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Cited by 760Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and SocietyInformation Technology Governance and Strategy

The DOI matches its Crossref record; 163 of the 169 references it cites were found in a registry or an index.

The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions

Borges, Aline F.S., Laurindo, Fernando J.B., Spínola, Mauro M., Gonçalves, Rodrigo F., Mattos, Claudia A.·2021·International Journal of Information Management
DOI 10.1016/j.ijinfomgt.2020.102225
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Abstract

Artificial Intelligence tools have attracted attention from the literature and business organizations in the last decade, especially by the advances in machine learning techniques. However, despite the great potential of AI technologies for solving problems, there are still issues involved in practical use and lack of knowledge as regards using AI in a strategic way, in order to create business value. In this context, the present study aims to fill this gap by: providing a critical literature review related to the integration of AI to organizational strategy; synthetizing the existing approaches and frameworks, highlighting the potential benefits, challenges and opportunities; presenting a discussion about future research directions. Through a systematic literature review, research articles were analyzed. Besides gaps for future studies, a conceptual framework is presented, discussed according to four sources of value creation: (i) decision support; (ii) customer and employee engagement; (iii) automation; and (iv) new products and services. These findings contribute to both theoretical and managerial perspectives, with extensive opportunities for generating novel theory and new forms of management practices.

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Crossref · 10.1016/j.ijinfomgt.2020.102225

Cites

163 of 163 references verified0 citation errors · 0 not checkable

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Citations

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1 retracted

Show all 169 references

Research works printed but not linked: 18

  1. Barro, 2019, People and machines: Partners in innovation, MIT Sloan Management Review, 60, 22
  2. Bean, 2019, Why fear of disruption is driving investment in AI, MIT Sloan Management Review
  3. Brynjolfsson, 2017, Artificial intelligence, for real, Harvard Business Review
  4. Brynjolfsson, 2017, What’s driving the Machine Learning explosion?, Harvard Business Review, 18
  5. Bughin, 2019, 3 digital strategies for companies that have fallen behind, Harvard Business Review, 2
  6. Chakravorti, 2019, Which countries ate leading the data economy?, Harvard Business Review
  7. Davenport, 2017, Competing on analytics: Updated, with a new introduction: The new science of winning, Harvard Business Review Press
  8. Elacio, 2020, Digital transformation in managing employee retention using agile and C4.5 algorithm, Test Engineering and Management, 82, 15217
  9. Fountaine, 2019, Building the AI-powered organization, Harvard Business Review
  10. Henderson, 1989, The origin of strategy, Harvard Business Review, 139
  11. Kiron, 2019, Strategy for and with AI, MIT Sloan Management Review, 60, 30
  12. Lyall, 2018, The death of supply chain management, Harvard Business Review, 1
  13. Masa’deh, 2012, Intermediary effects of knowledge management strategy and learning orientation on strategic alignment and firm performance, Research Journal of International Studies, 112
  14. McFarlan, 1984, Information Technology changes the way you compete, Harvard Business Review, 62, 98
  15. Moghekar, 2019, Face recognition: Literature review with emphasis on deep learning, Journal of Theoretical and Applied Information Technology, 97, 3332
  16. Sezer, 2020, Financial time series forecasting with deep learning: A systematic literature review: 2005–2019, Applied Soft Computing Journal, 90, 10.1016/j.asoc.2020.106181 · DOI
  17. Westerman, 2014, The nine elements of digital transformation, MIT Sloan Management Review, 55, 1
  18. Wilson, 2018, Collaborative intelligence: Humans and AI are joining forces, Harvard Business Review, 96, 114

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Metadata

Authors
Borges, A. F. S., Laurindo, F. J. B., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A.
Affiliations
  • Universidade de São Paulo (BR)
  • Universidade Paulista (BR)
ORCID
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2021-04
Volume
57
Pages
102225
ISSN
0268-4012 (ISSN-L)
DOI
10.1016/j.ijinfomgt.2020.102225
OpenAlex
W3085480867
Cited by
760
References
169
Citations by year
2026: 112 · 2025: 163 · 2024: 193 · 2023: 128 · 2022: 101 · 2021: 59
FWCI
2.53
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • International Journal of Information Management (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
Keywords
artificial intelligence, organizational strategy, corporate value creation, artificial intelligence adoption, decision support, customer engagement, employee engagement, automation, new product and service development, AI implementation challenges, conceptual framework

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