Chasing the Hottest IT: Effects of Information Technology Fashion on Organizations

What happens to organizations that chase the hottest information technologies? This study examines some of the important organizational impacts of the fashion phenomenon in IT. An IT fashion is a transitory collective belief that an information technology is new, efficient, and at the forefront of practice. Using data collected from published discourse and annual IT budgets of 109 large companies for a decade, I have found that firms whose names were associated with IT fashions in the press did not have higher performance, but they had better reputation and higher executive compensation in the near term. Companies investing in IT in fashion also had higher reputation and executive pay, but they had lower performance in the short term and then improved performance in the long term. These results support a fashion explanation for the middle phase diffusion of IT innovations, illustrating that following fashion can legitimize organizations and their leaders regardless of performance improvement. The findings also extend institutional theory from its usual focus on taken-for-granted practices to fashion as a novel source of social approval. This study suggests that practitioners balance between performance pressure and social approval when they confront whatever is hottest in IT.

[1]  T. Breusch TESTING FOR AUTOCORRELATION IN DYNAMIC LINEAR MODELS , 1978 .

[2]  Mark C. Suchman Managing Legitimacy: Strategic and Institutional Approaches , 1995 .

[3]  Nancy E. Grund Reputation: Realizing Value from the Corporate Image , 1996 .

[4]  John W. Meyer,et al.  Institutionalized Organizations: Formal Structure as Myth and Ceremony , 1977, American Journal of Sociology.

[5]  Mark J. Zbaracki The Rhetoric and Reality of Total Quality Management , 1998 .

[6]  C. Hardy Organizations: Rational, Natural and Open Systems , 1983 .

[7]  P. David Clio and the Economics of QWERTY , 1985 .

[8]  J. MacKinnon,et al.  Estimation and inference in econometrics , 1994 .

[9]  Sue Newell,et al.  A cross-national comparison of the adoption of business process reengineering: fashion-setting networks? , 1998, J. Strateg. Inf. Syst..

[10]  James D. Westphal,et al.  Customization or Conformity? An Institutional and Network Perspective on the Content and Consequences of TQM Adoption , 1997 .

[11]  Edward J. Zajac,et al.  The symbolic management of stockholders: Corporate governance reforms and shareholder reactions , 1998 .

[12]  Geoffrey A. Moore,et al.  Crossing the Chasm , 1991 .

[13]  Neil C. Ramiller,et al.  The Organizing Vision in Information Systems Innovation , 1997 .

[14]  Wanda J. Orlikowski,et al.  Technology and Institutions: What Can Research on Information Technology and Research on Organizations Learn from Each Other? , 2001, MIS Q..

[15]  Jeanne W. Ross,et al.  The ERP Revolution: Surviving vs. Thriving , 2000, Inf. Syst. Frontiers.

[16]  F. Caeldries Reengineering the Corporation: A Manifesto for Business Revolution , 1994 .

[17]  Ping Wang,et al.  Community Learning in Information Technology Innovation , 2009, MIS Q..

[18]  David L. Deephouse,et al.  Does Isomorphism Legitimate? , 1996 .

[19]  Pamela S. Tolbert,et al.  Institutional Sources of Change in the Formal Structure of Organizations: The Diffusion of Civil Service Reform, 1880-1935 , 1983 .

[20]  Leyland F. Pitt,et al.  Potential Research Space in MIS: A Framework for Envisioning and Evaluating Research Replication, Extension, and Generation , 2002, Inf. Syst. Res..

[21]  E. Brynjolfsson,et al.  Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending , 1996 .

[22]  G. Verleden,et al.  Foreword , 1992, Steroids.

[23]  F. Damanpour Organizational Innovation: A Meta-Analysis Of Effects Of Determinants and Moderators , 1991 .

[24]  Eric Abrahamson,et al.  MANAGEMENT FASHION: LIFECYCLES, TRIGGERS, AND COLLECTIVE LEARNING PROCESSES. , 1997 .

[25]  W. Scott,et al.  Institutions and Organizations. , 1995 .

[26]  E. Burton Swanson,et al.  Innovating Mindfully with Information Technology , 2004, MIS Q..

[27]  Jintae Lee,et al.  Information technology fashions: lifecycle phase analysis , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[28]  Andrew H. Van de Ven,et al.  Running in Packs to Develop Knowledge-Intensive Technologies , 2005, MIS Q..

[29]  Jos van Hillegersberg,et al.  Enterprise resource planning: introduction , 2000, CACM.

[30]  Robert I. Sutton,et al.  The knowing-doing gap , 2000 .

[31]  Carol V. Brown,et al.  ERP Investments and the Market Value of Firms: Toward an Understanding of Influential ERP Project Variables , 2006, Inf. Syst. Res..

[32]  M. Shubik,et al.  A Behavioral Theory of the Firm. , 1964 .

[33]  Pamela S. Tolbert,et al.  The Institutionalization of Institutional Theory , 1996 .

[34]  Howard E. Aldrich,et al.  Fools Rush in? The Institutional Context of Industry Creation , 1994 .

[35]  N. Fligstein,et al.  The spread of the multidivisional form among large firms, 1919–1979 , 1985 .

[36]  Vijay Sethi,et al.  Information technology and organizational performance: A critical evaluation of Computerworld's index of information systems effectiveness , 1993, Inf. Manag..

[37]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[38]  Robert G. Fichman,et al.  Going Beyond the Dominant Paradigm for Information Technology Innovation Research: Emerging Concepts and Methods , 2004, J. Assoc. Inf. Syst..

[39]  Richard Baskerville,et al.  Fashion Waves in Information Systems Research and Practice , 2009, MIS Q..

[40]  L. Zucker Institutional Theories of Organization , 1987 .

[41]  Ping Wang,et al.  Research Directions in Information Systems: Toward an Institutional Ecology , 2008, J. Assoc. Inf. Syst..

[42]  Barry M. Staw,et al.  What Bandwagons Bring: Effects of Popular Management Techniques on Corporate Performance, Reputation, and CEO Pay , 2000 .

[43]  Everett M. Rogers,et al.  Diffusion of innovations (5. ed.) , 2003 .

[44]  Eric Abrahamson Managerial Fads and Fashions: The Diffusion and Rejection of Innovations , 1991 .

[45]  L. Godfrey,et al.  REGRESSION EQUATIONS WHEN THE REGRESSORS INCLUDE LAGGED DEPENDENT VARIABLES , 1978 .

[46]  Chris F. Kemerer,et al.  The Illusory Diffusion of Innovation: An Examination of Assimilation Gaps , 1999, Inf. Syst. Res..

[47]  D. C. Gash,et al.  Cultures of culture: Academics, practitioners and the pragmatics of normative control , 1988 .

[48]  Izak Benbasat,et al.  Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective , 2003, MIS Q..

[49]  Kenneth L. Kraemer,et al.  Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..