Start Date
11-8-2016
Description
This paper focuses on Big Data (BD) applications, challenges and benefits (ACBs) in Supply Chain Management (SCM). While BD-related research has attracted a growing number of Business Intelligence and Analytics (BI&A) researchers, SCM-specific research on BD is yet to receive their full attention. By combining relevant frameworks from SCM and BI&A, this paper proposes a new research framework for BD in SCM. The combined framework is then used to identify, classify and analyze ACBs of BD in SCM, using insights from a multi-disciplinary literature review from the fields of BI&A and SCM. Based on the main research findings the paper also suggests further SCM-specific research related to BD, by identifying synergies across business functions and value dimensions of SCM.
Recommended Citation
Kynast, Moritz and Marjanovic, Olivera, "Big Data in Supply Chain Management – Applications, Challenges and Benefits" (2016). AMCIS 2016 Proceedings. 24.
https://aisel.aisnet.org/amcis2016/DigitalComm/Presentations/24
Big Data in Supply Chain Management – Applications, Challenges and Benefits
This paper focuses on Big Data (BD) applications, challenges and benefits (ACBs) in Supply Chain Management (SCM). While BD-related research has attracted a growing number of Business Intelligence and Analytics (BI&A) researchers, SCM-specific research on BD is yet to receive their full attention. By combining relevant frameworks from SCM and BI&A, this paper proposes a new research framework for BD in SCM. The combined framework is then used to identify, classify and analyze ACBs of BD in SCM, using insights from a multi-disciplinary literature review from the fields of BI&A and SCM. Based on the main research findings the paper also suggests further SCM-specific research related to BD, by identifying synergies across business functions and value dimensions of SCM.