|
1. Ali, A. (2011). Predicting individual investors-intention to invest: an experimental analysis of attitude as a mediator. International Journal of Economics and Management Engineering, 5(2), 157-164. 2. Anderson, J.C., & Gerbing, D.W. (1988). Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. 3. Ante, L. (2022). Non-fungible token (NFT) markets on the Ethereum blockchain: temporal development, cointegration and interrelations. Economics of Innovation and New Technology, In Press, 1-19. 4. Armstrong, J.S., & Overton, T.S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396-402. 5. Arslanian, H. (2022). The Book of Crypto: the Complete Guide to Understanding Bitcoin, Cryptocurrencies and Digital Assets. London, UK: Palgrave Macmillan. 6. Bagozzi, R.P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. 7. Bamakan, S.M.H., Nezhadsistani, N., Bodaghi, O., & Qu, Q. (2022). Patents and intellectual property assets as non-fungible tokens; key technologies and challenges. Scientific Reports, 12(1), 1-13. 8. Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215. 9. Bao, H., & Roubaud, D. (2022). Non-fungible token: a systematic review and research agenda. Journal of Risk and Financial Management, 15(5), 1-9. 10. BBC News, (2021). Jack Dorsey's first ever tweet sells for $2.9m. https://www.bbc. com/news/business-56492358. Accessed 07 July 2022. 11. Buterin, V. (2014). Ethereum Whitepaper. https://ethereum.org/en/whitepaper/. Accessed 07 July 2022. 12. Çağlayan Aksoy, P., & Özkan Üner, Z. (2021). NFTs and copyright: challenges and opportunities. Journal of Intellectual Property Law & Practice, 16(10), 1115-1126. 13. Chae, H., Kim, S., Lee, J., & Park, K. (2020). Impact of product characteristics of limited edition shoes on perceived value, brand trust, and purchase intention; focused on the scarcity message frequency. Journal of Business Research, 120, 398-406. 14. Chen, C.-S., Lu, H.-P., & Luor, T. (2018). A new flow of location based service mobile games: non-stickiness on Pokémon Go. Computers in Human Behavior, 89, 182-190. 15. Chen, L., Chen, G., Ma, S., & Wang, S. (2022). Idol worship: how does it influence fan consumers' brand loyalty? Frontiers in Psychology, 13, 1-14. 16. Chen, Y.-C., Shang, R.-A., & Lin, A.-K. (2008). The intention to download music files in a P2P environment: consumption value, fashion, and ethical decision perspectives. Electronic Commerce Research and Applications, 7(4), 411-422. 17. Cho, K.-H., & Lee, W.-b. (2022). A study on influencing factors on intention to adopt NFTs using UTAUT. The Journal of the Korea Contents Association, 22(3), 17-34. 18. Choi, J., & Kim, S. (2016). Is the smartwatch an IT product or a fashion product? a study on factors affecting the intention to use smartwatches. Computers in Human Behavior, 63, 777-786. 19. Christian, R., Cenisius, V.L., Darmawan, M.B., Ferrero, J.C., & Yansen, E. (2022). Impact of user-generated content on intentions to invest in NFTs. Budapest International Research and Critics Institute: Humanities and Social Sciences, 5(2), 17039-17048. 20. Compeau, D.H., C. (1995). Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19(2), 189-211. 21. Das, D., Bose, P., Ruaro, N., Kruegel, C., & Vigna, G. (2021). Understanding security issues in the NFT ecosystem. arXiv. https://arxiv.org/abs/2111.08893. 22. Dong, X., & Wang, T. (2018). Social tie formation in Chinese online social commerce: the role of IT affordances. International Journal of Information Management, 42, 49-64. 23. Dowling, M. (2022a). Fertile LAND: pricing non-fungible tokens. Finance Research Letters, 44, 1-5. 24. Dowling, M. (2022b). Is non-fungible token pricing driven by cryptocurrencies? Finance Research Letters, 44, 1-6. 