Elsevier

Research Policy

Volume 34, Issue 10, December 2005, Pages 1550-1569
Research Policy

Innovators and imitators: Organizational reference groups and adoption of organizational routines

https://doi.org/10.1016/j.respol.2005.07.004Get rights and content

Abstract

Firms vary greatly in their rates of creating and adopting technological and organizational innovations, in part because of their choice of reference group. We argue that the selection of a reference group is a crucial and neglected source of firm heterogeneity. Comparisons to the average of other firms in a population cause most firms to adopt innovations once they are widely accepted. A distinctive feature of the minority of innovating firms that create innovations or adopt them early is that they compare themselves with, compete with, and try to differ from other innovating firms, whereas the majority of firms compare themselves with, and conform to, a broader group of firms. We elaborate this argument based on the behavioral theory of the firm and institutional theory, and test it on a two-period survey on adoptions of innovative organizational forms in Europe and the US. The analysis shows the predicted differences in the adoption patterns of innovating and imitating firms.

Introduction

Firms differ in their strategies of adoption and adaptation of technological and organizational innovations, with some firms being pioneers (innovators) and others being late adopters (imitators). The difference between innovators and imitators has been central to theories of creation and adoption of innovations. Economic theory maintains that greater preference for risk or greater ability to innovate generates innovations and higher performance (Schumpeter, 1942), which in turn compels other firms to imitate (Nelson, 1991, Nelson, 1995). Diffusion theory suggests that differences in risk propensity, and capability to generate and adopt innovations determine the order of adoption in a population of otherwise similar actors (e.g., Rogers, 1983, Karshenas and Stoneman, 1995, Lissoni and Metcalfe, 1994). Institutional theory argues that imitation of organizational structures and procedures is driven by norms of rationality (Meyer and Rowan, 1977) and uncertainty (DiMaggio and Powell, 1983), and that differences in social proximity to the innovators explain the order of adoption (Strang and Soule, 1998).

Mimetic behaviour – organizations imitating other organizations or comparison groups – is an established phenomenon supported by an extensive theoretical and empirical literature (Rogers, 1983; Strang and Soule, 1988). Mimetic behaviour has been shown in connection with firm strategies (Fligstein, 1991, Haveman, 1993, Haunschild and Miner, 1997), organizational structure (Fligstein, 1985, Burns and Wholey, 1993), and organizational processes (Sutton and Dobbin, 1996, Massini et al., 2002). Imitation has the effect of decreasing heterogeneity of organizational strategies and practices in an organizational field (DiMaggio and Powell, 1983) and offering legitimacy to organizations that adopt the modal behaviours (Scott, 1987). Imitation of prevalent behaviours as a way of resolving uncertainty and gaining legitimacy raises the question of how organizations come to adopt unusual and innovative practices. Two proposed solutions are that the early adopters have a greater need for the practice to solve political or economic problems (Tolbert and Zucker, 1983, Kraatz and Zajac, 1996) or are embedded in local networks with norms that diverge from those of the organizational field as a whole (Davis and Greve, 1997). Similarly, the technological innovation literature has investigated the characteristics of innovating firms (Pavitt, 1984) and their motivations to innovate (Tether, 2003) without settling on an explanation of how they differ from later adopters.

