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博碩士論文 etd-0512123-135054 詳細資訊
Title page for etd-0512123-135054
論文名稱
Title
以交易成本理論結合從眾行為及感知價值探討NFT購買意圖
Exploring NFT Purchase Intension Based on Transaction Cost Theory, Herd Behavior and Perceived Value
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
96
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2023-06-02
繳交日期
Date of Submission
2023-06-12
關鍵字
Keywords
非同質化代幣、交易成本理論、網路外部性、從眾行為、感知價值
NFT, Transaction Cost, Network Externalities, Herd Behavior, Perceived Value
統計
Statistics
本論文已被瀏覽 78 次,被下載 13
The thesis/dissertation has been browsed 78 times, has been downloaded 13 times.
中文摘要
2021年,NFT市場獲得大量關注並大幅成長,有許多知名NFT交易事件,引起NFT市場上出現許多不同類型的項目。本研究目的為探索投資者在獲取有關NFT之相關資訊及其購買過程前後,是否會因產生出資產專屬性以及不確定性的想法而顯著提升交易成本,並藉由市場上交易人數的多寡程度探討投資者是否會受到他人之想法的影響而形成從眾行為。最終透過上述之交易成本及從眾行為結合投資者對於購買NFT之感知價值驗證是否能夠對NFT產生購買意圖。因NFT屬新興的資產類別,過去鮮少有學術研究討論其購買意圖,希望透過本研究之分析結果,為NFT項目方、交易平台及投資者提供理論面及實務面上之建議。

本研究共回收255份有效線上問卷。研究結果顯示,資產專屬性之學習以及環境不確定性、過程不確定性和資安不確定會正向影響交易成本。本研究採用交易人數及感知互補性代表網路外部性,而僅交易人數會正向影響投資者模仿他人及消減自我資訊的程度,並進而促使投資者形成規範性的從眾行為。最終,研究結果證實交易成本的提升會降低投資者對於NFT的購買意圖,感知價值及規範性從眾則是會提升投資者之NFT購買意圖。
Abstract
In 2021, the NFT market received a lot of attention and grew substantially. There were many well-known NFT transaction events, which cause many different types of projects to appear in the NFT market. The purpose of this study is to explore whether investors' transaction costs are significantly increased due to the perception of asset specificity and uncertainty when obtaining relevant information about NFTs and throughout the purchasing process. Additionally, by examining the extent of market participation, we aim to investigate whether investors are influenced by the opinions of others and exhibit herding behavior. Finally, through the combination of transaction costs, herding behavior, and investors' perceived value in purchasing NFTs, we seek to validate the purchase intention of NFTs. Due to NFTs being an emerging asset class, there has been limited academic research on purchase intentions. Therefore, it is our hope that the findings of this study can provide theoretical and practical recommendations for NFT project creators, trading platforms, and investors.

A total of 255 valid online questionnaires were collected in this study. The research results indicate that learning of asset specificity, environment uncertainty, process uncertainty and security uncertainty positively affect transaction costs. This study uses the number of traders and perceived complementarity as indicators of network externalities. It’s found that only the number of traders positively affect the degree to which investors imitate others and discount own information, and then promote investors to form normative conformity. Finally, the research results confirm that the increase in transaction costs will reduce investors' purchase intentions for NFTs, while perceived value and normative conformity will increase investors' NFT purchase intentions.
目次 Table of Contents
論文審定書 i
摘要 ii
Abstract iii
目 錄 iv
圖 次 vi
表 次 vii
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 2
第三節 研究問題與目的 3
第四節 研究方法與流程 3
第二章 文獻探討 5
第一節 非同質化代幣 (Non-Fungible Token, NFT) 5
第二節 交易成本理論 (Transaction Cost Theory) 7
第三節 從眾行為 (Herding Behavior) 10
第四節 網路外部性 (Network Externality) 11
第五節 感知價值 (Perceived Value) 12
第三章 研究方法 14
第一節 研究模型 14
第二節 研究假說 15
第三節 操作型定義 21
第四節 研究設計 22
第四章 資料分析 33
第一節 樣本基本資料分析 33
第二節 衡量模型 36
第三節 結構模型及假說驗證 48
第五章 結論與建議 52
第一節 研究結果與建議 52
第二節 理論及實務意涵 55
第三節 研究限制 57
第四節 未來研究方向 58
參考文獻 60
附錄–本研究正式問卷 72
參考文獻 References
Adomavicius, G., & Tuzhilin, A. (2005). Personalization technologies: a process-oriented perspective. Communications of the ACM, 48(10), 83-90.
Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13(4), 411-454.
Alba, J., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R., Sawyer, A., & Wood, S. (1997). Interactive home shopping: consumer, retailer, and manufacturer incentives to participate in electronic marketplaces. Journal of Marketing, 61(3), 38-53.
Alnawas, I., & Aburub, F. (2016). The effect of benefits generated from interacting with branded mobile apps on consumer satisfaction and purchase intentions. Journal of Retailing and Consumer Services, 31, 313-322.
Ante, L. (2022). Non-fungible token (NFT) markets on the Ethereum blockchain: Temporal development, cointegration and interrelations. Economics of Innovation and New Technology, 1-19.
Ante, L. (2021). Smart contracts on the blockchain–A bibliometric analysis and review. Telematics and Informatics, 57, 101519.
Arif, I., Aslam, W., & Ali, M. (2016). Students’ dependence on smartphones and its effect on purchasing behavior. South Asian Journal of Global Business Research, 5(2), 285-302.
Ariffin, S. K., Mohan, T., & Goh, Y. N. (2018). Influence of consumers’ perceived risk on consumers’ online purchase intention. Journal of Research in Interactive Marketing, 12(3), 309-327.
Ashman, H., Brailsford, T., Cristea, A. I., Sheng, Q. Z., Stewart, C., Toms, E. G., & Wade, V. (2014). The ethical and social implications of personalization technologies for e- learning. Information & Management, 51(6), 819-832.
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644-656.
Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797-817.
Bao, H., & Roubaud, D. (2021). Recent Development in Fintech: Non-Fungible Token. FinTech, 1(1), 44-46.
Bikhchandani, S., Hirshleifer, D., & Welch, I. (1998). Learning from the behavior of others: Conformity, fads, and informational cascades. Journal of Economic Perspectives, 12(3), 151-170.
Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM, 43(11), 98-105.
Blocher, J. (2016). Network externalities in mutual funds. Journal of Financial Markets, 30, 1-26.
Bridges, E., & Florsheim, R. (2008). Hedonic and utilitarian shopping goals: The online experience. Journal of Business Research, 61(4), 309-314.
Brown, T. L. (2008). The dynamics of government-to-government contracts. Public Performance & Management Review, 31(3), 364-386.
Carbone, L. P., & Haeckel, S. H. (1994). Engineering customer experiences. Marketing Management, 3(3), 8-19.
Cen, Y., & Li, L. (2019). Effects of network externalities on user loyalty to online B2B platforms: an empirical study. Journal of Enterprise Information Management.
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.
Chang, A., Chaudhuri, S., & Jayaratne, J. (1997). Rational herding and the spatial clustering of bank branches: an empirical analysis.
Chen, Y. F. (2008). Herd behavior in purchasing books online. Computers in Human Behavior, 24(5), 1977-1992.
Chen, S., & Chaiken, S. (1999). The heuristic-systematic model in its broader context.
Chircu, A. M., & Mahajan, V. (2006). Managing electronic commerce retail transaction costs for customer value. Decision Support Systems, 42(2), 898-914.
Chiu, C. M., Cheng, H. L., Huang, H. Y., & Chen, C. F. (2013). Exploring individuals’ subjective well-being and loyalty towards social network sites from the perspective of network externalities: The Facebook case. International Journal of Information Management, 33(3), 539-552.
Chiu, C. M., Hsu, M. H., Lai, H., & Chang, C. M. (2012). Re-examining the influence of trust on online repeat purchase intention: The moderating role of habit and its antecedents. Decision Support Systems, 53(4), 835-845.
Chiu, C. M., Wang, E. T., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers' repeat purchase intentions in B2C e‐commerce: the roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114.
Clements, M. T. (2004). Direct and indirect network effects: are they equivalent?. International Journal of Industrial Organization, 22(5), 633-645.
Coase, R. H. (1995). The nature of the firm. In Essential readings in economics (pp. 37- 54). Palgrave, London.
