Performance Effects of Information Technology Synergies in Multibusiness Firms

Unlike technologies that are applicable in a few specific industries, information technologies have a wide range of applicability across almost all industries. The fundamental principles of good IT management are also applicable in many industries. Thus, firms whose business units operate in different industries have an opportunity to exploit cross-unit IT synergies by applying their IT resources and management processes across multiple units. This study examines sources of cross-unit IT synergy and the conditions under which cross-unit IT synergies improve the performance of multibusiness firms. Building on the resource-based view of diversification and the economic theory of complementarities, the study identifies the relatedness and complementarity of IT resources as two major sources of cross-unit IT synergy. It argues that IT relatedness-the use of common IT infrastructure technologies and common IT management processes across business units-creates sub-additive cost synergies, whereas complementarities among IT infrastructure technologies and IT management processes create super-additive value synergies. In a sample of 356 multibusiness Fortune 1000 firms, the study finds that sub-additive cost synergies arising from the use of related IT resources or management processes do not have any effects on corporate performance, whereas the super-additive value synergies arising from the use of a complementary set of IT resources and management processes have significant effects on corporate performance. The diversification level of the firm moderates the relationship between IT synergies and corporate performance. As the diversification level increases, the performance effects of IT synergies remain positive, but they become weaker. The IT governance mode of the firm (centralized, decentralized, hybrid) does not make a difference in the performance effects of IT synergies.

[1]  Cynthia A. Montgomery,et al.  Diversification, Ricardian rents, and Tobin's q , 1988 .

[2]  D. Dillman.  Mail and internet surveys: The tailored design method, 2nd ed. , 2007 .

[3]  P. Chisnall.  Mail and Internet Surveys: The Tailored Design Method , 2007, Journal of Advertising Research.

[4]  Varun Grover,et al.  Investigating the Role of Information Technology in Building Buyer-Supplier Relationships , 2002, J. Assoc. Inf. Syst..

[5]  Hüseyin Tanriverdi,et al.  Information Technology Relatedness, Knowledge Management Capability, and Performance of Multibusiness Firms , 2005, MIS Q..

[6]  L. Willcocks,et al.  Core IS Capabilities for Exploiting Information Technology , 1998 .

[7]  J. C. Henderson.  PLUGGING INTO STRATEGIC PARTNERSHIPS: THE CRITICAL IS CONNECTION , 1990 .

[8]  Moshe Farjoun,et al.  The independent and joint effects of the skill and physical bases of relatedness in diversification , 1998 .

[9]  Sandra Slaughter.  IS INFORMATION TECHNOLOGY A "BOUNDARYLESS" PROFESSION? A SEQUENCE ANALYSIS OF THE CAREER HISTORIES OF IT PROFESSIONALS FROM 1979-1998. , 2001 .

[10]  Carol V. Brown,et al.  Reconceptualizing the Context-Design Issue for the Information Systems Function , 1998 .

[11]  Vallabh Sambamurthy,et al.  Principles and Models for Organizing the IT Function , 2002, MIS Q. Executive.

[12]  E. Brynjolfsson,et al.  Beyond Computation: Information Technology, Organizational Transformation and Business Performance , 2000 .

[13]  Radhika Santhanam,et al.  Issues in Linking Information Technology Capability to Firm Performance , 2003, MIS Q..

[14]  Robert W. Zmud,et al.  Arrangements for Information Technology Governance: A Theory of Multiple Contingencies , 1999, MIS Q..

[15]  Stephen W. Pruitt,et al.  A Simple Approximation of Tobin's Q , 1994 .

[16]  M. Porter,et al.  The Persistence of Shocks to Profitability , 1999, Review of Economics and Statistics.

[17]  D. Dillman.  Mail and internet surveys , 1999 .

[18]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[19]  Rajiv Sabherwal,et al.  Alignment Between Business and IS Strategies: A Study of Prospectors, Analyzers, and Defenders , 2001, Inf. Syst. Res..