25. Entriken, W., Shirley, D., Evans, J., & Sachs, N. (2018). EIP-721: Non-Fungible Token Standard. https://eips.ethereum.org/EIPS/eip-721. Accessed 07 July 2022. 26. Fitzsimons, G.J. (2008). Death to dichotomizing. Journal of Consumer Research, 35(1), 5-8. 27. Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. 28. Fowler, A., & Pirker, J. (2021). Tokenfication - the potential of non-fungible tokens (NFT) for game development. 2021 Annual Symposium on Computer-Human Interaction in Play (CHI PLAY), Virtual Event, Austria: Association for Computing Machinery, 152-157. 29. Galuszka, P. (2015). New economy of fandom. Popular Music and Society, 38(1), 25-43. 30. Giles, D.C., & Maltby, J. (2004). The role of media figures in adolescent development: relations between autonomy, attachment, and interest in celebrities. Personality and Individual Differences, 36(4), 813-822. 31. Guadamuz, A. (2021). The treachery of images: non-fungible tokens and copyright. Journal of Intellectual Property Law & Practice, 16(12), 1367-1385. 32. Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2010). Multivariate Data Analysis. Upper Saddle River, NJ: Pearson Education. 33. 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. 34. Henseler, J., Ringle, C.M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. 35. Hsu, C.-L., & Lin, J.C.-C. (2018). Exploring factors affecting the adoption of Internet of things services. Journal of Computer Information Systems, 58(1), 49-57. 36. Huang, Y.-A., Lin, C., & Phau, I. (2015). Idol attachment and human brand loyalty. European Journal of Marketing, 49(7/8), 1234-1255. 37. 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. 38. Katz, M.L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American Economic Review, 75(3), 424-440. 39. Khelladi, I., Lejealle, C., Vessal, S.R., & Castellano, S. (2021). Individuals' motivations to purchase virtual clothes. 2021 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), Marrakech, Morocco: IEEE, 1-5. 40. Kim, H.-W., Chan, H.C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation. Decision Support Systems, 43(1), 111-126. 41. Kim, Y.J., & Han, J. (2014). Why smartphone advertising attracts customers: a model of Web advertising, flow, and personalization. Computers in Human Behavior, 33, 256-269. 42. Ko, H., Son, B., Lee, Y., Jang, H., & Lee, J. (2022). The economic value of NFT: evidence from a portfolio analysis using mean–variance framework. Finance Research Letters, 47, 1-10. 43. Ku, H.H., Kuo, C.C., & Kuo, T.W. (2012). The effect of scarcity on the purchase intentions of prevention and promotion motivated consumers. Psychology & Marketing, 29(8), 541-548. 44. Kurniawan, P.I. (2021). Effect of expected return, self efficacy, and perceived risk on investment intention: an empirical study on accounting master degree in Udayana university, Bali. Journal of Accounting, Finance and Auditing Studies, 7(1), 40-55. 45. Lee, C.-C., Hsiao, K.-L., & Chen, C.-C. (2020). Exploring the benefit and sacrifice factors of virtual reality gameplay. Frontiers in Psychology, 11, 1-8. 46. Lee, J., Lee, J.-N., & Tan, B.C.Y. (2015). Antecedents of cognitive trust and affective distrust and their mediating roles in building customer loyalty. Information Systems Frontiers, 17(1), 159-175. 47. Levin, D.Z., & Cross, R. (2004). The strength of weak ties you can trust: the mediating role of trust in effective knowledge transfer. Management Science, 50(11), 1477-1490. 48. Li, Y. (2014). The impact of disposition to privacy, website reputation and website familiarity on information privacy concerns. Decision Support Systems, 57, 343-354. 49. Lim, W.M. (2020). An equity theory perspective of online group buying. Journal of Retailing and Consumer Services, 54, 1-11. 50. Lin, C.-P., & Huang, H.