Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/287235 
Year of Publication: 
2021
Citation: 
[Journal:] Review of Managerial Science [ISSN:] 1863-6691 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2021 [Pages:] 1-28
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
This study intends to provide scholars and practitioners with an understanding of human resource challenges in the context of Big Data Analytics (BDA). This paper provides a holistic framework of human-related capabilities that organizations must consider when implementing BDA to facilitate decision-making. For this purpose, the authors conducted a systematic literature review adapted from Tranfield et al. (BJM 14:207–222, 2003) to identify relevant studies. The 75 publications reviewed provided the sample for an inductive, and systematic data evaluation following the well-known and accepted approach introduced by Gioia et al. (ORM 16:15–31, 2012). The comprehensive review uncovered 33 first-order concepts linked to human-related capabilities, which were distilled into 15 s-order themes and then merged into five aggregated dimensions: Personnel Capability, Management Capability, Organizational Capability, Culture and Governance Capability, and Strategy and Planning Capability. The study is, to the best of the authors' knowledge, the first to categorize all relevant human-related capabilities for successful BDA application. As such, it not only provides the scientific basis for further research, but also serves as a useful overview of the critical factors for BDA use in decision-making processes.
Subjects: 
Big data analytics
Human capabilities
Big data
Decision-making
Data-driven management
JEL: 
M00
M15
M20
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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