The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.
The role of information governance in big data analytics driven innovation
Open accessAbstract
The age of big data analytics is now here, with companies increasingly investing in big data initiatives to foster innovation and outperform competition. Nevertheless, while researchers and practitioners started to examine the shifts that these technologies entail and their overall business value, it is still unclear whether and under what conditions they drive innovation. To address this gap, this study draws on the resource-based view (RBV) of the firm and information governance theory to explore the interplay between a firm’s big data analytics capabilities (BDACs) and their information governance practices in shaping innovation capabilities. We argue that a firm’s BDAC helps enhance two distinct types of innovative capabilities, incremental and radical capabilities, and that information governance positively moderates this relationship. To examine our research model, we analyzed survey data collected from 175 IT and business managers. Results from partial least squares structural equation modelling analysis reveal that BDACs have a positive and significant effect on both incremental and radical innovative capabilities. Our analysis also highlights the important role of information governance, as it positively moderates the relationship between BDAC’s and a firm’s radical innovative capability, while there is a nonsignificant moderating effect for incremental innovation capabilities. Finally, we examine the effect of environmental uncertainty conditions in our model and find that information governance and BDACs have amplified effects under conditions of high environmental dynamism.
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“There is, however, a gap in AI governance, which deals with both IT governance and data governance, and has a direct relationship with AI (Mikalef et al., 2020).”
From Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes (2023) · cites this paper as Mikalef et al., 2020
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“resources represent the input of the production process, while a capability is the potential to deploy these resources to improve productivity and generate rents [21,22].”
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- Kiron, 2017, Lessons from becoming a data-driven organization, MIT sloan management rev., 58
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Mikalef, P., & Gupta, M. (2021) · Information & Management · doi:10.1016/j.im.2021.103434 · Cited by 1,700
Self-citationDwivedi, Y. K., Hughes, L., Kar, A. K., Baabdullah, A. M., Grover, P., Abbas, R., Andreini, D., Abumoghli, I., Barlette, Y., Bunker, D., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102456 · Cited by 761
Multigroup analysis of more than two groups in PLS-SEM: A review, illustration, and recommendations
Cheah, J., Amaro, S., & Roldán, J. L. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.113539 · Cited by 465
Applications of big data in emerging management disciplines: A literature review using text mining
Kushwaha, A. K., Kar, A. K., & Dwivedi, Y. K. (2021) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2021.100017 · Cited by 255
Toward AI Governance: Identifying Best Practices and Potential Barriers and Outcomes
Papagiannidis, E., Enholm, I. M., Dremel, C., Mikalef, P., & Krogstie, J. (2023) · Information Systems Frontiers · doi:10.1007/s10796-022-10251-y · Cited by 191
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Metadata
- Authors
- Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J.
- Affiliations
- Norwegian University of Science and Technology (NO)
- Athens University of Economics and Business (GR)
- Corresponding author
- Mikalef, Patrick
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 57
- Issue
- 7
- Pages
- 103361
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W3049164745
- Cited by
- 260
- References
- 106
- Citations by year
- 2026: 30 · 2025: 51 · 2024: 63 · 2023: 44 · 2022: 44 · 2021: 26 · 2020: 2
- FWCI
- 32.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Information & Management (publishedVersion, cc-by)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- Funders
- Athens University of Economics and Business
- 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 › Innovation and Knowledge Management
- Keywords
- information governance, big data analytics capability, innovation ability, incremental innovation, radical innovation, resource-based view, environmental uncertainty, environmental dynamism, moderating effect, big data analytics
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