Strategic SWOT analysis for implementing artificial intelligence services in iranian academic libraries

Articles in Press

Document Type : Research َ Article

Authors

1 Master of Information Technology Management - Librarian, Faculty of Literature and Humanities, University of Tehran, Tehran, Iran

2 Assistant Professor Department of Information and Library Systems Tashkent University of Information Technologies Tashkent, Uzbekistan

Abstract

Purpose: The present study is a SWOT analysis that studies the strengths and weaknesses and opportunities and threats of building academic library services using artificial intelligence.

Method: In this applied research, a researcher-made questionnaire was used to collect data using the Delphi method. The questionnaire was given to thirteen information science and knowledge experts in two stages. Consensus was determined based on the median, quartiles (Q1, Q3), interquartile range (IQR), and percentage of agreement.

Findings: In the first round of Delphi, the medians showed that the majority of panel members tended to agree or strongly agree, and participants had consensus on 35 out of 39 factors. To re-evaluate the 4 factors that lacked consensus, the questionnaire was sent to the panel members again in the second round, and then the weight of each factor was calculated by normalizing the combined mean. The results showed that Strength-Opportunity (S-O) strategies achieved the highest overall attractiveness score and could be selected as the best strategies.

Conclusion: This study concludes that libraries have both the internal infrastructure necessary to use AI technologies and the external environment has provided valuable capacities for implementing intelligent services. There is also a significant synergy between the internal capabilities of libraries and the available opportunities. The research recommendations include targeted investment in data and network infrastructure, creating secure and reliable platforms for data exchange, and effective exploitation of intelligent systems and advanced data-driven analytics..

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Librarianship and Information Organization Studies

Articles in Press, Accepted Manuscript
Available Online from 30 August 2026

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History

  • Receive Date: 24 April 2026
  • Revise Date: 23 July 2026
  • Accept Date: 30 August 2026
  • Publish Date: 30 August 2026

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