+ All Categories
Home > Documents > Innovation Cost and the Nature and Direction of Learning:...

Innovation Cost and the Nature and Direction of Learning:...

Date post: 27-Jun-2020
Category:
Upload: others
View: 1 times
Download: 0 times
Share this document with a friend
50
Innovation Cost and the Nature and Direction of Learning: Lessons in Manufacturing Change and Automation (Previous title: Incremental Process Innovation and Competitive Cost Reduction) March 29, 2019 Kenneth L. Simons Department of Economics Rensselaer Polytechnic Institute 110 8 th Street Troy, NY 12180-3590 USA Tel: (518) 276-3296 Fax: (518) 276-2235 Email: [email protected] Acknowledgments: Omar ALShaye assisted in data collection by independently coding innovation characteristics from in-depth reading of articles, then discussing and agreeing appropriate treatment compared to the author’s coding. Helpful comments were provided by Michael Klein, Yu-li Ko, and seminar participants at the 2016 International Schumpeter Society Conference, the 2016 Industry Studies Conference, Colgate University, Rensselaer Polytechnic Institute, and the University at Albany.
Transcript
Page 1: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

Innovation Cost and the Nature and Direction of Learning: Lessons in Manufacturing Change and Automation

(Previous title: Incremental Process Innovation and Competitive Cost Reduction)

March 29, 2019

Kenneth L. Simons

Department of Economics Rensselaer Polytechnic Institute

110 8th Street Troy, NY 12180-3590

USA Tel: (518) 276-3296 Fax: (518) 276-2235

Email: [email protected] Acknowledgments: Omar ALShaye assisted in data collection by independently coding innovation characteristics from in-depth reading of articles, then discussing and agreeing appropriate treatment compared to the author’s coding. Helpful comments were provided by Michael Klein, Yu-li Ko, and seminar participants at the 2016 International Schumpeter Society Conference, the 2016 Industry Studies Conference, Colgate University, Rensselaer Polytechnic Institute, and the University at Albany.

Page 2: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

Innovation Cost and the Nature and Direction of Learning:

Lessons in Manufacturing Change and Automation

Abstract

Manufacturing cost “learning curves” are argued to result primarily from process

innovation, affecting not only the rate of learning, but also the nature and direction of learning.

A model of firm incentives for innovation opportunities implies that, in devising future

production cost reductions, larger firms innovate disproportionately, and larger firms

disproportionately pursue higher-cost-reduction innovations, expensive technologies,

mechanization, and new technological trajectories. The most detailed single-product process

innovations database apparently ever analyzed, with novel data on 303 television process

innovations, is assembled to test the model. Process innovations’ rate, nature, and direction

match the predictions. Sustained incremental process innovation, often in duplicate across firms

without appropriation of rights, occurred in diverse production steps. Process innovation

“learning” was associated with enhanced future business survival and market share. Moreover,

most innovations carried an innovation scope advantage for potential future electronics mass

manufacture.

Keywords:

learning curve, process innovation, R&D cost spreading, incremental technological change,

innovation incentives, manufacturing competitiveness, television receivers, electronics

Page 3: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

1

Innovation Cost and the Nature and Direction of Learning:

Lessons in Manufacturing Change and Automation

Causes underlying “learning by doing” have been important unknowns, investigated for

manufacturing firms in a small but growing number of industry and firm studies (Thompson

2012). While the term learning by doing is used as a synonym for cost reduction, most cost

reduction in manufacturing apparently results not “by doing” the making of goods, but by

deliberate cost-reducing efforts and activities. Capital investments (Thompson 2001) and a

search for lower-cost inputs (Sinclair, Klepper, and Cohen 2000) sometimes explain part of the

improvement. Innovation, however, explains improvement most frequently, through R&D,

engineering, and process management (Hatch and Mowery 1998, Sinclair, Klepper, and Cohen

2000, Levitt, List, and Syverson 2013, Hendel and Spiegel 2014). Engineers and other plant

employees deliberately investigate methods to lower manufacturing cost. 1 Despite the

preponderance of deliberate engineering and R&D as the identified cause of firms’ cost

reduction, these and other studies have not systematically identified and studied the underlying

innovative improvements.

I examine an industry, television manufacture, with substantial learning-by-doing

(Boston Consulting Group 1972). Could innovations have caused the industry’s learning curve

by making unit costs lower, especially for manufacturers with greater cumulative output? If so,

larger producers must have carried out substantially more process innovation. In addition to the

rate of innovation, the nature and direction of innovation should have differed predictably for

larger producers. I assess the character (minor or major), locus (within the manufacturing

process), direction (mechanical versus labor intensive), trajectory (related changes introducing a

new manufacturing approach), and scope (applicability to other products) of innovations, and

how they may be driven by firm size.

To understand the rate and direction of cost reduction, I develop a theoretical model. The

model extends the idea of R&D cost-spreading beyond implications for the rate of innovation

1 These insights arise from studies of, in order of first citation, World War II Liberty shipyards, a

Fortune 500 batch chemical production firm, semiconductor manufacturers, an automobile

manufacturing plant, and a steel mini mill.

Page 4: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

2

and product-process innovation differences, to consider correlates of high innovation cost. A

rate of innovation incentivized by expected sales motivated Schmookler (1966, 112-115) to

model R&D as driven by current output which predicts future sales. In his model, financial

returns make an invention worth commercialization if current sales predict that profit from future

sales will exceed the cost of invention. Competitive models in this spirit were developed by

Dasgupta and Stiglitz (1980) and Levin and Reiss (1988). The way firm size drives innovation,

Cohen and Klepper (1996b) showed, is fundamental to interpreting, and avoiding

misinterpretations of, the meaning of size-R&D relationships. However, this modeling approach

has almost never been taken beyond its ramifications for the rate of aggregate innovation. An

exception is that process innovation’s rate should be incentivized by current firm size, but not the

rate of novel product innovation that creates new markets (Cohen and Klepper 1996a).2 Yet, an

effect of R&D cost-spreading has been missed in theoretical analyses. Correlates of high

innovation cost must coincide with firm size in R&D cost-spreading models, since larger firms

pursue a greater proportion of higher-cost innovations than do smaller firms. This implies that

R&D incentives drive R&D in a way that propels not just the rate but also the nature and

direction of the learning curve.

The model depends on assumptions that are realistic for typical industries, but that differ

from common characterizations in economic models. Researchers’ attention on innovation has

gone mainly to product innovations that are major, winner-takes-all, saleable, and entrepreneurial

in spirit or practice. In contrast, process innovation is argued to be typically incremental,

duplicative, lacking in strong intellectual property rights, and routinely manageable. The

theoretical assumptions are compared to empirical facts of the industry.

Data used pertain to U.S. television receiver manufacture during 1947-1971. Television

was the celebrated postwar consumer product, spurring trade articles on television manufacture.

Focus articles described the layout and procedures of television receiver manufacturing plants,

and Electronics magazine paid engineers for tips and tricks to aid television receiver and other

electronics manufacturing. This literature makes television receiver process innovation

observable. From 219 trade articles, I document 303 innovations. A flood of small process

2 Their analysis does not distinguish incremental product improvements affecting quality, versus

new product introductions. The former should behave similarly to process innovation.

Page 5: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

3

innovations inside firms affected diverse aspects of television manufacturing. The dataset

assembled here is, as far as I am aware, the most extensive list of process innovations yet

analyzed for any single product.3 Identification exploits the fact that entry time in prior radio

manufacture closely predicted future television market share.

Findings reveal sustained innovation that completely reshaped manufacture. Innovations

combined evolutionary improvements with a shift to major new technologies, notably use of

printed circuit boards and automated methods that took advantage of printed circuit boards.

Larger firms dominated process innovation, as expected if the learning curve’s greater cost

reduction rate stemmed from innovation. Moreover, larger firms carried out not only the sorts of

easy innovations made by small firms—often through duplicate or near-duplicate innovations—

but also harder innovations. The average innovation of larger firms brought greater cost

reduction, occurred more often in parts of the manufacturing process involving expensive

equipment and technologies, involved more mechanization, and pertained more often to the new

trajectory of innovations involving printed circuit boards. Innovative leadership was strongly

related to greater future market share, and to survival in television manufacture. In addition,

many of the innovations developed had the scope to apply to other electronics mass manufacture

in future, putting successful innovators on a path to benefit in related future products.

In addition to the learning curve literature, this study contributes to work on the

determinants and direction of innovation. Product quality ordinarily exhibits continual ongoing

improvement, not abrupt change, suggesting as for Moore’s law that minor innovations steadily

enhance quality (Sahal 1981, Dosi and Nelson 2010, 67-69). This study identifies the

innovations behind such continual progress, whereas the underlying innovations have almost

always gone unmeasured. Innovation spending is thought generally to exhibit decreasing returns

to scale, although it remains on open question whether larger firms might be more efficient at

R&D (Cohen 2010). This study derives decreasing returns to scale in the direct innovation

production function from first principles (without precluding efficiency or dynamic causes that

may yield increasing returns), in order to examine how prospective innovations’ differing

marginal benefits—correlated with characteristics such as mechanization—propel the nature and

3 Abernathy, Clark, and Kantrow (1983) listed without statistical analysis 631 innovations for

automobiles, however, only 119 are process innovations.

Page 6: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

4

direction of innovative progress. Television manufacturing innovation apparently was propelled

this way. Innovations typically are not strongly protected by patents, and when patenting

increased after patent rights were strengthened, the increase has been found to be for legal

defense with no increase in innovation (Levin et al. 1987, Hall and Ziedonis 2001, Cohen,

Nelson, and Walsh 2003, Moser 2013). This study expands knowledge of how innovation

functions when patent protections do not drive innovation. The rate and the direction of

innovation have long been recognized as important (National Bureau of Economic Research

1962), yet as Furman and Teodoridis (2017) note, few studies have explored determinants of the

direction of innovation. This study describes forces underlying the direction of innovation.

The study also relates to contemporary concerns of automation and job loss. As

automation increased television manufacturing labor productivity, eventually decreasing the

industry-wide workforce, it brought low-cost goods that a post-war society especially desired. It

stimulated related industries including retail and television repair. It caused some television line

workers, mainly women, to shift out of painstaking assembly work, causing undesirable

unemployment to workers in some communities after years of industry growth, but leading them

into home activities or new lines of work that might have been more rewarding than the

assembly jobs they had held. These events may not be the same as events playing out today, but

it may be helpful to reflect on past automation events, and their causes as analyzed here, to

consider the same issues today.

The paper begins in section 1 with a model of process innovation that explains why firms

generate cost-reducing innovations in greater quantity, and with innovations of nature and

direction that push toward much greater efficiency. Section 2 presents the data on process

innovations, and shows how their character fits with key assumptions about the nature of

innovation in the model. Section 3 analyzes how the rate, character, locus, direction, trajectory,

and scope of innovation vary by firm size, and how innovation relates to future market share and

survival. Section 4 presents conclusions.

1. Cost Reduction from Incremental Process Innovation, In and Between Firms

Firm decisions on innovations—whether or not to pursue specific opportunities—

determine the rate, nature, and direction of aggregate process innovation, and how innovations

impact manufacturing cost. These determinants of innovation are characterized in a simple

theoretical model, building on the idea of innovation cost-spreading (Schmookler 1966,

Page 7: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

5

Dasgupta and Stiglitz 1980). The model relates closely to Cohen and Klepper’s (1996b) model

of innovation, to which it provides a theoretical underpinning in terms of individual process

innovations. However, the current model extends the analysis beyond the rate to the

characteristics and direction of process innovation. Firm growth costs are modeled as in Klepper

(1996).

1.1. Firm Innovation Decisions

Consider the growth of a firm from Q0 to Q1 , with an expansion cost, to achieve period-1

revenue. A firm has the production capacity, and distribution channels, managerial capacity,

etc., to produce Q0 of a product in period 0. The firm chooses production Q1 in period 1, and

therefore expands its capacity and carries out process innovation. Q0 will be interpreted broadly

as a measure of all firm characteristics that reduce the expansion cost to achieve each possible

Q1 . Expansion by ΔQ = Q1 −Q0 costs g(ΔQ) , and marginal adjustments in output become

increasingly expensive, ′′g (ΔQ) > 0 , with a minimum g(0) at 0. This adjustment cost depiction,

with a convex function, arises when training new workers and installing new equipment takes

scarce time from existing employees, who increasingly for higher ΔQ are less able to carry out

their normal duties. It also arises if, in establishing n out of n+1 sales and distribution channels,

a firm can choose the cheapest of the available n+1 so that the n+1 th channel is most

expensive. For simplicity, the firm’s prospective output is assumed to be modest relative to the

market, so the firm is a price taker. Period 1 revenue is pQ1 , where p is the equilibrium price.

