نقش میانجی خلاقیت در رابطۀ بین هوش مصنوعی و رفتارِ کاری نوآورانه کتابداران

نوع مقاله : مقاله پژوهشی

نویسنده

استادیار، گروه علم اطلاعات و دانش‌شناسی، دانشگاه خلیج فارس، بوشهر، ایران

چکیده

هدف: هدف از انجام این پژوهش بررسی نقش میانجی خلاقیت در رابطۀ بین هوش مصنوعی و رفتارِ کاری نوآورانه کتابداران در بین مدیران، کارکنان اداری و رؤسای کتابخانه‌های عمومی کشور است.
روش: پژوهش حاضر بر اساس هدف، کاربردی و ازنظر روش، توصیفی- همبستگی است که از یک رویکرد پژوهشی کمی برای بررسی نقش میانجی خلاقیت در رابطۀ بین هوش مصنوعی و رفتارِ کاری نوآورانه کتابداران استفاده کرده است. جامعۀ آماری این پژوهش شامل مجموعه مدیران، کارکنان اداری، رؤسا و مسئولان شاغل در نهاد کتابخانه‌های عمومی کشور بودند که با توجه به محدودیت دسترسی به این افراد در سراسر کشور و به‌منظور دسترسی به دیدگاه‌های آن‌ها از روش نمونه‌گیری خوشه‌ای استفاده شد. نمونۀ آماری پژوهش 310 نفر است که از هر خوشه به شکل تصادفی انتخاب شده بودند. در بخش کمی پژوهش، به‌منظور بررسی نقش میانجی خلاقیت در رابطۀ بین هوش مصنوعی و رفتارِ کاری نوآورانه کتابداران از پرسش‌نامۀ استاندارد برای جمع‌آوری داده استفاده شد. به‌منظور سنجش هوش مصنوعی از پرسش‌نامۀ چِن و همکاران حاوی 22 گویه، برای سنجش خلاقیت کارکنان از پرسش‌نامۀ بر و اولدمن که حاوی 10 گویه، همچنین در سنجش رفتارِ کاری نوآورانه از پرسش‌نامۀ رفتارِ کاری نوآورانه دیجانگ و دنهارتگ که حاوی 12 گویه است، استفاده شد. برای اندازه‌گیری شاخص‌ها در پرسش‌نامۀ از طیف پنج گزینه‌ای لیکرت از کاملاً موافقم تا کاملاً مخالفم استفاده شد. از روایی همگرا و روایی واگرا برای تائید روایی ابزار اندازه‌گیری استفاده ‌شده ‌است.
یافته‌ها: یافته‌های این پژوهش نشان داد که هوش مصنوعی بر رفتارِ کاری نوآورانه کتابداران با مقدار ضریب مسیر 0/422 تأثیر مثبت و معناداری دارد. همچنین، هوش مصنوعی با مقدار ضریب مسیر 0/509 تأثیر مثبتی بر خلاقیت کتابداران دارد و آن‌ها را در ایجاد ایده‌های جدید و حل مشکلات به شیوه‌های خلاقانه ترغیب می‌کند. درنهایت، خلاقیت کتابداران به‌طور مستقیم با مقدار ضریب مسیر 0/514 بر رفتارِ کاری نوآورانه آن‌ها اثرگذار است.
نتیجه‌گیری: نتایج پژوهش نشان داد که خلاقیت نقش میانجی کامل در رابطۀ بین هوش مصنوعی و رفتارِ کاری نوآورانه کتابداران ایفا می‌کند؛ به این معنا که هوش مصنوعی به‌تنهایی تأثیر مستقیمی بر رفتار نوآورانه ندارد، مگر آنکه منجر به ارتقاء خلاقیت در میان کتابداران شود. این یافته بیانگر آن است که صرف استفاده از ابزارها و فناوری‌های هوش مصنوعی بدون تقویت جنبه‌های خلاقیت فردی و سازمانی نمی‌تواند به نوآوری در رفتارهای کاری بینجامد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

The Mediating Role of Creativity in the Relationship between Artificial Intelligence and Librarians’ Innovative Work Behavior

نویسنده [English]

  • Seifallah Andayesh
Assistant Professor, Knowledge and Information Science, Persian Gulf University, Bushehr, Iran
چکیده [English]

