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Artificial Intelligence and Business Strategy towards Digital Transformation: A Research Agenda
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In the past decade, current literature and businesses have drawn attention to Artificial Intelligence (AI) tools and in particular to the advances in machine learning techniques. Nevertheless, while the AI technology offers great potential to solve difficulties, challenges remain implicated in practical implementation and lack of expertise in the strategic usage of AI to create business value. This paper aims to implement a systematic literature review analyzing convergence of the AI and corporate strategy and develop a theoretical model incorporating issues based on the existing research in this field. Eighty-one peer-reviewed articles were discussed on the basis of research methodology from Webster and Watson (2002). In addition to gaps in future research, a theoretical model is developed, discussing the four sources of value creation: AI and Machine Learning in organizations; alignment of AI tools and Information Technology (IT) with organizational strategy; AI, knowledge management and decision-making process; and AI, service innovation and value. These outcomes lead to both theoretical and managerial viewpoints, with extensive possibilities to generate new methods and types of management practices.
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“Recent research on the role of strategy in digital trans formation comprises mainly conceptual and systematic reviews (Hanelt et al., 2020; Saleh and Awny, 2020; Kitsios and Kamariotou, 2021).”
From Mastering digital transformation: The nexus between leadership, agility, and digital strategy (2022) · cites this paper as Kitsios and Kamariotou, 2021
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Research works printed but not linked: 3
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Mastering digital transformation: The nexus between leadership, agility, and digital strategy
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The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations
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Self-citation
Metadata
- Authors
- Kitsios, F., & Kamariotou, M.
- Affiliations
- University of Macedonia (GR)
- Corresponding author
- Kamariotou, Maria
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2021-02-13
- Volume
- 13
- Issue
- 4
- Pages
- 2025
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3130265534
- Cited by
- 360
- References
- 99
- Citations by year
- 2026: 62 · 2025: 98 · 2024: 91 · 2023: 68 · 2022: 28 · 2021: 13
- FWCI
- 17.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (acceptedVersion)
- Funders
- Hellenic Foundation for Research and Innovation (188)
- 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 › Management of Technology and Innovation › Digital Innovation in Industries
- Keywords
- artificial intelligence, business strategy, digital transformation, machine learning, value creation, IT strategy alignment, knowledge management, decision-making, service innovation, AI implementation challenges
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