Average production cost can be lowered through process innovation. Innovative

opportunities available are numerous. Each innovative opportunity k requires a cost of

innovative effort r k (in personnel and material), and yields a resulting reduction c0k in per-unit

production cost. Although many of these innovative opportunities have a degree of

unpredictability, on the whole the innovative enterprise is predictable enough, so that the total

mass of innovative activity may be treated as entirely predictable, and I abstract away from

randomness by inflating the cost of innovative effort to include the fraction of failures.

Innovative opportunities will be treated below as so numerous that they are well modeled as a

mass.

Page 8: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

6

The fruits of innovation are a reduction in per-unit production cost, C = C − d kc0

k

k∑ ,

where C is the average cost absent any process innovation, and d k is 1 if the firm decides to

implement innovation k or 0 otherwise. The firm pays in total for its innovative effort

r = d kr k

k∑ . This yields a profit of

Π = ( p −C + d kc0

k

k∑ )(Q0 + ΔQ)− g(ΔQ)− d kr k

k∑ . (1)

Optimal decisions are desired for ΔQ and all of the d k , hopefully with a simple

interpretation that the firm can intuit. Whatever ΔQ the firm chooses yields Q1 = Q0 + ΔQ . For

this ΔQ and Q1 , rewriting (1) then yields

Π = [( p −C)Q1 − g(ΔQ)]+ d kr kQ1

c0k

r k −1Q1

⎝⎜⎞

⎠⎟k∑ . (2)

Thus the benefit of implementing innovation k is exactly r kQ1 c0

k / r k −1/ Q1( ) , which is positive

if and only if c0k / r k >1/ Q1 . Ranking the innovations in order from highest to lowest value of

uk = c0

k / r k , which is the unit cost reduction per dollar spent on innovative effort, the firm

benefits from innovation k if and only if uk exceeds 1/ Q1 .4

In fact, each innovative opportunity can be considered a block of r k dollars that could be

spent on innovation, with each dollar yielding an average unit cost reduction of c0k / r k . Since

optimally all or none of these dollars will be spent, the cost of innovative effort and the unit

production cost can be normalized this way, yielding

d kr kQ1

c0k

r k −1Q1

⎝⎜⎞

⎠⎟k∑ = dℓQ1 uℓ −1/ Q1( )

ℓ∑ (3)

where ℓ indexes the individual dollars of prospective innovative expenditure, such that k(ℓ) is

the innovative opportunity associated with a prospective dollar spent, dℓ is 1 if spending occurs

4 For simplicity this analysis abstracts from dependencies, in which one innovation depends on

or displaces another.

Page 9: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

7

or 0 otherwise, and uℓ = c0k (ℓ) / r k (ℓ) is the average unit cost reduction that results if that particular

dollar is spent.

Treating the innovations as a mass, observe what happens if the firm prioritizes optimally

the innovations with the greatest returns. Then, from spending on innovation of

r = dℓ

ℓ∑ (= d kr k

k∑ ) , the resulting reduction in unit cost is

u(r) = dℓuℓ

ℓ∑ (= d kc0

k

k∑ ) . Here,

dℓ = 1 if and only if r is high enough that ℓ is within the first r prospective innovation dollars as

ranked from highest to lowest value of uℓ . This implies that u(r) is strictly increasing, with

successive dollars spent yielding a strictly non-increasing marginal reduction in unit cost.

Approximating the function as twice differentiable, this yields ′u (r) ≥ 0 and ′′u (r) ≤ 0 , and it is

natural to assume smooth derivatives in that ′u (r) > 0 and ′′u (r) < 0 . Regardless, an optimal

decision requires ′u (r) = 1/ Q1 , i.e., spending more money on innovation until the marginal dollar

brings a unit cost reduction of 1/ Q1 , so that the cost ($1) and benefit ( ′u (r)Q1 ) balance for the

marginal dollar of innovation.

An optimal decision therefore must simultaneously satisfy both the innovation rule,

′u (r) = 1/ Q1 , and an optimal growth rule, ′g (ΔQ) = p −C + u(r) . Both rules hold at the

maximum of Π = ( p −C + u(r))(Q0 + ΔQ)− g(ΔQ)− r .

This implies that r and ΔQ are increasing in Q0 . Using the implicit function theorem,

drdQ0

= ′u (r) ′′g (ΔQ)| H |

> 0 and

dΔQdQ0

= [ ′u (r)]2

| H |> 0 , with from the second order condition

| H |= − ′′u (r) ′′g (ΔQ)Q1 − [ ′u (r)]2 > 0 . The intuition is that Q0 increases Q1 , causing the firm to

innovate so much that the marginal benefit becomes as low as 1/ Q1 . ΔQ and r are chosen

together, for greater innovation r brings greater innovative benefit u(r) , lowering average

production cost, which incentivizes more growth ΔQ . In fact, prior firm size affects not only the

rate of innovation but also other characteristics of innovation.

1.2. Innovation Characteristics Compared Between Firms

As has been seen, firms with greater initial size, Q0 , create more innovations. With

further assumptions, initial size relates to the average values of characteristics of the innovations

Page 10: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

8

firms implement. In particular, some innovations are far more involved than others to

implement, per unit of benefit. These innovations’ innovation-cost-to-benefit ratio c0k / r k is

high. Such innovations are pursued only by firms that innovate enough to obtain high efficiency,

the largest firms, with 1/ Q1 and ′u (r) very near zero.

If firms are willing to pursue innovation with this low benefit-to-innovation-cost ratio,

what types of innovations—what innovation characteristics—become possible? Radical

innovations, with large average cost savings c0k relative to prior manufacturing practice, tend to

require entirely new approaches. They therefore demand unusually high ratios to benefits of

attentive engineering effort, investments in and adaptation of materials and equipment, and

pioneering of new ways to think and new mechanisms of production. Loci c1k in the

manufacturing process that involve costly equipment and technologies likewise tend to involve a

high ratio of innovative expense. A change to a hand assembly process, or a process with

inexpensive equipment, can be implemented readily, but a minor or major change to large

machines requires specialized equipment, tool design, and machining, with engineering labor and

material expenses. Mechanization c2k development likewise imposes a high innovation cost

ratio. Changing from hand work to mechanical work requires engineering expertise, plus often

material expenses for design, development, and construction of metal parts and molds and

electronic controls. New technological trajectories, c3k , impose a high innovation cost ratio

because of their novelty. New approaches require that engineers work out ideas and principles

still in their infancy, and tend to involve new process components necessarily developed in-

house.

Thus each of these characteristics (variables) j is correlated, among innovations (data

observations) k that are opportunities or are carried out, with a high innovation-cost-to-benefit

ratio (another variable): corr(cj

k ,c0k / r k ) > 0 for j = 0,1,2,3 . This suggests that as c0

k / r k

increases, for marginal innovations carried out in increasingly large firms, the expected value of

c j

k ordinarily increases. To guarantee the expected value increases, a mild regularity condition is

assumed regarding the joint probability density function of c0k ,…,c3

k and r k . The condition is

that the joint distribution of uk = c0

k / r k and c j

k , for each j = 0,1,2,3 , satisfies

Page 11: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

9

E[cj

k | uk = u ]> E[cjk | uk ≤ u ] for all possible u .5 As a result,

∂E[d kc jk ]

∂Q0

> 0 for j = 0,1,2,3 , so

that innovations with high values of c0k ,c1

k ,c2k ,c3

k are pursued disproportionately by the largest

firms, with 1/ Q1 and ′u (r) very near zero.

This does not apply for radical cost reductions that stem merely from adoption of a third-

party manufacturer’s equipment. Nor does it apply to a simple possible metric of mechanization,

the use of tools, since pre-existing tools can be put to use at little cost. Finally, the scope c4k of

applicability of innovations to manufacture of other products that the firm may make, at present

or in future, has no definitive reason to be associated with higher or lower innovative expense.

Scope is incentivized by the volumes of other products the firm makes, currently or in future,

although in television receiver manufacturing other contemporaneous electronic products lacked

comparable sales volumes with the partial exception of radios, and perhaps record players,

whose production methods were relatively well established.

1.3. Intellectual Property, Duplicative Effort, and Innovation over Time

Basic intellectual property models in economics suggest that firms should patent their

innovations, and sell them to other manufacturers. This would change the incentives to innovate,

causing even very small manufacturers to innovate comparably to large manufacturers. This

does not generally occur for incremental process innovations. Limitations of patents as means to

protect inventions are well known, since other firms can copy an idea without paying royalties

when lawsuits are often unsuccessful, can slightly change the original idea to invent around it,

and can keep secret their methods of production. Moreover, the specific methods of firms’

production processes vary so widely that an innovation that aids one firm’s production process

may need to be implemented quite differently for another firm’s production process. It is true

that some manufacturing equipment is developed and sold successfully by third-party makers,

which do successfully capture returns by selling to multiple manufacturers, however, the present

5 This ensures that

∂∂u

( f (uk ) / F(u ))E[cjk | uk ]duk

−∞

u

∫ > 0 , i.e., the conditional expectation of c j

k

is everywhere increasing with u , which is the highest value of uk pursued by a firm.

Page 12: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

10

analysis focuses on innovations carried out in-house within final product manufacturers, and

mere adoption of equipment from third-party equipment makers is not considered as innovation.

Since firms do not sell their innovations to each other, firms with similar production

processes develop their own, often similar, solutions to production problems. With

manufacturing lines and practical innovative solutions that are similar, the solutions can be

labeled duplicative innovations. Duplicative effort of this sort is entirely ordinary in typical

production activities. Since small and large firms alike carry out innovations with a high cost

reduction per dollar of activity ( uk ), the simplest innovations are duplicated throughout the

industry. However, only large firms duplicate each other in the more difficult innovations

needed to achieve very high efficiency.

The results of the model extend to a multi-period framework. A subsequent time period

t >1 allows further innovation within the set St–1 of innovative opportunities that existed

previously, plus a set St of new innovative opportunities. New opportunities arise because

revised operation and design of the manufacturing process creates opportunities for improvement

that were not previously possible or considered. They also arise because exogenous

technological advances in science, engineering, and tools enable modes of innovation not

previously available. Within St–1, old opportunities with low c0k / r k have been exhausted, so

larger firms only pursue innovations with higher c0k / r k relative to smaller firms’ choices.

Within St, larger firms exploit—just as was shown formally above—the same easy opportunities

as smaller firms plus additional opportunities with higher c0k / r k . Overall, the fraction of

innovations with an innovation-cost-to-benefit ratio greater than or equal to any specified amount

continues to be at least as large (i.e., to be stochastically dominant) among larger firms than

among smaller firms. Therefore, the model’s implications for correlates of high innovation-cost-

to-benefit, Propositions 2-5 below, continue to hold. Larger firms continue to innovate more,

Proposition 1 below, as long as new innovative opportunities are sufficiently numerous.

1.4. Distinctive Assumptions and Implications

To summarize, the model builds on assumptions distinct from some common portrayals

of innovation:

Page 13: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

11

A. Very many process innovations, generally incremental in character, occur rather than a

few indivisible changes. This makes aggregate outcomes more predictable, and not

dependent on success or failure in one or a few stochastic projects.

B. Innovative opportunities may be spread across multiple loci in the production process. If

so, the separate innovations in each locus (physically different location or separate

activity in the same location) further limit variability of aggregate outcomes from

stochastic projects.

C. Technological opportunity may be sustained for a long period, despite prior innovations’

completion, by building on prior innovations and exogenous technological change. This

causes process innovation to continue to affect manufacturing competitiveness and the

determination of industry structure.

