Studying the Capabilities of Domestic Companies with Artificial Intelligence-Based Products with Usability in the Field of Librarianship Activities

Document Type : Original Article


1 Assistant Professor, Department of Knowledge & Information Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran

2 Ph.D. student, Department of Knowledge & Information Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran



Aim: The rapid acceleration of computer-based technologies is not only aimed at overshadowing the personal lives of people, but also people in line with new technologies, understand well its place and importance in various organizations, and want to use it to improve various functions. Libraries and librarians are expected to use the latest technologies as leaders in written records classification and presentation in science and technology. Considering the growing capabilities of technologies based on artificial intelligence, the main purpose of this study was to study the usability of Iranian products/software based on artificial intelligence in libraries and library software.
Methodology: This research is applied in terms of purpose and analytical and descriptive survey in terms of quantitative method. The study population was all officially registered companies in Iran. By referring to the site and a large number of these companies, in the first stage, they were limited to companies that were registered in the field of computers, and so 780 companies were identified. In the second step, 92 companies that are active in the fields of software, especially artificial intelligence, and deep learning, were selected, and only companies that were active in the field of services and software of artificial intelligence and have a web were selected for review. The sites were active and according to these criteria, the research sample includes 21 companies active in the field of artificial intelligence software products. The data collection tool was a researcher-made checklist that included company demographic information and research questions, and its reliability was confirmed with Cronbach's alpha of 0.84.
Findings: The research findings showed that most fields of activity of the mentioned companies were text, image, and audio processing, and the products of these companies can be used in library software.
Asr Goyesh Pardaz and Sarzamin Hooshmand companies are among the oldest companies in this field that have been operating since 2005. Amer Andish Hooshmand Company with 30 employees has the largest number of specialized staff.
Conclusion: The utilization of artificial intelligence in the field of library software in Iran is a nascent and growing science and companies related to this field to design and produce native software compatible with the official language of the country are on the path of progressive development. it can be said that libraries and librarians are also interested in using new technologies in libraries, although they need the training to use them.


Alidoost, S. & Sheikh Shoai, F. (2006). Information Technology and Library. Tehran: Iran Scientific Information and Documentation Research Institute. [in persian]
Arora, D., Bansal, A., Kumar, N. & Suri, A. (2020). Invigorating Libraries with Application of Artificial Intelligence. Library Philosophy and Practice (e-journal), 3630.        
Arshad, A. & Ameen, K. (2019). Scholarly Information Seeking of Academic Engineers and Technologists. International Information & Library Review, 51(1), 1-8.
Dabic, M., Vlacic, E. & Daim, T. (2017). Contextual Differentiation of Absorptive Capacity: Empirical and Conceptual Development. In: 2017 Portland International Conference on Management of Engineering and Technology (PICMET) (pp. 1-8). IEEE.
Farzin Yazdi, M., Baradar, R. & Ghaebi, A. (2018). Framework for the Adoption of Information and Communication Technologies in Iranian University Libraries: The Delphi Approach. Journal of Library and Information Science Studies, 25, 201-224. [in persian]
Giannopoulou, E. & Mitrou, N. (2020). An AI-Based methodology for the automatic classification of a multiclass eBook collection using information form the tables of contents. IEEE Access. DOI: 10.1109/ACCESS.2020.3041651.
Gul, S. & Bano, S. (2019). Smart libraries: an emerging and innovative technological habitat of 21st century. The Electronic Library, 37(5).
Hassan Larijani, H. & Salarpoor, H. (2010). Investigating the use of information technology in university libraries in Zanjan. Quarterly Journal of Science, 3(10). [in persian]
Hervieux, S. & Wheatley, A. (2021). Perceptions of artificial intelligence: A survey of academic librarians in canada and the united states. Journal of Academic Librarianship, 47(1).             
Kabana, KH. & Matlabi, D. (2013). Status of information technology use in Tabriz University libraries. Information systems and services, 3(7), 91-102. [in persian]
Kim, F. (2020). Deep learning with MATLAB. Translators: J. Vahidi & M. Rahimi. Babylon: New Technology. [in persian]
Lund, B.D., Omame, I., Tijani, S. & Agbaji, D. (2020). Perceptions toward Artificial Intelligence among Academic Library Employees and Alignment with the Diffusion of Innovations’ Adopter Categories. College & Research Libraries, 81(5), 865.
Mardani, V. (2017). Applications of artificial intelligence in management science. In: Tehran:3rd International Conference on Industrial Management and Engineering. [in persian]
McCarthy, J. & et al. (1955). A proposal for the Dartmouth summer research project on artificial intelligence. AI Magazine, 27(4), DOI:
Mirhosseini, Z. & Safari, B. (2012). Investigating the use of information technology in university libraries in Gorgan and barriers to its use in these libraries. Journal of Science, 5(16).
[in persian]
Mogali, S.S. (2014). Artificial Intelligence and its applications in Libraries. In: Conference Paper February.
Omame, I.M. & Alex-Nmecha, J.C. (2020). Artificial Intelligence in Libraries. In: Managing and Adapting Library Information Services for Future Users (pp. 120-144). IGI Global.
Raza, Z., Mahmood, K. & Warraich, N.F. (2019). Application of linked data technologies in digital libraries: a review of literature. Library Hi Tech News, 36(3).
Su, H. (2021). Design of the online platform of intelligent library based on machine learning and image recognition. Microprocessors and Microsystems, 82.           
Thimm, M. (2017). The tweety library collection for logical aspects of artificial intelligence and knowledge representation. KI-Künstliche Intelligenz, 31(1), 93-97.
Vlačić, E., Dabić, M., Daim, T. & Vlajčić, D. (2019). Exploring the impact of the level of absorptive capacity in technology development firms. Technological forecasting and social change, 138, 166-177.
Wheatley, A. & Hervieux, S. (2019). Artificial intelligence in academic libraries: An environmental scan. Information Services & Use, 39(4), 347-356.
Wood, B. & Evans, D. (2018). Librarians’ perceptions of artificial intelligence and its potential impact on the profession. Computers in Libraries, 38(1), 1-10.
Yousuf Ali, M., Bin Naeem, S. & Bhatti, R. (a2020). Digital Technologies Applications in the Provision of Library and Information Services in Health Crises. Journal of Hospital Librarianship, 20(4), 342351. DOI:10.1080/15323269.2020.1820127.
Yousuf Ali, M., Bin Naeem, S. & Bhatti, R. (b2020). Artificial intelligence tools and perspectives of university librarians: An overview. Business Information Review, 37(3).           
DOI: 10.1177/0266382120952016.