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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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“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]
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“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]
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Citations
Cites
Henderson, R. M., & Clark, K. B. (1990) · Administrative Science Quarterly · doi:10.2307/2393549 · Cited by 8,563
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
Rational choice and the structure of the environment.
Simon, H. A. (1956) · Psychological Review · doi:10.1037/h0042769 · Cited by 5,919
Administrative Behavior: A Study of Decision-Making Processes in Administrative Organization.
Brown, M., & Simon, H. A. (1978) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2065048 · Cited by 4,807
(2007) · Cited by 3,434
Sambamurthy, V., Bharadwaj, A. S., & Grover, V. (2003) · MIS Quarterly · doi:10.2307/30036530 · Cited by 3,418
Contributing Knowledge to Electronic Knowledge Repositories: An Empirical Investigation1
Kankanhalli, A., Tan, B. C. Y., & Wei, K. (2005) · MIS Quarterly · doi:10.2307/25148670 · Cited by 2,831
Self-citationLeadership and Decision-Making
Vroom, V. H., & Yetton, P. (1973) · University of Pittsburgh Press eBooks · doi:10.2307/j.ctt6wrc8r · Cited by 2,533
A primer on decision making : how decisions happen
Heath, C., & March, J. G. (1994) · Medical Entomology and Zoology · Cited by 2,404
(2018) · MIS Quarterly Executive · doi:10.17705/2msqe · Cited by 1,994
Research works printed but not linked: 10
- Anderson-Lehman R, 2004, MISQ Executive, 3, 163
- Goodhue DL, 2002, MISQ Executive, 1, 79
- Hogarth RM, 1987, Judgement and Choice, 204
- Kohli R, 2007, MIS Quarterly Executive, 6, 199
- LaValle S, 2011, MIT Sloan Management Review, 52, 21
- Markus LM, 2000, Framing the Domains of IT Management: Projecting the Future through the Past, 173
- Sasisekharan R, 1996, IEEE Expert Intelligent Systems and Their Applications, 11, 37
- Sharma R, 2010, Bridging the Socio-Technical Gap in DSS - Challenges for the Next Decade, 187
- Simoudis E, 1996, IEEE Expert Intelligent Systems and Their Applications, 11, 26
- Watson HJ, 2001, Communications of the AIS, 8, 1
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Metadata
- 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
- 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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