ERP adoption and use in production research: An archival analysis and future research directions

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Abstract

The enterprise resource planning (ERP) adoption and use phenomenon has attracted much of the attention of production researchers over the last two to three decades. Through a systematic literature review, the purpose of this paper is to conduct a detailed examination of the investigation of ERP adoption and use in production research, more specifically. The paper provides a synthetic view of the various research approaches and designs having been used and presents an overview of the studied: vendors/systems, ERP deployment types, implementation outcomes, benefits, critical success factors, risk factors and effects based on identified 61 articles. Further research directions are proposed including the urgent need for researchers to examine ERP implementation with regards to IoT, big data analytics, machine learning and blockchain. The contribution of this study lies in the provided taxonomy, the detailed description of classifications, the adopted methodology, and the identification of research gaps.

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Fosso Wamba, S., Kala Kamdjoug, J. R., Akter, S., & Carillo, K. (2018). ERP adoption and use in production research: An archival analysis and future research directions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11195 LNCS, pp. 539–556). Springer Verlag. https://doi.org/10.1007/978-3-030-02131-3_47

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