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Examining Attitudes toward the Metaverse and Consumer Behavior through the Perspective of the Technology Acceptance Model

Year 2025, Volume: 10 Issue: 2, 707 - 725, 30.06.2025
https://doi.org/10.25229/beta.1624220

Abstract

This study examines the intention to use metaverse technology in online shopping in Turkey from the consumer behavior perspective with the Technology Acceptance Model (TAM). In the study, which uses the survey technique in the context of numerical research, data obtained from 471 participants with online shopping experience and questions created for the research were analyzed. As a result of the data analyzed using the structural equation model, it is understood that perceived usefulness and ease of use from the metaverse significantly and positively affect consumer attitudes; consumer attitudes also affect behavioral intention, and ultimately behavioral intention positively affects actual use. The statistical findings obtained from the study show that metaverse technology is an important factor in directing consumer behavior in online shopping environments and it is understood that these results overlap with studies conducted in similar areas in the literature. The study emphasizes the need for marketers and businesses running in the online environment to develop innovative and consumer-oriented strategies to increase consumers' usefulness and ease of use in the metaverse environment and contributes to future studies in this field.

References

  • Ali, S. A., & Khan, R. (2023). Metaverse marketing vs digital marketing. International Journal of Innovative Science and Research Technology, 8(1), 385-388.
  • Anderson, J., & Rainie, L. (2022). The metaverse in 2040. Pew Research Centre, 30, 4.
  • Argo, J. J. (2020). A contemporary review of three types of social influence in consumer psychology. Consumer Psychology Review, 3(1), 126-140.
  • Argo, J. J., & Dahl, D. W. (2020). Social influence in the retail context: a contemporary review of the literature. Journal of Retailing, 96(1), 25-39.
  • Arvas, İ. S. (2022). Gutenberg galaksisinden meta evrenine: üçüncü kuşak internet, web 3.0. AJIT-e: Academic Journal of Information Technology, 13(48), 53-71.
  • Assaker, G. (2020). Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory. Journal of Hospitality Marketing & Management, 29(4), 428-449.
  • Averbek, G. S., & Türkyılmaz, C. A. (2022). Sanal Evrende Markaların Geleceği: Yeni İnternet Dünyası Metaverse ve Marka Uygulamaları. Sosyal Bilimlerde Multidisipliner Çalışmalar Teori, Uygulama ve Analizler, 99.
  • Belk, R. W. (2013). Extended self in a digital world. Journal of consumer research, 40(3), 477-500.
  • Belk, R., Humayun, M., & Brouard, M. (2022). Money, possessions, and ownership in the Metaverse: NFTs, cryptocurrencies, Web3 and Wild Markets. Journal of Business Research, 153, 198-205.
  • Buchholz, F., Oppermann, L., & Prinz, W. (2022). There’s more than one metaverse. i-com, 21(3), 313-324. Bushell, C. (2022). The impact of metaverse on branding and marketing. Available at SSRN 4144628.
  • Chau, P. Y., & Hu, P. J. H. (2002). Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Information & management, 39(4), 297-311.
  • Cheah, I., & Shimul, A. S. (2023). Marketing in the metaverse: Moving forward–What’s next?. Journal of Global Scholars of Marketing Science, 33(1), 1-10.
  • Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial management & data systems, 107(1), 21-36.
  • Cheng, R., Wu, N., Chen, S., & Han, B. (2022). Will metaverse be nextg internet? vision, hype, and reality. IEEE network, 36(5), 197-204.
  • Christodoulou, K., Katelaris, L., Themistocleous, M., Christodoulou, P., & Iosif, E. (2022). NFTs and the metaverse revolution: research perspectives and open challenges. Blockchains and the Token Economy: Theory and Practice, 139-178.
  • Collins, C. (2008). Looking to the future: Higher education in the Metaverse. Educause Review, 43(5), 50-52.
