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1 Framing Change: A Comparative Case Study of IT-enabled Organizational Change Santi Furnari Cass Business School 106 Bunhill Row London EC1Y 8TZ, UK. [email protected] Phone: +44 020 7040 5132
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Framing Change:

A Comparative Case Study

of IT-enabled Organizational Change

Santi Furnari

Cass Business School

106 Bunhill Row

London EC1Y 8TZ, UK.

[email protected]

Phone: +44 020 7040 5132

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Structuring Frames for Change:

A Comparative Case Study

of IT-enabled Organizational Change

Abstract

This paper examines how two organizations used information technologies (IT) to introduce

the same type of IT-enabled organizational change with radically different outcomes.

Building on a grounded theory comparative analysis of the two cases, the paper develops a

process model of IT-enabled organizational change centered on the interaction of two factors:

1) the templates (i.e. cognitive frames) used by the organizational change‟s key players to

interpret the strategy, implementation, and nature of the change; 2) the environmental and

organizational context in which the change occurs. The organizational context and the

relative number of issues contained in a cognitive frame (i.e. frame breadth) are found to

jointly influence the evolution of actors‟ cognitive frames during the process of change,

thereby shaping change outcomes. Narrow frames are found to hinder change in highly

formalized organizations, whereas broad frames facilitate change in less formalized

organizations.

Keywords: organizational change; information technology; cognition; cognitive frame;

distributed work.

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1. Introduction

Over the last decades, businesses worldwide have embraced information technologies

(IT) as a source of increased efficiency and productivity. Yet, the literature on IT adoption is

replete with stories of unfulfilled potential (e.g. Davenport and Stoddard, 1994; Davidson,

2002; Robey and Sahay, 1996; Zuboff, 1988). This is often the case when managers

explicitly plan to change a firm‟s organizational structure and processes via the introduction

of information technologies, what is often called “IT-enabled organizational change” (e.g.

Robey and Sahay, 1996). In these cases, limited IT use and organizational resistance often

hinder the realization of the beneficial outcomes expected from IT adoption (Markus, 2004;

Orlikowski, 2000), although radical organizational changes can also be successfully achieved

(Orlikowski, 1993). These mixed findings continue to attract the attention of scholars and

practitioners on the factors explaining the success of IT-related organizational change.

Socio-cognitive research has long demonstrated that individual and group cognitive

frames influence the outcomes of organizational change (Bartunek, 1984; Bartunek and

Moch, 1987; Fiol, 1994), the implementation and evolution of technologies (Acha, 2004;

Kaplan and Tripsas, 2008; Orlikowski and Gash, 1994), and how companies adapt to

environmental changes (Kaplan, 2008; Kiesler and Sproull, 1982). Cognitive frames are the

templates that organizational members use to organize their interpretations of events and

organizational phenomena (Weick, 1979). They serve as the means by which actors make

sense of the ambiguities and uncertainties inherent in any change (Kiesler and Sproull, 1982).

Actors‟ actions and reactions around change are influenced by how they notice and interpret

change via their cognitive frames (Daft and Weick, 1984). Consequently, aligning people‟s

cognitive frames around a change initiative is essential for the successful implementation of

change and innovation within organizations.

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If the key role of cognitive frames for change and innovation is not disputable, the

approach through which frames have been predominantly analyzed in the literature is

characterized by two important gaps, which are tackled in this paper.

First, most socio-cognitive studies analyze cognitive frames from a static perspective,

providing “point-in-time snapshots” of frames (Davidson, 2006), without taking into account

the temporality of framing as an ongoing interpretive process unfolding over the different

phases of a change program. A more dynamic perspective is consistent with Orlikowski and

Gash (1994)‟s claim that “frames are flexible in structure and content, having variable

dimensions that shift in salience and content by context and over time” (ibidem, p. 176). For

example, a few studies have provided evidence that the breadth of a frame and the level of

optimal “cognitive diversity” featured in groups‟ frames vary across the phases of a decision-

making process (Kilduff et al., 2000; Walsh et al., 1988). More recently, Kaplan (2008) has

introduced a dynamic model of framing, in which political interests and framing practices

interact to determine which frames comes to predominate over others, thereby influencing the

direction of strategic decision-making. Despite the contribution of these studies, more

comparative studies are needed to systematically understand how processes of framing can be

contingent on factors such as the phases of an IT-related organizational change program

(Davidson, 2006), organizational structure, or larger contextual issues (Creed et al., 2002;

Kaplan 2008). The important practical implication of filling this gap is that, by better

understanding how framing processes evolve in planned change initiatives, managers can

learn how to guide and time these interpretative processes, and the organization members‟

actions resulting from them, so to improve the actual outcomes of the change.

Relatedly, a second important gap in the literature is that cognitive frames have been

analyzed in isolation without explicitly taking into account the organizational context in

which frames are produced and concretely used and in which a change initiative is unfolding.

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This is particularly important in relation to formal organizational structure, which has proven

to be a crucial factor influencing managerial cognition (Davidson, 2002; Krackhardt, 1990;

Lin and Silva, 2005; McGovern and Hicks, 2004; Newman and Sabherwal,1996). Indeed, we

know that actors‟ interpretations of organizational situations are deeply intertwined with

power and political action (Kaplan, 2008; Weick et al., 2005) and that actors‟ position in the

formal structure of an organization is one important source of power and legitimacy (e.g.

Pfeffer, 1981). However, despite repeated calls to focus attention on the contextual and

situated nature of cognition in organizations (Elsbach et al., 2005; Lant, 2002), we face the

paradox that precise relationships between specific features of an organizational context and

framing process have yet to be identified.

This paper responds to these calls for more dynamic analysis of cognitive frames in

context, by shifting the attention from frames as static and objectified “entities” to framing as

a dynamic and situated process, that is, the process through which individuals shape, maintain

and change their cognitive frames in situation. Thus, the research question addressed in this

paper is: how do the framing processes enacted by the individuals and groups involved in an

IT-enabled organizational change influence the effectiveness of change?

This paper contributes to an emerging dynamic and situated perspective on cognitive

framing (e.g. Kaplan, 2008) by taking simultaneously into account both the dimensions of

frame content and frame structure. Frame content defines the domains of knowledge

characterizing a given frame, the substantive areas on which people focus their attention for

interpretation and sense-making (e.g. the motivation for adopting a new technology vs the

conditions for implementation and use of the technology; for review see Davidson, 2006).

Frame structure identifies “the way people construct their argument or viewpoint, regardless

of its content” (Fiol 1994, p. 405). Frame structure represents a more dynamic component of

cognitive frames, referring to how something is expressed in communications, which, in turn,

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reflect the “schemata of interpretation” used by individuals or groups to make sense of a

situation (Bartunek, 1984; Gray et al., 1985). Specifically, building on Fiol (1994) and on

previous research (Bartunek et al., 1983; Davidson, 2006; Weick and Bougon, 1986), I

emphasize two elements of frame structure: the breadth of a frame, i.e. the number or scope

of issues attended to in a frame (Walsh et al., 1988) and the rigidity/flexibility of a frame, or

the degree of certainty and confidence conveyed in a frame, which also indicates the extent to

which a frame is likely to be broadened/narrowed to resolve or emphasize differences and

contrasts among individual or groups‟ viewpoints (Bettenhausen and Murnighan, 1991).

While most research on cognitive frames primarily focuses on frame content (for review see

Elsbach et al., 2005; Walsh, 1995), analyzing also frame structure is fundamental to

understand how frames change over time, uncovering potentially new counter-intuitive

findings on the process of framing and organizational outcomes (e.g. Fiol, 1994).

