Enabling supply chain analytics for enterprise information systems: a topic modelling literature review and future research agenda

Claus Boye Asmussen; Charles Møller

doi:10.1080/17517575.2020.1734240

Enabling supply chain analytics for enterprise information systems: a topic modelling literature review and future research agenda

Claus Boye Asmussen, Charles Møller

Research output: Contribution to journal › Review article › peer-review

24 Citations (Scopus)

Abstract

This 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.

Translated title of the contribution	Muliggøre Supply Chain Analytics for enterprise information systems: En topic model literatur redegørelse og forslag til fremtidig forskning
Original language	English
Journal	Enterprise Information Systems
Volume	14
Issue number	5
Pages (from-to)	563-610
Number of pages	48
ISSN	1751-7575
DOIs	https://doi.org/10.1080/17517575.2020.1734240
Publication status	Published - 20 Mar 2020

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abstract = "This paper provides a literature review of the research within theframework 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 researchagenda. 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 thethemes of 1) context, 2) cross-functional analytics, 3) cross-planninglevel analytics, 4) implementation and assimilation of analytics inEIS, 5) analytics and big data for SCM, 6) managerial aspects ofanalytics, and 7) data and system heterogeneity.",

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AB - This paper provides a literature review of the research within theframework 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 researchagenda. 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 thethemes of 1) context, 2) cross-functional analytics, 3) cross-planninglevel analytics, 4) implementation and assimilation of analytics inEIS, 5) analytics and big data for SCM, 6) managerial aspects ofanalytics, and 7) data and system heterogeneity.

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Enabling supply chain analytics for enterprise information systems: a topic modelling literature review and future research agenda

Abstract

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Integrating Analytics with Enterprise Information Systems: Generating Value from Enterprise Data for Operations and Supply Chain Management Companies

Smart literature review: a practical topic modelling approach to exploratory literature review

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