  • Çelikkol, Ş. (2022). Metaverse Dünyasi'nin, Tüketici Satin Alma Davranişlari Açisindan Değerlendirilmesİ. İstanbul Kent Üniversitesi İnsan ve Toplum Bilimleri Dergisi, 3(1), 64-75.
  • Damar, M. (2021). Metaverse shape of your life for future: A bibliometric snapshot. Journal of Metaverse, 1(1), 1-8.
  • Damer, B. (2008). Meeting in the ether: A brief history of virtual worlds as a medium for user-created events. Artifact, 2(2), 94-107.
  • Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems. Theory and Results/Massachusetts Institute of Technology.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
  • Davis, F. D. (1989). Technology acceptance model: TAM. Al-Suqri, MN, Al-Aufi, AS: Information Seeking Behavior and Technology Adoption, 205, 219.
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). Technology acceptance model. J Manag Sci, 35(8), 982-1003.
  • Dioniso, J. D., Burns III, W. G., & Gilbert, R. I. C. H. A. R. D. (2013). 3D virtual worlds and the metaverse: current status and future possibilities. Electrical Engineering & Computer Science Faculty Works, 45(3), 36-42.
  • Duan, H., Li, J., Fan, S., Lin, Z., Wu, X., & Cai, W. (2021, October). Metaverse for social good: A university campus prototype. In Proceedings of the 29th ACM international conference on multimedia (pp. 153-161).
  • Dwivedi, Y. K., Hughes, L., Wang, Y., Alalwan, A. A., Ahn, S. J., Balakrishnan, J., ... & Wirtz, J. (2023). Metaverse marketing: How the metaverse will shape the future of consumer research and practice. Psychology & Marketing, 40(4), 750-776.
  • Faraboschi, P., Frachtenberg, E., Laplante, P., Milojicic, D., & Saracco, R. (2022). Virtual worlds (Metaverse): From skepticism, to fear, to immersive opportunities. Computer, 55(10), 100-106.
  • George, A. H., Fernando, M., George, A. S., Baskar, T., & Pandey, D. (2021). Metaverse: The next stage of human culture and the internet. International Journal of Advanced Research Trends in Engineering and Technology (IJARTET), 8(12), 1-10.
  • Grimshaw, M. (Ed.). (2014). The Oxford handbook of virtuality. Oxford University Press, USA.
  • Hadi, R., Melumad, S., & Park, E. S. (2024). The Metaverse: A new digital frontier for consumer behavior. Journal of Consumer Psychology, 34(1), 142-166.
  • Hollensen, S., Kotler, P., & Opresnik, M. O. (2022). Metaverse–the new marketing universe. Journal of Business Strategy, 44(3), 119-125.
  • Hu, P. J., Chau, P. Y., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of management information systems, 16(2), 91-112.
  • Jiang, M., Lee, J., & Son, J. (2024). Exploring Consumer Adoption of the Metaverse in Chinese E-Commerce: A Theoretical Approach Based on TAM and DIT. Global Business & Finance Review, 29(9), 71.
  • Joy, A., Zhu, Y., Peña, C., & Brouard, M. (2022). Digital future of luxury brands: Metaverse, digital fashion, and non‐fungible tokens. Strategic change, 31(3), 337-343.
  • Kang, Y. M. (2021). Metaverse framework and building block. Journal of the Korea Institute of Information and Communication Engineering, 25(9), 1263-1266.
  • Kaur, J., Mogaji, E., Paliwal, M., Jha, S., Agarwal, S., & Mogaji, S. A. (2024). Consumer behavior in the metaverse. Journal of Consumer Behaviour, 23(4), 1720-1738.
  • Ketterer, D. (1992). Canadian science fiction and fantasy. Indiana University Press.
  • Kirmani, A. (2009). The self and the brand. Journal of Consumer Psychology, 19(3), 271-275.
  • Lee, J. Y. (2021). A study on metaverse hype for sustainable growth. International journal of advanced smart convergence, 10(3), 72-80.
  • Lee, L. H., Braud, T., Zhou, P., Wang, L., Xu, D., Lin, Z., & Hui, P. (2021). All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda. arXiv, 2110, 05352. URL: http://arxiv. org/abs/2110.05352.
  • Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 50.
  • Leung, E., Cito, M. C., Paolacci, G., & Puntoni, S. (2022). Preference for material products in identity‐based consumption. Journal of Consumer Psychology, 32(4), 672-679.
  • Manis, K. T., & Choi, D. (2019). The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware. Journal of Business Research, 100, 503-513.