To answer the research question above, this paper reports the findings of a grounded

theory comparative analysis of two organizations which implemented the same type of IT-

enabled organizational change with radically different results. In one organization, the results

of the planned change have been fully achieved; while in the other organization, the change

was not embraced by organization members, jeopardizing the effects of information

technologies. Building inductively from these two field studies, the paper provides a process

model documenting how the structure and content of the cognitive frames adopted by change

participants evolved during the respective change initiatives. The model also shows how

cognitive frames interact with the different organizational contexts characterizing the two

organizations to influence the final outcomes of the IT-enabled change.

The specific IT-enabled organizational change considered is the introduction of IT-

enabled distributed work practices in traditionally collocated organizational structures.

IT-enabled distributed work practices are defined as “the new organizational processes and

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routines designed to allow employees performing their work in a location different from their

organization‟s main conventional office via the use of information technology” (Illegems and

Verbeke, 2004). These practices can include the organizational procedures and routines

connected to the introduction of different forms of telework (for review see Bailey and

Kurland, 2002); to the set-up of geographically dispersed virtual teams (O‟Leary and

Mortensen, 2010); or to the running of global product development activities (Orlikowski,

2002). The relevance of this phenomenon is testified by firms‟ accelerating interest and

investment in distributed work arrangements: 33.7 million people in the U.S. worked

remotely from their organization‟s main office in 2008, a 43% increase in a five-year-period

(Dieringer Research Group, 2009). At the same time, research on IT-enabled distributed work

and virtual teams –as research on IT adoption more in general- has shown mixed and

contradictory findings on the benefits of distributed work (e.g. Hinds and Kiesler, 2002),

devoting less attention to the dynamics through which physically-collocated organizations

can successfully move towards a distributed work configuration. Thus, an additional aim of

this paper is to tackle this gap in distributed work research.

This paper is structured as following. First, I describe the research methodology, data,

and data analysis procedures adopted in the empirical study; second, I illustrate the model

generated from the data, describing in detail the process of IT-enabled organizational change

in the two organizations and how framing and organizational context interact to shape this

process; last, implications for future research and practice of IT-enabled organizational

change are discussed.

2. Research Methods and Data

2.1 Research Methodology

I used a grounded theory methodology (Glaser and Strauss, 1967) for two reasons.

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First, the grounded theory approach fits well the interpretive orientation of this

research. The aim here is not to explain the phenomenon under study (i.e. IT-enabled

organizational change) in terms of causality, testing hypotheses derived from theory. Rather,

the aim is to develop a context-based and process-oriented model about the phenomenon,

starting from the situated understandings (i.e. cognitive frames) of the actors concretely

experiencing organizational change. Grounded theory methodology is germane to this end, as

“it is most suited to efforts to understand the process by which actors construct meaning out

of their inter-subjective experience” (Suddaby 2006, p. 634), by analyzing “the actual

production of meanings and concepts used by social actors in real settings” (Gephart 2004,

p. 457). This aim can be effectively achieved using grounded theory methodology, as

demonstrated by several exemplary studies (e.g. Gersick, 1988; Orlikowski, 1993).

Second, grounded theory is particularly appropriate when there is a lack of systematic

theoretical formulation on the topic addressed (Glaser and Strauss, 1967). As discussed,

although there has been substantial research on the topic of frames and change in general

(e.g. Bartunek, 1984), we are far from having a systematic understanding of the possibly

different processes of framing, especially concerning how framing dynamics can interact

with features of organizational context to produce different trajectories of organizational

innovation. Grounded theory is appropriate in these cases when there is a need of generating

new theory on under-developed aspects of existing theories (Suddaby 2006, p. 635).

It is worth noting here that the concept of cognitive frames itself was not anticipated

at the outset of the empirical research, but rather emerged as important key concept from my

interviews. As discussed in section 2.4., data analysis led me to search into a literature –i.e.

the literature on cognitive frames- different from the literature that I initially used to approach

the topic, mostly concerned with the implementation of IT and organizational change.

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2.2. Case Selection

Following Glaser and Strauss (1967)‟s theoretical sampling, the two organizations

were selected for their similarities as well as for their differences (Eisenhardt, 1989; Gersick,

1988; Orlikowski, 1993). Theoretical sampling requires paying attention to both theoretical

relevance and purpose. With respect to relevance, this sampling method ensures that the

substantive area addressed –e.g. here the IT-enabled organizational change analyzed- is kept

similar (Eisenhardt, 1989). Thus, both the organizations chosen for this study had adopted IT-

enabled distributed work practices starting from a physically collocated work organization.

With respect to purpose, because the aim of this research is to generate a model applicable

across different contexts, identifying possible contingencies and contextual factors on the

process of framing and change, I decided to select polar types of organizations, as previous

studies did (e.g. Gersick, 1988). As Harris and Sutton (1986, p. 8) point out, “similarities

observed across a diverse sample offer firmer grounding for propositions about the constant

elements of a model, than constant elements observed in a homogeneous sample”. As a

result, the two selected organizations differ significantly on important dimensions, such as

industry, location, size, structure and culture. In addition, they represent a successful and

unsuccessful case of IT-enabled organizational change.

The first field study was conducted in Alpha, one of the largest county government

organizations in Italy, employing 4,340 full-time employees at the time of the study. In 1998,

County Councillor for Internal Affairs in Alpha first introduced an IT-enabled distributed

work program to allow employees to work remotely via the use of LOTUS notes and similar

proprietary groupware technologies. Although distributed work was initially sponsored as the

“new revolution of workplace” targeting an estimated number of employees of 250 in a two

years from the launch of the study, at the time of our study there were only 38 distributed

workers and no further extension of this innovative work practice was expected.

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The second field study was conducted on a medium translation services company

employing more than 160 workers, Omega, which introduced IT-enabled distributed work

practices for their employees and managers. In less than a year, the practice of distributed

work became established in Omega as a normal alternative to the collocated work. Through

distributed work, the company was able to cut by half its office spaces‟ costs and to obtain

significant improvements of labor productivity.

2.3 Data Collection

In both research sites, data were collected through a variety of methods: unstructured

and semi-structured interviews, archival materials and documents, observation. The field

study in Alpha was conducted between September 2002 and June 2003, while the field study

in Omega was conducted between the summer 2003 and the spring of 2004. To validate my

findings, I went back to the two organizations in the fall 2005, conducting additional

interviews and asking key informants to read my reports. I spent initial time at the two

research sites reviewing the documentation generated on distributed work (such as, plans,

meeting minutes, newspapers‟ articles), conducting general-purpose unstructured interviews

with key informants and observing the organizational context. I then conducted semi-

structured interviews with the key players initially identified and with other actors involved

in the change identified interviewing key players. Thirty semi-structured interviews were

conducted at the one site (Alpha) and twenty four at the other site (Omega), each lasting from

an hour to over three hours. Interviews were taped and transcribed verbatim. When the

interviews could not be directly taped, I wrote extensive field notes reconstructing the

interview‟s content right after the meeting. Participants spanned all the organizational levels

relevant for the changes analyzed, from president, to middle and senior managers, to line and

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staff employees. Table 1 reports the formal position of the interviewees and the number of

interviews conducted in the two sites:

Position Alpha Omega Total

President 1 1 1 2

Senior Managers 8 3 11

Middle Managers 5 10 15

Employees 16 10 26

Total 30 24 54

Table 1 – Number of Interviews and Formal Position of Respondents

2.4 Data Analysis

Following the principles of grounded theory from cases (Glaser and Strauss, 1967;

Eisenhardt, 1989; Yin, 1984), data analysis was inductive and open-ended, but informed by

my initial interest in how individuals in organizations experience the organizational dynamics

connected with the introduction of new information technologies in existing work practices.