Purpose: The purpose of this study is to investigate the mediating role of creativity in the relationship between artificial intelligence (AI) and innovative work behavior of librarians among managers, administrative staff, and heads of public libraries in Iran.
Method: This applied research employed a descriptive-correlational method using a quantitative approach to examine the mediating role of creativity in the relationship between AI and librarians' innovative work behavior. The statistical population consisted of managers, administrative staff, and officials working in the Iran Public Libraries Foundation. Due to limited access to these individuals across the country, a cluster sampling method was employed. Provinces were initially clustered based on the number of libraries from the highest to the lowest. Then, one province was randomly selected from each cluster: Fars (Cluster 1), Mazandaran (Cluster 2), Zanjan (Cluster 3), Ardabil (Cluster 4), Semnan (Cluster 5), Lorestan (Cluster 6), and Tehran was also selected from the first cluster due to its centrality. A total of 310 participants were randomly selected from these provinces. In the quantitative phase, standardized questionnaires were used for data collection. AI was measured using the 22-item scale developed by Chen et al. (2022), selected for its coherence, brevity, and comprehensiveness, covering a wide range of AI dimensions. Creativity was measured using the 10-item questionnaire by Barron and Oldham (2006), and innovative work behavior was assessed using the 12-item scale by De Jong and Den Hartog (2010). A total of 310 questionnaires were distributed and used as the basis for data analysis. A five-point Likert scale ranging from "strongly agree" to "strongly disagree" was applied. Convergent and discriminant validity were used to confirm the validity of the measurement tools.
Findings: The results indicated that AI has a positive and significant effect on librarians’ innovative work behavior (path coefficient = 0.422). The use of AI tools and technologies enables librarians to perform their duties more innovatively. Furthermore, AI positively affects librarians’ creativity (path coefficient = 0.509), encouraging them to generate new ideas and solve problems creatively. Ultimately, librarians' creativity has a direct and significant impact on their innovative work behavior (path coefficient = 0.514).
Conclusion: The findings of this study revealed that creativity plays a full mediating role in the relationship between AI and librarians’ innovative work behavior. This implies that AI does not have a direct impact on innovative behavior unless it enhances librarians’ creativity. The results suggest that merely using AI tools and technologies, without fostering individual and organizational creativity, cannot lead to innovative work behaviors. Public libraries in Iran, particularly with their socio-cultural roles, can benefit from the innovative potential of their staff only if AI is developed as a platform for enhancing creativity. Therefore, AI is not only a technological factor but also an intermediary mechanism for cultivating creativity and shaping innovative work behavior in libraries. This insight may guide library managers in developing managerial policies aimed at institutionalizing innovation through the reinforcement of technological infrastructure.

کلیدواژه‌ها [English]

  • Artificial Intelligence
  • Innovative Work Behavior
  • Creativity
  • Public Libraries
  • Employee Creativity