We propose a general explanation of why actors observing the same technological or competitive environment and having the same basic preferences for risk differ in their organizational routines for initiating and implementing change (Cyert and March, 1963, Nelson and Winter, 1982). The behavioral theory of the firm (Cyert and March, 1963) and its extension to evolutionary economics (Nelson and Winter, 1982) explain change as consequence of feedback on performance or fitness of heterogeneous firms which are characterized by specific routines and meta-routines (Nelson and Winter, 1982, Aldrich, 1999). In this view, managers make technological, strategic, or organizational changes when organizational performance falls short of an aspiration level determined by past experience and/or comparison with a reference group (Cyert and March, 1963, Bromiley, 1991, Greve, 1998). For example, comparison with the average profitability in the industry has been shown to drive strategic change and risk taking (Lant et al., 1992, Fiegenbaum and Thomas, 1995, Greve, 2003). Extending the theory to cover comparison on institutional, not economic, criteria, we propose that the relevant performance measure and determinant of the aspiration level is the prevalence of a new routine in a reference group of firms. In other words, adoption is influenced by whether the organization has the structures and procedures thought to be appropriate and legitimate in its chosen reference group of other firms (Meyer and Rowan, 1977, DiMaggio and Powell, 1983). This proposal implies a closer integration of institutional theory and the behavioral theory of the firm than in previous work. Whereas it is conventional to assume that adoption of new institutions is presented to boundedly rational managers as a solution to various organizational problems, we propose that managers also have an implied goal of incorporating institutions viewed as modern, and thus that the problem solved by adopting a new institution is that the firms in the organizational reference group have adopted the institution, but the focal organization has not.

Once adoption is seen as resulting from the comparison with a reference group of other firms that possibly varies across firms it is important to consider how the reference group is determined. Traditional formulations assume that aspiration levels are determined by comparison to the average of a population (Greve, 2003). This would suggest that most firms are more likely to adopt a technological innovation or new organizational practices once they are sufficiently widespread to become institutionalized. This formulation has the same problem as seen in other theories of imitation of failing to explain the behaviors of early adopters that go against the actions of the majority. The solution is to propose that innovating and imitating firms have different reference groups (Lewin and Massini, 2003). Just as social comparison theory proposes heterogeneity in the reference groups of individuals (Festinger, 1954, Wood, 1989), we propose that innovating firms are more likely to select other innovating firms as their reference group and imitating firms are more likely to select the average firm in the population, or in the sub-population of non-innovators, as their reference group.

These different choices of reference groups occur when innovativeness becomes an important component of firm identities (Dutton and Dukerich, 1991). A history of innovating or adopting new routines or emerging innovations early will cause managers to see their firms as innovators and compare themselves to other firms with a history of early adoption or sustained innovations. Innovating firms, therefore, are more likely to react to actions of other innovating firms than to changes in the population average, and thus are likely to stay innovative (Webb and Pettigrew, 1999). The innovator identity also implies a different reaction to the reference group than the one seen in the majority of firms. Imitating firms primarily change by moving toward the average of their reference group, thereby decreasing heterogeneity. For innovating firms, the average of their reference group of other innovating firms serves as an anchor for choosing distinctive actions, thereby generating greater variety of change relative to their reference group as well as the population average. This explanation advances a more nuanced theory of action than the institutionally anchored social mimetic processes or theories of herd behavior. By distinguishing the reference groups and behavioral strategies of firms with and without an innovator identity it accepts the institutional argument that practices become institutionalized, but adds a mechanism for generating innovations that prime the subsequent process of mimetic adoption.

Our empirical investigation examines whether groups of innovator and imitator firms, identified from their current level of adopting innovations, demonstrate differences in adoption behavior consistent with different selection of reference groups. We test the model using data on the adoption of new organizational routines thought to increase the structural and procedural flexibility of organizations. The data come from a large-scale survey of changes in organizational routines in large European and US firms in the 1990s (Whittington et al., 1999, Massini et al., 2002, Pettigrew and Massini, 2003). We expect the adoption pattern of the majority of firms in the population (imitating firms) to be explained by comparisons to the average of the population. We expect the adoption pattern of a small number of innovators and early adopters (innovating firms) to be explained by comparisons to the average of the top quartile of population. Moreover, we expect the variance around the adoption pattern of innovating firms to be greater than for imitating firms because innovating firms are more likely to differentiate themselves through unique patterns of adoption.