As recommended by the constant comparative method illustrated by Glaser and

Strauss (1967), data analysis started when the field work began: I regularly wrote field notes

and memoranda from my analysis of collected data while collecting those data. In a first stage

of analysis, I used these data to reconstruct a timeline of the events of the change programs

introduced in the two organizations. This exercise gave me some initial insights on the

different roles of specific actors in the change process. In a second phase, I identified a list of

themes and codes from these actors‟ interviews and from the minutes of their meetings. This

initial list mostly concerned actors‟ activities and their views on the major events in the

1 County Councilor for Internal Affairs in the case Alpha; President in the case Omega.

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change initiative. Data have been initially coded following the open coding technique

(Strauss and Corbin, 1990), letting themes and codes emerging from data, and adding new

codes as they emerge from multiple readings of data. I organized the recurring themes and

codes into a preliminary list of concepts and categories (Strauss and Corbin 1990).

Subsequently, I followed Strauss and Corbin (1990)‟s axial coding technique, making

connections between different categories and concepts and linking the emerging recurring

themes and codes to a common and stable set of concepts and categories.

At this stage, I had identified the environmental and organizational context, the set of

key players and their activities (see Figure 1 below) as relevant categories of my model.

However, I was not satisfied with the concepts and categories describing the activities carried

out by the key players –much broader concepts than the ones listed in Figure 1. Specifically, I

started realizing that a substantial amount of data was actually describing how different actors

saw and interpreted each other‟s actions and significant aspects of the change initiative.

Intuitively, in my understanding, these data referred to something different than key players‟

activities per se, in a sense preceding key players‟ single actions and encompassing them at a

more general level. To check on my intuition, I went back to the original timeline of the

events of the change process and I started “attaching” to each phase of the change program

the different interpretations given by the interviewed actors. While doing that, I began seeing

some patterns in the ways different actors talked and interpreted the events and in the ways

they justified their actions. These patterns strengthen my initial intuition. At this stage, to

make sense of what I perceived as an incongruity between the data and the model, I started

looking into the concept of cognitive frames and the relevant socio-cognitive literature.

Drawing on this literature, I started re-coding all the concepts and categories which

referred to the key players‟ activities by conducting a frame analysis (Goffman, 1974;

Kaplan, 2008; Orlikowski and Gash, 1994). I identified cognitive frames from individual or

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group statements made in interviews and meeting minutes, looking for similarities across

statements. To my surprise, I found more similarities than I expected within actors that had

similar formal positions and roles in the change process (see Figure 1 below). I identified

cognitive frames‟ content by classifying people‟s interpretations and viewpoints expressed in

their statements, while I identified frames‟ structures by comparing the ways in which people

crafted their statements and by contrasting the relative number of issues included in each

frame and the extent to which actors‟ statements were displaying certainty (Fiol, 1994).

Crucial in this stage was the constant iterative process of comparison recommended

by the grounded theory approach (Glaser and Strauss, 1967). I iterated between raw data,

emerging categories of frame content and structure and the related literature in order to settle

on overarching categories and their interconnections. I also constantly compared the two

organizations, analyzing the data collected for the two cases in turn and in parallel (e.g.

Orlikowski, 1993). The initial categories of frame content and structures were contrasted and

qualified through this process of comparison. This iteration between data and conceptual

categories ended only when data analysis reached what Glaser and Strauss (1967) called

“theoretical saturation”, that is, the situation in which enough categories and associated

concepts have been defined to explain what had been observed in both the cases and when no

additional data were found to add to the scheme of categories identified.

To corroborate the interpretations made, emerging concepts were checked for

representativeness by examining them across participants (Miles and Huberman, 1984; Yin,

1984). To ensure validity, concepts were also validated with triangulation, actively searching

for, and trying to give meaning to, differences found across data sources (multiple informants

at different levels of the organization), across the two organizations, and across data

collection methods (e.g. interviews and archival materials). For example, minutes of the

executive committee were confronted with ex-post reconstructions given in the interviews.

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Finally, two key players per each organization (a component of the development team and a

target manager) were asked to provide feed-back and comments on an executive report

summarizing the findings of the study per each organization.

3. Research Results

The process of IT-enabled organizational change surrounding the introduction of

distributed work in the two organizations is illustrated in Figure 1. The figure shows the

categories and concepts emerged as salient from data analysis and how they interact with

each other. The model is proposed as a formulation of the key concepts and categories

involved in a process of IT-enabled organizational change. No claim is made that this model

describes exhaustively every IT-enabled organizational change process. Thus, this process

model should, and hopefully will, be enriched and modified by other studies. Below I

describe the categories and the arrows depicted in Figure 1, “walking” through the figure

following the order suggested by the numbers reported in the figure.

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FIGURE 1 – Process of IT-enabled Organizational Change around Distributed Work

(Key Concepts and Interactions Generated via Alpha and Omega‟s Case Studies)

Four players had a key role in the process of developing and implementing an IT-

enabled distributed work program in the two organizations: initiator of the change;

development team; target managers; target employees. Each of these key players engaged in

a set of activities critical for the introduction of IT-enabled change in the two organizations.

These activities are reported in the boxes corresponding to each key player (boxes 1, 2, 3, 4 in

Figure 1). For example, in both Alpha and Omega the introduction of distributed work has

been initiated by a single crucial sponsor of the change, which first recognized some

problems or opportunities in the organizational and environmental context, envisioning

information technologies as the solution; and defining general objectives for a organizational

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change program designed around those technologies (Box no. 1).

Importantly, the actions of these key players had been influenced by the different

cognitive templates that each of these actors used to interpret three key elements of the

change initiative (CS= change strategy; CI= change implementation; NC= nature of

change), which are detailed below as three separate domains of cognitive frames‟ content. As

said, building explicitly on the tradition of socio-cognitive research (Berger and Luckmann,

1966; Gioia, 1986; Weick, 1979), I labeled these templates as “cognitive frames”.

Consistently with this research, in the model cognitive frames “serve as vehicles for people‟s

understanding and action” (Gioia 1986, p. 50), by being located in between, and constructed

through, the interactions among actors (Goffman, 1974). From this perspective, each player‟s

cognitive frame (depicted in the four ovals in Figure 1) has two primary functions in the

model. First, serving as input into the actor‟s decision-making process and behavior,

cognitive frames shape “how actors see the world and their own interests…actors make

choices and act from within that understanding (Kaplan 2008, p. 732; emphasis added). This

first function of frames is symbolized by the set of arrows identified by the a subscript in

Figure 1 (respectively, 1a, 2a, 3a, 4a for each key player). At the same time, cognitive frames

are also vehicles to influence, mobilize, and communicate with other actors as the change

initiative unfolds. This function of frames has been studied extensively, mostly at the field

level, in the social movement literature (for review see Benford et al., 2000), but it has also

been recently addressed in intra-organizational analyses of cognitive frames (Kaplan, 2008).

This function is symbolized with the set of arrows identified by the b subscript in Figure 1

(respectively, 1b, 2b, 3b for each key player)2.

