A note on big data analytics capability development in supply chain

Big data analytics (BDA) are gaining importance in all aspects of business management. This is driven by both the presence of large-scale data and management's desire to root decisions in data. Extant research demonstrates that supply chain and operations management functions are among the bigg...

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Bibliographic Details
Published in:Decision Support Systems 2020-11, Vol.138, p.113382, Article 113382
Main Authors: Jha, Ashish Kumar, Agi, Maher A.N., Ngai, Eric W.T.
Format: Article
Language:English
Subjects:
Analytics
Big Data
Business administration
Business competition
Capability development
Data analysis
Decision making
Humanities and Social Sciences
Mathematical analysis
Operations management
Qualitative analysis
Qualitative study
Resource management
Supply chain
Supply chains
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Summary:Big data analytics (BDA) are gaining importance in all aspects of business management. This is driven by both the presence of large-scale data and management's desire to root decisions in data. Extant research demonstrates that supply chain and operations management functions are among the biggest sources and users of data in the company. Therefore, their decision-making processes would benefit from increased use of BDA technologies. However, there is still a lack of understanding of what determines a company's ability to build BDA capability to gain a competitive advantage. In this study, we attempt to answer this fundamental question by identifying the factors that assist a company in or inhibit it from building its BDA capability and maximizing its gains through BDA technologies. We base our findings on a qualitative analysis of data collected from field visits, interviews with senior management, and secondary resources. We find that, in addition to technical capacity, competitive landscape and intra-firm power dynamics play an important role in building BDA capability and using BDA technologies. •We have found the contributing factors for BDA capability development in SCM divisions.•These include resource alignment, environmental determinism and organizational politics.•We have reported testable propositions for empirical validation of this exploratory study.•Results based on interview data collected from enterprises in France and India
ISSN:0167-9236
1873-5797
DOI:10.1016/j.dss.2020.113382