Section snippets

Distinguishing innovating from imitating firms

Various theories distinguish between firms that initiate and contribute to technological change, known as innovators, early entrants, early adopters, and fast followers, and those that adopt change once it is matured, codified and fully understood. Innovative entrepreneurs and firms that create or introduce emerging technological innovations and new organisational routines are central to (neo) Schumpeterian and evolutionary economics and dynamics normally regulated by distance to the average

A model of innovating and imitating firms

Cyert and March (1963, p. 123) proposed that organizations determine their aspiration level on a goal variable as a function of: (1) the aspiration level in previous period, (2) the organizational experience with respect to that goal, and (3) the experience of a reference group with respect to that goal. Their formulation gave rise to a stream of research on how aspiration levels are updated by the recent performance of a focal firm and of comparable firms (Lant, 1992, Shapira, 1994, Greve, 1998

New organizational routines and the INNFORM survey

Recent years have seen the diffusion of a wide range of new organizational forms and procedural routines, in large part inspired by interpretations of the slow response of US firms to foreign competition as a result of rigid organizational structures (Volberda, 1998). Creation of flatter organizations by removing hierarchical layers has been accompanied by increased operational and strategic decentralization. Increased operational decentralization in areas such as product design and marketing

Measures and models

In general, the models we estimate test the hypothesis that changes in the adoption of organizational routines by individual firms depend on their distance from the average of the reference group they compare to. We then build a number of variations on this general model, which include alternative functional forms (linear or quadratic), specific subsets of reference groups, and R&D intensity and changes.

Results

The first four columns in Table 2 present results for the whole population of firms. In columns 1 and 2 normalized change in routines (NCRi = CRi/avg(CR)) is the dependent variable. The coefficient estimates show that the comparison of the firm's adoption level with the average of the population is significant and negative, indicating that firms whose average is well below the population average introduce most organizational changes, whereas firms who are above the population average introduce

Discussion

In this paper we investigate the role of reference groups in determining patterns of adoption of new organizational routines assumed to increase firm structural and procedural flexibility, using data from a large-scale survey of changes in organizational routines in large European and US firms between 1992 and 1996 (Whittington et al., 1999, Massini et al., 2002, Pettigrew et al., 2003). We analyze the diffusion of new organizational routines by modeling the role of reference groups in

References (76)

  • R.E. Hoskisson et al.

    The multidivisional structure: organizational fossil or source of value

    Journal of Management

    (1993)
  • S. Massini et al.

    The evolution of organisational routines among large western and Japanese firms

    Research Policy

    (2002)
  • K. Pavitt

    Sectoral patterns of technical change: towards a taxonomy and theory

    Research Policy

    (1984)
  • E. Abrahamson et al.

    Management fashion: lifecycles, triggers, and collective learning processes

    Administrative Science Quarterly

    (1999)
  • H.E. Aldrich

    Organizations Evolving

    (1999)
  • S.R. Barley et al.

    Design and devotion: surges of rational and normative ideologies of control in managerial discourse

    Administrative Science Quarterly

    (1992)
  • F.M. Bass

    The relationship between diffusion rates, experience curves, and demand elasticities for consumer durables technical innovation

    Journal of Business

    (1980)
  • P. Bromiley

    Testing a causal model of corporate risk taking and performance

    Academy of Management Journal

    (1991)
  • J.S. Brown et al.

    Organizational learning and communities of practice. Toward and unified view of working. Learning and Innovation

    Organization Science

    (1991)
  • R.A. Burgelman

    Strategy as vector and the inertia of coevolutionary lock-in

    Administrative Science Quarterly

    (2002)
  • L.R. Burns et al.

    Adoption and abandonment of matrix management programs: effects of organizational characteristics and interorganizational networks

    Academy of Management Journal

    (1993)
  • W.M. Cohen et al.

    The anatomy of industry R&D intensity distributions

    American Economic Review

    (1992)
  • W.M. Cohen et al.

    Innovation and learning: the two faces of R&D

    Economic Journal

    (1989)
  • W.M. Cohen et al.