2 In Figure 1 there is no arrow 4b signaling the use of TE’s cognitive frame to mobilize the action of other actors

by conveying TE’s frame about the change initiative. This is because I didn’t detect mobilization attempts by

target employees in any of the two organizations. However, this may be due to data limitations, as most

probably target employees used their frames to influence other actors in the change initiative, for example

managers or colleagues. These influence attempts apparently did not have any significant impact on the actual

outcomes of the change, and have not left empirical traces in the history of the two changes.

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It is important to note here that the particular sequence of the change process found in the

data is part of the findings emerging from the field studies. As depicted in Figure 1, the

process of IT-enabled change in the two organizations evolved though an apparently linear,

almost hierarchically shaped, sequence, going from the initiator of the change to the targets of

the change (i.e. managers and employees). This does not mean that the change envisioned at

the beginning was faithfully translated into outcomes via linear reactions from the actors

targeted for change. Quite the opposite, in both cases the trajectories of change have been

marked by unexpected turning points, while the meaning itself of the change initiative was

transformed via the interaction of actors‟ different cognitive frames (see section below).

However, the linear sequence depicted in Figure 1 has two important implications on how to

interpret the findings of this study. First, it indicates that individuals or groups occupying a

similar formal position and role (in the organization and, more specifically, in the change

initiative) have been found to have similar cognitive frames about the change initiative.

Second, it indicates that each key player cognitive frame has been influenced much more

significantly from the frames of their immediate counterparts in the change process rather

than from other actors‟ frames (e.g. target employees were more influenced by the frames of

target managers rather than by those of the development team). Both these findings were not

expected at the beginning of the study and they are quite remarkable as they emerge from a

comparative analysis of two very different organizations. The implication of these findings

for the socio-cognitive literature will be elaborated in the discussion session.

In terms of the content of the key players‟ cognitive frames, I empirically identified three

specific content domains of cognitive frames as salient in the process of change:

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1. Change Strategy (CS), which refers to people‟s understanding of why the organization

is pursuing IT-enable organizational change. It includes their understanding of the

motivation or vision of other organization actors sponsoring the change;

2. Change Implementation (CI), which refers to people's understanding of how the

proposed change is likely to be implemented in the context of the organization, the

likely or actual conditions and consequences associated with change implementation;

3. Nature of Change (NC), which refers to people's understanding of the change

program, including the core element/focus of the program. Differently from CS, this

category includes people‟s understanding of their own motivation to join the change.

Data concerning these frame domains for each of the key players involved in the two

organizations are reported in Figure 2 and 3 below. Although identified empirically, these

three categories are consistent with other frame domains identified by socio-cognitive studies

of IT adoption and organizational change (Davidson, 2006; Orlikowski and Gash, 1994).

Finally, I found that the key players‟ cognitive frames and activities have been influenced

by the organizational and environmental context in which the change was embedded and

unfolding over time (arrow 5). Table 2 below describes the environmental and organizational

context of IT-enabled change in the two organizations. For example, the cognitive frames of

the initiators of the change in the two organizations have been influenced by the

environmental context to which these actors were exposed. At the same time, in drawing on

their contexts to articulate their cognitive frames, actors also reinforce those contexts (arrow

6), often unintentionally. In this respect, the model shares the premise of structuration theory

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(Giddens, 1984) that human action and structural context interact and reciprocally influence

each other over time, as other studies of IT-enabled change (e.g. Orlikowski, 1993).

In the next two sections, I provide the empirical evidence collected on these concepts for

each of the two cases3. Specifically, the first section is devoted to a description of the key

players‟ activities and the content of their cognitive frames, while the second section

describes the process through which these frames evolved. Where not differently indicated,

the quotes reported in the sections 3.1 and 3.2 below refer to interviews with the study

participants. I used a standard convention to refer to interviewees in each quote, indicating

first the formal position of the interviewee in the organization, second a letter indicating the

organization (A for Alpha and O for Omega) and an anonymous number for each respondent

(e.g. A1), finally the key player group in which I classified the respondent (e.g. DT for

development group).

3 Despite analytically distinct, the two categories of “reacting to change” and “experiencing change” have been discussed under the same

section for convenience and for the sake of brevity.

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Table 2: Context of IT-enabled Change in Alpha and Omega

Categories Concepts Data (Alpha) Data (Omega)

Organizational

Context

Strategy

Being the leading

County government in

the nation, providing

more timely and higher

quality public services

to citizens, by

leveraging on new

information

technologies for

regional development

Dominate the market

for translation and

localization services at

the global level, by

leveraging on new

information

technologies for

market growth and

organizational

efficiency

Organization

Structure and

Culture

Functional structure

Highly formalized and

centralized

Low level of internal

mobility across

functions

Bureaucratic and

lifetime employment

culture

“ Job security” as

shared belief

Project organization

Low level of

formalization and

centralization

High level of internal

mobility across

projects

Market and

meritocratic culture

“Pay for performance”

as shared belief

IT

PC workstations widely

diffused and used

Limited use of

groupware IT for

collaboration

PC workstations

widely diffused, but

used mostly for

individual work

No use of groupware

IT for collaboration

Environmental

Context

Labour

Regulation

No temporary contracts

allowed (public

regulation)

Temporary free-lance

contracts allowed

(private regulation)

Competition

Fall of public

monopolies in utilities

creates competition

from private actors

Increasing global

competition on price

and time-to-market

IT New groupware and

internet technologies

available

New groupware and

internet technologies

available

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FIGURE 2 – Key Players‟ Frames (Alpha)

FIGURE 3 - Key Players‟ Frames (Omega)

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3.1. The Process of IT-enabled Organizational Change in Alpha

3.1.1 Envisioning Change (Initiator of Change)

The idea of introducing distributed work in Alpha was launched in March 1998 by the

County Councilor for Internal Affairs (the initiator of change, IC). Stimulated by a series of

environmental changes and by recent changes in the organization structure and strategy of

Alpha, the County Councilor perceived IT-enabled distributed work as a fundamental piece

of a major transition of the County‟s public administration:

“Times were ripe for a major innovation in our administration, it‟s sort of a long story…it

dates back at least a few years before with the increasing computerization of our

administrative offices and with the new labor regulation, which introduced a standardized

evaluation system for all public employees…all these initiatives were directed to make us the

most efficient and citizen-centered County‟s administration in our country…in this context, I

thought that we were well ready to be the first administration in the Nation to introduce

distributed work on a wide basis…” (county councilor, A1, IC).

Described by his consultants at the time as “resolute” and “very confident” to become the

promoter of this major with Alpha, the County Councilor had very ambitious and optimistic

objectives for his “jewel project”, estimating that the distributed work program would

involve 250 people, within two years of the change introduction. What was defined at the

time as the "Distributed Work Strategic Project" had three types of objectives: 1) Improving

employees‟ satisfaction and work/life balance, by offering commuting workers the

opportunity to work closer to their homes and families; 2) Improving organizational

efficiency, by reducing the county‟s administration costs for office spaces and by increasing

employees‟ productivity via IT use; 3) Reducing pollution and traffic in the region, by

reducing work-related commuting. In other words, as described in the official document

launching the project, distributed work was expected to be the “ultimate revolution of the

public workplace”.

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Notably, the initiative was envisioned as having broad community, economic and

organizational objectives, but the type and function of information technologies expected to

support distributed work –and to increase employees‟ productivity- were not mentioned or

specified in this phase of the program.

3.1.2 Planning Change (Development Team)

After the approval of the project by the County Council, the Councilor constituted a

committee including 8 people (6 Alpha‟s senior managers and 2 external consultants expert

in distributed work initiatives). Acting as a development team of the initiative, this committee

held a fundamental role in defining the scope of the IT-enabled change by formalizing a

planning document to set the "Guidelines for the Adoption of Distributed Work in Alpha".

