An assessing model for measuring ERP benefit

Songsheng Chen, Peipei Yin

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Based on the Contingency theory, using the Balanced Scorecard method, the authors first set up a set of model to measure the performance of ERP from four levels including standard, region, industry and personalization, and then design a specific system for measuring the effectiveness of ERP users. The system uses composite index measurement, which not only takes qualitative indexes into quantitative, but also quantifies the qualitative indexes as many as possible, such as the introduction of user satisfaction obtained from the questionnaire. By doing so, this study overcomes the shortcomings of too simple for some measuring models. Meanwhile, the article uses principal component analysis when measuring the weight of indexes, thus avoid the defects of relying solely on experience. So this set of index systems has great practice.

    Original languageEnglish
    Title of host publicationProceedings - 2010 International Conference on Web Information Systems and Mining, WISM 2010
    Pages379-382
    Number of pages4
    DOIs
    Publication statusPublished - 2010
    Event2010 International Conference on Web Information Systems and Mining, WISM 2010 - Sanya, China
    Duration: 23 Oct 201024 Oct 2010

    Publication series

    NameProceedings - 2010 International Conference on Web Information Systems and Mining, WISM 2010
    Volume1

    Conference

    Conference2010 International Conference on Web Information Systems and Mining, WISM 2010
    Country/TerritoryChina
    CitySanya
    Period23/10/1024/10/10

    Keywords

    • Balanced Scorecard
    • Benefit
    • ERP users
    • Value Chain theory

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    Cite this

    Chen, S., & Yin, P. (2010). An assessing model for measuring ERP benefit. In Proceedings - 2010 International Conference on Web Information Systems and Mining, WISM 2010 (pp. 379-382). Article 5662837 (Proceedings - 2010 International Conference on Web Information Systems and Mining, WISM 2010; Vol. 1). https://doi.org/10.1109/WISM.2010.16