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Measuring Enterprise Resource Planning (ERP) Systems Success: A Structural Equation Modeling Approach

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Enterprise Information Systems (ICEIS 2006)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 3))

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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.

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Authors and Affiliations

  1. Department of Financial and Information Management, Shannon School of Business, Cape Breton University, Sydney, Nova Scotia, Canada

    Princely Ifinedo

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  1. Princely Ifinedo
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Yannis Manolopoulos Joaquim Filipe Panos Constantopoulos José Cordeiro

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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

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  • 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)

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