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User Acceptance of Metaverse: An Analysis for e-Commerce in the Framework of Technology Acceptance Model (TAM)

Year 2023, Volume: 31 Issue: 55, 85 - 104, 31.01.2023
https://doi.org/10.17233/sosyoekonomi.2023.01.05

Abstract

The increase in technology has directed society to penetrate more towards electronic channels. Usage of the internet and e-commerce has been growing dramatically year by year. Thus, households’ daily life has become more digitalised, leading innovative entrepreneurs to find new technologies. Firstly, the World has seen the emergence of blockchain technologies in recent years. In the more recent period, terms like Metaverse and NFT became popular. This study aims to analyse Metaverse and NFT terms with Technology Acceptance Model, and accordingly, a structural equation analysis has been conducted via Smart PLS 3. According to the analysis results, Perceived compatibility, enjoyment, and trust have a significant and positive effect on perceived usefulness, the mediation effect has been accepted, and other hypotheses have been rejected. Afterwards, all these results were interpreted accordingly to the analysis.

References

  • Acar, Z. & B. Kucukaltan (2019), “Exploring Impacts of Blockchain Technology on Logistics and Supply Chain Management in Light of Management Theories”, 17th International Logistics and Supply Chain Congress, Istanbul.
  • Agustina, D. (2019), “Extension of Technology Acceptance Model (Etam): Adoption of Cryptocurrency Online Trading Technology”, Jurnal Ekonomi, 24(2), 272-287.
  • Alalwan, A.A. et al. (2018), “Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust”, Technology in Society, 55, 100-110.
  • Alambaigi, A. & I. Ahangari (2016), “Technology acceptance model (TAM) as a predictor model for explaining agricultural experts behavior in acceptance of ICT”, International Journal of Agricultural Management and Development (IJAMAD), 6(1047-2017-1663), 235-247.
  • Al-Sharafi, M.A. et al. (2016), “The effect of security and privacy perceptions on customers’ trust to accept internet banking services: An extension of TAM”, Journal of Engineering and Applied sciences, 11(3), 545-552.
  • 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.
  • Chandra, S. et al. (2010), “Evaluating the role of trust in consumer adoption of mobile payment systems: An empirical analysis”, Communications of the Association for Information Systems, 27(1), 29.
  • Chen, Z. & A.J. Dubinsky (2003), “A conceptual model of perceived customer value in e‐commerce: A preliminary investigation”, Psychology & Marketing, 20(4), 323-347.
  • Coppola, D. (2021), A number of digital buyers worldwide from 2014 to 2021, <https://www.statista.com/statistics/251666/number-of-digital-buyers-worldwide/>, 19.01.2022.
  • Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, 13(3), 319-340.
  • Davis, F.D. (1993), “User acceptance of information technology: system characteristics, user perceptions and behavioral impacts”, International Journal of Man-Machine Studies, 38(3), 475-487.
  • Davis, F.D. et al. (1989), “User acceptance of computer technology: A comparison of two theoretical models”, Management Science, 35(8), 982-1003.
  • Duan, H. et al. (2021), “Metaverse for social good: A university campus prototype”, in: Proceedings of the 29th ACM International Conference on Multimedia (153-161), October.
  • El-Darwiche, B. et al. (2012), Maximizing The Impact of Digitization, Originally published by Booz & Company.
  • Fussell, S.G. & D. Truong (2022), “Using virtual reality for dynamic learning: an extended technology acceptance model”, Virtual Reality, 26, 249-267.
  • Geçit, B.B. & E. Taskin (2020), “The Effect of Value and Service Perceptions on Customer Loyalty for Electronic Commerce Sites; Mediator Role of Satisfaction and Trust”, Business Management Dynamics, 10(5), 1-12.
  • Gefen, D. (2000), “E-commerce: the role of familiarity and trust”, Omega, 28(6), 725-737.
  • Gil-Cordero, E. et al. (2020), “Cryptocurrencies as a financial tool: Acceptance factors”, Mathematics, 8(11), 1974.
  • Güven, V. & E. Şahinöz (2021), Blokzincir, Kripto Paralar, Bitcoin, Kronik Bookstore.
  • Hair, J.F. et al. (2011), “PLS-SEM: Indeed a silver bullet”, Journal of Marketing Theory and Practice, 19(2), 139-152.
  • Hair, J.F. et al. (2016), A primer on partial least squares structural equation modeling (PLS-SEM), Sage Publications.
  • Hazarika, B.B. & R. Mousavi (2022), “Review of Cross-Border E-Commerce and Directions for Future Research”, Journal of Global Information Management (JGIM), 30(2), 1-18.
  • Holsapple, C.W. & J. Wu (2007), “User acceptance of virtual worlds: The hedonic framework”, ACM SIGMIS Database: The Database for Advances in Information Systems, 38(4), 86-89.
  • Interbrand (2021), Best Global Brands, <https://interbrand.com/best-global-brands/>, 20.01.2022.
  • J.P. Morgan (2022), Opportunities in the Metaverse, <https://www.jpmorgan.com/content/dam/jpm/treasury-services/documents/opportunities-in-the-metaverse.pdf>, 18.02.2022.
  • Jeon, H.J. et al. (2021), Blockchain and AI Meet in the Metaverse, Intech Open.
  • Karahanna, E. et al. (1999), “Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs”, MIS Quarterly, 23(2), 183-213.
  • Kim, J. (2021), “Advertising in the Metaverse: Research Agenda”, Journal of Interactive Advertising, 1-4.
