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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”
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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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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