  • Messinger, P. R., Ge, X., Stroulia, E., Lyons, K., Smirnov, K., & Bone, M. (2008). On the relationship between my avatar and myself. Journal For Virtual Worlds Research, 1(2).
  • Min SoMang, M. S., So KamFung [So, K., & Jeong MiYoung, J. M. (2019). Consumer adoption of the Uber mobile application: insights from Diffusion of Innovation Theory and Technology Acceptance Model.
  • Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486-497.
  • Nair, I., & Das, V. M. (2011). Analysis of recent studies undertaken for assessing acceptance of technology among teachers using TAM. International Journal of Computer Applications, 32(8), 38-46.
  • Özdemir Uçgun, G., & Şahin, S. Z. (2024). How does Metaverse affect the tourism industry? Current practices and future forecasts. Current Issues in Tourism, 27(17), 2742-2756.
  • Park, S. M., & Kim, Y. G. (2022). A metaverse: Taxonomy, components, applications, and open challenges. IEEE access, 10, 4209-4251.
  • Pektekin, P. (2013). Web tabanlı uzaktan eğitimde teknoloji kabulünün eğitim becerisi üzerindeki rolü: Türk üniversitelerinde akademisyenler üzerine bir araştırma (Doctoral dissertation, Marmara Universitesi (Turkey).
  • Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732.
  • Rane, N., Choudhary, S., & Rane, J. (2023). Metaverse marketing strategies: enhancing customer experience and analysing consumer behaviour through leading-edge Metaverse technologies, platforms, and models. Platforms, and Models (November 3, 2023).
  • Reed II, A., Forehand, M. R., Puntoni, S., & Warlop, L. (2012). Identity-based consumer behavior. International Journal of Research in Marketing, 29(4), 310-321.
  • Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & management, 42(2), 317-327.
  • Sagnier, C., Loup-Escande, E., Lourdeaux, D., Thouvenin, I., & Valléry, G. (2020). User acceptance of virtual reality: an extended technology acceptance model. International Journal of Human–Computer Interaction, 36(11), 993-1007.
  • Salloum, S. A., Alhamad, A. Q. M., Al-Emran, M., Monem, A. A., & Shaalan, K. (2019). Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE access, 7, 128445-128462.
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of psychological research online, 8(2), 23-74.
  • Shen, B., Tan, W., Guo, J., Zhao, L., & Qin, P. (2021). How to promote user purchase in metaverse? A systematic literature review on consumer behavior research and virtual commerce application design. Applied Sciences, 11(23), 11087.
  • Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die?. Journal of business research, 117, 280-283.
  • Smart, J., Cascio, J., Paffendorf, J., Bridges, C., Hummel, J., Hursthouse, J., & Moss, R. (2007). A cross-industry public foresight project. Proc. Metaverse Roadmap Pathways 3DWeb, 1-28.
  • Stephenson, N. (2016). Parazit (Snow Crash). S. Hacıoğlu (Çev). İstanbul: Altıkırkbeş Yayınları.
  • Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F. A., & Hakim, H. (2020). Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context. Heliyon, 6(11).
  • Tarhini, A., Hone, K., & Liu, X. (2015). A cross‐cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between British and Lebanese university students. British Journal of Educational Technology, 46(4), 739-755.
  • Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS quarterly, 561-570.
  • Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432-2440.
  • Tong, G. C. (2022). Metaverse could pump $1.4 trillion a year into Asia's GDP: Deloitte. CNBC. Turkish Statistical Institute (TÜİK). (2024). Population by age group and proportion in total population, 2007-2023. Retrieved from https://data.tuik.gov.tr/
  • Weinberger, M. (2022). What is metaverse?—a definition based on qualitative meta-synthesis. Future Internet, 14(11), 310.
  • West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. Handbook of structural equation modeling, 1(1), 209-231.
  • Zimmermann, D., Wehler, A., & Kaspar, K. (2023). Self-representation through avatars in digital environments. Current Psychology, 42(25), 21775-21789.