مراجع

References
 Abayomi, O. K., Adenekan, F. N., Abayomi, A. O., Ajayi, T. A., & Aderonke, A. O. (2021). Awareness and Perception of the Artificial Intelligence in the Management of University Libraries in Nigeria. Journal of Interlibrary Loan, Document Delivery & Electronic Reserve, 29(1-2), 13-28. doi:http://10.1080/1072303X.2021.1918602
Affum, M. Q. (2023). The Transformative Impact of Artificial Intelligence on Library Innovation. Library Philosophy & Practice. doi:https://scholar.google.com/
Ali, M. Y., Naeem, S. B., & Bhatti, R. (2024). Artificial Intelligence (AI) applications and usage among the LIS professionals of Pakistan. Journal of Librarianship and Information Science, 09610006241241306. doi:https://doi.org/10.1177/09610006241241306
Anantrasirichai, N., Zhang, F., & Bull, D. (2025). Artificial Intelligence in Creative Industries: Advances Prior to 2025. arXiv preprint arXiv:2501.02725. doi:https://doi.org/10.1007/s10462-021-10039-7
Baer, M., & Oldham, G. R. (2006). The curvilinear relation between experienced creative time pressure and creativity: moderating effects of openness to experience and support for creativity. Journal of Applied psychology, 91(4), 963. http://dx.doi.org/10.1037/0021-9010.91.4.963
Barsha, S., & Munshi, S. A. (2024). Implementing artificial intelligence in library services: a review of current prospects and challenges of developing countries. Library Hi Tech News, 41(1), 7-10. doi:http://10.1108/LHTN-07-2023-0126
Bashir, K. (2023). The impact of artificial intelligence on employee performance and satisfaction: a study from academic sector. Available at SSRN 5200144. https://dx.doi.org/10.2139/ssrn.5200144
Bos-Nehles, A., Bondarouk, T., & Nijenhuis, K. (2017). Innovative work behaviour in knowledge-intensive public sector organizations: the case of supervisors in the Netherlands fire services. The International Journal of Human Resource Management, 28(2), 379-398. doi:https://doi.org/10.1080/09585192.2016.1244894
Chen, D., Esperança, J. P., & Wang, S. (2022). The impact of artificial intelligence on firm performance: an application of the resource-based view to e-commerce firms. Frontiers in psychology, 13, 884830. doi:https://doi.org/10.3389/fpsyg.2022.884830
Chen, S., Zhang, X., Pan, L., & Hu, M. (2024). Innovative Work Behavior and Job Performance of Corporate Employees in the Age of Artificial Intelligence. Applied Mathematics and Nonlinear Sciences, 9(1). doi:https://doi.org/10.2478/amns-2024-0856
Czarnitzki, D., Fernández, G. P., & Rammer, C. (2023). Artificial intelligence and firm-level productivity. Journal of Economic Behavior & Organization, 211, 188-205. doi:https://doi.org/10.1016/j.jebo.2023.05.008
De Jong, J., & Den Hartog, D. (2010). Measuring innovative work behaviour. Creativity and innovation management, 19(1), 23-36. https://doi.org/10.1111/j.1467-8691.2010.00547.x
Elkholy, S. M., Ageiz, M. H., & Elshrief, H. A. (2024). Artificial Intelligence and Its Relation to Nurses' Innovative Behavior: Moderating Role of Job Control. Assiut Scientific Nursing Journal, 12(43), 53-63. doi:https://dx.doi.org/10.21608/asnj.2024.268620.1785
Füller, J., Hutter, K., Wahl, J., Bilgram, V., & Tekic, Z. (2022). How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators. Technological forecasting and social change, 178, 121598. doi:https://doi.org/10.1016/j.techfore.2022.121598
Gama, F., & Magistretti, S. (2025). Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications. Journal of Product Innovation Management, 42(1), 76-111. doi:https://doi.org/10.1111/jpim.12698
Ghorbanzadeh, D., Espinosa-Cristia, J. F., Abdelrasheed, N. S. G., Mostafa, S. S. S., Askar, S., & Almufti, S. M. (2024). Role of innovative behaviour as a missing linchpin in artificial intelligence adoption to enhancing job security and job performance. Systems Research and Behavioral Science, n/a(n/a). doi:https://doi.org/10.1002/sres.3076
Grilli, L., & Pedota, M. (2024). Creativity and artificial intelligence: A multilevel perspective. Creativity and innovation management, 33(2), 234-247. https://doi.org/10.1111/caim.12580
Haefner, N., Wincent, J., Parida, V., & Gassmann, O. (2021). Artificial intelligence and innovation management: A review, framework, and research agenda. Technological forecasting and social change, 162, 120392. doi:https://doi.org/10.1016/j.techfore.2020.120392
