An Empirical Study of Operational Performance Parity Following Enterprise System Deployment

This paper presents an empirical investigation into whether the implementation of packaged Enterprise Systems (ES) leads to parity in operational performance. Performance change and parity in operational performance are investigated in three geographically defined operating regions of a single firm. Order lead time, the elapsed time between receipt of an order and shipment to a customer, is used as a measure of operational performance. A single ES installation was deployed across all regions of the subject firm’s operations. Findings illustrate parity as an immediate consequence of ES deployment. However, differences in rates of performance improvement following deployment eventually result in significant (albeit smaller than pre-deployment) performance differences. An additional consequence of deployment seems to be an increased synchronization of performance across the formerly independent regions.

[1]  Peter Weill,et al.  The Relationship Between Investment in Information Technology and Firm Performance: A Study of the Valve Manufacturing Sector , 1992, Inf. Syst. Res..

[2]  Gary P. Pisano,et al.  ITT Automotive: Global Manufacturing Strategy (1994) , 1994 .

[3]  Linda Argote,et al.  An Empirical Investigation of the Microstructure of Knowledge Acquisition and Transfer Through Learning by Doing , 1996, Oper. Res..

[4]  Nicholas G. Carr,et al.  Does IT Matter? Information Technology and the Corrosion of Competitive Advantage , 2004 .

[5]  Leslie P. Willcocks,et al.  Enterprise resource planning: the role of the CIO and it function in ERP , 2000, CACM.

[6]  Elliot Bendoly,et al.  Order Lead-Time Improvement Following Enterprise Information Technology Implementation: An Empirical Study , 2006, MIS Q..

[7]  Gary P. Pisano,et al.  Organizational Differences in Rates of Learning: Evidence from the Adoption of Minimally Invasive Cardiac Surgery , 2001, Manag. Sci..

[8]  Elliot Bendoly,et al.  Business technology complementarities: impacts of the presence and strategic timing of ERP on B2B e-commerce technology efficiencies , 2004 .

[9]  Noah Webster,et al.  Webster's New World dictionary of the American language , 1953 .

[10]  George Tagaras,et al.  Pooling in multi-location periodic inventory distribution systems , 1999 .

[11]  J. Michael Tarn,et al.  An applied model for improving inventory management in ERP systems , 2003 .

[12]  Elliot Bendoly,et al.  Order Lead-time Improvement Following Enterprise-IT Implementation: An Empirical Study , 2005 .

[13]  D. J. Wu,et al.  Investment in Enterprise Resource Planning: Business Impact and Productivity Measures , 2002, J. Manag. Inf. Syst..

[14]  J. Neter,et al.  Applied linear statistical models : regression, analysis of variance, and experimental designs , 1974 .

[15]  D. Cox,et al.  An Analysis of Transformations , 1964 .

[16]  Arnold Reisman,et al.  Toward meta research on technology transfer , 1992 .

[17]  L. Willcocks,et al.  Second-Wave Enterprise Resource Planning Systems: The Role of the CIO and IT Functions in ERP , 2000 .

[18]  M. Gibson,et al.  Beyond ANOVA: Basics of Applied Statistics. , 1986 .

[19]  Angela Lin,et al.  Mission Critical: Realizing the Promise of Enterprise Systems , 2001 .

[20]  Heeseok Lee,et al.  Enterprise resource planning survey of Korean manufacturing firms , 2006 .

[21]  Lorin M. Hitt,et al.  Beyond the productivity paradox , 1998, CACM.

[22]  Adedeji Badiru,et al.  Computational survey of univariate and multivariate learning curve models , 1992 .

[23]  P. Lawrence,et al.  Organization and environment , 1967 .

[24]  P. Chang,et al.  On the Effect of Centralization on Expected Costs in a Multi-Location Newsboy Problem , 1991 .

[25]  K. Clark,et al.  Dynamic Manufacturing: Creating the Learning Organization , 1988 .

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

[27]  A. Scheer,et al.  Making ERP a Success. , 2000 .

[28]  Lorin M. Hitt,et al.  Beyond the Productivity Paradox: Computers are the Catalyst for Bigger Changes , 1998 .

[29]  Steven Nahmias,et al.  Production and operations analysis , 1992 .

[30]  Elliot Bendoly,et al.  Enterprise resource planning: Developments and directions for operations management research , 2003, Eur. J. Oper. Res..

[31]  August-Wilhelm Scheer,et al.  Enterprise resource planning: making ERP a success , 2000, CACM.

[32]  Kim B. Clark,et al.  Behind the learning curve: a sketch of the learning process , 1991 .

[33]  R. H. Connery,et al.  Processes of organization and management , 1948 .

[34]  Kenneth L. Kraemer,et al.  International dimensions of the productivity paradox , 1998, CACM.

[35]  Rajiv D. Banker,et al.  Work-Team Implementation and Trajectories of Manufacturing Quality: A Longitudinal Field Study , 2000, Manuf. Serv. Oper. Manag..

[36]  G. D. Eppen.  Note---Effects of Centralization on Expected Costs in a Multi-Location Newsboy Problem , 1979 .

[37]  Thomas L. Landers,et al.  The virtual warehousing concept , 2000 .

[38]  Louis E. Yelle.  THE LEARNING CURVE: HISTORICAL REVIEW AND COMPREHENSIVE SURVEY , 1979 .

[39]  E. L. Nichols,et al.  AN EXAMINATION OF CULTURAL COMPETITIVENESS AND ORDER FULFILLMENT CYCLE TIME WITHIN SUPPLY CHAINS , 2002 .