Several decisions were formalized in this document, which constituted the platform

for the implementation of distributed work in the subsequent stages of the change process.

First, the team decided to start experimenting distributed work only in the form of home-base

remote working on employees to be selected on the basis of three requirements: 1) daily

commuting employees; 2) administrative jobs; 3) subject to approval by the manager

supervising the employee, which had to evaluate whether the job of the “candidate”

distributed worker is "suitable to be carried out at distance". Following these guidelines, a

questionnaire was distributed to employees to determine their willingness to work from home

and their level of daily commuting. 90 "candidate distributed workers" were identified

through this survey. However, only 10% of the supervising managers approved the

experimentation of distributed work for their subordinate employees, yielding a final number

of 12 distributed workers, against the initial target of 250 employees. Importantly, most of

these employees belonged to different organizational units, jeopardizing the change initiative

and its expected benefits in terms of reduction of office spaces‟ cost.

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Close examination of the committee‟s meeting minutes and interview data reveals an

interesting scenario behind the decision-making process of the team. Indeed, members of the

committee knew which selective organizational interventions were necessary to achieve the

objectives of the change program:

“It became increasingly clear to us that the distributed work initiative had to reach a

sufficient scale to meet the set objectives …the distribution of workers was also extensively

discussed…if we had to obtain the expected real estate costs‟ reduction, we had to have a

group of at least 2/3 distributed workers in each organizational unit, or, alternatively a desk-

sharing program across units…but all these changes were just too radical for our

organization and I personally believe that no one, starting from the Councilor, was ready for

that at the time…” (manager, A6, DT).

Paradoxically, despite they were aware of changes necessary to accomplish the

project‟s objectives, member of the Alpha‟s development team never actually proposed those

interventions. This was for two primary reasons.

First, they believed that the Councilor was actually more interested in a quick

realization of the project in order to earn the political and electoral gains of the innovation as

soon as possible, rather than being seriously committed to a long-term radical change of

Alpha‟s organization:

“one of the main reasons why this initiative was launched was that distributed work was

„cool‟ for the external reputation of the County organization…what the councilor was really

interested in was to make headlines in the newspapers…they want people to believe we are

always first…saying that we were adopting distributed work was an opportunity to

demonstrate to the public that our administration was innovative and ahead of other

administrations…”(manager, A7, DT).

“we examined several alternatives before formalizing the guidelines…however, at some point

we started procrastinating all those solutions which required more time and effort in the

implementation…we knew we were on a fast track and that the councilor wanted us to get

things done as quickly as possible, so those guidelines were the more reasonable solution in

that situation” (manager, A5, DT).

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This evidence supports the finding that the shared cognitive frame of the development

team‟s members was influenced by the way they interpreted the cognitive frame and actions

of the initiator of change (arrow 2c in Figure 1). More than an acontextual problem-solving

process on how to accomplish a set of objectives, what we observe here is a cognitive process

in situ, by which different interacting parties adapt solutions and actions to the context that

they “see”, via their situated understanding of each other‟s interests.

Second, members of Alpha‟s development team had a much more pessimistic view

on change implementation than the councilor, anticipating that a radical change would have

provoked "obstructionist" reactions by managers, which would be afraid of losing part of

their control and power on distributed workers due to physical distance:

“I was surprised to discover that almost all the directors and senior managers in the team

expected a lot of resistance from the managers supervising the employees…I guess, this is

due to the fact that Alpha‟s culture is predominantly based on physical presence and direct

control….so, we (i.e. the members of the development team) thought to anticipate managers‟

reactions, by focusing on those employees which had “objectively justifiable” reasons to

work at distance” (manager, A8, DT).

“We thought a preliminary identification of the employees who actually needed to work at

distance, for personal and family reasons, would have been helpful for the managers

supervising those employees… this should have provided a sort of “objective” basis from

which we could have better negotiated with the managers on the terms and conditions of the

initiative….that seemed a good idea at the time…..however, in retrospect I believe that it

wasn‟t….probably it was the only feasible solution, though…. Nobody in the team really

believed in a really radically change, so any other alternative sounded like proposing to

“shoot for the moon” (consultant A2, DT).

3.1.3 Reacting to Change (Target Managers) and Practicing Change (Target Employees)

Despite the attempts of Alpha‟s DT to avoid managers‟ resistance, manager‟s first

reaction to distributed work‟s introduction was indeed opposition because they perceived the

initiative as a top-down imposition by the committee:

“I remember that one day I received a written communication by them, asking for my

approval on distributed work…..they wanted me to allow one of my people to work outside

the office because she had commuting problems…I had heard about distributed work, but I

was expecting them to first ask us which of our employees was best suited to work at a

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distance…I mean, if you want my approval, you don‟t send me a letter asking me YES or

NO…they didn‟t even know who are the employees they were talking about! We, who are

everyday here, know who the employees are and who is more responsible and accountable

among them….” (manager, A12, TM, emphasis in original).

“I didn‟t know much about this…then one day I was contacted about one of my

collaborators, they proposed her as a candidate “teleworker” and wanted my

authorization….I thought that this could have been unfair with respect the other employees of

my unit…they would have asked me why she could work from home while they had to stay in

the office…so I said NO” (manager, A13, TM).

Alpha‟s target managers emphasized an oppositional logic, contrasting what “they”

(the members of the development team) suggested with what “we” (the target managers,

collectively intended) expected from the change initiative. In addition, target managers

predominantly understood the change initiative as a program benefiting employees, without

seeing in it real benefits for the productivity of the offices:

“…it is easy for them to propose radical changes without thinking carefully about the big

impact that those changes can have on our job, because at the end of the day we are the only

ones held accountable for the final results of our organizational units….so, they wanted us to

allow our collaborators with special needs to work outside the office, but how can we be sure

that they will get their jobs done properly then? Who will make sure that their jobs get

integrated with the work of the other employees working in the office? That distributed work

initiative could have had huge additional costs for our units, without really bringing any

benefits….”(manager, A13, TM).

“on one side, the central administration was asking our organizational units to increase the

efficiency and speed-up completion time; on the other side, there was that Councilor‟s group

asking us to relinquish control over employees that had particular commuting needs….now,

it‟s not that I don‟t want to help my collaborators if they have a problem, I care about them,

don‟t get me wrong….but I personally know the people working in my units and if they have a

personal problem they can talk with me and ask for permission to stay home…however,

allowing this on a regular permanent basis was too much….you know, coordinating people

from a distance implies more costs and time….they clearly didn‟t think carefully about this

aspect, because they didn‟t know the huge amount of work that we get done here in the

organizational units…”(manager, A11, TM).

Given their cognitive frames on the nature, implementation and strategy of the

initiative, the target managers did actually oppose resistance to the change by requesting the

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enactment of several rules on the experimentation. For example, distributed workers were

requested to: 1) come back in the office for two days a week; 2) fill in and send, under the

control of their direct supervisors, a weekly activity-report to managers containing the

estimated amount of work to be done and the jobs actually completed in that week; 3) upon

request by managers, provide “additional evidence” of the advantages of distributed work for

executing their tasks at a distance and their commuting activity during the experimentation.

