AKILLI MÜZELERDE DİJİTAL DÖNÜŞÜM: BİBLİYOMETRİK BİR ANALİZ (2014-2024)

Öz

Akıllı müzeler, ziyaretçilerin akıllı cihazları kullanarak müze içeriğine erişebildiği ve müze etkinliklerine her yerden katılabildiği ortamlardır. Akıllı müzelerde yaşanan dijital dönüşüm, kültürel mirası daha etkileşimli ve erişilebilir hale getirerek ziyaretçi deneyiminin zenginleşmesine katkıda bulunmaktadır. Bu çalışmanın amacı, akıllı müze konusunda yayınlanmış çalışmaların bibliyometrik analizini yapmaktır. Web of Science (WoS) veri tabanında “smart museum” anahtar kelimesi kullanılarak yayınlanan çalışmalar 28.01.2025 tarihinde taranmıştır. 2014-2024 yılları arasında yayınlanan toplam 67 adet ilgili yayına ulaşılmıştır. Yayınlarda, akıllı müzeler ile ilgili çalışmalarda en çok kullanılan anahtar kelimeler, zamanda gelişim eğilimleri, en çok atıf alan yayınlar, yazarlar ve en üretken ülkeler gibi bibliyometrik göstergeler analiz edilmiştir. Bulgulara göre, en sık kullanılan anahtar kelimeler akıllı müze, nesnelerin interneti ve kültürel mirastır. En üretken ülkeler Çin ve ABD’dir. Bu çalışmanın bulgularının, akıllı müzeler ile ilgili çalışmaların mevcut durumunu ortaya koyarak, turizm alanında yapılacak olan araştırmalar için yol göstermesi beklenmektedir.

Anahtar Kelimeler

• Web of Science
• Akıllı Müze
• Dijital Dönüşüm
• Bibliyometrik Analiz
• Müzecilik

DIGITAL TRANSFORMATION IN SMART MUSEUMS: A BIBLIOMETRIC ANALYSIS (2014-2024)

Abstract

Smart museums are environments where visitors can access museum content and participate in museum activities from anywhere using smart devices. The digital transformation occurring in smart museums contributes to enhancing the visitor experience by making cultural heritage more interactive and accessible. The aim of this study is to conduct a bibliometric analysis of publications related to smart museums. A search was conducted in the Web of Science (WoS) database on January 28, 2025, using the keyword "smart museum." A total of 67 relevant publications published between 2014 and 2024 were identified. Bibliometric indicators such as the most frequently used keywords in studies on smart museums, temporal development trends, the most cited publications, authors, and the most productive countries were analyzed. According to the findings, the most frequently used keywords are smart museum, Internet of Things, and cultural heritage. The most productive countries are China and the United States. It is expected that the findings of this study will reveal the current status of studies on smart museums and guide research in the field of tourism.

Keywords

• Web of Science
• Smart museum
• Digital Transformation
• Bibliometric Analysis
• Museology

Kaynakça

1. Akgöz, E., Şalvarcı, S., Aylan, F. K., ve Gök, H. S. (2021). Selection of Smart Museums According to Multi-Criteria Decision-Making Technique: AHP Method. MANAS Sosyal Araştırmalar Dergisi, 10(3), 2008-2025.
2. Alletto, S., Cucchiara, R., Del Fiore, G., Mainetti, L., Mighali, V., Patrono, L., ve Serra, G. (2015). An Indoor Location-Aware System for an IoT-Based Smart Museum. IEEE Internet of Things Journal, 3(2), 244-253.
3. Aslan, A. A. (2022). Yapay Zekânın Müze Eğitimi Alanında Kullanılması. Sanat ve Tasarım Dergisi, 30, 1-14.
4. Bae, E. S., Im, D. U., ve Lee, S. Y. (2013). Smart Museum Based on Regional Unified App. International Journal of Software Engineering and Its Applications, 7(4), 157-166.
5. Cameron, F., ve Kenderdine, S. (2007). Theorizing Digital Cultural Heritage: A Critical Discourse. The MIT Press.
6. Ch’ng, E., Cai, S., Leow, F. T., ve Zhang, T. E. (2019). Adoption and Use of Emerging Cultural Technologies in China's Museums. Journal of Cultural Heritage, 37, 170-180.
7. Chen, C., Dubin, R., ve Kim, M. C. (2014). Emerging Trends and New Developments in Regenerative Medicine: A Scientometric Update (2000–2014). Expert Opinion on Biological Therapy, 14(9), 1295-1317.
8. Çuhadar, M., Ongun, U., ve Topsakal, Y. (2022). Kültürel Miras ve Dijitalleşme Konusunda Yayınlanmış Çalışmaların Bibliyometrik Analizi. Journal of Tourism & Gastronomy Studies, 10(4), 3418-3443. Del Fiore, G., Mainetti, L., Mighali, V., Patrono, L., Alletto, S., Cucchiara, R., ve Serra, G. (2016). A Location-Aware Architecture for an IoT-Based Smart Museum. International Journal of Electronic Government Research, 12(2), 39-55.

