Exploring Students' Acceptance in Using Immersive Virtual Reality (IVR) and Metaverse Integrated Learning Environment
Author
Abstract
Suggested Citation
DOI: 10.22610/imbr.v17i3(I).4702
Download full text from publisher
References listed on IDEAS
- Agus Wibowo & Ari Saptono & Bagus Shandy Narmaditya & Mohammad Sofwan Effendi & Saparuddin Mukhtar & Suparno & Muhammad Hakimi Mohd Shafiai, 2024. "Using technology acceptance model to investigate digital business intention among Indonesian students," Cogent Business & Management, Taylor & Francis Journals, vol. 11(1), pages 2314253-231, December.
- Szabolcs Nagy & Noemi Hajdu, 2021.
"Consumer Acceptance of the Use of Artificial Intelligence in Online Shopping: Evidence From Hungary,"
The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 155-155, February.
- Szabolcs Nagy & Noemi Hajdu, 2022. "Consumer acceptance of the use of artificial intelligence in online shopping: evidence from Hungary," Papers 2301.01277, arXiv.org.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ayoub Asad & Balawi Ayman, 2022. "A New Perspective for Marketing: The Impact of Social Media on Customer Experience," Journal of Intercultural Management, Sciendo, vol. 14(1), pages 87-103, March.
- Rahman, Muhammad Sabbir & Bag, Surajit & Hossain, Md Afnan & Abdel Fattah, Fadi Abdel Muniem & Gani, Mohammad Osman & Rana, Nripendra P., 2023. "The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
- Sufyan Habib & Nawaf N. Hamadneh, 2021. "Impact of Perceived Risk on Consumers Technology Acceptance in Online Grocery Adoption amid COVID-19 Pandemic," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
- Pejman Ebrahimi & Khadija Aya Hamza & Eva Gorgenyi-Hegyes & Hadi Zarea & Maria Fekete-Farkas, 2021. "Consumer Knowledge Sharing Behavior and Consumer Purchase Behavior: Evidence from E-Commerce and Online Retail in Hungary," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
- repec:bcp:journl:v:9:y:2025:i:23:p:23-32 is not listed on IDEAS
- Md. Emam Hossain & Subarna Biswas, 2024. "Technology acceptance model for understanding consumer’s behavioral intention to use artificial intelligence based online shopping platforms in Bangladesh," SN Business & Economics, Springer, vol. 4(12), pages 1-61, December.
- Faruk Ahmeti & Hykmete Bajrami, 2024. "Exploring the Impact of Technology Acceptance Model Constructs on Consumer Behavior in SMEs: with A focus on E-Marketing Strategies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 66-88.
- Şahin Gökçearslan & Elif Esiyok & Kemal Gurkan Kucukergin, 2025. "Understanding the intention to use artificial intelligence chatbots in education: The role of individual innovativeness and AI trust among university students," Journal of Computational Social Science, Springer, vol. 8(3), pages 1-23, August.
- Márk Recskó & Márta Aranyossy, 2024. "User acceptance of social network-backed cryptocurrency: a unified theory of acceptance and use of technology (UTAUT)-based analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
- Saifulnazirah Bongsu & Wan Nur Mardhiah Nik Mohamed & Wan Nazihah Wan Mohamed, 2025. "Determinants of Students’ Intention to Use AI-Powered Writing Tools in Academic Writing," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3s), pages 5616-5630, July.
- Sharma, Asmita & Goel, Anushka & Taneja, Udita, 2026. "AI adoption and digital entrepreneurial intentions: A theory of planned behaviour and technology acceptance model approach," Technology in Society, Elsevier, vol. 84(C).
- Shrawan Kumar Trivedi & Pradipta Patra & Praveen Ranjan Srivastava & Justin Zuopeng Zhang & Leven J. Zheng, 2024. "What prompts consumers to purchase online? A machine learning approach," Electronic Commerce Research, Springer, vol. 24(4), pages 2953-2989, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rnd:arimbr:v:17:y:2025:i:3:p:386-393. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Muhammad Tayyab (email available below). General contact details of provider: https://ojs.amhinternational.com/index.php/imbr .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/rnd/arimbr/v17y2025i3p386-393.html