Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations
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Much attention is currently being paid in both the academic and practitioner literatures to the value that organisations could create through the use of big data and business analytics (Gillon et a...
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Firms that are better in transforming their operations are those that have established firm-wide practices regarding big data analytics and established a data-driven culture.
“Essentially, those firms that are better in transforming their operations are those that have established firm-wide practices regarding big data analytics and established a data-driven culture [14,17].”
From Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020) · cites this paper as [14]
In “Directions for practice” (page unavailable), the paper argues that organisations need to transform decision-making and resource-allocation processes to capture value from business analytics. It does not establish that firms better at transforming their operations have firm-wide analytics practices or a data-driven culture, nor does it make the claimed comparison between firms. (LLM, conf=0.84)
Experimental — accuracy not yet measuredFostering appropriate decision-making structures, essentially a data-driven culture, is important.
“Sharma et al. [14] underscore the importance of fostering appropriate decision-making structures, essentially enabling a data-driven culture to diffuse throughout the firm.”
From Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020) · cites this paper as [14]
The Data to insight section says organisational structures and decision-making routines can enable or constrain the generation of insights from data. The Decision to value section also suggests governance structures may need to evolve as firms rely more on analytics. These passages support the importance of appropriate structures, but do not establish that they enable a data-driven culture to diffuse throughout the firm; no page numbers are available in our copy. (LLM, conf=0.84)
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- Authors
- Sharma, R., Mithas, S., & Kankanhalli, A.
- Affiliations
- University of Wollongong (AU)
- University of Maryland, College Park (US)
- National University of Singapore (SG)
- Venue
- European Journal of Information Systems
- Publisher
- Informa UK Limited
- Published
- 2014-07
- Volume
- 23
- Issue
- 4
- Pages
- 433-441
- ISSN
- 0960-085X (ISSN-L)
- 1476-9344
- OpenAlex
- W2003813760
- Cited by
- 516
- References
- 69
- Citations by year
- 2026: 33 · 2025: 45 · 2024: 51 · 2023: 67 · 2022: 58 · 2021: 61 · 2020: 44 · 2019: 51 · 2018: 43 · 2017: 26 · 2016: 21 · 2015: 14 · 2013: 1
- FWCI
- 44.91
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Journal of Information Systems (publishedVersion)
- Research Online (University of Wollongong) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- University of Oxford
- Australian Research Council
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › Big Data and Business Intelligence
- Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
- Social Sciences › Business, Management and Accounting › Strategy and Management › Competitive and Knowledge Intelligence
- Keywords
- business analytics, big data, decision-making, organizational impact, value creation, research agenda
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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.
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