    Absorptive capacity: a new perspective on learning and innovation

    Administrative Science Quarterly

    (1990)
  • C.M. Christensen

    The innovator's dilemma

    When New Technologies Cause Great Firms to Fail

    (1997)
  • R.M. Cyert et al.

    A Behavioral Theory of the Firm

    (1963)
  • G.F. Davis et al.

    Corporate elite networks and governance changes in the 1980s

    American Journal of Sociology

    (1997)
  • P.J. DiMaggio et al.

    The iron cage revisited: institutional isomorphism and collective rationality in organizational fields

    American Sociological Review

    (1983)
  • J.E. Dutton et al.

    Keeping an eye in the mirror: image and identity in organizational adaptation

    Academy of Management Journal

    (1991)
  • L. Festinger

    A theory of social comparison processes

    Human Relations

    (1954)
  • A. Fiegenbaum et al.

    Strategic groups as reference groups: theory, modeling and empirical examination of industry and competitive strategy

    Strategic Management Journal

    (1995)
  • N. Fligstein

    The spread of the multidivisional form among large firms, 1919–1979

    American Sociological Review

    (1985)
  • N. Fligstein

    The structural transformation of American industry: an institutional account of the causes of diversification in the largest firms, 1919–1979

  • H.R. Greve

    Performance, aspirations, and risky organizational change

    Administrative Science Quarterly

    (1998)
  • H.R. Greve

    Organizational Learning From Performance Feedback: A Behavioral Perspective on Innovation and Change

    (2003)
  • H.R. Greve

    Inter-organizational learning and social structure

    Organization Studies

    (2005)
  • Greve, H.R., Lewin, A.Y., Sakano, T., Seiford, L., Zhou, J., 2003. Organizational efficiency, selection and imitation:...
  • M. Hammer

    Beyond Reengineering

    (1996)
  • P.R. Haunschild et al.

    Modes of interorganizational imitation: the effects of outcome salience and uncertainty

    Administrative Science Quarterly

    (1997)
  • H.A. Haveman

    Follow the leader: mimetic isomorphism and entry into new markets

    Administrative Science Quarterly

    (1993)
  • M. Karshenas et al.

    Technological diffusion

  • A. Kieser

    Myth and rhetoric in management fashion

    Organization

    (1997)
  • M.S. Kraatz et al.

    Exploring the limits of the new institutionalism: the causes and consequences of illegitimate organizational change

    American Sociological Review

    (1996)
  • T.K. Lant

    Aspiration level adaptation: an empirical exploration

    Management Science

    (1992)
  • T.K. Lant et al.

    The role of managerial learning and interpretation in strategic persistence and reorientation: an empirical exploration

    Strategic Management Journal

    (1992)
  • T.K. Lant et al.

    Learning from strategic success and failure

    Journal of Business Research

    (1987)
  • Lewin, A.Y., Lovell, C.A.K. (Eds.), 1990. Frontier Analysis. Parametric and Nonparametric Approaches, Journal of...
  • Lewin, A.Y., Lovell, C.A.K. (Eds.), 1995. Productivity Analysis. Parametric and Non-Parametric Applications, European...
  • Cited by (132)

    • Performance feedback and firms’ relative strategic emphasis: The moderating effects of board independence and media coverage

      2022, Journal of Business Research
      Citation Excerpt :

      Unabsorbed slack was measured by the ratio of current assets to current liabilities, meaning the freedom of managers to allocate resources. We also included some top management team (TMT) related variables, including CEO duality, CEO ownership, TMT ownership, and TMT salary, to control for their effects on firms’ strategic emphasis, as TMT characteristics may influence firms’ strategic behavior (Desai, 2016; Martin et al., 2016; Massini et al., 2005; Mishina et al., 2010). CEO duality was coded 1 if the CEO of the focal firm also served as the board chair, and 0 otherwise (Peng et al., 2007).

    View all citing articles on Scopus
    View full text