ENTERPRISE RESOURCE PLANNING (ERP) SYSTEMS SUCCESS MEASUREMENT: AN EXTENDED MODEL

Princely Ifinedo

2006

Abstract

Enterprise Resource Planning (ERP) systems are diffusing globally, and it is important to measure the success of such software in adopting firms. Evidence suggests that firms investing huge sums of money in information systems (IS) sometimes do not assess the success of such systems for a variety of reasons, including the lack of knowledge about what to assess. Also, the IS success evaluations research area is varied, often providing little succour to practitioners. ERP systems success assessment is just beginning to surface, and this paper discusses an effort towards extending an available success measurement model. Essentially, two relevant success dimensions not included in the model proposed by Gable and colleagues (Gable et al., 2003; Sedera and Gable, 2004) were incorporated and tested using criterion analysis and structural equation modeling technique. The implications of our findings for practice and research are discussed.

References

  1. Akkermans, H., van Helden, K., 2002. Vicious and virtuous cycles in ERP implementation: a case study of interrelations between critical success factors, EJIS, 11, 35-46.
  2. Chin, W., 1998. Issues and opinion on Structural Equation Modeling, MIS Quarterly, 22, 1, vii-xvi.
  3. Chin, W., 2000. Tutorial - Partial least squares for researchers: An overview and presentation of recent advances using the PLS approach. In ICIS, Brisbane, Australia.
  4. Doll, W. J., Torkzadeh, G., 1988. The measure of end user computing satisfaction. MIS Quarterly, 12, 2, 259-274.
  5. Davenport, T., 1998. Putting the enterprise into the Enterprise System, HBR, 76, 4, 121-131.
  6. Davenport, T., 2000. Mission Critical, Harvard Business School Press, Boston, MA.
  7. DeLone, W. H., McLean, E. R. 1992. Information systems success: the quest for the dependable variable, ISR, 3, 1, 60-95.
  8. Esteves, J., Pastor. J., 2001. Enterprise resource planning systems research: An annotated bibliography, CAIS, 7, 8, 1-52.
  9. Gable G, Sedera, D., Chan T., (2003. Enterprise systems success: A measurement model. In the 24th. ICIS, 576-591.
  10. Grover, V., Jeong, S. R., Segars, A. H., 1996. Information systems effectiveness: The construct space and patterns of application, I&M, 31, 177-191.
  11. Hair, J. F. Jr., Anderson, R. E., Thatham, R. L. and Black, W. C., 1998. Multivariate Data Analysis. Prentice-Hall International, Inc., pper Saddle River, NJ.
  12. Ifinedo, P. 2005. Do Organisational-technological contingency factors influence the perception of ERP systems success? An exploratory study in the BalticNordic region of Europe. In Proceedings of 4th. IBIMA, Lisbon, Portugal.
  13. Ifinedo, P., Davidrajuh, R., 2005. Digital divide in Europe: assessing and comparing the e-readiness of a developed and an emerging economy in the Nordic region, Electronic Government: An International Journal, 2, 2, 111-133.
  14. Ives, B., Olson, M.H., Baroudi, J. J., 1983. The measure of user information satisfaction, CACM, 26, 10, 785- 793.
  15. Keen, P., 1980. MIS Research: Reference disciplines and a cumulative tradition. In the IICIS.
  16. Kerlinger, F. N., 1988. Foundation of Behavioral Research., Holt Rinehart and Winston, NY.
  17. Ko, D., Kirsch, J. L., King, W. R., 2005. Antecedents of knowledge transfer from consultants to clients in enterprise system implementations, MIS Quarterly, 29, 1, 59-85.
  18. Kumar, K., 1990. Post implementation evaluation of computer-based information systems: current practices, CACM, 33, 2, 203-212.
  19. Markus, L.., Tanis, C. , 2000. The enterprise systems experience-from adoption to success. In R.W. Zmud (Ed.) Framing the Domains of IT Research: Glimpsing the Future Through the Past, Pinnaflex Educational Resources, Inc, Cincinnati, OH.
  20. Markus, M. L., Tanis, C., Fenema, P. C., 2000. Multisite ERP implementation, CACM, 43, 4, 42-46.
  21. Myers, B. L., Kappelman, L. A., Prybutok, V. R., 1996. A case for including work group productivity measures in a comprehensive IS assessment model. In the 27th. Annual Meeting of the DSI.
  22. Myers, B. L., Kappelman, L. A., Prybutok, V. R., 1997. A comprehensive model for assessing the quality and productivity of the information systems function: Toward a theory for information systems assessment”, IRMJ, 10, 1, 6-25.
  23. Nelson, K. G., Somers, T. M., 2001. Exploring ERP success from an end-user perspective. In the 7th. AMCIS.
  24. Nunnally, J. C., 1978. Psychometric Theory, McGrawHill. New York, 2nd. edition.
  25. Saarinen, T., 1996. An expanded instrument for evaluating information system success. I&M, 31, 103-118.
  26. Seddon, P. B., 1997. A re-specification and extension of the DeLone and McLean model of IS success, ISR, l 8, 3, 240-253.
  27. Seddon, P. B., Graeser, V., Willcocks, L. P., 2002. Measuring organizational IS effectiveness: An overview and update of senior management perspectives, The DATA BASE for advances in IS, 33, 2, 11-28.
  28. Sedera, D., Gable, G. G., Palmer, A., 2002. Enterprise resources planning systems impacts: a delphi study of Australian public sector organisations. In the 6th.PACIS.
  29. Sedera, D., Gable G., Chan T., 2003a. Measuring enterprise systems success: A preliminary model. In the 9th. AMCIS, Tampa, Florida, USA.
  30. Sedera, D., Gable, G., 2004. A factor and structure equation analysis of the enterprise systems success measurement model. In the 25th. ICIS.
  31. Sehgal, R., Stewart, G., 2004. Exploring the relationship between user empowerment and enterprise system success measures. In the AMCIS.
  32. Somers, T. M., Nelson, K. G. and Ragowsky, A., 2000. Enterprise resource planning (ERP) for the next millennium: Development of an integrative framework and implications for researcher, In the 6th. AMCIS.
  33. Tan, C. W., Pan, S. L. 2002. ERP success: the search for a comprehensive framework. In the 8th. AMCIS.
  34. Wu, J., Wang, Y., 2005. Measuring ERP success: the Keyusers' viewpoint of ERP to produce a viable IS in the organization, Computers in Human Behavior. In Press.
  35. Zviran, M., Pliskin, N., Levin, R., 2005. Measuring user satisfaction and perceived usefulness in the ERP context, JCIS, 45, 3, 43-52.
Download


Paper Citation


in Harvard Style

Ifinedo P. (2006). ENTERPRISE RESOURCE PLANNING (ERP) SYSTEMS SUCCESS MEASUREMENT: AN EXTENDED MODEL . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-972-8865-41-2, pages 71-78. DOI: 10.5220/0002496400710078


in Bibtex Style

@conference{iceis06,
author={Princely Ifinedo},
title={ENTERPRISE RESOURCE PLANNING (ERP) SYSTEMS SUCCESS MEASUREMENT: AN EXTENDED MODEL},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2006},
pages={71-78},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002496400710078},
isbn={978-972-8865-41-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - ENTERPRISE RESOURCE PLANNING (ERP) SYSTEMS SUCCESS MEASUREMENT: AN EXTENDED MODEL
SN - 978-972-8865-41-2
AU - Ifinedo P.
PY - 2006
SP - 71
EP - 78
DO - 10.5220/0002496400710078