Teknoloji Kabul Modeli Perspektifinden Metaverse ve Tüketici Davranışına Yönelik Tutumların İncelenmesi

Year 2025, Volume: 10 Issue: 2, 707 - 725, 30.06.2025
https://doi.org/10.25229/beta.1624220

Abstract

Bu çalışma, Türkiye’de online alışverişlerde metaverse teknolojisinin kullanılma niyetini tüketici davranışları perspektifinden Teknoloji Kabul Modeli (TKM) ile incelemektedir. Sayısal araştırma bağlamında anket tekniğinden yararlanılan çalışmada, 471 online alışveriş deneyimi olan katılımcıdan elde edilen veriler ile araştırma amacına yönelik oluşturulan sorular analiz edilmiştir. Yapısal eşitlik modeli kullanılarak analiz edilen veriler sonucunda, metaverse yönünden algılanan kullanışlılık ve algılanan kullanım kolaylığının tüketici tutumlarını anlamlı ve pozitif yönde etkilediğini; tüketici tutumlarının da davranışsal niyeti ve nihayetinde davranışsal niyetin de gerçek kullanıma pozitif yönde etkide bulunduğu anlaşılmaktadır. Araştırmadan elde edilen istatistiki bulgular, metaverse teknolojisinin online alışveriş ortamlarında tüketici davranışlarını yönlendirmede önemli bir etken olduğunu göstermekte ve bu sonuçlar literatürdeki benzer alanlarda yapılmış çalışmalar ile örtüştüğü anlaşılmaktadır. Çalışma, pazarlamacılar ve online ortamda faaliyet gösteren işletmelere metaverse ortamında tüketicilerin kullanışlılık ve kullanım kolaylığını artırmaya yönelik yenilikçi ve tüketici odaklı stratejiler geliştirmesi gerekliliğini vurgulamakta ve bu alandaki gelecekte yapılacak çalışmalara katkı sağlamaktadır.