-Y. (2021). Modeling investment intention in online P2P lending: an elaboration likelihood perspective. International Journal of Bank Marketing, 39(7), 1134-1149. 51. Lin, T.-C., Wu, S., Hsu, J.S.-C., & Chou, Y.-C. (2012). The integration of value-based adoption and expectation–confirmation models: an example of IPTV continuance intention. Decision Support Systems, 54(1), 63-75. 52. Lown, J.M. (2011). Development and validation of a financial self-efficacy scale. Financial Counseling and Planning, 22(2), 54-63. 53. Mattila, A.S., & Enz, C.A. (2002). The role of emotions in service encounters. Journal of Service Research, 4(4), 268-277. 54. Nakamoto, S. (2008). Bitcoin: a peer-to-peer electronic cash system. https://bitcoin .org/bitcoin.pdf. Accessed 07 July 2022. 55. NFTGo. (2023). https://nftgo.io/. Accessed 04 January 2023. 56. Park, C.W., & Lessig, V.P. (1977). Students and housewives: differences in susceptibility to reference group influence. Journal of Consumer Research, 4(2), 102-110. 57. Pearson, R. (2010). Fandom in the digital era. Popular Communication, 8(1), 84-95. 58. Pilkington, M., Olleros, F.X., & Zhegu, M. (2016). Research Handbook on Digital Transformations. Cheltenham, UK: Edward Elgar Publishing. 59. Podsakoff, P.M., Todor, W.D., Grover, R.A., & Huber, V.L. (1984). Situational moderators of leader reward and punishment behaviors: fact or fiction? Organizational Behavior and Human Performance, 34(1), 21-63. 60. Radomski, W., Cooke, A., Castonguay, P., Therien, J., Binet, E., & Sandford, R. (2018). EIP-1155: Multi Token Standard. https://eips.ethereum.org/EIPS/eip-1155. Accessed 07 July 2022. 61. Regner, F., Urbach, N., & Schweizer, A. (2019). NFTs in practice–non-fungible tokens as core component of a blockchain-based event ticketing application. 2019 International Conference on Information Systems (ICIS), Munich, Germany: AIS eLibrary, 1-17. 62. Ruangkanjanases, A., & Wutthisith, M. (2018). Predicting intention to purchase digital stickers in an application for instant communications on mobile devices: a comparative study. Journal of Telecommunication, Electronic and Computer Engineering, 10(1-10), 75-80. 63. Schriesheim, C.A. (1979). The similarity of individual directed and group directed leader behavior descriptions. The Academy of Management Journal, 22(2), 345-355. 64. Shang, S.S.C., Wu, Y.-L., & Sie, Y.-J. (2017). Generating consumer resonance for purchase intention on social network sites. Computers in Human Behavior, 69, 18-28. 65. Shiau, W.-L., Yuan, Y., Pu, X., Ray, S., & Chen, C.C. (2020). Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories. Industrial Management & Data Systems, 120(9), 1659-1689. 66. Shim, A.Y.K. (2020). Antecedents of microblogging users' purchase intention toward celebrities' merchandise: perspectives of virtual community and fan economy. Journal of Psychological Research, 2(2), 11-26. 67. Snyder, C.R., & Fromkin, H.L. (1977). Abnormality as a positive characteristic: the development and validation of a scale measuring need for uniqueness. Journal of Abnormal Psychology, 86(5), 518. 68. Sun, Y., Liu, L., Peng, X., Dong, Y., & Barnes, S.J. (2014). Understanding Chinese users' continuance intention toward online social networks: an integrative theoretical model. Electronic Markets, 24(1), 57-66. 69. Torkzadeh, G., & van Dyke, T.P. (2001). Development and validation of an Internet self-efficacy scale. Behaviour & Information Technology, 20(4), 275-280. 70. Valeonti, F., Bikakis, A., Terras, M., Speed, C., Hudson-Smith, A., & Chalkias, K. (2021). Crypto collectibles, museum funding and OpenGLAM: challenges, opportunities and the potential of non-fungible tokens. Applied Sciences, 11(21), 1-19. 71. Vidal-Tomás, D. (2022). The new crypto niche: NFTs, play-to-earn, and metaverse tokens. Finance Research Letters, 47, 1-13. 