  • Kong, F. et al. (2021), “Technology acceptance model of mobile social media among Chinese college students”, Journal of Technology in Behavioral Science, 6(2), 365-369.
  • Kotarba, M. (2017), “Measuring Digitalization: Key Metrics”, Foundations of Management, 9(1), 123-138.
  • Kotler, P. et al. (2021), Marketing 5.0: Technology for Humanity, Wiley Publications.
  • Lee, L.H. et al. (2021), “All one needs to know about Metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda”, Journal of Latex Class Files, 14(8), 4010359.
  • Lee, D.Y. & M.R. Lehto (2013), “User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model”, Computers & Education, 61, 193-208.
  • Linares, M. et al. (2021), “Proposing a TAM-SDT-Based Model to Examine the User Acceptance of Massively Multiplayer Online Games”, International Journal of Environmental Research and Public Health, 18(7), 3687.
  • Madasoğlu, P. (2021), 10 Best E-Commerce Growth Statistics You Should Know, <https://popupsmart.com/blog/ecommerce-growth-statistics>, 20.01.2022.
  • Manis, K.T. & D. Choi (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.
  • Min, S. et al. (2019), “Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model”, Journal of Travel & Tourism Marketing, 36(7), 770-783.
  • NDTV (2021), Metaverse, NFT, and DeFi: Here's Why They Matter In The Blockchain World, <https://www.ndtv.com/business/metaverse-nft-and-defi-heres-why-they-matter-in-the-blockchain-world-2654667>, 19.01.2022.
  • Oberlo (2021), 19 Powerful E-Commerce Statistics That Will Guide Your Strategy in 2021, <https://www.oberlo.com/blog/ecommerce-statistics>, 20.02.2022.
  • Qin, Z. & Z. Qin (2009), Introduction to E-commerce, New York, NY: Springer.
  • Parida, V. (2018), Digitalization, Digitala Vetenskapliga Arkivet.
  • Pärssinen, M. et al. (2018), “Is blockchain ready to revolutionize online advertising?”, IEEE Access, 6, 54884-54899.
  • Parviainen, P. et al. (2017), “Tackling the digitalization challenge: how to benefit from digitalization in practice”, International Journal of Information Systems and Project Management, 5(1), 63-77.
  • Pavlou, P.A. (2003), “Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model”, International Journal of Electronic Commerce, 7(3), 101-134.
  • Pavlou, P.A. & D. Gefen (2004), “We are building effective online marketplaces with institution-based trust”, Information Systems Research, 15(1), 37-59.
  • Plouffe, C.R. et al. (2001), “Richness versus parsimony in modeling technology adoption decisions - understanding merchant adoption of a smart card-based payment system”, Information Systems Research, 12(2), 208-222.
  • Popescu, A.D. (2021), “Non-Fungible Tokens (NFT)-Innovation beyond the craze”, in: 5th International Conference on Innovation in Business, Economics & Marketing Research (IBEM-2021) Proceedings of Engineering & Technology-PET (26-30), Vol. 66.
  • Rafique, H. et al. (2020), “Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM)”, Computers & Education, 145, 103732.
  • Ramadhiana, I.N. et al. (2021), “User Acceptance of Virtual Hotel Operator Applications in Indonesia”, in: IOP Conference Series: Materials Science and Engineering (12-27), IOP Publishing, 1115(1), March.
  • Supergucci (2022), <https://superplastic.co/pages/gucci-supergucci>, 20.02.2022.
  • Sagnier, C. et al. (2020), “User acceptance of virtual reality: an extended technology acceptance model”, International Journal of Human-Computer Interaction, 36(11), 993-1007.
  • Salloum, S.A. et al. (2019), “Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model”, IEEE Access, 7, 128445-128462.
  • Schierz, P.G. et al. (2010), “Understanding consumer acceptance of mobile payment services: An empirical analysis”, Electronic Commerce Research and Applications, 9(3), 209-216.
  • Smart, M. et al. (2007), Metaverse Roadmap Overview, Acceleration Studies Foundation.
  • Statista (2021), A number of Internet Users Worldwide from 2005 to 2021, <https://www.statista.com/statistics/273018/number-of-internet-users-worldwide/>, 15.01.2022.
  • Sukendro, S. et al. (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), e05410.
  • Swan, M. (2015), Blockchain: Blueprint for A New Economy, O'Reilly Media Inc.
  • Toraman, Y. (2022a), “Dijital Türk Lirasının (DTL) Kullanım Kabulü: Teknoloji Kabul Modeli (TKM) ve Planlı Davranış Teorisi (PDT) Çerçevesinde İncelenmesi”, Sosyoekonomi, 30(54), 357-376.
  • Toraman, Y. (2022b), “User Acceptance of Metaverse: Insights from Technology Acceptance Model (TAM) and Planned Behavior Theory (PBT)”, EMAJ: Emerging Markets Journal, 12(1), 67-75.
  • Venkatesh, V. & F.D. Davis (1996), “A model of the antecedents of perceived ease of use: Development and test”, Decision Sciences, 27(3), 451-481.
  • Venkatesh, V. (2000), “Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model”, Inf.Syst.Res., 11(4), 342-365.
  • Venkatesh, V. & M.G. Morris (2000), “Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior”, MIS Quarterly, 24(1), 115-139.
  • Venkatesh, V. & H. Bala (2008), “Technology acceptance model 3 and a research agenda on interventions”, Decision Sciences, 39(2), 273-315.
  • Westerman, G. et al. (2012), The Digital Advantage: How digital leaders outperform their peers in every industry, MIT Sloan Management and Capgemini.
  • Yükselen, C. (2017), Pazarlama İlkeleri - Yönetim Örnek Olaylar, Detay Bookstore.