D. Duplicative innovation arises frequently, with multiple firms developing similar or

identical ideas. This results, at least for many innovations, from intellectual property

rights failing to stimulate a common innovative solution that is sold on the market. This

signals also that multiple firms have the incentive to solve the same types of problems.

E. Innovation is frequently carried out in-house by manufacturers, despite any availability

of equipment and component innovations from third-party suppliers. This means that

innovation matters to competition, because it is not displaced by an upstream innovation

supply industry.

The regular need for a large flow of innovation, with limited stochastic variability, makes

innovation a routine firm activity. Far from depending on champions of unorthodox ideas, on

entrepreneurs or entrepreneurial individuals inside firms, instead established employees and

departments carry out the bulk of this routine incremental process innovation.

These assumptions set the stage for the model given above. As established formally in

the model, future sales incentivize process innovation, and prior size drives future sales. Thus

larger firms innovate more, explaining the learning curve’s association between production and

cost reduction. Moreover, larger firms have a distinct nature and direction of innovation. The

analysis of the model proved:

Proposition 1: Larger firms have a greater rate of process innovation.

Proposition 2: Larger firms disproportionately pioneer innovations with higher cost-

reducing impact.

Page 14: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

12

Proposition 3: Larger firms disproportionately improve parts of the manufacturing process

that involve costly equipment and technologies.

Proposition 4: Larger firms disproportionately mechanize.

Proposition 5: Larger firms disproportionately put to use new technological trajectories.

Thus, more radical innovations come mainly from the establishment, not the underdogs. These

propositions compare manufacturers of one product, excluding upstream and downstream firms.

This characterization of the nature and effects of process innovation beseeches a deep

investigation of process innovation through actual cases. Consider, then, the case of the

television receiver industry.

2. Television Manufacturing Innovation: The Distinctive Assumptions

Black-and-white televisions was one of the examples in a classic study of the Boston

Consulting Group (1972). The study documented a decline in price of many commercial

products following market inception, and inferred given competition a matching decline in

manufacturing cost. Black-and-white televisions’ price declined by a factor of 4.2 from 1947 to

1968 as cumulative output increased by a multiple of 726, as shown in Figure 1. The elasticity

of unit cost with respect to cumulative production was nearly constant at –0.13 in 1947-1953,

and then accelerated to –0.62 in 1953-1965 (or –0.53 in 1953-1968). What can be learned about

innovation’s role in this cost-reduction, and about the innovation process generally?

2.1. Innovation Data Sources and Codification

Articles on television manufacturing processes were catalogued in an annual trade and

technical bibliographic index, the Industrial Arts Index. Articles in categories titled “Television

Receiving Apparatus: Manufacture” and “Television Receivers: Manufacture” were obtained,

along with additional articles from television categories related to testing or other topics if they

appeared to pertain to manufacturing. Relevant articles were found during 1947 to 1971, and

came from the journals Electronics (145 articles), Tele-Tech (12), Iron Age (6), Journal of the

British Institute of Radio Engineers (6), Factory Management and Maintenance (5), Industrial

Finishing (5), Steel (5), and twenty-one other journals (3 or fewer articles each). Articles in

Electronics were often short manufacturing tips of a quarter page to about two pages. Some

articles (often in Tele-Tech) were special features containing many subsections, each the length

of a typical article. Each article was read closely to identify manufacturing methods, whether

Page 15: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

13

Figure 1. Black-and-white televisions’ real wholesale price (1958 US $) declined with cumulative industry output in the U.S., 1947-1968. Data from Boston Consulting Group (1972, p. 93). each method was described for the first time in the trade literature, and the firm or firms at which

the methods were used. When a technique was documented for the first time, it was recorded as

an innovation. Later uses by other firms were not considered innovations.

The resulting data provide a history of many of the process innovations made by firms in

the industry, including some very small innovations. Nonetheless, the smallest innovations were

presumably relatively rarely reported. In total 303 innovations were documented from a reading

of 219 articles. The innovations were reported for U.S. firms and occasionally (4.2% of

innovations) for English firms. Each innovation was categorized according to its locus in the

manufacturing process, ranked as to its apparent effect on unit (average) manufacturing cost, and

categorized according to metrics of mechanization, innovation trajectory, and scope of

applicability. Data were coded by the author, and innovation characteristics also were coded

Page 16: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

14

independently by an engineering student competent in manufacturing processes. Differences in

coding results were discussed to agree on appropriate treatment, except that for cost-impact ranks

only major differences were assessed. Definitions of the coding are given below.6

The innovations pertain mostly to black-and-white, and very occasionally to color,

television. Color televisions reached only 0.7% of U.S. homes by 1960 (Boedecker 1974, 44).

2.2. Minor and Major Innovation

Manufacturing cost impacts of innovations were ranked on a seven-point scale, to be

squared when comparing net impacts of innovations, as Abernathy, Clark, and Kantrow (1983)

did for innovation rankings in automobile manufacture. Unlike their rankings, the rankings here

estimate each innovation’s impact on unit (average) manufacturing cost, not impact on the nature

of the manufacturing process. The rankings were systematized using the definitions below.

The definitions refer to operators and stations. An operator is a person working in the

production plant. A station is a location at which one operator worked, or very occasionally two

operators because they had to deal simultaneously with the same physical object (as in early

work inserting the electronic innards into the furniture shell of a television, or in some early

crating work). More than 105 (in an early RCA plant) operator stations existed (Zeluff 1947).

6 An earlier version of the data, with cost-impact ranks but absent other measures of the direction

and nature of innovations, was developed previously by the author and used in research on

industry shakeouts and prior production experience (Klepper and Simons 1997, 2000a, 2005).

Beyond the 264 U.S. process innovations in the earlier version, innovations were added to

include 14 non-U.S. innovations and 25 more U.S. innovations. The U.S. additions include a

few innovations missed in earlier readings of the trade articles, and they disaggregate groups of

innovations by a consistent rule, instead of counting an entire group as one, in some cases where

separate improvements were related in purpose or locus. One of the most closely-related groups,

for example, involved (a) rubber pads designed to press against and thereby clinch tight the wire

leads that protruded below a printed circuit board, (b) an aluminum molding technique to

develop master molds to make in quantity the rubber clinching pads in place of a prior hand-

carving method to make the pads, and (c) development of a foot pedal trigger in a cut-and-clinch

machine for an operator to activate hydraulic cylinders that sequentially patted down the

protruding wire leads and then cut and clinched them.

Page 17: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

15

Innovations rated 1 affected a single operator and made little or no apparent difference, or

affected multiple operators and made no apparent difference, in manufacturing cost. Innovations

rated 2 made a substantial difference at one production operator’s station, or helped a little at

multiple stations. Innovations rated 3-4 helped a lot at one station, or fairly significantly at

multiple stations, with only the apparently more significant innovations rated 4. Innovations

rated 5 helped a lot at multiple stations, or were requisite to get something done at one station

given how the production line was newly set up. Innovations rated 6-7 yielded substantial to

major cost savings in many parts of the plant and often opened up avenues for yet more

improvement, with particularly substantial and widespread cost savings required for a rating of 7.

An example innovation with rank 2 was a foot switch that controlled air flow to an anvil riveter,

pneumatically allowing an operator to locate where riveting to a chassis would occur. An

example innovation with rank 6 was an automated machine that replaced hand soldering of

components by moving television chassis or circuit boards with electronic components already

inserted, lifting them above a continuous wave of liquid solder to create permanent electrical

connections between the wires of different components, for many components at once.

Assessing the relative importance of smaller and larger innovations is complicated by an

information availability bias and by subjectivity in assessment. The information availability bias

weighs toward reporting of innovations that are relatively major, since major innovations are

most noticeable and have the greatest interest to trade magazine readers. Hence the actual

number of minor innovations is probably much greater than is apparent here. Subjectivity in

assessing the impacts of innovations is unavoidable, since comparative data are rarely available

on specific cost-savings resulting from each innovation. Nevertheless, the consistent definitions

used during coding appear likely to yield well-defined estimates with modest error and no

evident bias. Hence the distribution of innovations reported here is likely to represent well the

actual distribution of innovations reported in the trade literature, but is likely to undercount

substantially the actual numbers of very minor innovations.

The distribution of impact rankings across innovations is shown in Table 1. Most of the

innovations involved small manufacturing process changes. Only three, two, and nine

innovations respectively have the highest ranks of 7, 6, and 5. In contrast, 16 innovations have

rank 4, 68 have rank 3, 147 have rank 2, and 58 have rank 1.

Page 18: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

16

Table 1. Process Innovations’ Cost Impact Ranks: Frequencies and Summed Squares Ranking of Impact Number of Innovations Frequency (%) Sum of Rank^2

7 3 1.0 147 6 2 0.7 72 5 9 3.0 225 4 16 5.3 256 3 68 22.4 612 2 147 48.5 588 1 58 19.1 58

Among the 303 innovations, only 1.7% were ranked 6-7, and 9.9% were ranked 4-7,

indicating that innovations that brought widespread benefits, or even major benefits local to one

part of the manufacturing process, were a small minority. In contrast, 22.4% had rank 3, with a

substantial benefit at one production operator’s station or a more modest benefit across multiple

operators’ stations, 48.5% had rank 2, causing a substantial benefit at one operator’s station or a

little at multiple stations, and 19.1% had rank 1 with its more minor benefit. This confirms that

indeed most of the innovations are relatively minor. Consistent with Distinctive Assumption A,

individual innovations appear to be large in number, and limited in importance relative to the

large amount of overall manufacturing innovation.

Using the squared ranks to estimate roughly the total impact of innovations, as did

Abernathy, Clark, and Kantrow (1983), again suggests that minor innovations have a net effect

that is very substantial. The sum of the squared rankings is greatest for innovations of rank 3,

totaling 612, versus 256, 225, 72, and 147 respectively for the next four higher ranks, and versus

588 and 58 respectively for innovations of rank 2 and 1. If as expected the number of very small

innovations is greatly underreported, then the net effect of relatively minor innovations is again

estimated to be especially substantial. Hence, minor innovations perhaps exceeded major

innovations in total importance.

2.3. Loci of Innovation

Loci of innovation are shown in Figure 2, in which the blocks pertain to parts of the

manufacturing process. The chassis or interior frame of a television was first built up and riveted

together (1), in preparation for the placement of numerous electronic components inside the

chassis. Component parts, usually purchased from third-party suppliers, were collected, tested

where needed for quality assurance, sometimes worked on further, and sorted into bins (2).

Page 19: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

17

1.Chassisframe

buildingandriveting

3.Manufactureofcoilsandyokes

2.Preparationofpartsforassemblyorautomaticinsertion

4.Printedcircuitboards

6.Assemblyofchassis(manualorautomatic)

7.Soldering

8.Testingandalignment

9.Picturetubes

11.Puttingchassisandotherpartsintocabinet

12.Cratingandpacking

10.Cabinetmaking

13.Conveyorsandmovers

14.Positioningmethodsincludingchassistrunnions

5.Designchangestofacilitateassemblyor

decreasefaults

15.Other

Figure 2. Categorization of television receiver process innovations. Some components, including coils and yokes (3) and sometimes printed circuit boards (4) were

prepared inside the factory. Design changes in the television itself (5) had implications for the

manufacturing process, and careful design could facilitate assembly as well as decrease

assembly-related faults. Components were assembled into the chassis, initially by a long line of

employees who plucked parts from bins and placed them into the correct locations in the chassis

or circuit boards (6). Wire leads of the components needed to be attached to each other or to

Page 20: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

18

circuit boards, and this was done by soldering (7), that is, using a melted metal alloy to attach the

component wires. Soldering of sub-assemblies or parts just assembled might be done before

further assembly, so assembly and soldering were intermixed operations, and together accounted

for the biggest part of the production process. After and sometimes during assembly, the

electronics of a television receiver were tested and aligned (8), in part by attaching a picture tube

and having the assembled television receive a test signal broadcast within the manufacturing

plant, then adjusting the circuitry for signal reception. Picture tubes (9) were occasionally made

by the manufacturer of the television receiver, in a separate plant, but more often were bought

from third-party manufacturers and tested after arrival. Hence picture tube manufacturing

innovations are not analyzed here. Cabinets were commonly made within the same television

manufacturing plant or firm (10). The assembled chassis and picture tube were together slid

into a cabinet (11), then packed into a box and crated for shipping (12).