The actual practice of distributed work was a “mixed-blessing” for the target

employees participating to the initiative. On one side, most of them reported a clear

improvement in their work/life balance, as testified by a questionnaire handed by the

development team after a year from the start the change initiative. 92% of the 12 distributed

workers (11 out 12) were overall “strongly satisfied” with the initiative because of a

reduction of commuting time and the possibility to work from home. At the same time, 10 out

of 12 distributed workers complained about the relative isolation and the “feeling of

exclusion” that they felt when coming back to the offices. In addition, 11 out 12 distributed

workers reported a “lack of trust by their supervising managers” and “additional control on

their work” as the main problems that they were experiencing in practicing distributed work:

“distributed work has certainly improved my working life, but my (distributed work)

colleagues and I noticed that our supervising managers became much more focused on

controlling our tasks than non-distributed workers‟ ones…this, to be honest, is quite unfair,

but I also understand why….in general, managers here have never trusted the fact that their

collaborators could work at distance, because they feel more confident if they see them

working in the office next door, it‟s the way it works here, that‟s it…” (employee, A22, TE)

“since I have been teleworking from home, I have noticing that my colleagues in the office

started considering me as a “privileged”, perhaps because I have been the only one allowed

to work at distance in my unit, because I leave very far….this is one of the things that I don‟t

like to work at distance, both managers and other people in the office talk about us as we had

been lucky and as we work less, while I think that we actually work even more and with

tighter deadlines than our colleagues in office…” (employee, A23, TE)

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3.1.4 Outcomes of Change

Alpha‟s distributed work strategic project did not yield the expected benefits, mostly

due to the fact that the change did not reach a sufficient scale with Alpha‟s organization. The

expected social benefits of the program (such as pollution or traffic reduction) were

obviously not achieved due to the limited scale. The cost of office spaces increased rather

than decreasing, due to the installation, maintenance and support of IT at the distributed

workers' houses. Those higher expenses were not compensated by a reduction of office

spaces because distributed workers were spread among different units and buildings. This

jeopardized distribution made almost impossible the implementation of desk-sharing

practices, which were necessary for economizing on office spaces.

Despite distributed employee‟s productivity was overall higher than those of

distributed workers, the benefits of this increase were not exploited by aligning and

integrating the jobs completed by distributed workers with those of their colleagues in the

offices. The organization of work in the organizational units did not change: both employees

and their supervisors disregarded the weekly activity report, employees' tasks and activities

continued to be defined during the “return-to-the-office”. Finally, only the basic features of

the LOTUS groupware technologies installed on home workstations were used on a regular

basis. In terms of job satisfaction, employees were experiencing significant improvements in

their life quality. However, as discussed, they also reported that their work-related

relationships with managers and colleagues were worsening because of the fact that they

were seen as "privileged employees".

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3.2 The Process of IT-enabled Organizational Change in Omega

3.2.1 Envisioning Change (Initiator of Change)

In the mid-90s, Omegas‟ president envisioned the newly available information technologies

at the time as a tremendous strategic opportunity for Omega‟s growth:

“I thought that the opportunities offered by the internet and network technologies were

endless for us, at the time I was among the first in our business to perceive that we were at

the beginning of a new revolution …the biggest challenge was to extend our market and keep

the pace with competition through the use of technology, creating a global network of

translators and clients around the world…the imagery I had in mind, and again this was very

innovative for the time, was to transform our traditional company in a “distributed

community” which free-lance translators from all over the world could join, working with us

on a common technological platform…” (president, O1, IC).

This statement clearly shows that IT-enabled change was envisioned, first and foremost, as a

strategic opportunity for Omega to create a new organizational form able to exploit new

market opportunities and new economies in the translation service industry. The introduction

of IT-enabled distributed work practices in Omega‟s traditionally collocated structure of the

time was understood through the lens of this larger strategy:

“we were taking up a huge challenge and we were aware of it…a big risk was to lose the

talented translators that we had in-house and that had worked with us for years…I knew the

buzz in the company was that things were going to change radically and that people were

scared about their jobs and potential de-localization…but at the same time I knew that

change was necessary for our survival, so also our translators, which were used to work “old

style”, inside our offices each with its PC, had to get used to work together with others

outside of these walls, everywhere they were located and with more flexible times, if they

wanted to compete and keep the pace with the globalization of our business….” (president,

O1, IC).

3.2.2 Planning Change (Development Team)

At that stage, a group of three senior managers with high tenure in the company were

involved by Omega‟s president to lead the introduction of IT-enabled distributed work

practices in Omega‟s traditional work organization, acting de facto as development team for

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the change initiative. As a member of the group recalled, the team was deeply aware of the

organizational risks implied by this change:

“One of the major concern we had at the time was how to “sell” this big change to our teams

without having them scared about their jobs and future career opportunities in Omega…most

of our workforce traditionally consisted of motivated and talented immigrants…and most of

them at the time were concerned that the real intention of the company was to downsize

through IT and bring the jobs where it was cheaper….to be honest, we were not totally sure

about the real intentions of the president behind his strategy neither…was distributed work

really an opportunity for growth or also a smart excuse to cut costs and move the main

headquarter of the company somewhere else? We know that the president is very smart but

also very political...and he is always looking forward to next big move…” (manager O3, DT)

Being aware of these problems, members of the Omega‟s development team started a lively

debate on how to introduce the idea of a distributed work, eventually coming to the crucial

decision of “not emphasizing the idea of a big shift to a new globally dispersed work

community” (Manager O3, DT) that the president had in mind. The decision of the DT‟s

managers was purposeful and informed by the concerns that they had about the likely

reactions of project managers and employees targeted in the change:

“we thought that the idea of an approaching “revolution” could have been scary for the

translators…plus, to us the more interesting aspect of the president‟s vision was the idea of

introducing these new technologies for information storage and retrieval, which had the

potential of truly changing the way we used to work…” (manager O4, DT).

“as project managers ourselves, we knew that our translators and managers are motivated to

maximize their productivity because here it works like the more you are efficient, the more

you get paid, for translators, it all depends on the amount of words and text that they will be

able to translate in a given amount of time…so, a tool reducing the amount of time per

translation could have meant more work done in less time for translators and managers, and

so more money for everyone…that turned out to be the most powerful message we could think

of “ (manager O2, DT).

However, at the time, DT‟s managers did not know and were not confident with the new

tools, so they started talking with Omega‟s software engineers. The development team

embarked in a series of informal “IT training sessions” with a member of the IT group, which

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informally became another member of Omega‟s DT. He “walked” the three managers

through the functionalities and use of the new proprietary technology:

”I recall our first reaction was overwhelmingly positive, the benefits of using the software for

collaboration and text retrieval became immediately clear to all of us….at first it didn‟t

appear easy to use, but the general sense was that the new system could save all of us lots of

time and effort, allowing members of a project and clients to work and communicate on the

same page wherever they were” (manager O3, DT).

Galvanized by the potential of the new software, the three senior managers thought to extend

the training sessions to all Omega‟s managers and translators. They launched a “voluntary

training program” with the aim of illustrating the main features of the new IT-system and its

benefits for handling translation projects, while at the same time introducing the idea of a

distributed work program as an additional “benefit” of the new software allowing managers

and translators to coordinate their work at distance. Differently than in Alpha, senior

managers, decided to not formalize rules for the initiative, defining 4 general principles: 1)

each Omega employee was allowed to voluntarily join the initiative of distributed work

independently from their formal position (managers, translators, etc.); 2) distributed workers

were not subjected to specific and distinctive contractual arrangements (their tasks and roles

remained the same, although the way they were expected to perform their tasks was much

more IT-intensive, given the use of the new system); 3) the periodic evaluation of distributed

workers on a project was decentralized to the manager of that project; 4) the experimentation

of distributed work could have been terminated in case of repeated negative performance

evaluations by different managers across different projects.