Metaverse Kullanıcı Kabulü: Teknoloji Kabul Modeli (TKM) Çerçevesinde e-Ticaret Üzerine Bir Analiz

Year 2023, Volume: 31 Issue: 55, 85 - 104, 31.01.2023
https://doi.org/10.17233/sosyoekonomi.2023.01.05

Abstract

Teknolojinin gelişimi insanların elektronik kanallara yoğunlaşmasına neden olmuştur. İnternet kullanımı ve e-ticaret yıllar içinde gelişimini sürdürmektedir. Böylece günlük yaşam daha fazla dijitalleşmiş olup yenilikçi girişimcileri de yeni teknolojiler bulmaya yönlendirmektedir. İlk olarak dünya blokzincir teknolojileri ile tanışmıştır. Yakın bir zamanda ise Metaverse ve NFT gibi terimler popüler hale gelmiştir. Mevcut çalışma Metaverse ve NFT terimlerini TKM ile açıklamaya çalışmaktadır. Bu bağlamda Smart PLS 3 programı kullanılmıştır. Analiz sonuçlarına göre, algılanan uyumluluk, eğlence ve güvenin algılanan fayda üzerinde anlamlı ve pozitif bir etkiye sahip olup aynı zamanda aracılık etkisi kabul edilmiş diğer hipotezler ise reddedilmiştir. Sonrasında tüm sonuçlar analize uygun olarak yorumlanmıştır.