Movements between steps in assembly and soldering, transport to the testing and

alignment station and possibly to the station where the electronics were loaded into the cabinet,

and specific part assembly, were aided by additional parts of the manufacturing plant. These

additional parts are indicated by the dashed vertical blocks in the middle. Conveyors and movers

(13), including rollers, mechanized conveyer belts, or overhead movers, facilitated transport

from one worker’s station or section of a plant to another. Positioning devices (14) including

fixtures and jigs were custom-designed to hold pieces of work and help guide assembly and

soldering operations, plus chassis trunnions, which allowed the chassis to be pivoted during work

operations. Movers and positioning devices also appeared less frequently in other parts of the

process, such as cabinet making, even outside of the dashed lines.

An “Other” category (15) is used for parts of the manufacturing process not classified

elsewhere. This includes plant layout, output count, quality control scoreboards to motivate

employees, use of test results to guide operational improvements, and plants’ production of

pollutants. Five of the 303 innovations were classified in the “Other” category.

As an example of early plant layout, RCA Victor’s plant in 1947 used a conveyor belt

moving, at a speed of 50 feet per hour, through 80 chassis-assembly stations (Zeluff 1947).

Chassis assembly work at most stations occurred in two-minute cycles, for a total chassis-

assembly time of 160 minutes. This figure includes riveting of sockets, classified in Figure 2 in

category 1, and pertains mainly to categories 6 and 7. In addition to the 80 assemblers, each

Page 21: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

19

Table 2. Innovations by Locus (%), by Period Locus All

Years 1947-

50 1951-

54 1955-

58 1959-

71 N p-

value 1. Chassis frame building 5.3 15.8 5.7 0.0 0.0 16 0.000 2. Preparation of parts 8.3 5.3 13.1 5.5 0.0 25 0.116 3. Manufacture of coils and yokes 7.3 1.8 12.3 3.7 13.3 22 0.013 4. Printed circuit boards 5.6 0.0 2.5 10.1 20.0 17 0.001 5. Design changes for assembly 3.0 3.5 2.5 3.7 0.0 9 0.891 6. Assembly of chassis 10.9 10.5 4.1 19.3 6.7 33 0.003 7. Soldering 6.6 1.8 7.4 8.3 6.7 20 0.352 8. Testing and alignment 12.5 19.3 14.8 7.3 6.7 38 0.103 10. Cabinet making 8.9 19.3 7.4 4.6 13.3 27 0.014 11. Putting chassis into cabinet 4.3 0.0 6.6 4.6 0.0 13 0.205 12. Crating and packing 2.3 1.8 1.6 1.8 13.3 7 0.109 13. Conveyors and movers 12.9 12.3 9.8 16.5 13.3 39 0.503 14. Positioning methods 10.6 7.0 9.8 14.7 0.0 32 0.273 15. Other 1.7 1.8 2.5 0.0 6.7 5 0.112 Total 100.0 100.0 100.0 100.0 100.0 303 N by Time Period 303 57 122 109 15 Note: p-value for each locus uses Fisher’s exact test, for the null hypothesis that an innovation’s probability of being in that locus remained constant across all four periods. Gray shading for 1959-1971 indicates limited data availability. production line required eight inspectors, three wire dressers, four repair men, and ten testers.

Ten of the 80 assemblers dealt with mechanical operations, attaching parts and subassemblies

and soldering and crimping their wires, and nine of the 80 dealt with switch subassembly, to

make coils and assemble them into a tuner so users could select one of thirteen channels.

Installation of the chassis and picture tube into cabinets, which were separately prepared, and

boxing and crating, occurred after the main assembly.

Innovation was spread across all these parts of the production line. In Table 2, the

column labeled All Years reports the percentage of all innovations in each locus within the

production process. The most frequent loci were assembly of chassis (6), testing and alignment

(8), conveyors and movers (13), and positioning methods (14), each with 10.6% to 12.9% of

innovations. Most loci had about 4-9% of innovations each (1,2,3,4,7,10,11). Design changes

for assembly (5), crating and packing (12), and other (15) had about 2-3% of innovations each.

Thus, consistent with Distinctive Assumption B, the 303 innovations were spread widely across

parts of the manufacturing process.

Page 22: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

20

2.4. Loci of Innovation Over Time

Despite some shifts in the loci of innovation over time, innovation remained widely

spread across the parts of the manufacturing process. Hence while some natural evolution

occurred in innovative emphasis, the large number of innovations remained spread across many

topics, contributing to the extent to which innovation in television receiver manufacturers was a

race to keep up, rather than a win-or-lose gamble. The shifts in loci of innovation are

documented in Table 2. Attention is focused on the twelve years 1947 through 1958. The

twelve years are divided into three four-year periods, each of which has at least 57 documented

innovations. After 1958, when trade journals reported much less on television manufacturing,

data are available only for 15 innovations, so the post-1958 period is ignored below. Differences

across time periods are statistically significant, p<.10 using Fisher’s exact test, for 5 of 14 loci,

versus the null hypothesis of a constant probability that an innovation pertains to a given locus.

Chassis frame building innovation and cabinet making innovation mainly occurred early, chassis

assembly innovation slowed during the middle four years, manufacture of wire coils and yokes

innovation increased during the middle four years, and innovation in making printed circuit

boards awaited development of practical printed circuit board technology in the mid-1950s.

Thus, in almost all parts of the manufacturing process, innovation continued across time.

There were not discrete shifts of attention from one part of the process early on to a different part

later. Consistent with Distinctive Assumptions B and C, the many parts of the manufacturing

process, and the continuing innovation across these parts, helped limit the effect of any one

innovation and imply a need for continuing innovation in many different forms.

2.5. Duplicative Innovative Effort

Many innovations sought to solve the same problem, although often arriving at rather

different solutions. For example, conveyors and movers used by firms to move chassis being

assembled between operators were remarkably diverse. In some firms, workers slid the chassis

along worktops, while in others wheeled dollies were placed beneath the chassis, or a continual

line of rollers was placed along the production line to facilitate pushing, or conveyor belts moved

the chassis either continually or at time intervals. These systems to move the chassis being

worked on were improved over time as engineers continued to seek efficiency gains in the

production line.

Page 23: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

21

In many other cases, the list of innovations and the articles reveal diverse solutions across

firms to particular sorts of manufacturing problems. Diversity was apparent for example in the

placement of machinery to punch holes in sheet steel to build an empty chassis, the number and

layout of holes to be punched simultaneously in a succession of punching operations, the method

of twisting together wires by operators (including by hand and with automated air guns),

methods of soldering wires, testing procedures and layout and function of test equipment used to

verify correct operation of all or part of the circuitry in a television receiver, methods used to

hold wooden parts in place when building cabinets (and replacement manufacturing methods for

steel or plastic cabinets which required their own process innovations), burn-in arrangements in

which sets were left turned on for a period to verify their continued operation, and methods to

put assembled television receivers into packing boxes and close the boxes.7 Such diversity in the

solutions obtained by firms for common problems is consistent with Distinctive Assumption D.

2.6. Sources of Innovation

Of the 303 process innovations documented in the literature, only 25-29 involved

suppliers, and only 14-18 came solely from suppliers including 6 that were changes solely to

supplier production lines.8 Suppliers did contribute substantively to innovation beyond what was

documented in the trade articles, just not in a manner that undermined the importance of in-house

innovation by the television receiver manufacturers. Basic components were purchased from

parts suppliers. The most notable pre-assembled part purchased from suppliers was cathode-ray

picture tubes. Also, pre-assembled tuners (to tune in broadcast signals) became available and

some firms used these pre-assembled building blocks. Cathode ray picture tubes were

manufactured by many U.S. firms, according to lists in successive editions of Television

Factbook, with the number of manufacturers growing from 30 in 1949 to 68 in 1956, before

falling to 14 in 1971. Many picture tube manufacturers were also television manufacturers.

Television tuner manufacturers were documented in annual editions of Electronics Buyers

7 Closer duplicate innovations are not measured here, as information is not necessarily published

on additional manufacturers’ implementation of a previously described manufacturing method. 8 Four innovations were developed by multiple unspecified firms that may or may not have

included television receiver manufacturers. Six were for television coil and tuner production

lines at supplier firms.

Page 24: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

22

Guide, which listed 7 U.S. manufacturers in 1949, then 28 in 1950, and dropping to 13 in 1957, 8

in 1967, and 13 in 1971. Several television tuner manufacturers were also television

manufacturers. An effort to encourage use of standardized “Project Tinkertoy” designs of all

component building blocks and entire sets seems in contrast to have been doomed by its

inflexibility to product improvement.

Manufacturing machinery that became widely available in the 1950s played important

roles in television receiver manufacturing change, with equipment to automatically insert

components in printed circuit boards, board processing equipment, and other mechanical tools,

from firms including United Shoe Machinery Corporation. Some television receiver

manufacturers worked with machinery suppliers to be on the leading edge of equipment

development and adoption, but the trade literature makes no mention of any exclusive contracts

that would prevent sale of manufacturing equipment to other television receiver manufacturers.

Hence supplier innovation, consistent with Distinctive Assumption E, did not displace most of

the in-house innovation within television receiver manufacturers, nor did suppliers or television

receiver manufacturers prevent supply of components or equipment to some television

manufacturers.

2.7. Other Context: Product Innovation, Reliability, Worker Learning, and Organization

Product innovation also occurred steadily. Product innovations necessitated changes to

precise manufacturing activity at specific locations in a plant, however, they almost never

required a change in overall manufacturing technique. Inserting components and wires for

revised electronic circuits required one or a few assembly operators, or later machines, to have

revised bins of parts and to be given revised directions to carry out the revised insertion and

soldering process; also, an operator’s test procedure might be revised. A larger television screen

size might require a change to the width and spacing of the moving assembly line, however,

some production lines accommodated multiple picture tube sizes, or even used a single chassis

design that accommodated either of two screen sizes. Internal product reengineering was carried

out to facilitate manufacturing efficiency, and these product reengineering efforts are almost

never captured in the innovations data. These changes took place regardless of, and when

relevant in conjunction with, any feature changes to the televisions. The switch to printed circuit

boards in particular necessitated such internal product reengineering. One product change, the

switch from wood to plastic and steel cabinets and to printed veneers, required substantial

Page 25: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

23

process innovations documented here in cabinet manufacture, and was driven substantially by a

goal of reduced material and production cost. Thus, product redesign innovations to facilitate

manufacturing are almost all unmeasured in this study, but relations between product and process

innovation do not otherwise appear to bias analyses.

Reliability of television receivers, not only cost, benefited from manufacturing

improvements. Innovations that enhanced reliability included use of integrated circuit boards,

automatic insertion, and dip soldering (Arnold 1985, 113-114). Since these types of innovations

tended to have high cost reduction ranks, cost reduction ranks seem to be correlated positively

with reliability enhancement. Thus, firms successful at cost reduction would also have

succeeded in reliability improvement.

Worker learning by production line workers contributed little to the television

manufacturing cost learning curve. Production line employees trained before they carried out

operations on the line, where they operated at full speed. Training to full speed for a television

hand-wiring operation required 1-4 weeks for an inexperienced operator, or under 5 days for an

experienced operator (Miller and Rogers 1964, 437). Such rapid saturation of production worker

learning has been found to be typical, and therefore apparently cannot explain most

manufacturing cost reduction curves (Thompson 2012).

Large manufacturers constructed organizational structures to routinize innovation. For

example, departments of Philco involved in developing televisions and their production included

Design Engineering, Factory Engineering, Field Engineering, Cabinet Design, Industrial

Engineering, Production, and Purchasing (Tele-Tech 1948). Field Engineering worked with

Design Engineering to ensure customer satisfaction. Factory Engineering and Design

Engineering coordinated on design improvements. Factory Engineering then redesigned and re-

tested sets to facilitate the mass production overseen by Industrial Engineering.

3. Innovating Firms: Tests of Propositions

If deliberate process innovations drove the cost reduction curve in television

manufacture, then each firm’s output should be closely associated with its innovative output.