72. Vogelsteller, F., & Buterin, V. (2015). EIP-20: Token Standard. https://eips.ethereum .org/EIPS/eip-20. Accessed 07 July 2022. 73. Vohs, K.D., Mead, N.L., & Goode, M.R. (2006). The psychological consequences of money. Science, 314(5802), 1154-1156. 74. Wang, J.-J., Wang, L.-Y., & Wang, M.-M. (2018). Understanding the effects of eWOM social ties on purchase intentions: a moderated mediation investigation. Electronic Commerce Research and Applications, 28, 54-62. 75. Wang, Q., Li, R., Wang, Q., & Chen, S. (2021). Non-fungible token (NFT): overview, evaluation, opportunities and challenges. arXiv. https://arxiv.org/abs/2105.07447. 76. Wang, Y.-S., Yeh, C.-H., & Liao, Y.-W. (2013). What drives purchase intention in the context of online content services? the moderating role of ethical self-efficacy for online piracy. International Journal of Information Management, 33(1), 199-208. 77. Wilson, K.B., Karg, A., & Ghaderi, H. (2021). Prospecting non-fungible tokens in the digital economy: stakeholders and ecosystem, risk and opportunity. Business Horizons, 65(5), 657-670. 78. Wu, W.-Y., Lu, H.-Y., Wu, Y.-Y., & Fu, C.-S. (2012). The effects of product scarcity and consumers' need for uniqueness on purchase intention. International Journal of Consumer Studies, 36(3), 263-274. 79. Xu, X., Li, Q., Peng, L., Hsia, T.-L., Huang, C.-J., & Wu, J.-H. (2017). The impact of informational incentives and social influence on consumer behavior during Alibaba's online shopping carnival. Computers in Human Behavior, 76, 245-254. 80. Yang, H.-L., & Lin, R.-X. (2017). Determinants of the intention to continue use of SoLoMo services: consumption values and the moderating effects of overloads. Computers in Human Behavior, 73, 583-595. 81. Yang, H.-L., & Lin, R.-X. (2018). The impacts of SoLoMo services technostress on anxiety. Journal of Electronic Commerce Research, 19(2), 186-200. 82. Yu, J., Lee, H., Ha, I., & Zo, H. (2017). User acceptance of media tablets: an empirical examination of perceived value. Telematics and Informatics, 34(4), 206-223. 83. Zhao, H., Jiang, L., & Su, C. (2020). To defend or not to defend? how responses to negative customer review affect prospective customers' distrust and purchase intention. Journal of Interactive Marketing, 50, 45-64. 84. Zhou, J., Yhee, Y., Kim, E., Kim, J.-Y., & Koo, C. (2021). Sustainable tourism cities: linking idol attachment to sense of place. Sustainability, 13(5), 1-21. 85. BLOCKTEMPO. (2022a). 2022 台灣藝人&網紅《十大 NFT 排行榜》多數已破發,但有一個漲了28倍!. https://www.blocktempo.com/taiwan-nft-leaderboard-with-star-or-kol/. Accessed 28 December 2022. 86. BLOCKTEMPO. (2022b). Yuga Labs的無聊猿猴元宇宙野心 : 邁向 Web3 一代的漫威宇宙. https://www.blocktempo.com/yuga-labs-ambition-on-bayc-metaverse-head-into-web3-ver-marvel-universe/. Accessed 28 December 2022. 87. Christie's. (2021). 佳士得所拍賣之加密龐克NFT. https://www.christies.com/lot/ lot--6316969/. Accessed 28 December 2022. 88. INSIDE. (2022). 「杰倫熊」NFT「PhantaBear」與江振誠合作,推出限定用餐體驗. https://www.inside.com.tw/article/28133-echox-phantabear-raw-taipei-nft. Accessed 07 July 2022. 89. iThome. (2022). 一隻猴子圖片要4000萬 ? 憑什麼 ? NFT成功的原因. https:// ithelp.ithome.com.tw/articles/10296029?sc=iThelpR. Accessed 28 December 2022. 90. Sotheby's. (2021). 蘇富比所拍賣之無聊猿NFT. https://www.sothebys.com/en/buy/ auction/2021/ape-in/101-bored-ape-yacht-club. Accessed 28 December 2022. 91. TVBS新聞網. (2022). 慶周杰倫出專輯!老粉砸百萬買72隻「杰倫熊NFT」力挺. https://news.tvbs.com.tw/entertainment/1835660. Accessed 07 July 2022. 92. 今周刊. (2022). 周杰倫NFT創世界紀錄!1萬隻起價2.8萬「幻想熊」40分鐘賣完!背後推手是他. https://www.businesstoday.com.tw/article/category/183012/ post/202201260007/. Accessed 07 July 2022. 93. 商業周刊. (2022). 10大台灣熱議NFT來了!周董潮牌「幻想熊」只排第二,誰排第一?. https://www.businessweekly.com.tw/management/blog/3009021. Accessed 07 July 2022.
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