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California management review, 61(4), 5-14. doi:https://doi.org/10.1177/0008125619864925
Han, X., Chen, F., Wang, H., & Xu, S. (2025). Unlocking innovation: Artificial intelligence usage and innovative behavior in the workplace. Social Behavior and Personality: an international journal, 53(3), 1-13. doi:https://doi.org/10.2224/sbp.13851
Harisanty, D., Anna, N. E. V., Putri, T. E., Firdaus, A. A., & Noor Azizi, N. A. (2024). Leaders, practitioners and scientists' awareness of artificial intelligence in libraries: a pilot study. Library Hi Tech, 42(3), 809-825. doi:http://10.1108/LHT-10-2021-0356
Herron, J. (2017). Intelligent Agents for the Library. Journal of Electronic Resources in Medical Libraries, 14(3-4), 139-144. doi:http://10.1080/15424065.2017.1367633
Hilt, K. (2017). What Does the Future Hold for the Law Librarian in the Advent of Artificial Intelligence?/Que réserve l'avenir pour le bibliothécaire de droit avec la venue de l'intelligence artificielle? Canadian Journal of Information and Library Science, 41(3), 211-227. doi:https://muse.jhu.edu/article/686190
Hock‐Doepgen, M., Montasser, J. S., Klein, S., Clauss, T., & Maalaoui, A. (2025). The role of innovative work behavior and organizational support for business model innovation. R&D Management, 55(1), 7-26. doi:https://doi.org/10.1111/radm.12671
Hussain, A. (2023). Use of artificial intelligence in the library services: prospects and challenges. Library Hi Tech News, 40(2), 15-17. doi:http://10.1108/LHTN-11-2022-0125
Hwang, G.-J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1, 100001. doi:https://doi.org/10.1016/j.caeai.2020.100001
Iansiti, M., & Lakhani, K. R. (2020). Competing in the age of AI: Strategy and leadership when algorithms and networks run the world. doi:https://scholar.google.com/scholar_lookup
Jain, H., Padmanabhan, B., Pavlou, P. A., & Raghu, T. (2021). Editorial for the special section on humans, algorithms, and augmented intelligence: The future of work, organizations, and society. Information Systems Research, 32(3), 675-687. doi:https://doi.org/10.1287/isre.2021.1046
James, A. B., & Filgo, E. H. (2023). Where does ChatGPT fit into the Framework for Information Literacy? The possibilities and problems of AI in library instruction. College & Research Libraries News, 84(9), 334. doi:https://doi.org/10.5860/crln.84.9.334
Kong, S.-C., Man-Yin Cheung, W., & Zhang, G. (2021). Evaluation of an artificial intelligence literacy course for university students with diverse study backgrounds. Computers and Education: Artificial Intelligence. 100026, 2. doi:https://doi.org/10.1016/j.caeai.2021.100026
Lakshmi, V., & Corbett, J. (2020). How artificial intelligence improves agricultural productivity and sustainability: A global thematic analysis. doi:https://aisel.aisnet.org/hicss-53/os/ai_and_sustainability/3/
Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, 3, 100101. doi:https://doi.org/10.1016/j.caeai.2022.100101
Luo, X., Qin, M. S., Fang, Z., & Qu, Z. (2021). Artificial Intelligence Coaches for Sales Agents: Caveats and Solutions. Journal of Marketing, 85(2), 14-32. doi:http://10.1177/0022242920956676
Matheny, M. E., Whicher, D., & Thadaney Israni, S. (2020). Artificial Intelligence in Health Care: A Report From the National Academy of Medicine. Jama, 323(6), 509-510. doi:http://10.1001/jama.2019.21579
McCarthy, J. (2007). From here to human-level AI. Artificial Intelligence, 171(18), 1174-1182. doi:https://doi.org/10.1016/j.artint.2007.10.009
Milmo, D. (2023). ChatGPT reaches 100 million users two months after launch. The Guardian, 3. doi:https://www.theguardian.com/technology/2023
Mondal, B. (2020). Artificial intelligence: state of the art. Recent trends and advances in artificial intelligence and internet of things, 389-425. doi:https://doi.org/10.1007/978-3-030-32644-9_32
Mor, S., & Gupta, G. (2021). Artificial intelligence and technical efficiency: The case of Indian commercial banks. Strategic Change, 30(3), 235-245. doi:https://doi.org/10.1002/jsc.2406
Mughari, S., Rafique, G. M., & Ali, M. A. (2024). Effect of AI literacy on work performance among medical librarians in Pakistan. The Journal of Academic Librarianship, 50(5), 102918. doi:https://doi.org/10.1016/j.acalib.2024.102918
