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A Survey Instrument for Identification of the Critical Success Factors for the Successful ERP Implementation at Indian SMEs

A Survey Instrument for Identification of the Critical Success Factors for the Successful ERP Implementation at Indian SMEs

L. Ganesh, Arpita Mehta
Copyright: © 2013 |Volume: 4 |Issue: 3 |Pages: 16
ISSN: 1947-9247|EISSN: 1947-9255|EISBN13: 9781466633957|DOI: 10.4018/jcrmm.2013070105
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MLA

Ganesh, L., and Arpita Mehta. "A Survey Instrument for Identification of the Critical Success Factors for the Successful ERP Implementation at Indian SMEs." IJCRMM vol.4, no.3 2013: pp.72-87. http://doi.org/10.4018/jcrmm.2013070105

APA

Ganesh, L. & Mehta, A. (2013). A Survey Instrument for Identification of the Critical Success Factors for the Successful ERP Implementation at Indian SMEs. International Journal of Customer Relationship Marketing and Management (IJCRMM), 4(3), 72-87. http://doi.org/10.4018/jcrmm.2013070105

Chicago

Ganesh, L., and Arpita Mehta. "A Survey Instrument for Identification of the Critical Success Factors for the Successful ERP Implementation at Indian SMEs," International Journal of Customer Relationship Marketing and Management (IJCRMM) 4, no.3: 72-87. http://doi.org/10.4018/jcrmm.2013070105

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Abstract

Many quantitative and qualitative studies have been conducted on Enterprise Resource Planning (ERP) implementation in Large Enterprise (LEs) and Small and Medium-size Enterprises (SMEs) to capture the full benefits of ERP systems, but a survey instrument for identification of the Critical Success Factors (CSFs) that contribute in the success of ERP implementation at Indian SMEs still does not exist. This paper develops an ERP implementation success survey instrument (questionnaire) by identifying thirty CSFs for the success of ERP implementation at Indian SMEs. This paper proposes a framework in terms of one scenario to explore the 30 CSFs that determine the success of ERP implementation at Indian SMEs. A quantitative survey based method was used to collect the data from the Indian ERP consultants (respondents). The data collected were analyzed using statistical techniques. Respondents are required to respond to each item (statement) on a Likert five point scale of agreement and disagreement. Whole questionnaire is divided in to five parts Cover Letter, General Proforma, Conceptual Framework, Survey Items and One open ended question supported by thank you letter. Findings are discussed for the future work to bridge the current literature gap and provide practical advice for both ERP academics and practitioners.

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