Cooper, R. G. (1988). The new product process: a decision guide for management. Journal of Marketing Management, 3(3), 238-255.
Cronin Jr, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193-218.
Dang, Y. M., Zhang, Y. G., & Morgan, J. (2017). Integrating switching costs to information systems adoption: An empirical study on learning management systems. Information Systems Frontiers, 19, 625-644.
David, R. J., & Han, S. K. (2004). A systematic assessment of the empirical support for transaction cost economics. Strategic Management Journal, 25(1), 39-58.
Devaraj, S., Fan, M., & Kohli, R. (2006). Examination of online channel preference: using the structure-conduct-outcome framework. Decision Support Systems, 42(2), 1089- 1103.
Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51(3), 629.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307-319.
Dowling, M. (2022). Is non-fungible token pricing driven by cryptocurrencies?. Finance Research Letters, 44, 102097.
Duan, W., Gu, B., & Whinston, A. B. (2009). Informational cascades and software adoption on the internet: an empirical investigation. MIS Quarterly, 23-48.
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70-88.
Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474.
Fei, M., Tan, H., Peng, X., Wang, Q., & Wang, L. (2021). Promoting or attenuating? An eye-tracking study on the role of social cues in e-commerce livestreaming. Decision Support Systems, 142, 113466.
Fornell, C., & Larcker, D.F. (1981). Evaluating Structural Equation Models with
Unobservable Variables and Measurement Error. Journal of Marketing Research,
18(1), 39-50.
Gupta, S., & Mela, C. F. (2008). What is a free customer worth? Armchair calculations of nonpaying customers' value can lead to flawed strategies. Harvard Business Review, 86(11), 102-9.
Hair, Joe F., Christian M. Ringle, and Marko Sarstedt. "PLS-SEM: Indeed a silver bullet." Journal of Marketing Theory and Practice 19.2 (2011): 139-152.
Hirshleifer, D., Subrahmanyam, A., & Titman, S. (1994). Security analysis and trading patterns when some investors receive information before others. The Journal of Finance, 49(5), 1665-1698.
Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132-140.
Hossain, M. A., Akter, S., & Rahman, S. (2021). Customer behavior of online group buying: an investigation using the transaction cost economics theory perspective. Electronic Markets, 1-15.
John, G., & Weitz, B. A. (1988). Forward integration into distribution: an empirical test of transaction cost analysis. JL Econ. & Org., 4, 337.
Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2002). Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. Journal of Business Research, 55(6), 441-450.
Kandampully, J., Zhang, T. C., & Bilgihan, A. (2015). Customer loyalty: a review and future directions with a special focus on the hospitality industry. International Journal of Contemporary Hospitality Management, 27(3), 379-414.
Kang, W., Shao, B., & Chen, H. (2022). What influences users’ continuance intention of internet wealth management services? A perspective from network externalities and herding. Electronic Commerce Research, 1-34.
Karjaluoto, H., Shaikh, A. A., Saarijärvi, H., & Saraniemi, S. (2019). How perceived value drives the use of mobile financial services apps. International Journal of Information Management, 47, 252-261.
Katz, M. L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American Economic Review, 75(3), 424-440.
Kauffman, R. J., & Li, X. (2003, October). Payoff externalities, informational cascades and managerial incentives: a theoretical framework for IT adoption herding. In Proceedings of the 2003 INFORMS Conference on IS and Technology, Atlanta, GA (Vol. 2003).
Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers' emotion, perceived risk and purchase intention: Based on the stimulus‐ organism‐response model. Journal of Research in Interactive Marketing.
Kim, S. S., & Son, J. Y. (2009). Out of dedication or constraint? A dual model of post- adoption phenomena and its empirical test in the context of online services. MIS Quarterly, 49-70.
Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value- added services. Computers in Human Behavior, 25(4), 887-896.
Lascu, D. N., & Zinkhan, G. (1999). Consumer conformity: review and applications for marketing theory and practice. Journal of Marketing Theory and Practice, 7(3), 1- 12.
Lee, J. H., & Im, J. E. (2008). The effect of perceived justice on postcomplaint behavior in the internet open market-Focused on the moderating effect of fashion involvement. Journal of the Korean Society of Clothing and Textiles, 32(9), 1427-1437.
Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141.
Li, C. Y., & Fang, Y. H. (2022). The more we get together, the more we can save? A transaction cost perspective. International Journal of Information Management, 62, 102434.
Liang, T. P., & Huang, J. S. (1998). An empirical study on consumer acceptance of products in electronic markets: a transaction cost model. Decision Support Systems, 24(1), 29-43.
Liang, T. P., Lin, Y. L., & Hou, H. C. (2021). What drives consumers to adopt a sharing platform: An integrated model of value-based and transaction cost theories. Information & Management, 58(4), 103471.
Lin, C. H., Sher, P. J., & Shih, H. Y. (2005). Past progress and future directions in conceptualizing customer perceived value. International Journal of Service Industry Management, 16(4), 318-336.
Lin, C. P., & Bhattacherjee, A. (2008). Elucidating individual intention to use interactive information technologies: The role of network externalities. International Journal of Electronic Commerce, 13(1), 85-108.
Lin, C. P., & Bhattacherjee, A. (2009). Understanding online social support and its antecedents: A socio-cognitive model. The Social Science Journal, 46(4), 724-737.
Ling, K. C., Daud, D. B., Piew, T. H., Keoy, K. H., & Hassan, P. (2011). Perceived risk, perceived technology, online trust for the online purchase intention in Malaysia. International journal of Business and Management, 6(6), 167.
Liu, P., Li, M., Dai, D., & Guo, L. (2021). The effects of social commerce environmental characteristics on customers’ purchase intentions: The chain mediating effect of customer-to-customer interaction and customer-perceived value. Electronic Commerce Research and Applications, 48, 101073.
Malone, T. W., Yates, J., & Benjamin, R. I. (1987). Electronic markets and electronic hierarchies. Communications of the ACM, 30(6), 484-497.
Milian, E. Z., Spinola, M. D. M., & de Carvalho, M. M. (2019). Fintechs: A literature review and research agenda. Electronic Commerce Research and Applications, 34, 100833.
Muchnik, L., Aral, S., & Taylor, S. J. (2013). Social influence bias: A randomized experiment. Science, 341(6146), 647-651.
Nadini, M., Alessandretti, L., Di Giacinto, F., Martino, M., Aiello, L. M., & Baronchelli, A. (2021). Mapping the NFT revolution: market trends, trade networks, and visual features. Scientific Reports, 11(1), 1-11.
NFTGO. (2023, February 14). NFT Annual Report 2023. Retrieved from https://nftgo.io/zh/research/reports/2023-nft-annual-report
NonFungible (2022, October 17). Quarterly NFT Market Report Q3 · 2022. Retrieved from https://nonfungible.com/reports/2022/en/q3-quarterly-nft-market-report
Nunnally, J. (1978) Psychometric Methods. 2nd Edition, McGraw-Hill, New York.
Park, Y., & Koo, Y. (2016). An empirical analysis of switching cost in the smartphone market in South Korea. Telecommunications Policy, 40(4), 307-318.
Patterson, P. G., & Spreng, R. A. (1997). Modelling the relationship between perceived value, satisfaction and repurchase intentions in a business‐to‐business, services context: an empirical examination. International Journal of Service Industry Management, 8(5), 414-434.
Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 623-656.
Promsivapallop, P., Jones, P., & Roper, A. (2015). Factors influencing hotel outsourcing decisions in Thailand: modifications to the transaction cost economics approach. Journal of Hospitality & Tourism Research, 39(1), 32-56.
Powell, J. (2009). 33 Million people in the room: How to create, influence, and run a successful business with social networking. Que Publishing.
Qasim, H., & Abu-Shanab, E. (2016). Drivers of mobile payment acceptance: The impact of network externalities. Information Systems Frontiers, 18(5), 1021-1034.
Richardson, M., & Domingos, P. (2002, July). Mining knowledge-sharing sites for viral marketing. In Proceedings of the eighth ACM SIGKDD international conference on Knowledge Discovery and Data Mining (pp. 61-70).
Scharfstein, D. S., & Stein, J. C. (1990). Herd behavior and investment. The American Economic Review, 465-479.
