跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.141) 您好!臺灣時間:2026/08/24 01:07
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:洛子謙 Renzo Del Giudice Lopez
研究生(外文):RENZO DEL GIUDICE LOPEZ
論文名稱:應用技術驗收模型分析比特幣購買意願
論文名稱(外文):Analysis of the Purchase Intention of Bitcoin by Applying the Technology Acceptance Model (TAM)
指導教授:施武榮施武榮引用關係
指導教授(外文):SHIH, WU-RONG
口試委員:吳建興黃惠苓
口試委員(外文):WU, CHIEN-HSINGHUANG, HUI-LING
口試日期:2018-07-23
學位類別:碩士
校院名稱:南臺科技大學
系所名稱:商管專業學院
學門:商業及管理學門
學類:其他商業及管理學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:英文
論文頁數:58
中文關鍵詞:比特幣
外文關鍵詞:Bitcoin
相關次數:
  • 被引用被引用:0
  • 點閱點閱:449
  • 評分評分:
  • 下載下載:79
  • 收藏至我的研究室書目清單書目收藏:0
比特幣是近年來的現象,引起了許多政府,機構和消費者的關注和興趣。比特幣是最有利可圖和最需要的加密貨幣,代表了全球信託貨幣的替代品;每天獲得更多投資者。
本研究試圖探索和解釋使用技術接受模型(TAM)激發比特幣購買意圖的過程,了解其背景和技術特徵,分析使潛在投資者俱有吸引力的加密貨幣的因素。 TAM模型為本研究提供了進一步可靠和一致的因素。
為了探索上述因素,開發了一個定量問卷,旨在從選定的目標人群中獲得答案。從文獻綜述來看,所考慮的構造測量是信任和風險作為外部因素,感知易用性和感知有用性作為消費者動機,購買意圖作為消費者行為。
將使用統計方法(例如描述性統計,探索性因子分析(EFA),多元線性回歸分析和中介分析)分析先前因素中的每一個。將對結果進行解釋,為本研究中提出的假設提供驗證。
從樣本人群中可以看出,比特幣的使用易用性和感知有用性對其購買意願有顯著影響,但風險和信任對購買意願沒有顯著影響。

關鍵詞:比特幣,購買意願,信任,風險,技術接受模型
Bitcoin is a recent-years phenomenon that is getting the attention and interest from many governments, institutions and consumers. Bitcoin stands as the most profitable and demanded cryptocurrency, representing an alternative to the trust-based currencies all over the world; obtaining more investors day by day.
This research tries to explore and explain the process that motivates the purchase intention of Bitcoin using the Technological Acceptance Model (TAM), learning about its background and technological features, analyzing the factors that make attractive this cryptocurrency to potential investors. The TAM model provide us further reliable and consistent factors to be analyzed in this research.
In order to explore the factors mentioned above, a quantitative questionnaire is developed, aiming to get answers from a selected target population. From the literature review, the construct measurements considered are Trust and Risk as External Factors, Perceived Ease of Use and Perceived Usefulness as Consumer Motivation, and Purchase Intention as Consumer Behavior.
Each one of the previous factors are going to be analyzed using statistical methods such as Descriptive Statistics, Exploratory Factor Analysis (EFA), Multiple Linear Regression Analysis, and Mediation Analysis. The results are going to be explained, providing validation to the hypotheses formulated in this research.
From the sample population, it has been found the significant effects of Perceived Ease of Use and Perceived Usefulness of Bitcoin on its Purchase Intention, nonetheless Risk and Trust don’t have significant impact on Purchase Intention.