Nahar, S. (2024). Modeling the effects of artificial intelligence (AI)-based innovation on sustainable development goals (SDGs): Applying a system dynamics perspective in a cross-country setting. Technological forecasting and social change, 201, 123203. doi:https://doi.org/10.1016/j.techfore.2023.123203
Odugbesan, J. A., Aghazadeh, S., Al Qaralleh, R. E., & Sogeke, O. S. (2023). Green talent management and employees’ innovative work behavior: the roles of artificial intelligence and transformational leadership. Journal of Knowledge Management, 27(3), 696-716. doi:https://doi.org/10.1108/JKM-08-2021-0601
Okunlaya, R. O., Syed Abdullah, N., & Alias, R. A. (2022). Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education. Library Hi Tech, 40(6), 1869-1892. doi:http://10.1108/LHT-07-2021-0242
Omame, I. M., & Alex-Nmecha, J. C. (2020). Artificial intelligence in libraries. Managing and adapting library information services for future users, 120-144. doi:http://10.4018/978-1-7998-1116-9.ch008
Papachristopoulos, K., Gradito Dubord, M.-A., Jauvin, F., Forest, J., & Coulombe, P. (2023). Positive Impact, Creativity, and Innovative Behavior at Work: The Mediating Role of Basic Needs Satisfaction. Behavioral Sciences, 13(12), 984. doi:https://doi.org/10.3390/bs13120984
Phillips, M. E., & Chen, J. (2017). Machine learning for name type classification in library metadata. Proceedings of the Association for Information Science and Technology, 54(1), 773-774. doi:https://doi.org/10.1002/pra2.2017.14505401152
Pinski, M., & Benlian, A. (2024). AI literacy for users–A comprehensive review and future research directions of learning methods, components, and effects. Computers in Human Behavior: Artificial Humans, 100062. doi:https://doi.org/10.1016/j.chbah.2024.100062
Pothier, W., & Condon, P. (2023). Cultivating a data literate workforce: Considerations for librarians. portal: Libraries and the Academy, 23(4), 629-636. doi:https://doi.org/10.1353/pla.2023.a908694
Srirahayu, D. P., Ekowati, D., & Sridadi, A. R. (2023). Innovative work behavior in public organizations: A systematic literature review. Heliyon, 9(2), e13557. doi:https://doi.org/10.1016/j.heliyon.2023.e13557
Strobl, A., Matzler, K., Nketia, B. A., & Veider, V. (2020). Individual innovation behavior and firm-level exploration and exploitation: how family firms make the most of their managers. Review of Managerial Science, 14(4), 809-844. doi:https://doi.org/10.1007/s11846-018-0309-9
Subaveerapandiyan, A., Sunanthini, C., & Amees, M. (2023). A study on the knowledge and perception of artificial intelligence. IFLA journal, 49(3), 503-513. doi:https://doi.org/10.1177/03400352231180230
Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002. doi:https://doi.org/10.1016/j.jjimei.2020.100002
Verma, S., & Singh, V. (2022). Impact of artificial intelligence-enabled job characteristics and perceived substitution crisis on innovative work behavior of employees from high-tech firms. Computers in Human Behavior, 131, 107215. doi:https://doi.org/10.1016/j.chb.2022.107215
Wu, J., Williams, K. M., Chen, H.-H., Khabsa, M., Caragea, C., Tuarob, S., . . . Giles, C. L. (2015). Citeseerx: Ai in a digital library search engine. AI Magazine, 36(3), 35-48. doi:https://doi.org/10.1609/aimag.v36i3.2601
Yin, M., Jiang, S., & Niu, X. (2024). Can AI really help? The double-edged sword effect of AI assistant on employees’ innovation behavior. Computers in Human Behavior, 150, 107987. doi:https://doi.org/10.1016/j.chb.2023.107987
Zhang, X. (2022). On the Innovative Work and Development of Library Reader Service in the Era of Artificial Intelligence. Wireless Communications and Mobile Computing, 2022(1), 3779660. doi:https://doi.org/10.1155/2022/3779660
Zhou, Z., Duan, Y., Qiu, J., & Yang, L. (2024). The influence of organizational learning on library service innovation. Library Hi Tech, 42(3), 765-781. doi:https://doi.org/10.1108/LHT-04-2021-0148
Zurek, E. E., Guerrero, G., Reyes, C., Hernández, R. J., Jabba, D., Wightman, P. M., . . . Nieto-Bernal, W. (2013). Fast identification process of library call numbers for on the shelf books using image processing and artificial intelligence techniques. Ieee symposium on industrial electronics & applications, 222-226. doi:https://doi.org/10.1109/ISIEA.2013.6738998
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  • تاریخ دریافت: 05 اردیبهشت 1404
  • تاریخ بازنگری: 22 مرداد 1404
  • تاریخ پذیرش: 08 شهریور 1404
  • تاریخ انتشار: 01 دی 1404

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