That is, the increments associated with each firm’s cumulative output—the bottom axis of the

cost curve—should drive innovation, which in turn drives lower cost. Specifically, current

output predicts expected future output, which incentivizes innovation (Sinclair, Klepper, and

Cohen 2000). Treating the output increments as approximately constant over time, an

Page 26: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

24

assumption borne out by available market share data (Datta 1971), firms’ production in 1950 is

used as the key independent variable.

If R&D cost-spreading correctly describes firms’ innovation incentives, then the nature

and direction of innovation should have been affected. Larger producers’ work on more

marginal (lower benefit-to-innovation-cost ratio) innovations should coincide with correlates of

these innovations. Larger firms should disproportionately have made higher-impact innovations,

enhanced manufacturing loci with costly equipment and technologies, mechanized, and pursued

new technological trajectories.

3.1. Firm Output

Production of television manufacturers is measured with the earliest fairly systematic

market share data after television manufacture began following World War II, that is, 1950

market share data. The 1950 data allow time for early random variation in dates when firms

entered and in growth immediately after the close of World War II. Although a few television

receivers were made before World War II, U.S. production was barred during the war. Market

share data are available in various subsequent years, but year-to-year variability and

measurement error inhibit its usefulness as a panel, so a single early year is used.

Market shares stem primarily from Datta (1971, 215-216, 295), yielding data that total

69.6%. Sears’ 0.8% share from Datta is attributed one-third each to Air King and the other two

firms that produced for Sears around this period (Carbonara 1989) (see also Television Digest

and FM Reports issues from 1948). For remaining firms, projected 1950 outputs from the

Television Shares Management Co. (TSMC) are used if available (Barron's 1950), multiplied by

a constant of proportionality such that firms in both sources have the same total share. This

leaves 5.83% of sales unaccounted for. Half the remainder is attributed evenly to 11 second-

echelon firms listed by TSMC without output projections and not listed by Datta, while the other

half is attributed evenly to 69 firms that lack any indication of share in the two data sources.

Firms not manufacturing in 1950 have 0 market share, but when computing log 1950 market

share they are not dropped from the sample. Rather, they are assigned one standard deviation

Page 27: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

25

lower log market share than the lowest value for 1950 manufacturers, to acknowledge their

smaller size and avoid undue influence on the results while retaining the firms in the analysis.9

3.2. Identification

How can the effects of firm output on innovation be well identified? An immediate

problem is that market share measures are largely unavailable until 1950, whereas the innovation

data begin from 1947. A further problem is that one might worry that important correlated

variables, not caused by firm size, just happen to be correlated with output. To solve both

problems, it is desirable to use some kind of instrumental variables strategy, with the instruments

constituting as-if random variation.

An extensive search yielded no true random variables with sufficient power to serve as

instruments. However, a next-best alternative is available: a quasi-experimental process that

drove firm output in television manufacture. The earlier industry of radio, beginning in the

1910s, experienced a rise from 148 radio apparatus manufacturers in 1922 to 347 in 1925 and

then a fall to 121 manufacturers by 1940 (from annual editions of Thomas’ Register of American

Manufacturers). Such shakeouts in industries signal a process in which, through a race to keep

up competitively, some successful firms—disproportionately early entrants—gain leading

market shares while most other firms exit (Gort and Klepper 1982, Klepper and Graddy 1990,

Klepper 1996, Klepper and Simons 1997, 2000b, 2005). Moreover, some industries build firm

capabilities that carry great advantage when firms enter certain subsequent industries. This was

the case with radio manufacturers entering television manufacture (Klepper and Simons 2000a).

Therefore, entry time into radio manufacture largely determined radio success, which in turn

determined firms’ initial position Q0 upon entry in television manufacture.10

9 The estimates retain the same sign and remain statistically significant if firms not

manufacturing in 1950 are assigned two or zero standard deviations lower log market share than

the lowest value for 1950 manufacturers, or if they are dropped from the sample. 10 The skill of a firm’s entrepreneur-innovator managers also, in the theory of Klepper (1996),

predicts success. However, that theoretical model predicts that with time the difference in

managerial skill among surviving firms diminishes. Skill differences thus should become

relatively unimportant (especially after controlling for size), simultaneously as size differences

between firms become enormous, with entry time and skill driving firm output.

Page 28: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

26

This identification strategy ensures against simultaneity bias, and also prevents bias from

most potential correlated variables. It does not distinguish among characteristics of firms that

are caused by firm size. If radio output drives television output and also creates a culture of

innovativeness, then it is not possible to separate such size-related traits and to identify effects of

a specific size-related trait. Identifying the effects of firm size is a very challenging problem,

and to the best of the author’s knowledge, no prior study of the learning curve has used an

experimental or quasi-experimental identification strategy.

Instrumental variables include radio entry time, as well as alternative instruments using

measures of radio production market share and firm size.11 The first date of a firm’s radio

manufacture was assessed using radio enthusiast listings of radio models, often complete with

photographs and schematics, at the website radiomuseum.org. Radio manufacture by 1940 and

in 1940 were assessed from the same website. Capitalization of at least $1 million was assessed

for radio manufacturers in 1940 based on whether the Thomas’ Register of American

Manufacturers listed each firm with this much capitalization in its December 1939 edition;

identical data arise from the December 1940 edition. Log market share of radio receiver unit

sales in 1940 stems from MacLaurin (1949, 146), who lists production for 18 firms totaling 87%

of U.S. output. Firms that began radio production after 1940 are identified using an indicator

variable set to one, versus zero for earlier entrants, and are assigned the mean radio production

date, thus excluding post-1940 information from the instruments. Firms lacking radio receiver

market shares are catalogued using indicator variables equal to one for cases without data or zero

with data, and the log share values set to zero in case of missing data, allowing these firms’ mean

log market share times a coefficient to be estimated from the data.

First-stage regressions of the logarithms of 1950 television market shares on the above

instruments are reported in Table 3. In column (1), the radio entry time variables—first year of

radio manufacture and non-production of radios by 1940—strongly predict television market

share in 1950. For each year earlier entry into radio manufacture, 1950 television market share is

11 Information compilation is based on firm names. Former firm names, acquisitions, and

mergers in television manufacturers’ past were traced using numerous historical and enthusiast

books and websites, intensive searches of New York Times articles, and other newspapers and

magazines. Merged firms use the combined market shares of their predecessors.

Page 29: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

27

Table 3. First-Stage OLS Regressions: Television Manufacturing Log Market Share in 1950 as Determined by Prior Radio Manufacturing — Observations on Firms — — on Innovations — (1) (2) (3) (4) (5) Min[Year of Entry in Radio -0.102* -0.00825 -0.0567*** Manufacture,1940] – 1910 (0.0444) (0.0448) (0.00492)

No Entry in Radio Manufacture -2.159*** -1.176* -0.913*** by 1940 (0.294) (0.519) (0.116)

Radio Maker, < $1 million 2.017* 0.835 -0.530** capitalization in 1940 (0.802) (1.041) (0.198)

Radio Maker, ≥ $1 million 2.608*** 1.530+ -0.0319 capitalization in 1940 (0.659) (0.873) (0.192)

Log Market Share in 1940 1.197*** 1.178** 0.854*** (0.337) (0.396) (0.0621) No Data on Market Share in 1940 -0.642 -0.524 1.011*** (0.816) (0.879) (0.172) Constant 0.662 -3.338*** -2.060* 2.416*** 0.459*** (0.842) (0.104) (1.018) (0.0648) (0.0990) R2 0.375 0.485 0.502 0.377 0.534 F 31.19 109.8 74.23 150.6 160.9 Notes: Columns (1)-(3) use 160 observations, each a firm. Robust standard errors in parentheses. Columns (4)-(5) use 285 innovation-firm pairs representing 271 innovations. Standard errors in parentheses are cluster-robust, clustered by innovation, since some innovations were developed by multiple firms. + p<.10, * p<.05, ** p<.01, *** p<.001. estimated to have been higher by (exp(0.102)–1=) 10.7%, equivalent to 7.7 times more share for

20 years earlier entry. Firms that did not produce radios by 1940 are estimated to have had only

11.5% of the shares of firms that began producing radios at the mean time of 1928.4.

In column (2), radio manufacturers with under $1 million of capitalization in 1940 are

estimated to have had 7.5 times more (geometric mean) television receiver market share in 1950,

and those with at least $1 million of capitalization are estimated to have had 13.6 times more

share, relative to nonradio manufacturers’ estimated 1950 share. A 1% increase in 1940 radio

share yielded an estimated 1.20% increase in 1950 television share. In column (3), all the

instruments of columns (1) and (2) are combined, with little increase in predictive power.

Predictive power is strong in all three models, with the regressors explaining 38%, 49%, and

50% of the variance in 1950 market share in the three successive models. The model F statistics

of 31.9 to 109.8 consistently indicate a strong instrumental variable relationship.

While the analyses in columns (1)-(3) use data on firms, a majority of the analyses to

follow use data on innovations, typically with multiple innovations per firm. Sample data on

Page 30: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

28

innovations therefore are used in columns (4) and (5), and the first two models’ estimates are

repeated. Individual point estimates vary substantially across the two different samples.

Nonetheless, the first-stage relationships predicting log 1950 television market share remain

strong. R2 values indicate 38% to 53% of the variance in log 1950 television market share is

explained, with F statistics of 150.6 and 160.9, so there is a strong first-stage relationship in each

sample.

Innovation outcomes were regressed on 1950 television market share using the first set of

instruments above, year of entry into radio manufacture and non-entry by 1940, by generalized

method of moments (GMM) or instrumental variables probit (IVP) estimation.12 Estimates for

all outcome variables are in Table 4. These estimates are evaluated in the upcoming sections.

3.3. Number of Innovations

Table 4 reports, in its first two entries, GMM estimates of the effects of firm size on

quantity of innovation, measured in terms of a count of innovations and the summed squared

cost-reduction ranks of innovations. The GMM estimates are very close to ordinary least squares

estimates. The estimates imply an additional 0.37 innovations per year and an additional 2.1

summed squared rank points per year as a result of a one standard deviation (1.77) increase in

log 1950 television receiver market share. This compares to a mean of 0.15 and standard

12 The second set of instruments, using indicators for radio manufacture in 1940 with or without

at least $1 million of capitalization plus log 1940 radio manufacturing share and its no-data

indicator, is used for sensitivity analyses. Also tried in sensitivity analyses is the strategy of

restricting information on radio manufacturing entry dates to 1934 or 1935, coupled respectively

with either market share in 1934 for ten radio manufacturers totaling 85% of U.S. output, from

Fortune (1935, 173), or market share of radio receiver revenues in 1935 using Census of

Manufactures returns for the largest seven radio receiver manufacturing plants, from Scott and

Ziebarth (2015, 1106). The latter market share measures had more modest statistical power,

given they had few firms with available data. The findings are generally quite robust to these

changes in instrumentation, or even to treating log 1950 television market share as exogenous,

albeit with differences in the point estimates and significance levels. Alternatively, restricting

estimation years to 1951 and later, or 1950 and later, the results again remain robust. In all these

cases, the estimates retain the same sign, and they almost always remain statistically significant.

