The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations
Open accessAbstract
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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Cited by
Sorted by citations
Wang, Y., Kung, L., & Byrd, T. A. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.12.019 · Cited by 1,571
Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020) · Information & Management · doi:10.1016/j.im.2019.05.004 · Cited by 1,373
“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].”
BackgroundDebating big data: a literature review on realizing value from big data
Günther, W. A., Rezazade Mehrizi, M. H., Huysman, M., & Feldberg, F. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.07.003 · Cited by 880
Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019) · British Journal of Management · doi:10.1111/1467-8551.12343 · Cited by 835
Big data analytics and firm performance: Findings from a mixed-method approach
Mikalef, P., Boura, M., Lekakos, G. D., & Krogstie, J. (2019) · Journal of Business Research · doi:10.1016/j.jbusres.2019.01.044 · Cited by 819
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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