How to cite this paper
Rabaai, A., Maati, S., Muhammad, N & Eljamal, E. (2024). Barriers to invest in NFTs: An innovation resistance theory perspective.Uncertain Supply Chain Management, 12(1), 610-614.
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Chen, C.-C., Chang, C.-H., & Hsiao, K.-L. (2022). Exploring the factors of using mobile ticketing applications: Perspectives from innovation resistance theory. Journal of Retailing and Consumer Services, 67, 102974. https://doi.org/10.1016/j.jretconser.2022.102974
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Hair, J. F., Hollingsworth, C., Randolph, A., & Chong, A. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Heidenreich, S., & Handrich, M. (2015). What about Passive Innovation Resistance? Investigating Adoption-Related Behavior from a Resistance Perspective. Journal of Product Innovation Management, 32(6), 878–903. https://doi.org/10.1111/jpim.12161
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
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Ho, R. C., & Song, B. L. (2023). User Acceptance Towards Non-Fungible Token (NFT) as the FinTech for Investment Management in the Metaverse [Chapter]. Strategies and Opportunities for Technology in the Metaverse World; IGI Global. https://doi.org/10.4018/978-1-6684-5732-0.ch005
Houser, K., & Holden, J. T. (2022). Navigating the Non-Fungible Token (SSRN Scholarly Paper No. 4055535). Social Science Research Network. https://papers.ssrn.com/abstract=4055535
Idelberger, F., & Mezei, P. (2022). Non-fungible tokens (SSRN Scholarly Paper No. 4081396). Social Science Research Network. https://papers.ssrn.com/abstract=4081396
Joachim, V., Spieth, P., & Heidenreich, S. (2018). Active innovation resistance: An empirical study on functional and psychological barriers to innovation adoption in different contexts. Industrial Marketing Management, 71, 95–107. https://doi.org/10.1016/j.indmarman.2017.12.011
Kastrenakes, J. (2021). Beeple sold an NFT for $69 million. https://www.theverge.com/2021/3/11/22325054/beeple-christies-nft-sale-cost-everydays-69-million
Kaur, P., Dhir, A., Singh, N., Sahu, G., & Almotairi, M. (2020). An innovation resistance theory perspective on mobile payment solutions. Journal of Retailing and Consumer Services, 55, 102059. https://doi.org/10.1016/j.jretconser.2020.102059
Kenny, D. (2018). Moderator Variables. http://davidakenny.net/cm/moderation.htm
KFAS. (2019). FinTech: Future of Financial services. https://www.kfas.com/media/studies
Khalil, A., Shankar, A., Bodhi, R., Behl, A., & Ferraris, A. (2022). Why Do People Resist Drone Food Delivery Services? An Innovation Resistance Theory Perspective. IEEE Transactions on Engineering Management, 1–11. https://doi.org/10.1109/TEM.2022.3202485
Kushwah, S., Dhir, A., & Sagar, M. (2019). Understanding consumer resistance to the consumption of organic food. A study of ethical consumption, purchasing, and choice behaviour. Food Quality and Preference, 77, 1–14. https://doi.org/10.1016/j.foodqual.2019.04.003
Laukkanen, T. (2016). Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking. Journal of Business Research, 69(7), 2432–2439. https://doi.org/10.1016/j.jbusres.2016.01.013
Lee, H. (2020). Home IoT resistance: Extended privacy and vulnerability perspective. Telematics and Informatics, 49, 101377. https://doi.org/10.1016/j.tele.2020.101377
Leong, L.-Y., Hew, T.-S., Ooi, K.-B., & Lin, B. (2021). A meta-analysis of consumer innovation resistance: Is there a cultural invariance? Industrial Management & Data Systems, 121(8), 1784–1823. https://doi.org/10.1108/IMDS-12-2020-0741
Leong, L.-Y., Hew, T.-S., Ooi, K.-B., & Wei, J. (2020). Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach. International Journal of Information Management, 51, 102047. https://doi.org/10.1016/j.ijinfomgt.2019.102047
Malik, N., Wei, Y. “Max,” Appel, G., & Luo, L. (2022). Blockchain technology for creative industries: Current state and research opportunities. International Journal of Research in Marketing. https://doi.org/10.1016/j.ijresmar.2022.07.004
Mani, Z., & Chouk, I. (2018). Consumer Resistance to Innovation in Services: Challenges and Barriers in the Internet of Things Era. Journal of Product Innovation Management, 35(5), 780–807. https://doi.org/10.1111/jpim.12463
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