Keywords: Bitcoin, Purchase Intention, Trust, Risk, Technology Acceptance Model
Chapter1 – Introduction ------------------------------------------------------------------- 1
1.1. Research Background ------------------------------------------------------------------ 1
1.1.1. Bitcoin Definition --------------------------------------------------------------- 1
1.1.2. Bitcoin Structure ----------------------------------------------------------------- 1
1.1.3. Bitcoin Acceptance and Consume Evolution -------------------------------------- 2
1.2. Research Motivation -------------------------------------------------------------------- 2
1.3. Research Objectives -------------------------------------------------------------------- 3
1.4. Research Questions --------------------------------------------------------------------- 4
Chapter 2 – Literature Review ---------------------------------------------------------------- 5
2.1. Bitcoin ---------------------------------------------------------------------------------- 5
2.2. Technology Acceptance Model ---------------------------------------------------------- 6
2.2.1. Perceived Ease to Use ----------------------------------------------------------------- 8
2.2.2. Perceived Usefulness ----------------------------------------------------------------- 8
2.2.3. Trust---------------------------------------------------------------------------------- 9
2.2.4. Risk ----------------------------------------------------------------------------------- 9
2.2.5. Purchase Intention -------------------------------------------------------------------- 10
Chapter 3 – Research Methodology --------------------------------------------------------- 11
3.1. Conceptual Framework ----------------------------------------------------------------- 11
3.2. Research Hypotheses ------------------------------------------------------------------- 12
3.3. Questionnaire Design ------------------------------------------------------------------- 13
3.3.1. Screening Question ------------------------------------------------------------------- 13
3.3.2. Demographic Questions -------------------------------------------------------------- 13
3.3.3. Construct Measurements ------------------------------------------------------------ 14
3.4. Statistical Methods --------------------------------------------------------------------- 16
3.4.1. Computing and Analysis of Data Collected --------------------------------------------- 16
3.4.2. Descriptive Statistics ----------------------------------------------------------------- 16
3.4.3. Exploratory Factor Analysis (EFA) ----------------------------------------------------- 16
3.4.4. Multiple Linear Regression ------------------------------------------------------------ 17
3.4.4. Mediation Analysis -------------------------------------------------------------------- 17
3.5. Sampling Plan --------------------------------------------------------------------------- 17
Chapter 4 – Results ------------------------------------------------------------------------ 18
4.1. Descriptive Analysis for Demographic Information --------------------------------------- 18
4.1.1. Gender -------------------------------------------------------------------------------- 18
4.1.2. Age ----------------------------------------------------------------------------------- 19
4.1.3. Educational Level ---------------------------------------------------------------------- 20
4.1.4. Occupation ---------------------------------------------------------------------------- 21
4.1.5. Average Monthly Income -------------------------------------------------------------- 22
4.1.6. Nationality --------------------------------------------------------------------------- 23
4.2. Exploratory Factor Analysis ------------------------------------------------------------- 24
4.2.1. KMO and Bartlett’s Test --------------------------------------------------------------- 26
4.2.2. Number of Factors and Construct Validity --------------------------------------------- 27
4.2.3. Reliability Analysis -------------------------------------------------------------------- 28
4.2.4. Summated Scales and Factor Analysis Scores ----------------------------------------- 30
4.2.5. Correlation Analysis – Hypotheses Testing --------------------------------------------- 31
4.3. Multiple Linear Regression Analysis ----------------------------------------------------- 33
4.4. Mediation Analysis Between Perceived Ease of Use, Perceived Usefulness and Purchase Intention ----- 38
Chapter 5 – Conclusions -------------------------------------------------------------------- 41
5.1. Research Findings ----------------------------------------------------------------------- 41
5.1.1. Research Questions and Hypotheses Results ------------------------------------------ 42
5.1.2. Research Objectives and Research Findings ------------------------------------------- 45
5.2. Managerial Implications ----------------------------------------------------------------- 49
5.3. Recommendations for Further Studies --------------------------------------------------- 50
References ---------------------------------------------------------------------------------- 51
Appendix ------------------------------------------------------------------------------------ 56
Questionnaire – English Version -------------------------------------------------------------- 56

•Acheson, N. (viewed January 26, 2018). What is Bitcoin? Retrieved from https://www.coindesk.com/information/what-is-bitcoin/
•Ben Sasson, E., Chiesa, A., Garman, C., Green, M., Miers, I., Tromer, E., & Virza, M. (2014). Zerocash: Decentralized Anonymous Payment from Bitcoin. 2014 IEEE Symposium of Security and Privacy. San Jose, CA, USA, May 18-21, 2014. 459-474. DOI 10.1109/SP.2014.36
•Blackwell, R., Miniard, P., & Engel, J. (2001). Consumer Behaviour (9th ed.). Ohio: South-Western.
•Bugembe, J. (2010). Perceived Usefulness, Perceived Ease of Use, Attitude and Actual Usage of a New Financial Management System: A Case of Uganda National Examinations Board. Master Degree Thesis, Makerere Universtity, Kampala, Uganda.
