How business process reengineering affects information technology investment and employee performance under different performance measurement

Business Process Reengineering (BPR) is an approach for business process transformation and unconstrained reshaping of all business processes. This study examines the impact of BPR on information technology (IT) investment and employee performance. In this study, it is considered to be likely that employee performance will be improved by performance measurement, and thus, we intend to set up a performance measurement process which is similar to the employee’s goal setting. To this end, this study examines the relationship existed between performance measurement and performance. The obtained results show a positive relation existing between IT and BPR implementation, and employee performance and BPR implementation. Moreover, the empirical result supports that performance measurement associated with cost reduction and lead time shortening in the internal processes and quality improvement in the external processes can improve the performance.

[1]  G. D. Wagenheim,et al.  Customer Service in Public Administration , 1991 .

[2]  Deborah Compeau,et al.  Application of Social Cognitive Theory to Training for Computer Skills , 1995, Inf. Syst. Res..

[3]  R. Sitgreaves Psychometric theory (2nd ed.). , 1979 .

[4]  Wynne W. Chin,et al.  Structural equation modeling analysis with small samples using partial least squares , 1999 .

[5]  M. Hammer,et al.  REENGINEERING THE CORPORATION: A MANIFESTO FOR BUSINESS REVOLUTION , 1995 .

[6]  Katherine C. Naff Labor-Management Relations and Privatization: A Federal Perspective , 1991 .

[7]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[8]  J. Hair Multivariate data analysis , 1972 .

[9]  John Gattorna,et al.  Supply Chain Cybermastery: Building High Performance Supply Chains of the Future , 2001 .

[10]  WenAn Tan,et al.  An approach to enterprise process dynamic modeling supporting enterprise process evolution , 2008, Inf. Syst. Frontiers.

[11]  Rolph E. Anderson,et al.  Multivariate Data Analysis (7th ed. , 2009 .

[12]  Robert S. Kaplan,et al.  Advanced Management Accounting , 1989 .

[13]  H. Kaiser An index of factorial simplicity , 1974 .

[14]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[15]  Y. Ozcelik Do business process reengineering projects payoff? Evidence from the United States , 2010 .

[16]  Angappa Gunasekaran,et al.  The role of information technology in business process reengineering , 1997 .

[17]  Dennis Lock Book reviewBenchmarking: Sylvia Codling, Gower, Aldershot, 1998, 192pp. ISBN: 0 566 07926 7 (paperback), £25.00 , 2001 .

[18]  Saumyendu Ghosh,et al.  Enterprise resource planning systems implementation as a complex project: A conceptual framework , 2010 .

[19]  Nigel Melville,et al.  Information technology infrastructure, organizational process redesign, and business value: An empirical analysis , 2010, Decis. Support Syst..

[20]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[21]  Mohamed Zairi,et al.  BPR implementation process: an analysis of key success and failure factors , 1999, Bus. Process. Manag. J..

[22]  Mohsen Attaran,et al.  Exploring the relationship between information technology and business process reengineering , 2004, Inf. Manag..

[23]  Angappa Gunasekaran,et al.  Evolving role of business process reengineering: a perspective of employers , 2009 .

[24]  G. Latham,et al.  A Review of Research on the Application of Goal Setting in Organizations , 1975 .

[25]  Tor Guimaraes,et al.  Empirically assessing the impact of BPR on manufacturing firms , 1996 .

[26]  Hamid Reza Ahadi,et al.  An Examination of the Role of Organizational Enablers in Business Process Reengineering and the Impact of Information Technology , 2004, Inf. Resour. Manag. J..

[27]  Yasin Ozcelik,et al.  IT-Enabled Reengineering: Productivity Impacts , 2010 .

[28]  Henry L. Tosi A Theory of Goal Setting and Task Performance , 1991 .

[29]  D. Larcker,et al.  STRUCTURAL EQUATION MODELS WITH UNOBSERVABLE VARIABLES AND MEASUREMENT ERROR , 1981 .

[30]  Narcyz Roztocki,et al.  Investments in enterprise integration technology: An event study , 2013, Information Systems Frontiers.

[31]  R. Hoyle Statistical Strategies for Small Sample Research , 1999 .

[32]  Peter Dadam,et al.  On enabling integrated process compliance with semantic constraints in process management systems , 2012, Inf. Syst. Frontiers.

[33]  George A. Marcoulides,et al.  Modern methods for business research , 1998 .

[34]  E. A. Locke,et al.  Building a practically useful theory of goal setting and task motivation. A 35-year odyssey. , 2002, The American psychologist.

[35]  E. A. Locke,et al.  New Directions in Goal-Setting Theory , 2006 .

[36]  Wynne W. Chin,et al.  Adoption intention in GSS: relative importance of beliefs , 1995, DATB.