A note on big data analytics capability development in supply chain

Ashish Kumar Jha, Maher Agi and Eric W.T. Ngai
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Ashish Kumar Jha: Trinity Business School - Trinity College Dublin
Maher Agi: ESC [Rennes] - ESC Rennes School of Business
Eric W.T. Ngai: POLYU - The Hong Kong Polytechnic University [Hong Kong]

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Abstract: 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.g

Keywords: Analytics; Capability development; Qualitative study; Supply chain; Big data (search for similar items in EconPapers)
Date: 2020-11
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Citations: View citations in EconPapers (12)

Published in Decision Support Systems, 2020, 138, pp.113382. ⟨10.1016/j.dss.2020.113382⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03164004

DOI: 10.1016/j.dss.2020.113382

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