•Chen, Y. (2018). Blockchain Tokens and the Potential Democratization of Entrepreneurship Innovation. Business Horizons, 61 (4), 567-575
•Chew, K.W., Shingi, P.M., & Ahmad, M.I. (2006). TAM Derived Construct of Perceived Customer Value and Online Purchase Behavior: An Empirical Exploration. IFIP International Federation for Information Processing, 226, 215-227.
•Chiu, J. & Koeppl, T. (2017). The Economics of Cryptocurrencies – Bitcoin and Beyond. Retreived from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3048124
•Chokun, J. (viewed June 18, 2018). Who Accepts Bitcoins as Payment? List of Companies, Stores, Shops. Retrieved from https://99bitcoins.com/who-accepts-bitcoins-payment-companies-stores-take-bitcoins/
•Dachyar, M. & Banjarnahor, L. (2017). Factor Influencing Purchase Intention toward Consumer-to-Consumer e-Commerce. Intangible Capital, 13 (5), 946-966.
•Danzi, P., Kalor, A.E., Stefanovic, C. & Popovsky, P. (2017). Analysis of the Communication Traffic for Blockchain Syncrhonization of IoT Devices. Department of Electronic Systems, Aalborg University, Denmark.
•Davis, F (1986). A Technology Acceptance Model for Empirical Testing New End-User Information Systems: Theory and Results. PhD Thesis, Massachusetts Institute of Technology, Cambridge, MA.
•Devental, S. (viewed January 19, 2018). Bitcoin Total Value to Hit $1.2. in ’18: Fundstrat. Retrieved from https://www.investopedia.com/news/bitcoin-25k-and-3-other-crypto-winners-2018/
•Eyal, I. & Sirer, E.G. (2013) Majority is Not Enough: Bitcoin Mining is Vulnerable. 18th International Conference of Financial Cryptography and Data Security. Christ Church, Barbados, March 3-7, 2014. 436-454.
•Folkinshteyn, D. & Lennon, M. (2016). Braving Bitcoin: A Technology Acceptance Model (TAM) Analysis. Journal of Information Technology Case and Application Research, 18 (4), 220-249. http://dx.doi.org/10.1080/15228053.2016.1275242
•Gao, L. & Bai, X. (2014). A Unified Perspective of the Factors Influencing Consumer Acceptance of Internet of Things Technology. Asia Pacific Journal of Marketing and Logistics. 26 (2), 211-231. http://dx.doi.org/10.1108/APJML-06-2013-0061
•Gefen, D. and Straub, Detmar W. (1997). Gender Differences in the Perception and Use of E-mail: An Extension to the Technology Acceptance Model. MIS Quarterly. 21(4) (Dec 1997), 389-400.
•Giaglis, G.M. & Kypriotaki, K. (2014). Towards an Agenda for Information Systems Research on Digital Currencies and Bitcoin. Business Information Systems Workshops. BIS 2014. 183, 3-13.
•Hongyao, N. (2013). Online Purchase Intention in B2C e-Commerce: An Empirical Study. Wuhan International Conference on e-Business. Wuhan: WHICEB 2013 Proceedings.
•Johansen, S. (2017). A Comprehensive Literature Review on the Blockchain Technology as a Technological Enabler for Innovation. Mannheim, University of Manheim (Working paper).
•Kim, D.J., Ferrin, D.L., & Rao, H.R. (2008). A Trust-Based Consumer Decision-Making Model in Electronic Commerce: The Role of Trust, Perceived Risk, and their Antecedents. Decision Support System, 44 (2), 544-564. https://doi.org/10.1016/j.dss.2007.07.001
•Koufaris, M. (2002). Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research; Linthicum. 13(2) (Jun 2002), 205-223.
•Lai, P.C. (2017). The Literature Review of the Technology Adoption Models and Theory for the Novelty Technology. JISTEM – Journal of Information Systems and Technology Management. 14 (1), 21-38.
•Legris, P., Ingham, J. & Collerette, P. (2003). Why do People use Information Technology? A Critical Review of the Technology Acceptance Model. Information & Management, 40 (2003), 191-204.
•Lemieux, V. (20017). Blockchain and Distributed Ledgers as Trusted Record-keeping Systems: An Archival Theoretic Evaluation. Future Technologies Conference (FTC) 2017.