9. Della Corte, V., Aria, M., ve Del Gaudio, G. (2016). Smart, Open, User Innovation and Competitive Advantage: A model for Museums and Heritage Sites. Museum Management and Curatorship, 32(1), 50–79.
10. Garzia, F. (2022). The Fellini Museum of Rimini in Italy and The Genetic Algorithms-Based Method to Optimize The Design of An Integrated System Network and Installations. Heritage, 5(2), 1310-1329.
11. Giaccardi, E. (2012). Heritage and Social Media: Understanding Heritage in a Participatory Culture. Routledge.
12. Jeong, M., ve Shin, H. H. (2020). Tourists’ Experiences with Smart Tourism Technology at Smart Destinations and Their Behavior İntentions. Journal of Travel Research, 59(8), 1464–1477.
13. Kaplan, A. M., ve Haenlein, M. (2020). Rulers of the World, Unite! The Challenges and Opportunities of Artificial İntelligence. Business Horizons, 63(1), 37-50.
14. Khan, M. N., Rahman, H. U., Faisal, M., Khan, F., ve Ahmad, S. (2021). An IoT-enabled Information System for Smart Navigation in Museums. Sensors, 22(1), 312. Kılıcı, L., ve Köroğlu, Ö. (2023). Müzecilik Alanında Yayımlanan Makalelerin Bibliyometrik Analizi (2000-2022 Yılları). Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, 24(2), 99-114.
15. Laidlaw, C. W. (1988). The Metropolitan Museum of Art and Modern Design: 1917-1929. The Journal of Decorative and Propaganda Arts, 8, 88-103.
16. Lee, S., ve Lee, D. (2021). The Effects of Technology Convergence on The Future of Smart Museums. Journal of Cultural Heritage, 47, 25-32.
17. Li, Y., ve Tang, Y. (2023). Novel Creation Method of Feature Graphics for Image Generation Based on Deep Learning Algorithms. Mathematics, 11(7), 1644.
18. Liu, Q., ve Sutunyarak, C. (2024). The Impact of Immersive Technology in Museums on Visitors’ Behavioral Intention. Sustainability, 16(22), 9714.
19. Martinez, H., Becerra, L., ve Camacho, J. (2012). Information Systems Success: A Review from a Bibliometric Analysis Focus. In Measuring Organizational Information Systems Success: New Technologies and Practices (pp. 62-79).
20. Maurer, C. (2015). Digital Divide and Its Potential Impact on Cultural Tourism. In Cultural Tourism in a Digital Era: First International Conference IACuDiT, Athens, 2014 (pp. 231-241). Springer International Publishing.
21. Mighali, V., Del Fiore, G., Patrono, L., Mainetti, L., Alletto, S., Serra, G., ve Cucchiara, R. (2015, May). Innovative IoT-Aware Services for a Smart Museum. In Proceedings of the 24th International Conference on World Wide Web (pp. 547-550).
22. Parry, R. (2007). Recoding The Museum: Digital Heritage and The Technologies of Change. Routledge.
23. Parry, R. (2010). Museums in a Digital Age. Routledge.
24. Passas, I. (2024). Bibliometric Analysis: The Main Steps. Encyclopedia, 4(2).
25. Puma, P. (2016). The Digital Cultural Heritage-DigitCH Programme: Experiences of Documentation and Survey for the Smart Fruition of Archaeological Heritage. SCIRES-IT-Scientific Research and Information Technology, 6(2), 151-164.
26. Sánchez, A. D., Del Río, M. D. L. C., ve García, J. Á. (2017). Bibliometric Analysis of Publications on Wine Tourism in the Databases Scopus and WoS. European Research on Management and Business Economics, 23(1), 8-15.
27. Schweibenz, W. (1998). The" Virtual Museum": New Perspectives For Museums to Present Objects and Information Using the Internet as a Knowledge Base and Communication System. Isi, 34, 185-200.
28. Schweibenz, W. (2019). The Virtual Museum: An Overview of Its Origins, Concepts, and Terminology. The Museum Review, 4(1), 1-29.
29. Sousa, J. P., Cordeiro, P., ve Cunha, C. R. (2022, September). The Use of Technologies in Museums: A Bibliometric Analysis Based on the Web of Science Database. In International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability (pp. 269-282). Cham: Springer Nature Switzerland.
30. Spachos, P., & Plataniotis, K. N. (2020). BLE Beacons for Indoor Positioning at an Interactive IoT-based Smart Museum. IEEE Systems Journal, 14(3), 3483-3493.
31. Stylianou-Lambert, T., Boukas, N., ve Christodoulou-Yerali, M. (2019). Museums and Cultural Sustainability: Stakeholders, Forces, and Cultural Policies. International Journal of Cultural Policy, 25(6), 770-785.
32. Trunfio, M., ve Campana, S. (2019). A Visitor-Centered Approach to Smart Museums: Technology Innovation for Cultural Heritage Management in The Tourism Industry. Sustainability, 11(11), 3207.
33. Wang, B. (2021). Digital Design of Smart Museum Based on Artificial Intelligence. Mobile Information Systems, 2021(1), 4894131.
34. Zhang, R., ve Abd Rahman, A. (2022). Dive in The Flow Experience: Millennials’ Tech-Savvy, Satisfaction and Loyalty in The Smart Museum. Current Issues in Tourism, 25(22), 3694-3708.
35. Zhou, A., ve Pan, Y. (2024, May). Research on Intelligent Service for Smart Museum Users under Artificial Intelligence. In 3rd International Conference on Humanities, Wisdom Education and Service Management (HWESM 2024) (pp. 128-135). Atlantis Press.
36. Zupic, I., ve Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429-472.