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The rise of the information & service economy
The information and service economySeptember 5 2007
Bob Glushko and Anno Saxenian
Outline
1. Paradigms of economic change2. The manufacturing economy3. The co-evolution of technology &
institutions4. From niches to riches: the long tail
Paradigms of economic change
Mainstream economics (physics) Perfect competition in free market Price as key differentiator Incremental change, equilibration
Schumpeterian model (evolution) Entrepreneurship drives change Innovation in search of monopoly rents Continuous gale of creative destruction
Kondratiev waves
45-60 year cycles of global economic growth
4 periods: prosperity, recession, depression, improvement
Schumpeterian long waves
Innovation-driven growth: cyclical co-evolution of technology, business models, institutions
1. The industrial revolution, 17712. Age of steam and railways, 18293. Age of steel, electrical & heavy engineering, 18754. Age of oil, automobile & mass production, 19085. Age of information & telecommunications, 1971
Variations in patterns of investment, geography, etc
The age of oil, autos & mass prodn
General Motors earned as much in profits as 10 biggest cos. from France, UK, Germany combined (30 cos. total)
All but two of the world’s largest companies based in US
US cos. produced 50% of world output; this amounted to more than the next 9 industrial nations combined
Oligopoly industry structure: The “big three” auto companies; the oil giants, consumer electronics, food, rubber, tobacco
Mass production and consumption; Big labor (UAW); etc.
Mass production as blind destiny
The size of General Motors is in the service not of monopoly or the economies of scale but planning…and (thanks to) this planning—control of supply, control of demands, provision of capital, minimization of risk—there is no clear limit to the desirable size (of the company.)
John Kenneth Galbraith The New Industrial State (1957)
Economy is driven by large-scale hierarchical and vertically integrated firms that produce standardized products for mass markets
The age of information & telecom
How are technological capabilities: Effectively free bandwidth, memory Close to unlimited computing power InternetCo-evolving with new business models?
From hierarchy to networks
Market: spontaneous coordination of self-interested individuals and firms via prices, invisible hand
v.Hierarchy: administrative coordination with visible
hand of management, authority, internal transactions
Networks: organization pattern typified by reciprocal patterns of communication and collaboration, high degrees of information exchange, interdependence
Value chains not firms
Vertical specialization of production, intense inter- firm exchanges of information & collaboration provide flexibility, innovative capacity
Competition is now between entire value chains rather than individual firms.
Restructuring information collection, aggregation, and redistribution in firm, ecosystem
Shift from linear information supply chains to marketplace or hubs; virtual enterprises connect bus processes from multiple firms electronically
Information as a good
Information about goods becomes a good.e.g. bar codes, RFID tags, etc.
As information about location and movement of goods is increasingly available, the boundary between physical and virtual worlds blurs:Inventory and information are equivalent.
New services from aggregation of information about business transactions.
New models of info distribution
Old model of sales in bricks and mortar locationsNew business models exploit intangibility of
information goods; highly disruptiveDirect sales of information goods that can be delivered digitally: music, books, news, movies, software
Peer-to-peer exchange of information goods, services
Other new patterns for creation and distribution:1. Open access, scholarly publishing2. “Software as a service”
Demand or event-driven models
Old model: Forecast customer demand based on past trends, data and then produce and sell
Now use regular and up-to-date information on actual demand and events to drive production
Make-to-order (mass customization)Constrained set of possibilities given modularity, inventory, manufacturing, etc.
Make-to-stock (mass productionn) Engineer-to-order (customization) But, privacy concerns . . .
Loose coupling & rise of standards
Old model: proprietary standards and silosOpen and heterogeneous technological
environment of internet makes business more receptive to standard, non-proprietary models
Loosely-coupled internet architecture with standards allows flexible document exchange and network effects : e.g. use XML documents to define interfaces allows
transparent scalability of business process automation (browser-based tasks become application mediated ones)
Rise of reusable components
Organization, process, architecture, information models being composed from smaller, more common building blocks, providing more reusable, flexible, robust results
Componentization and reuse: agreements on information, context easier to describe and implement using common components
Service-oriented architecture (SOA) derives business models from components defined using web-services: “plug and play” business
From niches to riches
The internet allows companies to produce and sell a far wider range of products than ever before. This profoundly changes both consumer behavior and business strategy.
Amazon’s above rank 100,000 sales
Top 100,000 most popular books
Less popular, not found in bricks & mortar stores (30-40% of sales)
Anatomy of the long tail: supply
Supply side effects (producers, retailers)First order:
Cost: virtual shelf space, made to order production, electronic delivery
Benefit: aggregation of consumers
Second order: Incentives to develop new products increase Restructuring of marketing strategies New intermediaries and industry structures
Anatomy of long tail: demandDemand-side effects (consumers)First order:
Active: Powerful search tools, sampling tools Passive: Recommendation systems, advisers,
dynamic web-based storefronts Combination: Customer reviews, online communities
Second order: Changing consumer tastes and demand patterns due
to exposure to new products Positive feedback within niches from consumer
advisory tools and their users Cultural changes from access to more varied sources
of information