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بررسی وضعیت هوشمندی کتابخانههای دانشگاهی استان کرمانشاه از دیدگاه کارکنان کتابخانه | ||
| پژوهش های کتابخانه های دیجیتالی و هوشمند | ||
| دوره 12، شماره 3 (پیاپی 46)، آبان 1404، صفحه 1-12 اصل مقاله (1.92 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.30473/mrs.2026.76781.1683 | ||
| نویسندگان | ||
| زینب رسولیان1؛ صالح رحیمی* 2؛ غلامرضا حیدری2 | ||
| 1کارشناسی ارشد، گروه علم اطلاعات و دانششناسی، دانشکده علوم اجتماعی، دانشگاه رازی، کرمانشاه، ایران. | ||
| 2دانشیار، گروه علم اطلاعات و دانششناسی، دانشکده علوم اجتماعی، دانشگاه رازی، کرمانشاه، ایران. | ||
| چکیده | ||
| کتابخانههای دانشگاهی با گسترش فناوریهای دیجیتال بهسوی هوشمندسازی حرکت کردهاند. کتابخانههای هوشمند از ابزارهایی مانند اینترنت اشیا، هوش مصنوعی و RFID برای ارائه خدمات پیوسته و شخصیسازیشده استفاده میکنند. با وجود موفقیت کشورهای توسعهیافته در زمینه هوشمندسازی کتابخانهها، اما ایران با محدودیتهای بودجه، نیروی متخصص و زیرساخت مواجه است. این پژوهش وضعیت هوشمندی کتابخانههای دانشگاهی کرمانشاه را از دیدگاه کارکنان در پنج مؤلفه فناوری، ساختمان، خدمات، افراد و مقررات هوشمند بررسی میکند .روش این پژوهش از نظر هدف کاربردی و به روش توصیفی-پیمایشی انجام شد. جامعه آماری شامل ۵۰ نفر کارکنان کتابخانههای دانشگاهی کرمانشاه بود که به روش سرشماری بررسی شدند. دادهها با استفاده از پرسشنامه جادهو و شینو (۲۰۲۰) جمعآوری و توسط نرم افزار SPSS نسخه26 تحلیل شدند. آزمون تی تکنمونهای برای مقایسه میانگین مؤلفهها با حد متوسط (۳)، کلموگروف-اسمیرنوف برای نرمال بودن دادهها و آزمونهای تی مستقل، من-ویتنی، کروسکال-والیس و پیرسون برای تحلیل تفاوتهای جمعیتی بهکار گرفته شد. مطابق یافتهها میانگین چهار مؤلفه فناوری هوشمند (۲.۴۷)، ساختمان (۲.۵۵)، خدمات (۲.۷۵) و مقررات (۲.۷۱) کمتر از حد متوسط است (0.05 p<). مؤلفه افراد هوشمند (۲.۹۸) در سطح متوسط قرار دارد (۰.۸۶۸p=). تفاوت معناداری بین جنسیت، رشته، سمت، مقطع و سابقه خدمت مشاهده نشد. کارکنان ۳۱-۴۰ ساله در مؤلفه افراد هوشمند امتیاز بالاتری کسب کردند(۰.۰۲۹ p=). کتابخانههای دانشگاهی کرمانشاه از سطح مطلوب هوشمندی فاصله دارند و ضعف در فناوری، زیرساخت، خدمات و مقررات مشهود است. بنابراین مدیران باید ضمن تدوین نقشه راه هوشمندسازی و تامین بودجه کتابخانههای دانشگاهی، خدمات دیجیتال را اولویتبندی کنند. | ||
| کلیدواژهها | ||
| کتابخانه هوشمند؛ هوشمندسازی؛ فناوری هوشمند؛ خدمات هوشمند؛ کتابخانههای دانشگاهی | ||
| عنوان مقاله [English] | ||
| Investigating the Smartness Status of Academic Libraries in Kermanshah Province from the Perspective of Library Staff | ||
| نویسندگان [English] | ||
| Zeynab Rasoolian1؛ Saleh Rahimi2؛ Gholam Reza Heydari2 | ||
| 1Msc, Department of Knowledge and Information Science, Razi University, Kermanshah, Iran. | ||
| 2Associate Professor, Department of Knowledge and Information Science, Razi University, Kermanshah, Iran | ||
| چکیده [English] | ||
| Introduction Academic libraries are key infrastructures for supporting education and research, and the spread of digital technologies has pushed them toward smart transformation. Smart libraries use tools such as the Internet of Things (IoT), Artificial Intelligence (AI) and Radio Frequency Identification (RFID) to provide continuous, efficient and personalized services. In many developed countries, this transformation has advanced, but in developing countries such as Iran, it is slowed by limited budgets, lack of skilled staff and weak infrastructures. This study examines five components of smart libraries – smart technology, smart infrastructure, smart services, smart personnel and smart regulations to evaluate the smartness status of academic libraries in Kermanshah Province from the perspective of library staff. Methodology This research is applied research and uses a descriptive–survey design. The statistical population consisted of 50 employees working in academic libraries of Kermanshah Province, all included by census. Data