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 [9] and [30] were incorporated and tested using criterion analysis and structural equation modeling technique. The implications of the study’s findings for practice and research are discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Akkermans, H., van Helden, K.: Vicious and virtuous cycles in ERP implementation: a case study of interrelations between critical success factors. EJIS 11, 35–46 (2002)
Chin, W.: Issues and opinion on Structural Equation Modeling. MIS Quarterly 22(1), vii–xvi (1998)
Chin, W.: Tutorial - Partial least squares for researchers: An overview and presentation of recent advances using the PLS approach. In: ICIS, Brisbane, Australia (2000)
Doll, W.J., Torkzadeh, G.: The measure of end user computing satisfaction. MIS Quarterly 12(2), 259–274 (1988)
Davenport, T.: Putting the enterprise into the Enterprise System. HBR 76(4), 121–131 (1998)
Davenport, T.: Mission Critical. Harvard Business School Press, Boston, MA (2000)
DeLone, W.H., McLean, E.R.: Information systems success: the quest for the dependable variable. ISR 3(1), 60–95 (1992)
Esteves, J., Pastor, J.: Enterprise resource planning systems research: An annotated bibliography. CAIS 7(8), 1–52 (2001)
Gable, G., Sedera, D., Chan, T.: Enterprise systems success: A measurement model. In: The 24th. ICIS, pp. 576–591 (2003)
Grover, V., Jeong, S.R., Segars, A.H.: Information systems effectiveness: The construct space and patterns of application. I&M 31, 177–191 (1996)
Hair Jr., J.F., Anderson, R.E., Thatham, R.L., Black, W.C.: Multivariate Data Analysis. Prentice-Hall International, Inc., Upper Saddle River, NJ (1998)
Ifinedo, P.: Do Organisational-technological contingency factors influence the perception of ERP systems success? An exploratory study in the Baltic- Nordic region of Europe. In: Proceedings of 4th. IBIMA, Lisbon, Portugal (2005)
Ifinedo, P., Davidrajuh, R.: 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 (2005)
Ives, B., Olson, M.H., Baroudi, J.J.: The measure of user information satisfaction. CACM 26(10), 785–793 (1983)
Keen, P.: MIS Research: Reference disciplines and a cumulative tradition. In: IICIS (1980)
Kerlinger, F.N.: Foundation of Behavioral Research. Holt Rinehart and Winston (1988)
Ko, D., Kirsch, J.L., King, W.R.: Antecedents of knowledge transfer from consultants to clients in enterprise system implementations. MIS Quarterly 29(1), 59–85 (2005)
Kumar, K.: Post implementation evaluation of computer-based information systems: current practices. CACM 33(2), 203–212 (1990)
Markus, L., Tanis, C.: The enterprise systems experience–from adoption to success. In: Zmud, R.W. (ed.) Framing the Domains of IT Research: Glimpsing the Future Through the Past, Pinnaflex Educational Resources, Inc., Cincinnati, OH (2000)
Markus, M.L., Tanis, C., Fenema, P.C.: Multisite ERP implementation. CACM 43(4), 42–46 (2000)
Myers, B.L., Kappelman, L.A., Prybutok, V.R.: A case for including work group productivity measures in a comprehensive IS assessment model. In: The 27th. Annual Meeting of the DSI (1996)
Myers, B.L., Kappelman, L.A., Prybutok, V.R.: 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 (1997)
Nelson, K.G., Somers, T.M.: Exploring ERP success from an end-user perspective. In: The 7th. AMCIS (2001)
Nunnally, J.C.: Psychometric Theory, 2nd edn. McGraw-Hill, New York (1978)
Saarinen, T.: An expanded instrument for evaluating information system success. I&M 31, 103–118 (1996)
Seddon, P.B.: A re-specification and extension of the DeLone and McLean model of IS success. ISR 18(3), 240–253 (1997)
Seddon, P.B., Graeser, V., Willcocks, L.P.: Measuring organizational IS effectiveness: An overview and update of senior management perspectives. The DATA BASE for advances in IS 33(2), 11–28 (2002)
Sedera, D., Gable, G.G., Palmer, A.: Enterprise resources planning systems impacts: a delphi study of Australian public sector organisations. In: The 6th. PACIS (2002)
Sedera, D., Gable, G., Chan, T.: Measuring enterprise systems success: A preliminary model. In: The 9th. AMCIS, Tampa, Florida, USA (2003a)
Sedera, D., Gable, G.: A factor and structure equation analysis of the enterprise systems success measurement model. In: The 25th. ICIS (2004)
Sehgal, R., Stewart, G.: Exploring the relationship between user empowerment and enterprise system success measures. In: The AMCIS (2004)
Somers, T.M., Nelson, K.G., Ragowsky, A.: Enterprise resource planning (ERP) for the next millennium: Development of an integrative framework and implications for researcher. In: The 6th. AMCIS (2000)
Tan, C.W., Pan, S.L.: ERP success: the search for a comprehensive framework. In: The 8th. AMCIS (2002)
Wu, J., Wang, Y.: Measuring ERP success: the Key-users’ viewpoint of ERP to produce a viable IS in the organization, Computers in Human Behavior (2005)
Zviran, M., Pliskin, N., Levin, R.: Measuring user satisfaction and perceived usefulness in the ERP context. JCIS 45(3), 43–52 (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ifinedo, P. (2008). Measuring Enterprise Resource Planning (ERP) Systems Success: A Structural Equation Modeling Approach. In: Manolopoulos, Y., Filipe, J., Constantopoulos, P., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2006. Lecture Notes in Business Information Processing, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77581-2_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-77581-2_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77580-5
Online ISBN: 978-3-540-77581-2
eBook Packages: Computer ScienceComputer Science (R0)