The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
From AI to digital transformation: The AI readiness framework
Open accessAbstract
Strategies and means for selecting and implementing digital technologies that realize firms’ goals in digital transformation have been extensively investigated. The recent surge in artificial intelligence (AI) technologies has amplified the need for such investigation, as they are being increasingly used in diverse organizational practices, creating not only new opportunities for digital transformation but also new challenges for managers of digital transformation processes. In this article, I present a framework intended to assist efforts to address one of the first of these challenges: assessment of organizational AI readiness—that is, an organization’s ability to deploy AI technologies to enable digital transformation, in four key dimensions: technologies, activities, boundaries, and goals. I show that this framework can facilitate analysis both of an organization’s current sociotechnical AI status and of the prospects for the technology’s fuller value-adding, sociotechnical deployment. The AI readiness framework invites fuller theorizing of the roles that AI can—and will—play in digital transformation.
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Cited by
Wang, X., Li, L., Tan, S. C., Yang, L., & Lei, J. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107798 · Cited by 336
Johnson, P. C., Laurell, C., Ots, M., & Sandström, C. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121636 · Cited by 313
Wang, S., Sun, Z., & Chen, Y. (2023) · Education and Information Technologies · doi:10.1007/s10639-022-11338-4 · Cited by 299
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
What Determines AI Adoption in Companies? Mixed-Method Evidence
Polisetty, A., Chakraborty, D., G, S., Kar, A. K., & Pahari, S. (2024) · Journal of Computer Information Systems · doi:10.1080/08874417.2023.2219668 · Cited by 128
Metadata
- Authors
- Holmström, J.
- Venue
- Business Horizons
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 65
- Issue
- 3
- Pages
- 329-339
- ISSN
- 0007-6813 (ISSN-L)
- OpenAlex
- W3139152265
- Cited by
- 401
- References
- 64
- FWCI
- 36.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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