Enabling supply chain analytics for enterprise information systems: a topic modelling literature review and future research agenda |
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Authors: | Claus Boye Asmussen Charles Møller |
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Institution: | 1. Department of Materials and Production, Center for Industrial Production, Aalborg University, Aalborg ?st, Denmarkcba@mp.aau.dk https://orcid.org/0000-0002-2998-2293;3. Department of Materials and Production, Center for Industrial Production, Aalborg University, Aalborg ?st, Denmark |
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Abstract: | ABSTRACTThis paper provides a literature review of the research within the framework of 1) analytics,2) supply chain management, and 3) enterprise information systems, and relate the findings to competitive enablers. The findings are used to construct a future research agenda. The methodology is a systematic two-stage approach, based on a Smart Literature review framework using topic modelling. The research agenda proposes future research within the themes of 1) context, 2) cross-functional analytics, 3) cross-planning level analytics, 4) implementation and assimilation of analytics in EIS, 5) analytics and big data for SCM, 6) managerial aspects of analytics, and 7) data and system heterogeneity. |
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Keywords: | Analytics EIS SCM topic Modelling literature Review research Agenda |
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