•Mackinnon, S. (2015). Mediation in Health Research: A Statistic Workshop using SPSS. Crossroads Interdisciplinary Health Conference, 2015. Retrieved from https://www.slideshare.net/smackinnon/introduction-to-mediation (June 18, 2015).
•Martucci, B. (n.d). What is Bitcoin – History, How it Works, Pros & Cons. Retrieved from https://www.moneycrashers.com/bitcoin-history-how-it-works-pros-cons/
•Mayer, R.C., Davis, J.H., & Shoorman, F.D. (1995). An Integrative Model of Organizational Trust. The Academy of Management Review, 26 (3), 709-734.
•Miers, I., Garman, C., Green, M. & Rubin, A.D. (2013) Zerocoin: Anonymous Distributed E-Cash from Bitcoin. 2013 IEEE Symposium of Security and Privacy. San Francisco, CA, USA, May 23-24, 2013. 382-396. DOI 10.1109/SP.2013.34
•Mulqueen, T (viewed February 23, 2018). ‘Now Accepting Bitcoin’: A Retailer’s Guide to Digital Currencies. Retrieved from https://www.forbes.com/sites/tinamulqueen/2018/02/23/now-accepting-bitcoin-a-retailers-guide-to-digital-currencies/#1811064d1ed4
•Nach, H. and Ghilal, R. (2017). Blockchain and Smart Contracts in the Logistic and Transportation Industry: The Demurrage and Maritime Trade Use Case. The First Annual Toronto FinTech Conference. Toronto, Canada. Oct. 20-21, 2017.
•Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Retrieved from https://bitcoin.org/bitcoin.pdf
•Park, S.Y. (2009). An Analysis of the Technology Acceptance Model In Understanding University Students’ Behavioral Intention to Use e-Learning. Educational Technology & Society, 12 (3), 150-162.
•Preacher, K.J., & Hayes, A.F. (2004). SPSS and SAS Procedures for Estimating Indirect Effects in Simple Mediation Models. Behavior Research Methods, Instruments and Computers, 36, 717-731.
•Rahim, A., Safin, S.Z., Kheng, L.K., Abas, N., & Ali, S.M. (2016). Factors Influencing Purchase Intention of Smartphone among University Students. Procedia Economics and Finance, 37 (20016) 245-253. doi:10.1016/S2212-5671(16)30121-6
•Ron, D & Shamir, A. (2012) Quantitative Analysis of the Full Bitcoin Transaction Graph. 17th International Conference of Financial Cryptography and Data Security. Okinawa, Japan, April 1-5, 2013. 6-24.
•Serapiglia, A., Serapiglia, C. & McIntyre, J. (2015). Cryptocurrencies: Core Information Technology and Information System Fundamental Enabling Currency Without Borders. Information Systems Education Journal (ISEDJ), 13 (3), 43-52.
•Szajna, B. (1996). Empirical Evaluation of the Revised Technology Acceptance Model. Management Science, 42, 85-92.  http://dx.doi.org/10.1287/mnsc.42.1.85
•Van Der Heijden, H. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28 (4), 695-704.
•Vekantesh, V. & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39 (2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
•Venkatesh, V., & Davis, F. (1996). A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences, 27 (3), 451-481.
•Wang, Y. (2018). Online Purchase Intention Based on TAM and IAM: A Literature Review. International Journal of e-Education, e-Business, e-Management and e-Learning, 2 (2), 66-73. doi: 10.17706/ijeeee.2018.8.2.66-73.
•Wei, J. (viewed December 26, 2015). Robert Arnott – What is Comfortable is Rarely Profitable. Retrieved from https://due.com/blog/robert-arnott-what-is-comfortable-is-rarely-profitable/
•Wu, H. (2017) A Distributed Ledger for Supply Chain Physical Distribution Visibility. Multidisciplinary Digital Publishing Institute, 8(137), 1-18.
•Wu, J.H. & Wang, S.C. (2005). What Drives Mobile Commerce? An Empirical Evaluation of the Revised Technology Acceptance Model. Information & Management, 42(2005), 719-729.
•Younus, S., Rasheed, F., & Zia, A. (2015). Identifying the Factors Affecting Customer Purchase Intention. Global Journal of Management and Business Research: (A) Administration and Management, 15 (2) Version I, 9-14.
•Zikmund, W.G. (2003). Business Research Methods. Mason, OH: Thomson / South-Western.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top