[20]  Albert H. Segars,et al.  Value, knowledge, and the human equation: , 2000 .

[21]  Karl G. Jöreskog,et al.  Lisrel 8: User's Reference Guide , 1997 .

[22]  R. Sohi,et al.  IT competency and firm performance: is organizational learning a missing link? , 2003 .

[23]  John C. Henderson,et al.  Strategic Alignment: Leveraging Information Technology for Transforming Organizations , 1993, IBM Syst. J..

[24]  N. Venkatraman.  Performance Implications Of Strategic Coalignment: A Methodological Perspective , 1990 .

[25]  N. Venkatraman,et al.  Knowledge relatedness and the performance of multibusiness firms , 2005 .

[26]  W. Dunlap,et al.  Testing Interaction Effects in LISREL: Examination and Illustration of Available Procedures , 2001 .

[27]  James N. Baron,et al.  Strategic Human Resources: Frameworks for General Managers , 1999 .

[28]  Andrew B. Whinston,et al.  Decision support for managing organizational design dynamics , 1998, Decis. Support Syst..

[29]  K. Palepu.  Diversification strategy, profit performance and the entropy measure , 1985 .

[30]  Richard P. Bagozzi,et al.  Assessing Construct Validity in Organizational Research , 1991 .

[31]  Carol V. Brown,et al.  Designing a Process-Based IT Organization , 2003 .

[32]  M. Wade,et al.  Review: the resource-based view and information systems research: review, extension, and suggestions for future research , 2004 .

[33]  Jeanne W. Ross,et al.  From the Vendor's Perspective: Exploring the Value Proposition in Information Technology Outsourcing 1, 2 , 2003 .

[34]  Mark J. Safferstone.  Leveraging the New Infrastructure: How Market Leaders Capitalize on Information Technology , 1998 .

[35]  Ritu Agarwal,et al.  Enduring practices for managing IT professionals , 2002, CACM.

[36]  P. Weill,et al.  IT Governance , 2017 .

[37]  Anil K. Gupta,et al.  Knowledge flows within multinational corporations , 2000 .

[38]  M. Sawhney.  Don't homogenize, synchronize. , 2001, Harvard business review.

[39]  Robert W. Zmud,et al.  Research Commentary: The Organizing Logic for an Enterprise's IT Activities in the Digital Era - A Prognosis of Practice and a Call for Research , 2000, Inf. Syst. Res..

[40]  H. Marsh,et al.  Application of confirmatory factor analysis to the study of self-concept: First- and higher order factor models and their invariance across groups. , 1985 .

[41]  Carol V. Brown,et al.  Alignment of the IS Functions With the Enterprise: Toward a Model of Antecedents , 1994, MIS Q..

[42]  Paul R. Milgrom,et al.  The Economics of Modern Manufacturing: Technology, Strategy, and Organization , 1990 .

[43]  Moshe Farjoun.  Beyond Industry Boundaries: Human Expertise, Diversification and Resource-Related Industry Groups , 1994 .

[44]  Paul Milgrom,et al.  Complementarities and fit strategy, structure, and organizational change in manufacturing , 1995 .

[45]  William L. Fuerst,et al.  Information technology and sustained competitive advantage: a resource-based analysis , 1995 .

[46]  Albert H. Segars,et al.  Strategic Information Systems Planning Success: An Investigation of the Construct and Its Measurement , 1998, MIS Q..

[47]  Carol V. Brown.  Horizontal Mechanisms Under Differing IS Organization Contexts , 1999, MIS Q..

[48]  Dale Goodhue,et al.  Develop Long-Term Competitiveness through IT Assets , 1996 .

[49]  Detmar W. Straub,et al.  Validating Instruments in MIS Research , 1989, MIS Q..

[50]  J. Robins,et al.  A resource‐based approach to the multibusiness firm: Empirical analysis of portfolio interrelationships and corporate financial performance , 1995 .

[51]  Sundar G. Bharadwaj,et al.  Information Technology Effects on Firm Performance as Measured by Tobin's q , 1999 .