were collected through the questionnaire developed by Jadhav and Shenoy (2020), which measures the five smart components on a five point Likert scale. Descriptive statistics (frequency and percentage for demographic variables and mean and standard deviation for the components) were calculated in SPSS 26. In the inferential section, a one sample t test compared the mean of each component with the theoretical midpoint of 3. The Kolmogorov–Smirnov test checked normality, and according to the distribution of data, the Independent T Test, Mann–Whitney test, ANOVA, Kruskal–Wallis test and Pearson correlation examined relationships between smart components and demographic variables such as gender, age, education level, field of study and work experience. Findings The results show that four of the five components are below the expected average level. The mean scores for smart technology, smart infrastructure, smart services and smart regulations are all significantly lower than 3, indicating weaknesses in technological equipment, physical conditions, service innovation and regulatory frameworks. Only the smart personnel component is at an average level, which suggests that staff competence and readiness are acceptable. Analysis of demographic variables reveals no significant differences in any smart component with respect to gender, field of study, education level or work experience. Age is the only distinguishing factor: employees aged 31–40 years obtain higher scores on the smart personnel component than those in the 20–30 و 41–50 age groups, while there is no significant difference between the youngest and oldest groups. Discussion and Conclusion Overall, academic libraries in Kermanshah Province are still far from the desired level of smartness. Technology, infrastructure, services and regulations are in an unfavorable state, whereas only the human resources dimension has reached a moderate level. This pattern shows that although librarians and staff have basic competencies, their potential is limited by outdated infrastructures and underdeveloped governance. The lack of significant differences across most demographic variables suggests that the shortcomings are systemic rather than individual. To move toward smart academic libraries, decision makers should design a roadmap for smart library development, secure funding, prioritize scalable digital and web based services, provide targeted training for different age groups and update regulations related to data security, privacy and smart service. | ||
| کلیدواژهها [English] | ||
| Smart library, Smartization, Smart Technology, Smart Services, Academic libraries | ||
| مراجع | ||
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Aithal, P.S. (2016). Smart library model for future generations. International Journal of Engineering Research and Modern Education (IJERME), 1(1), 693-703. Aittola, M., Ryhänen, T., Ojala, T. (2003). SmartLibrary – Location-Aware Mobile Library Service. In: Chittaro, L. (eds) Human-Computer Interaction with Mobile Devices and Services. Mobile HCI 2003. Lecture Notes in Computer Science, vol 2795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45233-1_38 Asghari-Hinehabad, L; Sadra, F & Alipour, R (2016). Making Libraries Smart in the Urban Environment. The First National Conference on Smart Cities. Qom. https://civilica.com/doc/56569. (In Persian) Cao, G., Liang, M., & Li, X. (2018). How to make the library smart? The conceptualization of the smart library. The Electronic Library, 36(5), 811-825. https://doi.org/10.1108/EL-11-2017-0248 Chan, H. C., & Chan, L. (2018). Smart library and smart campus. Journal of Service Science and Management, 11(6), 543-564. http://dx.doi.org/10.4236/jssm.2018.116037 Duncan, A. S. P. (2021). Opportunities for academic smart libraries in the Caribbean. Library Hi Tech News, 38(5), 9-12. https://doi.org/10.1108/LHTN-06-2021-0035 Farajzadeh, M (1401). Application of Artificial Intelligence in Smart Library. Information News and Information Retrieval Skills. 