References

  • Acar, Z. & B. Kucukaltan (2019), “Exploring Impacts of Blockchain Technology on Logistics and Supply Chain Management in Light of Management Theories”, 17th International Logistics and Supply Chain Congress, Istanbul.
  • Agustina, D. (2019), “Extension of Technology Acceptance Model (Etam): Adoption of Cryptocurrency Online Trading Technology”, Jurnal Ekonomi, 24(2), 272-287.
  • Alalwan, A.A. et al. (2018), “Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust”, Technology in Society, 55, 100-110.
  • Alambaigi, A. & I. Ahangari (2016), “Technology acceptance model (TAM) as a predictor model for explaining agricultural experts behavior in acceptance of ICT”, International Journal of Agricultural Management and Development (IJAMAD), 6(1047-2017-1663), 235-247.
  • Al-Sharafi, M.A. et al. (2016), “The effect of security and privacy perceptions on customers’ trust to accept internet banking services: An extension of TAM”, Journal of Engineering and Applied sciences, 11(3), 545-552.
  • 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.
  • Chandra, S. et al. (2010), “Evaluating the role of trust in consumer adoption of mobile payment systems: An empirical analysis”, Communications of the Association for Information Systems, 27(1), 29.
  • Chen, Z. & A.J. Dubinsky (2003), “A conceptual model of perceived customer value in e‐commerce: A preliminary investigation”, Psychology & Marketing, 20(4), 323-347.
  • Coppola, D. (2021), A number of digital buyers worldwide from 2014 to 2021, <https://www.statista.com/statistics/251666/number-of-digital-buyers-worldwide/>, 19.01.2022.
  • Davis, F.D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, 13(3), 319-340.
  • Davis, F.D. (1993), “User acceptance of information technology: system characteristics, user perceptions and behavioral impacts”, International Journal of Man-Machine Studies, 38(3), 475-487.
  • Davis, F.D. et al. (1989), “User acceptance of computer technology: A comparison of two theoretical models”, Management Science, 35(8), 982-1003.
  • Duan, H. et al. (2021), “Metaverse for social good: A university campus prototype”, in: Proceedings of the 29th ACM International Conference on Multimedia (153-161), October.
  • El-Darwiche, B. et al. (2012), Maximizing The Impact of Digitization, Originally published by Booz & Company.
  • Fussell, S.G. & D. Truong (2022), “Using virtual reality for dynamic learning: an extended technology acceptance model”, Virtual Reality, 26, 249-267.
  • Geçit, B.B. & E. Taskin (2020), “The Effect of Value and Service Perceptions on Customer Loyalty for Electronic Commerce Sites; Mediator Role of Satisfaction and Trust”, Business Management Dynamics, 10(5), 1-12.
  • Gefen, D. (2000), “E-commerce: the role of familiarity and trust”, Omega, 28(6), 725-737.
  • Gil-Cordero, E. et al. (2020), “Cryptocurrencies as a financial tool: Acceptance factors”, Mathematics, 8(11), 1974.
  • Güven, V. & E. Şahinöz (2021), Blokzincir, Kripto Paralar, Bitcoin, Kronik Bookstore.
  • Hair, J.F. et al. (2011), “PLS-SEM: Indeed a silver bullet”, Journal of Marketing Theory and Practice, 19(2), 139-152.
  • Hair, J.F. et al. (2016), A primer on partial least squares structural equation modeling (PLS-SEM), Sage Publications.
  • Hazarika, B.B. & R. Mousavi (2022), “Review of Cross-Border E-Commerce and Directions for Future Research”, Journal of Global Information Management (JGIM), 30(2), 1-18.
  • Holsapple, C.W. & J. Wu (2007), “User acceptance of virtual worlds: The hedonic framework”, ACM SIGMIS Database: The Database for Advances in Information Systems, 38(4), 86-89.
  • Interbrand (2021), Best Global Brands, <https://interbrand.com/best-global-brands/>, 20.01.2022.
  • J.P. Morgan (2022), Opportunities in the Metaverse, <https://www.jpmorgan.com/content/dam/jpm/treasury-services/documents/opportunities-in-the-metaverse.pdf>, 18.02.2022.
  • Jeon, H.J. et al. (2021), Blockchain and AI Meet in the Metaverse, Intech Open.
  • Karahanna, E. et al. (1999), “Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs”, MIS Quarterly, 23(2), 183-213.
  • Kim, J. (2021), “Advertising in the Metaverse: Research Agenda”, Journal of Interactive Advertising, 1-4.
  • Kong, F. et al. (2021), “Technology acceptance model of mobile social media among Chinese college students”, Journal of Technology in Behavioral Science, 6(2), 365-369.
  • Kotarba, M. (2017), “Measuring Digitalization: Key Metrics”, Foundations of Management, 9(1), 123-138.
  • Kotler, P. et al. (2021), Marketing 5.0: Technology for Humanity, Wiley Publications.
  • Lee, L.H. et al. (2021), “All one needs to know about Metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda”, Journal of Latex Class Files, 14(8), 4010359.
  • Lee, D.Y. & M.R. Lehto (2013), “User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model”, Computers & Education, 61, 193-208.
