Cited by 72Artificial Intelligence ApplicationsInformation Technology Governance and StrategyInnovation and Knowledge Management

Developing an Artificial Intelligence Capability: A Theoretical Framework for Business Value

Open access
Mikalef, Patrick, Fjørtoft, Siw Olsen, Torvatn, Hans Yngvar·2019·Lecture Notes in Business Information Processing

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Crossref · 10.1007/978-3-030-36691-9_34

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6 of 6 references verified0 citation errors · 0 not checkable

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  • Organisations often find it difficult to integrate AI within their business processes and systems, which often inhibits AI adoption.

    “research has found that organisations often find it difficult to integrate AI within their business processes and systems, which often inhibits AI adoption (Davenport and Ronanki, 2018;Mikalef., et al., 2019).”

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Authors
Mikalef, P., Fjørtoft, S. O., & Torvatn, H. Y.
Affiliations
  • Norwegian University of Science and Technology (NO)
  • SINTEF Digital (NO)
Corresponding author
Mikalef, Patrick
Venue
Lecture Notes in Business Information Processing
Published
2019
Pages
409-416
ISSN
  • 1865-1348 (ISSN-L)
  • 1865-1356
OpenAlex
W2995432247
Cited by
72
References
6
Citations by year
2026: 8 · 2025: 19 · 2024: 13 · 2023: 12 · 2022: 10 · 2021: 8 · 2020: 2
FWCI
1.87
Type
conference paper
Language
en
Open access
Locations
  • Lecture notes in business information processing (publishedVersion)
  • NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • 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
AI capabilities, business value of AI, resource-based view, complementary resources, AI adoption barriers, theoretical framework

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