3.2.3 Reacting to Change (Target Managers) and Practicing Change (Target Employees)

With time, the reaction of project managers and translators to the voluntary training program

was overwhelmingly positive. While an initial group of 10 people, between managers and

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translators, were attending the first sessions of the training program, the development team

started receiving more and more requests to extend the training sessions, eventually

organizing two other training programs, each involving 25 people in the organizations. As

expected by the development team, the attention of both managers and translators focused on

the beneficial effects of the technologies for handling projects. The distributed work program

was understood in the context of the new technologies.

“I believe these tools really changed our jobs, as they allowed us to handle more projects

than before and to coordinate translators starting from a common shared platform….it used

to be that coordination here happened in long meetings which were often a total waste of

time or that we (ie, the project managers) had to integrate the pieces of work done by

different translators, which had different formats, styles, etc……the problem with that, I

think, was that much information typically was getting lost and then it was our job to go back

and retrieve information to get translators back on track….with the new tools, this became

much easier not only for us, but for the translators as well….and yes, with the help of these

tools it became much easier also managing people at a distance, because all the members of

a team could see how we were proceeding…” (manager O9, TM).

“the new tools certainly facilitated our jobs and the possibility of working a distance, by

keeping us on what each other is doing….it is also a great benefit for me, as I live far from

the office and I can now stay home with my kids if I need…I think all project managers here

are fine with this approach....they can now monitor what we are doing much more effectively

with these tools….no matter where we are, we all use these tools now, so it‟s sort of

indifferent whether we work home, in the office, or in a coffee bar….” (translator O6, TE).

3.2.4 Outcomes of Change

In less than a year since the end of the training session, the practice of distributed work

became established in Omega as a normal alternative to the collocated work. The firm

obtained important economies through reduction of office spaces: before the experimentation,

Omega‟s employees were spread in 10 offices, 5 of which were closed in 2000 after the

diffusion of distributed work. Perhaps more importantly, significant improvements in terms

of projects‟ completion time and productivity had been reported after the initiative. For

example, between 1997 and 1999, the costs of communicating and transferring documents

with clients and translators dropped from 10% to 2,5% of revenues.

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3.3 Framing Processes and IT-enabled Organizational Change in the two Cases

It is interesting to note that the cognitive frames of the organizational members evolved in

very different ways in the two organizations. In this section, I describe and compare these

different framing dynamics detected and elaborate on the mechanisms connecting these

dynamics and the resulting change outcomes.

3.3.1 Framing Processes in Alpha

The evolution of key players‟ cognitive frames in Alpha is depicted in Figure 4:

FIGURE 4 – Framing Dynamics in Alpha: Frame Narrowing and Frame Ossification

As illustrated, Alpha‟s change initiative was initially framed broadly by the county

councilor, including economic, organizational and social objectives, which were tapping into

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the interests of different constituencies (respectively, the county organization, the employees,

the community). The term “broad” refers to the number of different issues represented in the

frame (Fiol 1994). The number of issues contained in a frame has also a political meaning, as

different issues correspond to different constituencies‟ interests. The term is used here in

relative terms, compared to the cognitive frames used by the other organization members to

interpret the same change initiative.

Because of their pessimistic view on change implementation, members of the

development team modified the frame proposed by the initiator of change via two re-framing

processes. They simultaneously narrow and re-focus the initial frame, by, respectively,

eliminating and changing the salience of some of the issues contained in the IC‟s frame. For

example, they de facto eliminated some of the initial objectives of the initiative (i.e. reduction

of office spaces‟ costs). They also re-focused the IC‟s frame, changing the salience among its

primary elements (i.e. employees‟ telecommuting needs and employees‟ satisfaction became

more salient objectives while the expected increase in offices‟ productivity was de-

emphasized), thereby procrastinating the involvement in the change initiative of the

constituencies that could have benefited from the achievement of those objectives (i.e.

supervising managers). The resulting frame was significantly narrower than the initial one.

Quite paradoxically, despite the intent of the development team was precisely to avoid

managers‟ resistance, managers actually opposed such a narrow frame because they felt

excluded from the program, re-interpreting distributed work as an initiative benefiting

uniquely employees and possibly jeopardizing the coordination of their organizational units

by reducing their control on employees‟ workflow. Target managers complicated DT‟s

frame, by including, for example, new rules and procedures to be respected for employees to

join the initiative. Thus, TM‟s frame focused only on the interests of a sub-category of

employees (i.e. those respecting certain task and commuting requirements), thereby further

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narrowing the frame on the change initiative. Eventually, this narrow and complicated frame

prevented the IT-enabled change to widely diffuse in the organization, marginalizing

distributed workers –stigmatized as “privileged employees”- in the eyes of their supervisors

and peers. As a result, target employees started perceiving the change as a “benefit program”

for employees with special needs. This led to an additional narrowing of the frame. Through

this process, productivity- and technology-related issues were definitely eliminated from the

meanings attributed to the word “distributed work” within Alpha. Interestingly, despite the

actual positive effects of change on distributed work‟ productivity and the organizational

effort to re-frame the initiative around these positive productivity effects, the negative

perception of distributed work as an “employees‟ benefit program” persisted in the

organization. In other words, the frame of distributed work became ossified in the

organization, displaying rigidity to re-framing attempts, resisting reversing changes.

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3.3.2 Framing Processes in Omega

The evolution of key players‟ cognitive frames in Omega is depicted in Figure 5:

FIGURE 5 – Framing Dynamics in Omega: Frame Broadening and Frame Embedding

In Omega, the president‟s frame predominantly focused on the need and opportunity

to create a new distributed organization form via IT tools. In this frame, the “new”

organizational form was contrasted to the “old” collocated organization to be transformed.

This frame was relatively narrow, focusing on the interests of one constituency (i.e. the

benefits of the new organization for Omega‟s owner and shareholders), de-emphasizing the

existing Omega‟s organization at the time (i.e. collocated project managers and translators) as

relevant audiences and constituencies of the change initiative.

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Omega‟s development team broadened this initial frame, including new elements such

as the advantages of the new IT tools for Omega‟s managers and employees. In doing so, the

development team embedded the potentially conflicting elements of the initial frame in the

context of a broader message targeting also translators and project managers as key

constituencies of the change. Broadening the initially narrow frame to the interests of

multiple constituencies and re-calibrating the salience of possible conflicting elements,

Omega‟s development team effectively mobilized project managers and employees by acting

on their motivation to join the change and by creating a common perception of inclusion and

participation in the rest of the organization.

Despite positively reacting to the DT‟s initiative of the training program, the target

managers initially re-narrowed the frame, by focusing mostly on the benefits of the new

information technologies for the management of projects (e.g. the benefits for themselves).

The capability of the new technology of supporting geographically dispersed distributed work

became a secondary issue for target managers. Only once the use of the new IT tools became

a routine integrated into new work practices, target employees eventually re-broaden the

frame on the initiative by using the new IT tools also as a platform to work at distance. From

this perspective, the broad frame devised by the development team turned out to be very

flexible, malleably adapting to the interests of different actors, which creatively re-framed the

initial message of the development team serving as a platform allowing different schemes of

interpretation to emerge around the change initiative.