References

  • Ali, S. A., & Khan, R. (2023). Metaverse marketing vs digital marketing. International Journal of Innovative Science and Research Technology, 8(1), 385-388.
  • Anderson, J., & Rainie, L. (2022). The metaverse in 2040. Pew Research Centre, 30, 4.
  • Argo, J. J. (2020). A contemporary review of three types of social influence in consumer psychology. Consumer Psychology Review, 3(1), 126-140.
  • Argo, J. J., & Dahl, D. W. (2020). Social influence in the retail context: a contemporary review of the literature. Journal of Retailing, 96(1), 25-39.
  • Arvas, İ. S. (2022). Gutenberg galaksisinden meta evrenine: üçüncü kuşak internet, web 3.0. AJIT-e: Academic Journal of Information Technology, 13(48), 53-71.
  • Assaker, G. (2020). Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory. Journal of Hospitality Marketing & Management, 29(4), 428-449.
  • Averbek, G. S., & Türkyılmaz, C. A. (2022). Sanal Evrende Markaların Geleceği: Yeni İnternet Dünyası Metaverse ve Marka Uygulamaları. Sosyal Bilimlerde Multidisipliner Çalışmalar Teori, Uygulama ve Analizler, 99.
  • Belk, R. W. (2013). Extended self in a digital world. Journal of consumer research, 40(3), 477-500.
  • Belk, R., Humayun, M., & Brouard, M. (2022). Money, possessions, and ownership in the Metaverse: NFTs, cryptocurrencies, Web3 and Wild Markets. Journal of Business Research, 153, 198-205.
  • Buchholz, F., Oppermann, L., & Prinz, W. (2022). There’s more than one metaverse. i-com, 21(3), 313-324. Bushell, C. (2022). The impact of metaverse on branding and marketing. Available at SSRN 4144628.
  • Chau, P. Y., & Hu, P. J. H. (2002). Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Information & management, 39(4), 297-311.
  • Cheah, I., & Shimul, A. S. (2023). Marketing in the metaverse: Moving forward–What’s next?. Journal of Global Scholars of Marketing Science, 33(1), 1-10.
  • Chen, Y. H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial management & data systems, 107(1), 21-36.
  • Cheng, R., Wu, N., Chen, S., & Han, B. (2022). Will metaverse be nextg internet? vision, hype, and reality. IEEE network, 36(5), 197-204.
  • Christodoulou, K., Katelaris, L., Themistocleous, M., Christodoulou, P., & Iosif, E. (2022). NFTs and the metaverse revolution: research perspectives and open challenges. Blockchains and the Token Economy: Theory and Practice, 139-178.
  • Collins, C. (2008). Looking to the future: Higher education in the Metaverse. Educause Review, 43(5), 50-52.
  • Çelikkol, Ş. (2022). Metaverse Dünyasi'nin, Tüketici Satin Alma Davranişlari Açisindan Değerlendirilmesİ. İstanbul Kent Üniversitesi İnsan ve Toplum Bilimleri Dergisi, 3(1), 64-75.
  • Damar, M. (2021). Metaverse shape of your life for future: A bibliometric snapshot. Journal of Metaverse, 1(1), 1-8.
  • Damer, B. (2008). Meeting in the ether: A brief history of virtual worlds as a medium for user-created events. Artifact, 2(2), 94-107.
  • Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems. Theory and Results/Massachusetts Institute of Technology.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
  • Davis, F. D. (1989). Technology acceptance model: TAM. Al-Suqri, MN, Al-Aufi, AS: Information Seeking Behavior and Technology Adoption, 205, 219.
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). Technology acceptance model. J Manag Sci, 35(8), 982-1003.
  • Dioniso, J. D., Burns III, W. G., & Gilbert, R. I. C. H. A. R. D. (2013). 3D virtual worlds and the metaverse: current status and future possibilities. Electrical Engineering & Computer Science Faculty Works, 45(3), 36-42.
  • Duan, H., Li, J., Fan, S., Lin, Z., Wu, X., & Cai, W. (2021, October). Metaverse for social good: A university campus prototype. In Proceedings of the 29th ACM international conference on multimedia (pp. 153-161).
  • Dwivedi, Y. K., Hughes, L., Wang, Y., Alalwan, A. A., Ahn, S. J., Balakrishnan, J., ... & Wirtz, J. (2023). Metaverse marketing: How the metaverse will shape the future of consumer research and practice. Psychology & Marketing, 40(4), 750-776.
  • Faraboschi, P., Frachtenberg, E., Laplante, P., Milojicic, D., & Saracco, R. (2022). Virtual worlds (Metaverse): From skepticism, to fear, to immersive opportunities. Computer, 55(10), 100-106.
  • George, A. H., Fernando, M., George, A. S., Baskar, T., & Pandey, D. (2021). Metaverse: The next stage of human culture and the internet. International Journal of Advanced Research Trends in Engineering and Technology (IJARTET), 8(12), 1-10.
  • Grimshaw, M. (Ed.). (2014). The Oxford handbook of virtuality. Oxford University Press, USA.
  • Hadi, R., Melumad, S., & Park, E. S. (2024). The Metaverse: A new digital frontier for consumer behavior. Journal of Consumer Psychology, 34(1), 142-166.
  • Hollensen, S., Kotler, P., & Opresnik, M. O. (2022). Metaverse–the new marketing universe. Journal of Business Strategy, 44(3), 119-125.
  • Hu, P. J., Chau, P. Y., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of management information systems, 16(2), 91-112.
  • Jiang, M., Lee, J., & Son, J. (2024). Exploring Consumer Adoption of the Metaverse in Chinese E-Commerce: A Theoretical Approach Based on TAM and DIT. Global Business & Finance Review, 29(9), 71.
  • Joy, A., Zhu, Y., Peña, C., & Brouard, M. (2022). Digital future of luxury brands: Metaverse, digital fashion, and non‐fungible tokens. Strategic change, 31(3), 337-343.
  • Kang, Y. M. (2021). Metaverse framework and building block. Journal of the Korea Institute of Information and Communication Engineering, 25(9), 1263-1266.
  • Kaur, J., Mogaji, E., Paliwal, M., Jha, S., Agarwal, S., & Mogaji, S. A. (2024). Consumer behavior in the metaverse. Journal of Consumer Behaviour, 23(4), 1720-1738.
