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Big data, big decisions: The impact of big data on board level decision-making
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“Similarly, it can play an essential role in complex situations that require big data processing at speed 'beyond the cognitive capabilities of even the smartest human decision-makers'.96”
From Artificial Intelligence and Sustainable Decisions (2023) · cites this paper as [96]
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Metadata
- Authors
- Merendino, A., Dibb, S., Meadows, M., Quinn, L., Wilson, D., Simkin, L., & Canhoto, A.
- Affiliations
- Coventry University (GB)
- The Open University (GB)
- Brunel University of London (GB)
- Corresponding author
- Merendino, Alessandro
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 93
- Pages
- 67-78
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W2889449516
- Cited by
- 239
- References
- 111
- Citations by year
- 2026: 24 · 2025: 34 · 2024: 30 · 2023: 43 · 2022: 26 · 2021: 39 · 2020: 31 · 2019: 10 · 2018: 2
- FWCI
- 30.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Business Research (publishedVersion)
- Brunel University Research Archive (BURA) (Brunel University London) (acceptedVersion, cc-by-nc-nd)
- Open Research Online - ORO (The Open University) (acceptedVersion)
- Pure (Coventry University) (submittedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- Brunel University Research Archive (BURA) (Brunel University London) (submittedVersion, cc-by-nc-nd)
- Funders
- Economic and Social Research Council
- Research Councils UK
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Keywords
- big data, board of directors, strategic decision-making, cognitive ability, cognitive biases, cognitive overload, knowledge-based view, dynamic capabilities, top management
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