4. Discussion and Conclusions

While Alpha and Omega both intended to implement a major IT-enabled

organizational change with the introduction of IT systems for distributed work, the two

organizations differ significantly in how effectively they were able to achieve their change

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objectives. Contrasting Alpha and Omega on a common set of concepts though a grounded

theory comparative analysis method, this paper shows that these differences can be attributed

to variations in: 1) the context of the IT-enabled change (environmental and organizational);

2) the interpretative process by which the key players involved in the change understood the

strategy, implementation and nature of the change via their cognitive frames, which shaped

their actions and reactions about the change. Importantly, the model emphasizes how these

two factors (context and framing processes) interact to produce change outcomes.

In this respect, the paper makes three distinctive contributions to the socio-cognitive

literature on cognitive frames and organizational change.

First, the findings point to the importance of a dynamic view of framing, showing that

effective cognitive frames may differ during the different phases of an organizational change.

Specifically, the cognitive frames adopted in the initial phases of a change initiative (i.e.

envisioning and planning) are particular important for change outcomes, as they shape

subsequent actions and reactions of the actors targeted in a change initiative. This finding is

consistent with previous studies emphasizing the importance of "windows of opportunity"

occurring soon after IT-related changes were introduced and in which most successful

adaptations were likely to occur (Tyre and Orlikowski, 1994). The paper adds to this finding,

illustrating how windows of opportunity for change can be strategically enlarged (as in

Omega) or unexpectedly closed (as in Alpha) through the framing processes enacted by

actors involved in the change. The important implication here is to focus attention on the

timing of a process of change, looking at the “cognitive turning points” –events though which

some key actors are able to re-shape the perspective from which an initiative had been

initially envisioned- as critical junctions of a change process. The re-framing process enacted

by Alpha‟s development team is particularly instructive in this respect, shifting the trajectory

originally planned by the change initiator.

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The second contribution is related to the central question of what type of cognitive

frames can be more conducive to effective change, pointing to the importance of specific

frame structures and frame contents which can facilitate change.

In terms of frame structures, findings reveal that adopting narrow frames (including

one or few constituencies as targets of the change) in the early stages of a change program

can generate resistance to change. When a change initiative involves different organizational

units and hierarchical levels in an organization, as it is often the case, a narrow frame crafted

from the perspective of one constituency can be perceived as un-balanced and asymmetric by

different organizational actors. As a result, the constituencies not included in the frame can

feel excluded from the change process or simply struggle to understand the rationale for

change from their perspective. In contrast, broad frames can allow a diverse set of

constituencies to recognize their interests in the frame. These results are consistent with Fiol

(1994)‟s findings that broad frames can encompass a diversity of perspectives and are

therefore conducive to organizational learning. This finding calls for more systematic

analysis of frame structures, moving away from purely content issues and looking in

particular at the political origins and consequences of the frame breadth. A practical

implication here is to give careful consideration to the number and type of relevant

stakeholders when planning a change initiative, crafting the communication around the

initiative accordingly, and possibly enlarging the number of constituencies to be involved in

the initial stages of a change process.

In terms of frame content, effective frames have been shown to be consistent with

core characteristics of the formal structure of an organization (such as the type of

compensation schemes or the degree of centralization and formalization characterizing an

organizational structure), while at the same time exhibiting some degrees of inconsistency

and novelty in order to signal the need and opportunity for change. For example, in Alpha the

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frame developed by the development team was disruptive of routines well established in the

history of the organization, such as a culture of control based on physical presence.

Predominantly framing distributed work as “changing the physical location of single

employees” was not consistent with the culture of the organization. In contrast, in Omega the

distributed work initiative was embedded in the context of the opportunities offered by the

new technologies for improving the existing working practices of the organization. This

frame was familiar and consistent with the existing organizational structure, while at the same

time signaling the necessity of a change in existing routines. Generally, the content of

effective frames for change detected in the study balances elements of “new” and “old”, fit

and misfit, consistency and inconsistency, with respect to the status quo. This finding recalls

the notion of robust design developed by Hargadon and Douglas (2001) to explain how

Edison carefully embedded the features of his disruptive inventions in existing

institutionalized understandings.

The third contribution concerns how frames are connected to features of the

organizational structure in which the framing activity is taking place. The study shows that

there is a relationship of reciprocal influence between formal organizational structure and

cognitive frames. On one side, as discussed in section 3.1, actors‟ position in the formal

organization has been found to influence their cognitive frames, as individuals or groups

occupying a similar formal role had shown similar cognitive frames about the change. On the

other side, the findings indicate that the effect of cognitive frames on actors‟ actions and

reactions may vary depending on the formal structure in which actors are embedded. For

example, the negative effect of a narrow frame on Alpha‟s managers‟ reactions could have

been reinforced by the fact that Alpha‟s organizational structure was highly formalized. In a

formalized organized setting, positions, roles and status categories are more crisply defined

than in a less formalized setting. As a consequence, a narrow framing for change is more

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41

likely to be interpreted in a rigid way in formalized work environment. In a world made of

well-defined categories, narrow frames are thereby more likely to generate a perception of

exclusion and misunderstanding. These findings contribute to the exploration of contingent

effects on framing activity which have been recently called for in the socio-cognitive

literature (Kaplan 2008, p. 746), highlighting formal organizational structure and positions as

important sources of individual and cognitive frames. In addition, this finding opens up new

directions for research on how formal organizational structure, by constraining social

interactions, can influence the process through which cognitive frames evolve and become

aligned in a change initiative. The practical implication of this for change managers is to

think ahead and pay attention at how groups and individuals that have different formal

positions are likely to differently perceive a change initiative.

Taken together, these findings go beyond the traditional analysis of cognitive frames

in IT-enabled organizational change, typically analyzing the level of congruence among the

frames adopted by different stakeholders (e.g. Orlikowski and Gash, 1994). Despite analyses

of frame congruence have been pioneering in contributing to this area of study, research on

cognitive frames and technological change is now ready to go deeper in the mechanisms

connecting framing and organizational outcomes (Davidson, 2006; Kaplan, 2008). This paper

contributes to this research agenda by enriching the repertoires of frame content and

structures possibly conductive to effective change; and by pointing to formal organizational

structure as a source of cognitive frames and as a factor interacting with framing processes to

influence the change process.

This study also has some important limitations and boundary conditions. First,

findings may be biased by some data and methodological limitations. For example, the fact

that interview data have been collected after the change was implemented might have biased

the interviewee‟s responses because they had already observed change outcomes. Similarly,

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relying on actors‟ ex-post reconstructions provided in the interviews could have led to an

underestimation of the interactions among the identified groups of key players while the

change was unfolding and, possibly, to overestimating the similarity among cognitive frames

within the groups. Although it is certainly true that I did not observe the real-time process of

frame alignment as this was unfolding at the time of the change, this bias should be mitigated

by the fact that I also used archival material and documents to reconstruct the events –

including many actors‟ interactions such as meetings- of the change process. Second, the

process model developed does not include several concepts which have been proven to

influence IT-enabled organizational change in previous studies, such as the material and

functional aspects of the technology (Leonardi and Barley, 2008), the features of tasks and

routines (Walsh et. al., 1988) and social networks (Barley, 1986). Some of these factors (i.e.

functionalities of technology; tasks) were initially included in our preliminary list of

categories, but they eventually resulted not salient for explaining variations in the process and

outcomes of change in the two organizations examined. A challenge for future research on

IT-enabled organizational change will be to enrich a socio-cognitive perspective, focused on

cognitive frames as emerging from people‟s interaction, with a situated understanding of the

material, technological, and organizational contexts in which the change unfolds.

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Acknowledgements

I thank Stefano Brusoni, Hans Frankort, Gianvito Lanzolla and Vangelis Souitaris for their

comments on early versions of this paper. Remaining errors are my sole responsibility.

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