Page 31: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

29

Table 4. Second-Stage Estimated Effects of Ln(Market Share in 1950) Dependent Variable (Model) Estimate Dependent Variable (Model) Estimate Innovations per Year (GMM) 0.208*** Tool Use (IVP) -0.195 (0.0474) (0.181) Rank2 per Year (GMM) 1.192*** Automation (IVP) 0.294* (0.273) (0.138) Rank≥2 (IVP) 0.446** Multiple Operation (IVP) 0.269+ (0.151) (0.139) Rank≥3 (IVP) 0.513*** Multiple in 1 Machine (IVP) 0.376** (0.130) (0.142) Rank≥4 (IVP) 0.633*** Complex (IVP) 0.616* (0.167) (0.250) Rank≥5 (IVP) 0.510* Complex in 1 Machine (IVP) 0.798** (0.226) (0.265) Rank≥6 (IVP) 0.467+ Printed Circuit Board 0.989*** (0.260) Related (IVP) (0.125) Rank=7 (IVP) 0.770 General Purpose (IVP) 0.197 (0.510) (0.198) Loci with ≥ 25% of Innov. 0.305* Non-Specialized (IVP) -0.211 Embodied in Large Equip. (IVP) (0.131) (0.137)

Assembly, Soldering, Printed 0.689*** Circuits, and Chassis (IVP) (0.134)

Notes: First two estimates use generalized method of moments (GMM) with 160 observations on firms. All other estimates use instrumental variables probit (IVP) regression maximum likelihood estimates with 285 observations on innovation-firm pairs representing 271 innovations. Ln(Market Share in 1950) is treated as endogenous, with the instruments: year of entry into radio manufacture – 1910 (or mean thereof if entry did not occur by 1940) and no entry into radio manufacture by 1940 (1 if true or 0 otherwise). GMM uses asymptotic efficient (under heteroskedasticity) weight matrices. Standard errors in parentheses are robust for GMM, and cluster-robust, clustered by innovation, for IVP since some innovations were developed by multiple firms. + p<.10, * p<.05, ** p<.01, *** p<.001. deviation of 0.57 for the annual number of innovations, and a mean of 0.90 and standard

deviation of 3.44 for the annual sum of squared cost-impact ranks of innovations. Both estimates

are statistically significant (p<.10). These estimated relationships are plotted in Figure 3, for the

range of market shares of innovating firms.

Television process innovators are reported in Table 5, along with their numbers of

innovations and total squared rank of innovations during 1948-1958, in total and per year. The

table is sorted in decreasing order by squared rank of innovations per year. The market shares of

these firms in television receiver manufacturing can be traced back to earlier experience in radio

manufacture. Many of the firms in the list had substantial market shares of television receivers

Page 32: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

30

Figure 3. Estimated number of innovations and sum of squared cost-impact ranks of innovations. Logarithmic horizontal axis shows percentage market share in 1950, for the full range of market shares of firms with innovations (firms with zero market share in 1950 never innovated). produced in 1950, and of radios sold in 1940. The leading firms in the table, Philco and RCA,

had the leading 1950 television (1940 radio) shares at 12.7% (14.6%) and 17.8% (14.8%),

respectively. DuMont had 3.9% (unknown), General Electric 7.9% (3.1%), Admiral 9.5%

(unknown), Westinghouse 2.9% (unknown), CBS-Columbia 1.9% (unknown), Emerson 3.1%

(9.2%), Sylvania 1.3% (5.5%), Crosley 2.8% (3.1%), Zenith 3.5% (9.2%), Olympic 1.9%

(unknown), Packard-Bell 0.4% (unknown), Motorola 6.2% (9.5%), Jackson unknown

(unknown), Belmont 2.6% (4.8%), and Tele-Tone 3.3% (unknown). This confirms that larger

producers carried out much more innovation, consistent with Proposition 1.13

13 Variations from this trend might be dependent variable measurement errors due to reporting.

Page 33: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

31

Table 5. Innovation Metrics, for Each U.S. Manufacturer with Reported Innovations in 1948-58 Total during 1948-1958 Per Year Firm Innov. Rank2 Mfg.

Years Innov. Rank2

Philco 38 252 11 3.5 22.9 RCA 31 231 11 2.8 21.0 DuMont(Allen,B.)Laboratories 36 173 11 3.3 15.7 GeneralElectric 26 171 11 2.4 15.5 Admiral 9 117 11 0.8 10.6 Westinghouse 28 117 11 2.5 10.6 CBS-Columbia(initiallyAirKingProducts) 16 83 9 1.8 9.2 EmersonRadioandPhonograph 22 100 11 2.0 9.1 SylvaniaTelevision(ColonialRadioCorp.) 7 82 10 0.7 8.2 Crosley(AvcoManufacturing) 14 68 9 1.6 7.6 ZenithRadio 6 46 11 0.5 4.2 OlympicRadioandTelevision 16 40 11 1.5 3.6 Packard-Bell 6 28 11 0.5 2.5 Motorola 4 26 11 0.4 2.4 JacksonIndustries 1 4 6 0.2 0.7 BelmontRadio(subsidiaryofRaytheon) 2 5 9 0.2 0.6 Tele-ToneRadio 1 1 6 0.2 0.2 Notes: Innov. is number of innovations, Rank2 is sum of squared cost-impact ranks of innovations, and Mfg. Years is years manufacturing televisions, all during 1948-1958. Per Year divides by manufacturing years during this period.

3.4. Cost Reduction of Innovations

The 1950 market share of firms is next related to individual innovations’ impacts on unit

(average) manufacturing cost. Innovation-firm pairs constitute the sample, excluding

innovations solely by firms not manufacturing televisions. For each cost reduction rank, an

instrumental variables probit regression estimated the probability of the cost reduction being at

least that much as a function of log market share. At every cut-point, higher log market share is

estimated to increase the probability of an innovation having a rank at least as high as the cut-

point, as listed in the third through eighth entries of Table 4. The estimated effect of market

share is statistically significant (p<.10) for all but the rank 7 cut-point.

The implied probability distribution of cost reduction ranks, as a function of 1950 market

share, is plotted in Figure 4. The horizontal axis spans the market shares of firms that produced

innovations. Market share greatly increased the probability of highly-ranked innovations.

Page 34: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

32

Figure 4. Estimated probabilites of innovations’ cost-impact ranks, in terms of apparent effect on unit manufacturing cost. Logarithmic horizontal axis shows percentage market share in 1950, for the full range of market shares of firms with innovations (firms with zero market share in 1950 never innovated). Curves show estimated probability that the cost-impact rank is greater than or equal to 2, 3, 4, 5, 6, or 7 respectively, as labeled on the vertical axis. The curves are estimated probabilities from the main estimated equation after instrumental variables probit regressions. The IV probit regressions’ independent estimation ensures that the curves are not mutually constrained. Consistent with Proposition 2, larger firms disproportionately carried out innovations that

yielded greater cost reduction.

3.5. Innovations in Loci that Involve Costly Equipment and Technologies

Loci of television receiver manufacture involving costly equipment and technologies

were identified in two ways, first objectively by how frequently innovations in each loci

involved large equipment, and second subjectively based on knowledge of the activities

involved. The equipment size associated with each innovation was codified based on whether

the innovation was embodied in an object, used actively in manufacturing, that was at least as big

Page 35: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

33

Figure 5. Estimated probability of an innovation occurring in a locus in which modifications are thought to have been especially costly. Logarithmic horizontal axis shows percentage market share in 1950, for the full range of market shares of firms with innovations (firms with zero market share in 1950 never innovated). The curves are estimated probabilities from the main estimated equation after instrumental variables probit regressions. as a typical adult human.14 Loci were considered to involve costly equipment and technologies if

at least 25% of innovations in a locus involved large equipment; results are similar using 40% or

50% cutoffs.15 The measure based on loci frequently having large equipment, rather than

innovations involving large equipment, avoids potential bias from manufacturer scale.

Subjectively, loci of television receiver manufacture involving costly equipment and

technologies were judged to include the main assembly and soldering line especially as new

14 Sizes were volumes usually estimated from photographs. Air space was included if the object

when not in use would preclude other activity in the air space. 15 The 50% cutoff used loci 4, 10, 12, and 13; 40% added locus 1; and 25% added loci 7 and 15.

Page 36: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

34

equipment innovations began to be introduced, printed circuit preparation, and chassis building

and riveting as that involved large press equipment. Other loci tended to involve less costly

equipment and technologies, with the caveat that occasionally more expensive equipment was

introduced later. Cabinet making was classified as less costly, despite that a minority of later

cabinet innovations involved molded cabinets with expensive equipment, because most of the

cabinet manufacturing innovations pertained to wooden cabinets.

Estimates of the effect of 1950 market share on the probability an innovation was in a

locus with costly equipment and technologies appear in the ninth and tenth entries of Table 4.

The estimates imply large and statistically significant increases with firm size, with the

probability increasing from .07 (.0002) to .59 (.61) as share goes from 0.066% to the largest

market share of 17.8% using the first (second) measure. Both estimates are statistically

significant (p<.10). The relationship is plotted in Figure 5. Consistent with Proposition 3, larger

firms disproportionately innovated in parts of the manufacturing process that involved more

costly equipment and technologies.

3.6. Mechanization Innovations

To analyze mechanization innovations, one must be precise about definitions of

mechanization. Many alternative definitions could be given. Several mechanization

characteristics therefore were coded for each innovation. These characteristics are assessed in

Table 6, which shows the percentage of innovations that satisfy each definition.

Tool used is a primitive definition. This indicates whether the innovation involved an

object (the tool) used in physical contact with or directly operating on a television receiver being

made, a component, another tool, or a shipping container. This excludes lights, signs, examples

for assembly workers, plant models, etc. Tools were the norm, involved in 90.1% of innovations

across all years. Many of the tools involved brief processes, such as a nail gun inserting a nail,

and hand-held processes, such as a hand-controlled soldering iron. Since tools are readily

available off-the-shelf at low cost, unlike the other measures of mechanization, they were not

expected to be correlated with high innovation cost and hence were not necessarily expected to

have a relation to firm size.

Automation indicates whether an object embodying the innovation operated actively, in

the manufacturing process, without direct human control for a period of at least multiple seconds.

Page 37: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

35

Automation was less frequent than tools. Only 33.3% of innovations involved a process that,

when initiated, continued for seconds or longer without human control.

Another view of mechanization is that it amplifies the manufacturing process by doing a

lot at once. Multiple operation indicates whether the innovation combined or facilitated multiple

steps or performed multiple of the same step, thus carrying out in one innovation a multiplicity

of manufacturing activities that were once independent. Multiple operation arose in 29.0% of

innovations.

Complex is an alternate form of multiple operation that combines previously separate

activities in one machine or activity. For example, pin-making machines combined steps of

manufacture whose division Adam Smith had famously pointed out (Pratten 1980). Complex

therefore is defined analogously to multiple operation, except that the multiple steps must span

different manufacturing activities. Complex operation occurred in 7.6% of innovations.

In some cases, multiple operations or complexity pertained to innovations in how

operators used equipment, or in conveyors, movers, or other positioning devices (CMPD). To

assess multiple operation and complexity in productive machines, the lines in Table 6 denoted

machine excl. CMPD require that multiple operation or complexity be embodied in a single

machine, and exclude from analysis all innovations embodied in movers, conveyors, jigs,

holders, and furniture. This leaves (almost entirely) equipment involved in actual work

operations, for which in-machine multiple operation was involved in 34.0% and in-machine

complexity in 8.9% of innovations.

Over time, as production methods became increasingly mechanized, shifts occurred in the

extent to which innovations fit some definitions of mechanization. Each definition’s percentages

in 1947-1950, 1951-1954, 1955-1958, and 1959-1971 are shown in Table 6. The benchmark of a

constant probability of each innovation fitting a definition was tested with Fisher’s exact tests,

and the resulting p-values are in the rightmost column of Table 6. All definitions except tool

used had statistically significant (p<.10) shifts in probability. Innovations involving automation

rose, although less than might be expected, from 30% in 1947-1950 and 27% in 1951-1954 to

38% in 1955-1958. Innovations in machines that carried out multiple activities became more

common in later time periods, rising from 18% in 1947-1950 to 29% in 1951-1958. Complex

equipment innovations, which combined steps once performed separately, constituted 11% of

innovations in the first period but only 3% and 7% in the next two periods. In 1959-1971, the

Page 38: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

36

Table 6. Mechanization Innovations (%), for Alternative Metrics of Mechanization Metric All Years 1947-50 1951-54 1955-58 1959-71 p-value Tool used 90.1 89.5 94.3 87.2 80.0 0.110 Automation 33.3 29.8 27.0 37.6 66.7 0.015 Multiple operation 29.0 17.5 28.7 30.3 66.7 0.004 machine excl. CMPD 34.0 18.8 28.9 42.9 61.5 0.013 Complex 7.6 10.5 3.3 7.3 33.3 0.002 machine excl. CMPD 8.9 9.4 2.4 11.1 38.5 0.001 N Observations 303 57 122 109 15 Notes: The notation machine indicates the mechanization measure was 1 only if multiplicity or complexity occurred within one machine. The notation excl. CMPD indicates that innovations were excluded from analysis if they pertained to conveyors, movers, or positioning devices (fixtures, jigs, holders, and furniture), leaving a sample of 191 instead of the usual 303 innovations. The p-valueusesFisher’sexacttestof the null hypothesis that the probability of satisfying a metric is constant across time periods. Gray shading for 1959-1971 indicates limited data availability. increase in the percentage for automation, relative to earlier periods combined, was statistically

significant at p=.0090, and the increases in multiple operation and complexity were significant

at p=.0022 and .0029 respectively. Thus although the evidence partially supports the idea that

mechanization innovations became more common over time, the increase was not universal and

was often modest, confirming that process innovation by these mechanization measures mattered

even during early years when the product was manufactured.