Schmidt, C. G., & Wagner, S. M. (2019). Blockchain and supply chain relations: A transaction cost theory perspective. Journal of Purchasing and Supply Management, 25(4), 100552.
Selnes, F. (1993). An examination of the effect of product performance on brand reputation, satisfaction and loyalty. European Journal of Marketing, 27(9), 19-35.
Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159-170.
Sriram, V., Krapfel, R., & Spekman, R. (1992). Antecedents to buyer-seller collaboration: An analysis from the buyer's perspective. Journal of Business Research.
Sun, H. (2013). A longitudinal study of herd behavior in the adoption and continued use of technology. Mis Quarterly, 1013-1041.
Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220.
Teo, T. S., & Yu, Y. (2005). Online buying behavior: a transaction cost economics perspective. Omega, 33(5), 451-465.
Tian, X., Song, Y., Luo, C., Zhou, X., & Lev, B. (2021). Herding behavior in supplier innovation crowdfunding: Evidence from Kickstarter. International Journal of Production Economics, 239, 108184.
Tongxiao (Catherine) Zhang, Agarwal, R., & Lucas Jr, H. C. (2011). The value of IT- enabled retailer learning: personalized product recommendations and customer store loyalty in electronic markets. Mis Quarterly, 859-881.
Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science, 185(4157), 1124-1131.
Vedadi, A., & Warkentin, M. (2020). Can secure behaviors be contagious? A two-stage investigation of the influence of herd behavior on security decisions. Journal of the Association for Information Systems, 21(2), 3.
Walden, E. A., & Browne, G. J. (2009). Sequential adoption theory: a theory for understanding herding behavior in early adoption of novel technologies. Journal of the Association for Information Systems, 10(1), 1.
Wang, Q., Li, R., Wang, Q., & Chen, S. (2021). Non-fungible token (NFT): Overview, evaluation, opportunities and challenges. arXiv preprint arXiv:2105.07447.
Wang, Z., Zhengzhi Gordon, G. U. A. N., Hou, F., Li, B., & Zhou, W. (2019). What determines customers’ continuance intention of FinTech? Evidence from YuEbao. Industrial Management & Data Systems.
Welch, I. (1992). Sequential sales, learning, and cascades. The Journal of Finance, 47(2), 695-732.
Wigand, R. T. (1997). Electronic commerce: Definition, theory, and context. The Information Society, 13(1), 1-16.
Williamson, O. E. (1975). Markets and hierarchies: analysis and antitrust implications: a study in the economics of internal organization. University of Illinois at Urbana- Champaign's Academy for Entrepreneurial Leadership Historical Research Reference in Entrepreneurship.
Williamson, O. E. (1979). Transaction-cost economics: the governance of contractual relations. The journal of Law and Economics, 22(2), 233-261.
Williamson, O. E. (1981). The economics of organization: The transaction cost approach. American Journal of Sociology, 87(3), 548-577.
Williamson, O. E. (1989). Transaction cost economics. Handbook of Industrial Organization, 1, 135-182.
Williamson, O. E. (1991). Comparative economic organization: The analysis of discrete structural alternatives. Administrative Science Quarterly, 269-296.
Wu, J., Li, H., Lin, Z., & Zheng, H. (2017). Competition in wearable device market: the effect of network externality and product compatibility. Electronic Commerce Research, 17, 335-359.
Wu, L. Y., Chen, K. Y., Chen, P. Y., & Cheng, S. L. (2014). Perceived value, transaction cost, and repurchase-intention in online shopping: A relational exchange perspective. Journal of Business Research, 67(1), 2768-2776.
Yen, Y. S., & Wu, F. S. (2016). Predicting the adoption of mobile financial services: The impacts of perceived mobility and personal habit. Computers in Human Behavior, 65, 31-42.
Yu, T. W., & Chen, T. J. (2018). Online travel insurance purchase intention: A transaction cost perspective. Journal of Travel & Tourism Marketing, 35(9), 1175-1186.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.
Zhang, K. Z., Zhao, S. J., Cheung, C. M., & Lee, M. K. (2014). Examining the influence of online reviews on consumers' decision-making: A heuristic–systematic model. Decision Support Systems, 67, 78-89.
Zhou, T., & Lu, Y. (2011). Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience. Computers in Human Behavior, 27(2), 883-889.
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