Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice
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HRM (AI) assimilation serving as a capacity building framework may enhance HRAC by absorbing large amounts of data (volume), maintaining structural heterogeneity (variety), enhancing the speed of data generation (velocity), ensuring data quality (veracity), and reaping economic benefits (value) of big data.
“Thus, HRM (AI) assimilation serving as capacity building framework may enhance HRAC by absorbing large amounts of the data (volume), maintaining structural heterogeneity (variety), enhancing the speed of data generation (velocity), ensuring data quality (veracity), and reaping economic benefits (value) of big data (Arunachalam et al., 2018).”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Arunachalam et al., 2018
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- Authors
- Arunachalam, D., Kumar, N., & Kawalek, J. P.
- Affiliations
- University of Sheffield (GB)
- Corresponding author
- Kumar, Niraj
- Venue
- Transportation Research Part E: Logistics and Transportation Review
- Publisher
- Elsevier BV
- Published
- 2018-06
- Volume
- 114
- Pages
- 416-436
- ISSN
- 1366-5545 (ISSN-L)
- OpenAlex
- W2616178334
- Cited by
- 535
- References
- 9
- Citations by year
- 2026: 39 · 2025: 53 · 2024: 80 · 2023: 88 · 2022: 73 · 2021: 79 · 2020: 58 · 2019: 40 · 2018: 21 · 2017: 2 · 2015: 1
- FWCI
- 53.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Part E Logistics and Transportation Review (publishedVersion)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Open Access at Essex (University of Essex) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- big data analytics, supply chain management, analytics capability, supply chain performance
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