With this background in mind, consider the effects of market share on the probability of

an innovation being related to mechanization. Table 4 reports, in the top six entries of its second

column, instrumental variables probit regressions of the probability of an innovation involving

mechanization as a function of log market share. Statistically significant (p<.10) effects of log

market share are found for all of these definitions of mechanization except tool use. Thus,

greater market share substantially increased the probability of an innovation pertaining to

automation or multiple operation, as anticipated in Proposition 4. The exception of tool use was

expected, because unlike the other measures of mechanization, the low expense of hand tools

such as soldering irons or screwdrivers makes tools no deterrent to low-cost innovation,

requiring little effort on the part of innovators.

The implied probabilities of mechanization as a function of market share in 1950 are

shown in Figure 6. As in prior figures, the horizontal axis just spans the range of market shares

of firms that produced innovations. The figure shows a greatly increased probability of

Page 39: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

37

Figure 6. Estimated probability of an innovation involving mechanization, for alternative definitions of mechanization. Logarithmic horizontal axis shows percentage market share in 1950, for the full range of market shares of firms with innovations (firms with zero market share in 1950 never innovated). The curves are estimated probabilities from the main estimated equation after instrumental variables probit regressions. mechanization innovations, consistent with Proposition 4, as the market shares increased from

the lowest to highest values observed in the sample.

3.7. Participation in Major Trajectories with New Innovation Approaches

A major technological trajectory that affected television manufacture in the 1950s was

use of printed circuit boards. Printed circuit boards replaced prior use of wires between

components. They brought radical change, as the first television manufacture focused article on

the technology emphasizes:

“Research in new construction for TV equipment faces strong conflict with existing

methods which have established themselves in practice through gradual evolution.

Materials, design practice, and methodology are so intertwined that significant changes

Page 40: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

38

Figure 7. Estimated probability of an innovation involving printed circuit board use in television manufacturing. Logarithmic horizontal axis shows percentage market share in 1950, for the full range of market shares of firms with innovations (firms with zero market share in 1950 never innovated). The curve shows estimated probabilities from the main estimated equation after instrumental variables probit regression.

introduced into chassis structure must necessarily be done with exacting consideration for

the assembly line, purchased materials, and above all the net effect upon costs.

Nevertheless, circumstances are pressing for the development of circuit printing methods

suitable for TV.” (Hannahs and Stein 1952, 38)

Printed circuit boards promised potential labor and material savings, and firms began to use the

boards for an increasing fraction of television electronics. Firms developed, bought, and

modified machines to automatically insert components into circuit boards. At intermediate

stages, some components had to be inserted by hand. Coils, previously separate components,

could soon be printed on the boards themselves. Innovations also included methods to create

circuit boards, prepare components for automatic insertion, flux and dip solder multiple

Page 41: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

39

components simultaneously after insertion, convey and handle boards and parts, and test circuitry

and align electronic frequencies with components on boards.

All innovations were coded according to whether they related to production with printed

circuit boards. Of the 303 innovations, 55 were related to printed circuit boards. The 55

innovations had a mean rank of 2.96, higher than the mean rank of other innovations by 0.81

(with a robust standard error of 0.19). Printed circuit board innovations arose at just the right

time to contribute to the acceleration of cost reduction apparent in Figure 1 beginning in 1953.

An instrumental variables probit estimate, in the third-to-last entry of Table 4, analyzes

the probability of an innovation being related to printed circuit boards, as a function of log 1950

market share. Estimation uses innovations in all years (using only innovations in 1952 and later

yields stronger estimated effects). The estimates imply probabilities that randomly selected

innovations involved printed circuit board use. The estimates are plotted in Figure 7. Printed

circuit board use probability was 4.2×10−8 for innovating firms with 1950 market share of

0.066%, but 0.57 with a market share of 17.8%. Below 1.4% share, the probability was less than

0.01. Consistent with Proposition 5, larger firms were more likely to innovate within this major

trajectory of change, printed circuit boards and their use to facilitate automated assembly and

soldering.

3.8. Process Innovation and Future Market Share and Survival

Innovation by television manufacturers, prior work has demonstrated, was associated

with greater future market share and longer survival in television manufacture (Klepper and

Simons 2000a, 2005). Analogous estimates are reported here, using the same survival and

market share data described in Klepper and Simons (2000a), but now with updated innovations

data and with instrumental variables methods. In an analysis of exit during 1950-1960, the

independent variable is a process innovation indicator equal to 1 in year t if the firm achieved a

process innovation within the preceding five years, 0 otherwise. In 1960-1970, and for analysis

of market share in 1960 and 1970, the number of process innovations per year during 1948-1958

is the independent variable.

The estimates in Table 7 are consistent with strongly reduced rates of exit, and strongly

enhanced market shares, for firms that achieved process innovations. Firms that innovated

within the previous five years are estimated during 1950-1960 to have had an annual probability

Page 42: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

40

Table 7. Exit and Market Share of More and Less Innovative Firms Exit (IV Probit) Log Market Share (GMM) 1950-1960 1960-1970 In 1960

black-and-white In 1970

color Innovation in -2.023*** preceding 5 years (0.365)

Innovations per year, -0.554+ 1.325*** 1.076** 1948-58 (0.322) (0.244) (0.391)

Constant -0.761*** -1.278*** -0.823*** -0.550 (0.143) (0.150) (0.0214) (0.364) Log likelihood -486.2 -386.8 Instr. exog. test p 0.165 0.298 Ln(MS 1950) exog. p 0.000678 0.223 0.139 0.0602 N Firms 138 38 38 16 N Observations 784 306 38 16 Notes: Standard errors (in parentheses) and significance levels are reported for all coefficient estimates. Analyses treat Ln(Market Share in 1950) as endogenous, and use as instruments: year of entry into radio manufacture – 1910 (or mean thereof if entry did not occur by 1940) and no entry into radio manufacture by 1940 (1 if true or 0 otherwise). GMM uses asymptotic efficient (under heteroskedasticity) weight matrices. Robust standard errors clustered by firm are in parentheses. N Firms and N Observations are the numbers of firms and observations, respectively, in each model. + p<.10, * p<.05, ** p<.01, *** p<.001. of exit of 0.003, relative to an annual exit probability of 0.223 for non-innovators, in the years

from the start of 1948 through the start of 1960. Among firms that survived to 1960, firms that

averaged one innovation per year during 1948-1958 had an estimated .033 annual probability of

exit during 1960-1970, relative to an annual probability of exit of 0.235 for firms that had not

innovated. An additional one innovation per year on average during 1948-1958 was associated

with an estimated 3.8 times higher market share of black-and-white television output in 1960,

and 2.9 times higher market share of color television output in 1970, among surviving

manufacturers. These are sizeable, and statistically significant, benefits associated with process

innovation.

More detailed analyses reveal that product and process innovation combined have

important impacts on survival and market share. The impacts are not explained by marketing.

Available data are not sufficient to disentangle the effects of product versus process innovation.

Page 43: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

41

Table 8. Scope: General-Purpose and Non-Specialized Innovations (%), by Period Metric All Years 1947-50 1951-54 1955-58 1959-71 p-value General purpose 91.7 91.2 91.0 91.7 100.0 0.876 Non-specialized 71.6 64.9 73.0 72.5 80.0 0.624 N Observations 303 57 122 109 15 Note: The p-value uses Fisher’s exact test of the null hypothesis that the probability of satisfying a metric is constant across time periods. Gray shading for 1959-1971 indicates limited data availability.

3.9. Innovation Scope for Mass Manufacturing in Electronics

While television was the outstanding consumer electronics product of the 1950s and

1960s, companies also made other electronics products for consumers, industry, and government.

Did the innovations in televisions pertain to these other products by providing some kind of

scope advantages? To assess this question, two metrics of scope were assessed for each

innovation, with results shown in Table 8. General purpose indicates whether the innovation

yielded a technique widely applicable to electronics products other than televisions. The great

majority, 92%, of innovations were of general purpose and therefore contributed to the firm’s

build-up of general electronics manufacturing capabilities. Non-specialized indicates whether

the innovative technique did not need to be specialized to this particular application.

Specialization to television manufacturing required work that went beyond methods useful

outside television manufacture. Even if an innovation created general electronics capabilities, it

still might need tailoring to a television application; for example, a paper cover designed to slide

over a printed circuit board before dip-soldering had to be pre-cut with holes for components and

for the regions where the solder was to go. A sizeable fraction, 28%, of innovations required

specialization to the specific application, so that 72% were non-specialized. Differences over

time, although reported in Table 8, are not statistically significant.

The enormous 92% of innovations that seem to have been relevant to other areas of

electronics manufacture suggests that scope economies could become very beneficial to

television manufacturers. In some cases, innovations might have drawn from know-how of

engineers who carried out work on other electronic products. Indeed, early articles commented

that engineers’ know-how from radio receiver manufacture, although it was much simpler, was

valuable in designing initial plant layouts and production processes for television receiver

manufacture. After this stage, however, it seems likely that the burgeoning television receiver

Page 44: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

42

market was a primary impetus for development of methods that spread to other electronics

production processes, since television production was in the 1950s a large portion of overall

electronics production. Hence, it appears that economies of scope not in production itself, but in

the applicability of television receiver production engineering, may have been important.

No difference between larger and smaller firms was necessarily anticipated for scope and

specialization measures, since there is no obvious connection between quality of an innovation

and the extent to which it overlaps with other areas of electronics manufacture or requires

customization for television receiver manufacture. Consistent with this lack of expectation, there

is no statistically significant relationship between log market share and how often a firm carried

out general purpose innovations, or specialized its innovations to match specific television

receiver characteristics. As shown in the last two entries of Table 4, the estimated effects of

1950 market share for both metrics are statistically insignificant. Thus firm size had no

statistically detectable effect on innovations’ scope of applicability or specific arrangements to

accommodate the exact product being manufactured. The limited estimated effect in these cases

is reassuring, in that the model predicts characteristics related to firm size for exactly those

characteristics with reasons to be correlated with innovation cost, but not for innovation scope

which does not appear to have a strong reason for a correlation.

Overall, the evidence suggests that television process innovation may have conveyed a

substantial advantage for future mass manufacture of other electronic products, and that this

advantage accrued very roughly equally to innovators of all sizes on a per-innovation basis.

4. Conclusions

Process innovation for U.S. television receivers drove major cost reductions, with larger

firms carrying out more rapid and cost-reducing innovation that brought a shift to more capital-

intensive production and advanced a new technological trajectory using printed circuits. These

findings conform to a model of firms’ incentive to pursue individual innovation opportunities, in

which leading firms expect to produce more in future and therefore choose to innovate more

intensively. The model extends the theoretical idea of R&D cost-spreading, to show that not

only the rate but also the nature and direction of innovative progress must be affected by firm

size. Indeed, larger television manufacturers disproportionately pursued innovation in expensive

parts of plants where smaller manufacturers frequently avoided innovating. They made bigger

jumps more often, through projects that must typically have been more expensive. They

Page 45: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

43

automated more, and they more often pursued a new trajectory of printed circuit board and

automated insertion innovations.

By pursuing higher-cost innovations, as well as the lower cost innovations developed in

near duplicate form at smaller firms, larger firms moved faster down the (misleadingly-named)

learning curve of progressive cost reduction. By carrying out difficult as well as easy

innovations, manufacturers refined their manufacturing processes to a greater degree, achieving

much lower unit production costs. The competition to reduce costs among many television

manufacturers helped drive prices down, and meant that strong innovators were relatively

profitable and survived while other firms became unprofitable and exited.

