Identification of Artificial Intelligence Functions in Digital Libraries Based on the Wright Model

Abstract

Purpose: In the 21st century, digital libraries have emerged in new ways in the professional career of librarians and other library users worldwide. The aim of the present study is to identify the functions of artificial intelligence in digital libraries.Method: This research is a qualitative systematic review. The population of the study includes all quantitative and qualitative research articles on the identification of artificial intelligence functions in digital libraries.Findings: A total of 500 research titles were retrieved through a multi-stage search in internal and external databases. Following a three-stage monitoring process (based on title, abstract, and full-text study), 34 research sources (9 foreign research titles and 25 domestic research titles) in the form of published journals articles and conference papers were identified and analyzed using thematic content analysis. For qualitative evaluation of the studies, 8 questions were posed to the experts, resulting in 1 selective code, 8 central codes and 42 open codes.Conclusion: The results of this research show that artificial intelligence can play an important role in the functioning of digital libraries and providing services to users. The findings demonstrate that AI-based systems are useful in various areas such as reference services, database search, organization, indexing, collection management, information retrieval, convenience and development, planning, and circulation. Moreover, librarians can enhance the quality of their works by employing this technology, which contributes to user satisfaction and the improvement of library services.

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