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| Title: | NFT之購買意願研究：以偶像NFT及品牌NFT為例
The intention to purchase NFT: examples of idol NFT and brand NFT |
| Authors: | 林仁祥
Lin, Ren-Xiang |
| Contributors: | 楊亨利
Yang, Heng-Li
林仁祥
Lin, Ren-Xiang |
| Keywords: | 非同質化代幣
購買意願
網路外部性理論
知覺利益與犧牲框架
NFT自我效能
偶像迷戀
NFT品牌聲譽
Non-fungible tokens
Purchase intention
Network externalities
Perceived benefits and sacrifices
NFT self-efficacy
Idol attachment
NFT brand reputation |
| Date: | 2023 |
| Issue Date: | 2023-03-09 18:38:55 (UTC+8) |
| Abstract: | 由於資訊科技的蓬勃發展，令許多新興的資訊技術及應用快速萌芽，例如：區塊鏈、加密貨幣、元宇宙以及近期爆紅的非同質化代幣 (NFT)。NFT係具有唯一性、不可替代性、無法分割等特性的數位代幣。透過與數位或實體內容的連結，能在區塊鏈上代表特定的數位或實體資產。NFT的話題在台灣興起後，不少名人偶像也搭上這股熱潮發行NFT，引起粉絲爭相搶購。對於帶著偶像光環的NFT，究竟有什麼令人嚮往的特質，是本研究探討的主軸之一。此外，讓NFT造成話題的原因，來自知名品牌NFT驚人的成交天價。然而，品牌NFT有哪些令人趨之若鶩的特點，是另一項的研究主軸。
因此，本研究將研究情境劃分為粉絲購買平價偶像NFT與富人購買天價品牌NFT。借鑑網路外部性理論、知覺利益與犧牲的研究框架，找出可能之考量因素並將NFT自我效能的干擾效果納入考慮。藉此，提出兩個研究模型，並分別以問卷調查及情境實驗的方式進行驗證。研究結果指出，粉絲的偶像NFT購買意願受到強連結影響、偶像迷戀及期望收益的正向影響並受到經濟成本的負向影響，而NFT自我效能則無顯著的干擾效果。富人的品牌NFT購買意願則受到強連結影響及期望收益的正向影響並受到加密貨幣價格波動性的負向影響，而NFT自我效能僅對弱連結影響有正向的干擾效果，其餘則無。除此之外，由網路外部性、知覺利益及犧牲的構面層次檢視，在粉絲及富人的NFT購買意願影響上也有些不同發現。
The advancement of information technology has continuously made rapid growth for innovative applications, for instance, non-fungible tokens (NFT). NFT is a type of digital token which owns cryptographically unique, irreplaceable, and indivisible. It could be represented as a specific digital or physical asset on blockchain through connecting to corresponding content. Since the popularity of NFT in Taiwan, many idols have issued their own NFTs, causing fans to snap up them. Besides, the trend of NFT originated from the incredible price of brand NFTs. Therefore, this study attempts to identify potential determinants of purchase intention for idol and brand NFT.
There are different research contexts, including fans purchasing idol NFT and the rich purchasing brand NFT. Drawing on theory of network externalities, perceived benefits and sacrifices framework to explore the influential factors and to treat NFT self-efficacy as the moderating factor. The questionnaire survey and scenario-based experiment are applied to examine the idol and brand NFT models, respectively. The results reveal that strong-tie influence, idol attachment, and expected return are the positive determinants and economic cost is the negative determinant for purchasing idol NFT. The moderating effects of NFT self-efficacy are not found. Additionally, strong-tie influence and expected return are the positive determinants and price volatility of cryptocurrency is the negative determinant for purchasing brand NFT. The NFT self-efficacy only has the positive moderating effect on weak-tie influence. Moreover, there are interest insights between fans and the rich NFT purchasing intention via the lens of network externalities, perceived benefits and sacrifices. |
| Reference: | 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. |
| Description: | 博士
國立政治大學
資訊管理學系
102356507 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0102356507 |
| Data Type: | thesis |
| Appears in Collections: | [資訊管理學系] 學位論文
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