Manufacturers developed (at least) hundreds of innovations across diverse parts of the

manufacturing process. The great number of process innovations swamped any single

innovation in apparent importance, although innovations varied widely in their potential for cost

reductions. Some innovations were necessary to allow new product characteristics, with some

incremental product improvements (e.g., set reliability and new cabinet types) effectuated by

process change just as Pisano (1997) points to new product introductions effectuated by process

development. Very minor innovations were much greater in number than major innovations, and

use of a “transilience” or impact score similar to one used by Abernathy, Clark, and Kantrow

(1983) suggests that relatively minor innovations are likely to have swamped major innovations

in total importance. Despite some observed shifts in the locus of manufacturing innovation, and

an ongoing increase in mechanization innovations, all parts of the manufacturing process

continued to receive attention and improvement over time.

Supplier firms, although they created some machinery and component innovations widely

used in the industry, did little to displace the enormous amount of innovation that needed to be

carried out within individual television receiver manufacturers. The limited role of supplier

innovation presumably resulted from the impossibility of maintaining rights to and selling most

types of incremental innovations that affected manufacturers’ television receiver production

processes, as well as from the differing needs of individual firms for different types of process

innovations in the context of their particular equipment, production lines, and models.

The scope of television receiver manufacturing innovations was quite broad, in that most

innovations could also be applied to other types of mass electronics manufacturing. This made

television receiver manufacturing a valuable mode of entry into consumer electronics

Page 46: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

44

manufacturing in general. Unfortunately for the U.S. manufacturers studied here, however, U.S.

firms were not the only businesses active in this segment. Japanese and other international

competition intensified in the 1970s and 1980s, until all of the original U.S. manufacturers either

exited or were acquired by their international competitors. While U.S. firms had been leaders in

applying the new technology of printed circuit boards to television manufacturing, developing

new production techniques that capitalized on printed circuitry, Japanese firms were faster to use

and pursued more intensively a new technological trajectory of integration in the form of

integrated circuits (Wooster 1986).16 U.S. businesses thereby lost control of the entire consumer

electronics sector, an economically important and profitable sector with close ties to other

electronic industries deemed important to national security, and the loss of this sector is long felt

(Chandler 2001). Attention to the principles of continual process innovation might help nations

which once were industrial leaders to become, if not industrial leaders again, at least substantial

producers of important industrial goods.

It remains to be confirmed whether the process innovation patterns of television receiver

manufacturing apply widely in other manufacturing industries, and persist over much of the

industry life cycle. Historical and trade studies suggest that manufacturing process innovation

typically fits the assumptions used here. In chemical manufacture of rayon, for example,

Hollander’s (1965) analysis of DuPont provides explicit evidence that minor technical changes

exceeded major changes in their aggregate cost reduction, improvements occurred rather steadily

across loci of the manufacturing process, and improvements went on throughout the period of his

data. How widely the marginal cost of innovations drives the direction and nature of cost

reduction, however, deserves analysis in additional industries.

This paper has addressed one part, a central part, of the issues of automation and cost

reduction considered so urgent today. By understanding how innovation cost incentives drive

the nature and direction of unit production cost reduction, hopefully researchers may better

understand why and how automation and other forms of process innovation occur and impact

16 The potential for integrated circuits was not obvious to U.S. manufacturers, which fell behind

in exploiting them. An example is RCA’s 1971 plant to manufacture thick-film ceramic circuit

modules. After spending over $5 million to build the plant, RCA scuttled it because advances in

integrated circuits made the ceramic circuits obsolete (Wooster 1986, pp. 74-75).

Page 47: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

45

firms and their workers. These issues are at the core of the efficiency benefits and labor shifts

that result from firm innovation.

References

Abernathy, William J., Kim B. Clark, and Alan M. Kantrow. 1983. Industrial Renaissance:

Producing a Competitive Future for America. New York: Basic Books.

Arnold, Erik. 1985. Competition and Technological Change in the Television Industry: An

Empirical Evaluation of Theories of the Firm. London: Macmillan Press.

Barron's. 1950. "Fund Managers Name TV Output Leaders." Barron's National Business and

Financial Weekly 30 (15 (April 10)):17.

Besanko, David, Ulrich Doraszelski, and Yaroslav Kryukov. 2014. "The Economics of

Predation: What Drives Pricing When There Is Learning-by-Doing?" American Economic

Review 104 (3):868-97.

Boedecker, Karl A. 1974. "The Impact of Advertising Themes on Brand Choice of Color

Television Sets: An Exploratory Survey of the Lansing Major Metropolitan Market." Ph.D.

dissertation, Michigan State University.

Boston Consulting Group. 1972. Perspectives on Experience. 3rd printing ed. Boston: Boston

Consulting Group.

Carbonara, Corey P. 1989. "A Historical Perspective of Management, Technology and

Innovation in the American Television Industry." Ph.D. dissertation, University of Texas at

Austin.

Chandler, Alfred D., Jr. 2001. Inventing the Electronic Century: The Epic Story of the Consumer

Electronics and Computer Industries. New York: Free Press.

Cohen, Wesley M. 2010. "Fifty Years of Empirical Studies of Innovative Activity and

Performance." In Handbook of the Economics of Innovation, volume 1, edited by Bronwyn

Hall and Nathan Rosenberg, 129-213. Amsterdam: Elsevier.

Cohen, Wesley M., and Steven Klepper. 1996a. "Firm Size and the Nature of Innovation within

Industries: The Case of Process and Product R&D." Review of Economics and Statistics 78

(2):232-243.

Cohen, Wesley M., and Steven Klepper. 1996b. "A Reprise of Size and R & D." The Economic

Journal 106 (437):925-951.

Page 48: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

46

Cohen, Wesley M., Richard R. Nelson, and John P. Walsh. 2003. "Protecting Their Intellectual

Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (Or Not)."

NBER Working Paper 7552.

Dasgupta, Partha, and Joseph Stiglitz. 1980. "Industrial Structure and the Nature of Innovative

Activity." Economic Journal 90 (358):266-293.

Datta, Yudhishter. 1971. "Corporate Strategy and Performance of Firms in the U.S. Television

Set Industry." Ph.D. dissertation, State University of New York at Buffalo.

Dosi, Giovanni, and Richard R. Nelson. 2010. "Technical Change and Industrial Dynamics as

Evolutionary Processes." In Handbook of the Economics of Innovation, volume 1, edited by

Bronwyn Hall and Nathan Rosenberg, 51-127. Amsterdam: Elsevier.

Fortune. 1935. "1,250,000 out of 4,200,000 U.S. Radios." Fortune 11 (2):74-79 and 164-173.

Furman, Jeffrey L., and Florenta Teodoridis. 2017. The Cost of Research Tools and the Direction

of Innovation: Evidence from Computer Science and Electrical Engineering. In manuscript.

Gort, Michael, and Steven Klepper. 1982. "Time Paths in the Diffusion of Product Innovations."

The Economic Journal 92 (367):630-653.

Hall, Bronwyn H., and Rosemarie Ham Ziedonis. 2001. "The Patent Paradox Revisited: An

Empirical Study of Patenting in the U.S. Semiconductor Industry, 1979-1995." The RAND

Journal of Economics 32 (1):101-128.

Hannahs, W. H., and N. Stein. 1952. "Printed Unit Assemblies for TV." Tele-Tech 11 (6):38-40

and 112-120.

Hatch, Nile W., and David C. Mowery. 1998. "Process Innovation and Learning by Doing in

Semiconductor Manufacturing." Management Science 44 (11):1461-1477.

Hendel, Igal, and Yossi Spiegel. 2014. "Small Steps for Workers, a Giant Leap for Productivity."

American Economic Journal: Applied Economics 6 (1):73-90.

Hollander, Samuel. 1965. The Sources of Increased Efficiency: A Study of DuPont Rayon Plants.

Cambridge, Mass.: MIT Press.

Klepper, Steven. 1996. "Entry, Exit, Growth, and Innovation over the Product Life Cycle." The

American Economic Review 86 (3):562-583.

Klepper, Steven, and Elizabeth Graddy. 1990. "The Evolution of New Industries and the

Determinants of Market Structure." The RAND Journal of Economics 21 (1):27-44.

Page 49: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

47

Klepper, Steven, and Kenneth L. Simons. 1997. "Technological Extinctions of Industrial Firms:

An Inquiry into their Nature and Causes." Industrial and Corporate Change 6 (2):379-460.

Klepper, Steven, and Kenneth L. Simons. 2000a. "Dominance by Birthright: Entry of Prior

Radio Producers and Competitive Ramifications in the US Television Receiver Industry."

Strategic Management Journal 21 (10-11):997-1016.

Klepper, Steven, and Kenneth L. Simons. 2000b. "The Making of an Oligopoly: Firm Survival

and Technological Change in the Evolution of the U.S. Tire Industry." Journal of Political

Economy 108 (4):728-760.

Klepper, Steven, and Kenneth L. Simons. 2005. "Industry Shakeouts and Technological

Change." International Journal of Industrial Organization 23 (1-2):23-43.

Levin, Richard C., Alvin K. Klevorick, Richard R. Nelson, and Sidney G. Winter. 1987.

"Appropriating the Returns from Industrial Research and Development." Brookings Papers on

Economic Activity 1987 (3):783-820.

Levin, Richard C., and Peter C. Reiss. 1988. "Cost-Reducing and Demand-Creating R&D with

Spillovers." The RAND Journal of Economics 19 (4):538-556.

Levitt, Steven D., John A. List, and Chad Syverson. 2013. "Toward an Understanding of

Learning by Doing: Evidence from an Automobile Assembly Plant." Journal of Political

Economy 121 (4):643-681.

Lucas, Robert E. 1993. "Making a Miracle." Econometrica 61 (2):251-272.

MacLaurin, W. Rupert. 1949. Invention and Innovation in the Radio Industry. New York:

MacMillan.

Miller, Stanley S., and David C. D. Rogers. 1964. Manufacturing Policy: A Casebook of Major

Production Problems in Six Selected Industries. Homewood, Ill.: R. D. Irwin.

Moser, Petra. 2013. "Patents and Innovation: Evidence from Economic History." Journal of

Economic Perspectives 27 (1):23-44.

National Bureau of Economic Research. 1962. The Rate and Direction of Inventive Activity:

Economic and Social Factors. Princeton, N.J.: Princeton University Press.

Pisano, Gary P. 1997. The Development Factory: Unlocking the Potential of Process Innovation.

Boston: Harvard Business School Press.

Pratten, Clifford F. 1980. "The Manufacture of Pins." Journal of Economic Literature 18 (1):93-

96.

Page 50: Innovation Cost and the Nature and Direction of Learning: …homepages.rpi.edu/~simonk/pdf/costreduction.pdf · 2019-03-29 · Innovation Cost and the Nature and Direction of Learning:

48

Sahal, Devendra. 1981. Patterns of Technological Innovation. Reading, Mass.: Addison-Wesley.

Schmookler, Jacob. 1966. Invention and Economic Growth. Cambridge, Mass.: Harvard

University Press.

Scott, Peter, and Nicolas Ziebarth. 2015. "The Determinants of Plant Survival in the U.S. Radio

Equipment Industry During the Great Depression." The Journal of Economic History 75

(4):1097-1127.

Sinclair, Gavin, Steven Klepper, and Wesley Cohen. 2000. "What's Experience Got to Do With

It? Sources of Cost Reduction in a Large Specialty Chemicals Producer." Management

Science 46 (1):28-45.

Tele-Tech. 1948. "Television Engineering and Manufacturing at Philco." Tele-Tech 7 (11):61-

94.

Thompson, Peter. 2001. "How Much Did the Liberty Shipbuilders Learn? New Evidence for an

Old Case Study." Journal of Political Economy 109 (1):103.

Thompson, Peter. 2012. "The Relationship between Unit Cost and Cumulative Quantity and the

Evidence for Organizational Learning-by-Doing." Journal of Economic Perspectives 26

(3):203-24.

Wooster, James Howard. 1986. "Industrial Policy and International Competitiveness: A Case

Study of U.S. - Japanese Competition in the Television Receiver Manufacturing Industry."

Ph.D. dissertation, University of Massachusetts.

Zeluff, Vin. 1947. "Television Production Line." Electronics 20 (10):132-134.


Recommended