  • Ketterer, D. (1992). Canadian science fiction and fantasy. Indiana University Press.
  • Kirmani, A. (2009). The self and the brand. Journal of Consumer Psychology, 19(3), 271-275.
  • Lee, J. Y. (2021). A study on metaverse hype for sustainable growth. International journal of advanced smart convergence, 10(3), 72-80.
  • Lee, L. H., Braud, T., Zhou, P., Wang, L., Xu, D., Lin, Z., & Hui, P. (2021). All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda. arXiv, 2110, 05352. URL: http://arxiv. org/abs/2110.05352.
  • Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 50.
  • Leung, E., Cito, M. C., Paolacci, G., & Puntoni, S. (2022). Preference for material products in identity‐based consumption. Journal of Consumer Psychology, 32(4), 672-679.
  • Manis, K. T., & Choi, D. (2019). The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware. Journal of Business Research, 100, 503-513.
  • Messinger, P. R., Ge, X., Stroulia, E., Lyons, K., Smirnov, K., & Bone, M. (2008). On the relationship between my avatar and myself. Journal For Virtual Worlds Research, 1(2).
  • Min SoMang, M. S., So KamFung [So, K., & Jeong MiYoung, J. M. (2019). Consumer adoption of the Uber mobile application: insights from Diffusion of Innovation Theory and Technology Acceptance Model.
  • Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486-497.
  • Nair, I., & Das, V. M. (2011). Analysis of recent studies undertaken for assessing acceptance of technology among teachers using TAM. International Journal of Computer Applications, 32(8), 38-46.
  • Özdemir Uçgun, G., & Şahin, S. Z. (2024). How does Metaverse affect the tourism industry? Current practices and future forecasts. Current Issues in Tourism, 27(17), 2742-2756.
  • Park, S. M., & Kim, Y. G. (2022). A metaverse: Taxonomy, components, applications, and open challenges. IEEE access, 10, 4209-4251.
  • Pektekin, P. (2013). Web tabanlı uzaktan eğitimde teknoloji kabulünün eğitim becerisi üzerindeki rolü: Türk üniversitelerinde akademisyenler üzerine bir araştırma (Doctoral dissertation, Marmara Universitesi (Turkey).
  • Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732.
  • Rane, N., Choudhary, S., & Rane, J. (2023). Metaverse marketing strategies: enhancing customer experience and analysing consumer behaviour through leading-edge Metaverse technologies, platforms, and models. Platforms, and Models (November 3, 2023).
  • Reed II, A., Forehand, M. R., Puntoni, S., & Warlop, L. (2012). Identity-based consumer behavior. International Journal of Research in Marketing, 29(4), 310-321.
  • Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & management, 42(2), 317-327.
  • Sagnier, C., Loup-Escande, E., Lourdeaux, D., Thouvenin, I., & Valléry, G. (2020). User acceptance of virtual reality: an extended technology acceptance model. International Journal of Human–Computer Interaction, 36(11), 993-1007.
  • Salloum, S. A., Alhamad, A. Q. M., Al-Emran, M., Monem, A. A., & Shaalan, K. (2019). Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model. IEEE access, 7, 128445-128462.
  • Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of psychological research online, 8(2), 23-74.
  • Shen, B., Tan, W., Guo, J., Zhao, L., & Qin, P. (2021). How to promote user purchase in metaverse? A systematic literature review on consumer behavior research and virtual commerce application design. Applied Sciences, 11(23), 11087.
  • Sheth, J. (2020). Impact of Covid-19 on consumer behavior: Will the old habits return or die?. Journal of business research, 117, 280-283.
  • Smart, J., Cascio, J., Paffendorf, J., Bridges, C., Hummel, J., Hursthouse, J., & Moss, R. (2007). A cross-industry public foresight project. Proc. Metaverse Roadmap Pathways 3DWeb, 1-28.
  • Stephenson, N. (2016). Parazit (Snow Crash). S. Hacıoğlu (Çev). İstanbul: Altıkırkbeş Yayınları.
  • Sukendro, S., Habibi, A., Khaeruddin, K., Indrayana, B., Syahruddin, S., Makadada, F. A., & Hakim, H. (2020). Using an extended Technology Acceptance Model to understand students’ use of e-learning during Covid-19: Indonesian sport science education context. Heliyon, 6(11).
  • Tarhini, A., Hone, K., & Liu, X. (2015). A cross‐cultural examination of the impact of social, organisational and individual factors on educational technology acceptance between British and Lebanese university students. British Journal of Educational Technology, 46(4), 739-755.
  • Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS quarterly, 561-570.
  • Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432-2440.
  • Tong, G. C. (2022). Metaverse could pump $1.4 trillion a year into Asia's GDP: Deloitte. CNBC. Turkish Statistical Institute (TÜİK). (2024). Population by age group and proportion in total population, 2007-2023. Retrieved from https://data.tuik.gov.tr/
  • Weinberger, M. (2022). What is metaverse?—a definition based on qualitative meta-synthesis. Future Internet, 14(11), 310.
  • West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. Handbook of structural equation modeling, 1(1), 209-231.
  • Zimmermann, D., Wehler, A., & Kaspar, K. (2023). Self-representation through avatars in digital environments. Current Psychology, 42(25), 21775-21789.
There are 69 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Research Article
Authors

Muhammed Talha Narcı 0000-0002-2103-4037

Submission Date January 21, 2025
Acceptance Date May 17, 2025
Early Pub Date June 30, 2025
Publication Date June 30, 2025
Published in Issue Year 2025 Volume: 10 Issue: 2

Cite

APA Narcı, M. T. (2025). Examining Attitudes toward the Metaverse and Consumer Behavior through the Perspective of the Technology Acceptance Model. Bulletin of Economic Theory and Analysis, 10(2), 707-725. https://doi.org/10.25229/beta.1624220

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