  • Linares, M. et al. (2021), “Proposing a TAM-SDT-Based Model to Examine the User Acceptance of Massively Multiplayer Online Games”, International Journal of Environmental Research and Public Health, 18(7), 3687.
  • Madasoğlu, P. (2021), 10 Best E-Commerce Growth Statistics You Should Know, <https://popupsmart.com/blog/ecommerce-growth-statistics>, 20.01.2022.
  • Manis, K.T. & D. Choi (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.
  • Min, S. et al. (2019), “Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model”, Journal of Travel & Tourism Marketing, 36(7), 770-783.
  • NDTV (2021), Metaverse, NFT, and DeFi: Here's Why They Matter In The Blockchain World, <https://www.ndtv.com/business/metaverse-nft-and-defi-heres-why-they-matter-in-the-blockchain-world-2654667>, 19.01.2022.
  • Oberlo (2021), 19 Powerful E-Commerce Statistics That Will Guide Your Strategy in 2021, <https://www.oberlo.com/blog/ecommerce-statistics>, 20.02.2022.
  • Qin, Z. & Z. Qin (2009), Introduction to E-commerce, New York, NY: Springer.
  • Parida, V. (2018), Digitalization, Digitala Vetenskapliga Arkivet.
  • Pärssinen, M. et al. (2018), “Is blockchain ready to revolutionize online advertising?”, IEEE Access, 6, 54884-54899.
  • Parviainen, P. et al. (2017), “Tackling the digitalization challenge: how to benefit from digitalization in practice”, International Journal of Information Systems and Project Management, 5(1), 63-77.
  • Pavlou, P.A. (2003), “Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model”, International Journal of Electronic Commerce, 7(3), 101-134.
  • Pavlou, P.A. & D. Gefen (2004), “We are building effective online marketplaces with institution-based trust”, Information Systems Research, 15(1), 37-59.
  • Plouffe, C.R. et al. (2001), “Richness versus parsimony in modeling technology adoption decisions - understanding merchant adoption of a smart card-based payment system”, Information Systems Research, 12(2), 208-222.
  • Popescu, A.D. (2021), “Non-Fungible Tokens (NFT)-Innovation beyond the craze”, in: 5th International Conference on Innovation in Business, Economics & Marketing Research (IBEM-2021) Proceedings of Engineering & Technology-PET (26-30), Vol. 66.
  • Rafique, H. et al. (2020), “Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM)”, Computers & Education, 145, 103732.
  • Ramadhiana, I.N. et al. (2021), “User Acceptance of Virtual Hotel Operator Applications in Indonesia”, in: IOP Conference Series: Materials Science and Engineering (12-27), IOP Publishing, 1115(1), March.
  • Supergucci (2022), <https://superplastic.co/pages/gucci-supergucci>, 20.02.2022.
  • Sagnier, C. et al. (2020), “User acceptance of virtual reality: an extended technology acceptance model”, International Journal of Human-Computer Interaction, 36(11), 993-1007.
  • Salloum, S.A. et al. (2019), “Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model”, IEEE Access, 7, 128445-128462.
  • Schierz, P.G. et al. (2010), “Understanding consumer acceptance of mobile payment services: An empirical analysis”, Electronic Commerce Research and Applications, 9(3), 209-216.
  • Smart, M. et al. (2007), Metaverse Roadmap Overview, Acceleration Studies Foundation.
  • Statista (2021), A number of Internet Users Worldwide from 2005 to 2021, <https://www.statista.com/statistics/273018/number-of-internet-users-worldwide/>, 15.01.2022.
  • Sukendro, S. et al. (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), e05410.
  • Swan, M. (2015), Blockchain: Blueprint for A New Economy, O'Reilly Media Inc.
  • Toraman, Y. (2022a), “Dijital Türk Lirasının (DTL) Kullanım Kabulü: Teknoloji Kabul Modeli (TKM) ve Planlı Davranış Teorisi (PDT) Çerçevesinde İncelenmesi”, Sosyoekonomi, 30(54), 357-376.
  • Toraman, Y. (2022b), “User Acceptance of Metaverse: Insights from Technology Acceptance Model (TAM) and Planned Behavior Theory (PBT)”, EMAJ: Emerging Markets Journal, 12(1), 67-75.
  • Venkatesh, V. & F.D. Davis (1996), “A model of the antecedents of perceived ease of use: Development and test”, Decision Sciences, 27(3), 451-481.
  • Venkatesh, V. (2000), “Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model”, Inf.Syst.Res., 11(4), 342-365.
  • Venkatesh, V. & M.G. Morris (2000), “Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior”, MIS Quarterly, 24(1), 115-139.
  • Venkatesh, V. & H. Bala (2008), “Technology acceptance model 3 and a research agenda on interventions”, Decision Sciences, 39(2), 273-315.
  • Westerman, G. et al. (2012), The Digital Advantage: How digital leaders outperform their peers in every industry, MIT Sloan Management and Capgemini.
  • Yükselen, C. (2017), Pazarlama İlkeleri - Yönetim Örnek Olaylar, Detay Bookstore.
There are 65 citations in total.

