TY - JOUR
T1 - Enabling supply chain analytics for enterprise information systems
T2 - a topic modelling literature review and future research agenda
AU - Asmussen, Claus Boye
AU - Møller, Charles
PY - 2020/3/20
Y1 - 2020/3/20
N2 - 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.
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.
KW - Supply chain analytics, topic modelling, literature review, scm, research agenda
UR - http://www.scopus.com/inward/record.url?scp=85082189203&partnerID=8YFLogxK
U2 - 10.1080/17517575.2020.1734240
DO - 10.1080/17517575.2020.1734240
M3 - Review article
AN - SCOPUS:85082189203
SN - 1751-7575
VL - 14
SP - 563
EP - 610
JO - Enterprise Information Systems
JF - Enterprise Information Systems
IS - 5
ER -