23(52), 12-5. https://ejiss.um.ac.ir/article_42790.html (In Persian) Gul, S. & Bano, S. (2019). Smart libraries: an emerging and innovative technological habitat of 21st century, The Electronic Library, 5 (37), 764-783. https://doi.org/10.1108/EL-02-2019-0052 Hamad, F., Al-Fadel, M., & Fakhouri, H. (2022). The provision of smart service at academic libraries and associated challenges. Journal of Librarianship and Information Science, 0(0). https://doi.org/10.1177/09610006221114173 Jadhav, D., & Shenoy, D. (2020). Measuring the smartness of a library. Library & Information Science Research, 42(3), 101036. http://dx.doi.org/10.1016/j.lisr.2020.101036 Malekkhah, Leila (2016). Smartization of University Libraries in West Azerbaijan Province: A Feasibility Study. Master's Thesis. Al-Zahra University, Faculty of Educational Sciences and Psychology. (In Persian) Malkootikhah, Fahimeh. 2014. Explaining the desired model of the vision of school libraries in Iranian smart schools based on the views of experts. Master's thesis. Shahed University, Faculty of Humanities. (In Persian) Mishra, A. (2020). Smart Technology for Libraries: An Emerging and Innovative Technological Habitat of this Century. International Journal of Library and Information Studies, 10(2), 102-109. Mohammad Ebrahim, M. (2014). Investigating the status of library services in smart schools in Tehran. Master's thesis. Al-Zahra University, Faculty of Educational Sciences and Psychology. (In Persian) Norouzi, Y., Ebadollah Amoughin, J., & GolMohammadi, M. (2023). Internet of things (IoT) in libraries. Librarianship and Information Organization Studies, 33(4), 3-16. https://doi.org/10.30484/nastinfo.2023.3325.2184 (In Persian) Parhamnia, F. (2021). A Study of faculty members views on service innovation and quality in the intelligent library and their behavioral intent based on the technology acceptance model (TAM). Library and Information Sciences, 24(2), 35-58. https://doi.org/10.30481/lis.2021.266037.1788 (In Persian) Rezaeenour, J., Norouzi, Y. & karimian, R. (2025). Identifying the Challenges and Opportunities Facing Specialized libraries by Using Artificial Intelligence. Digital and Smart Libraries Researches, 12(1), 51-64. https://doi.org/10.30473/mrs.2025.74248.1615 (In Persian) Samancioglu, N., & Nuere, S. (2023). A determination of the smartness level of university campuses: The Smart Availability Scale (SAS). Journal of Engineering and Applied Science, 70(1), 1-19. https://doi.org/10.1186/s44147-023-00179-8 Schöpfel, J. (2018). Smart libraries. Infrastructures, 3(4), 43. http://dx.doi.org/10.3390/infrastructures3040043 Shahini, S., Farajpahlou, A., Khademizadeh, S. & Naderan, M. (2023). Presenting a proposed architecture for the use of Internet of Things in Iranian academic libraries. Iranian Journal of Information Processing and Management, 38(4), 1457-1498. https://doi.org/10.22034/jipm.2023.701680 (In Persian) Su, X., & Chen, N. (2022). Intelligent Information Service System of Smart Library Based on Virtual Reality and Eye Movement Technology. Scientific Programming. https://doi.org/10.1155/2022/9174756 Yuan, J., & Yang, N. (2023). On factors affecting users’ willingness to participate in the smart services of academic library. Journal of Librarianship and Information Science. https://doi.org/10.1177/09610006221146298
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آمار تعداد مشاهده مقاله: 13 تعداد دریافت فایل اصل مقاله: 4 |
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