Details

Primary Language English
Subjects Economics
Journal Section Articles
Authors

Yavuz Toraman 0000-0002-5196-1499

Barış Batuhan Geçit 0000-0002-1354-1231

Publication Date January 31, 2023
Submission Date March 17, 2022
Published in Issue Year 2023 Volume: 31 Issue: 55

Cite

APA Toraman, Y., & Geçit, B. B. (2023). User Acceptance of Metaverse: An Analysis for e-Commerce in the Framework of Technology Acceptance Model (TAM). Sosyoekonomi, 31(55), 85-104. https://doi.org/10.17233/sosyoekonomi.2023.01.05
AMA Toraman Y, Geçit BB. User Acceptance of Metaverse: An Analysis for e-Commerce in the Framework of Technology Acceptance Model (TAM). Sosyoekonomi. January 2023;31(55):85-104. doi:10.17233/sosyoekonomi.2023.01.05
Chicago Toraman, Yavuz, and Barış Batuhan Geçit. “User Acceptance of Metaverse: An Analysis for E-Commerce in the Framework of Technology Acceptance Model (TAM)”. Sosyoekonomi 31, no. 55 (January 2023): 85-104. https://doi.org/10.17233/sosyoekonomi.2023.01.05.
EndNote Toraman Y, Geçit BB (January 1, 2023) User Acceptance of Metaverse: An Analysis for e-Commerce in the Framework of Technology Acceptance Model (TAM). Sosyoekonomi 31 55 85–104.
IEEE Y. Toraman and B. B. Geçit, “User Acceptance of Metaverse: An Analysis for e-Commerce in the Framework of Technology Acceptance Model (TAM)”, Sosyoekonomi, vol. 31, no. 55, pp. 85–104, 2023, doi: 10.17233/sosyoekonomi.2023.01.05.
ISNAD Toraman, Yavuz - Geçit, Barış Batuhan. “User Acceptance of Metaverse: An Analysis for E-Commerce in the Framework of Technology Acceptance Model (TAM)”. Sosyoekonomi 31/55 (January 2023), 85-104. https://doi.org/10.17233/sosyoekonomi.2023.01.05.
JAMA Toraman Y, Geçit BB. User Acceptance of Metaverse: An Analysis for e-Commerce in the Framework of Technology Acceptance Model (TAM). Sosyoekonomi. 2023;31:85–104.
MLA Toraman, Yavuz and Barış Batuhan Geçit. “User Acceptance of Metaverse: An Analysis for E-Commerce in the Framework of Technology Acceptance Model (TAM)”. Sosyoekonomi, vol. 31, no. 55, 2023, pp. 85-104, doi:10.17233/sosyoekonomi.2023.01.05.
Vancouver Toraman Y, Geçit BB. User Acceptance of Metaverse: An Analysis for e-Commerce in the Framework of Technology Acceptance Model (TAM). Sosyoekonomi. 2023;31(55):85-104.

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