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博碩士論文 etd-0029120-190021 詳細資訊
Title page for etd-0029120-190021
論文名稱
Title
以計畫行為理論探討應用智能合約的個人借貸行為
Theory of Planned Behavior: How Smart Contract Effect Individual P2P Lending Behavior
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
104
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
2019-07-05
繳交日期
Date of Submission
2020-01-29
關鍵字
Keywords
智能合約、區塊鏈、科技接受模型、計畫行為理論、個人借貸
TAM, blockchain, TPB, smart contract, P2P lending
統計
Statistics
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中文摘要
近年來,個人借貸(Peer-to-peer lending)興起,借貸市場成長率逐年增加,顯示愈來愈多人使用線上平台進行借款,個人借貸為媒合個人借款、投資之需求,讓具有資金的投資人可透過線上個人借貸平台,借款給在線上個人借貸平台募集所需資金的借款人,成立借貸契約,並依據契約所訂之期數、利息來還款,然而,線上個人借貸平台仍有安全性、交易效率及倒債風險問題,導致投資人的投資風險增加。
本研究以區塊鏈架構下的智能合約做為個人借貸的交易機制,以計畫行為理論(Ajzen & Madden, 1986)及科技接受模型(Davis, Bagozzi, Warshaw, 1989)作為主要研究架構,藉由行為理論探討人們在進行一般借貸或智能合約管理時,個人受到那些因素影響較深,以感知易用性、感知有用性、態度、意圖探討操作個人借貸的主觀行為,並增加影響投資行為的構面:信任、感知風險及感知利益,了解影響使用者於個人借貸中的投資行為因素,在個人使用智能合約時,對於認知投資風險、掌握交易狀況與信任交易機制之程度。
本研究發現感知易用性、感知有用性對態度具有正面顯著影響,而態度會對意圖產生正面顯著影響,代表使用智能合約輔助個人借貸中,平台容易操作、有效達到借貸目的,是影響使用者是否接受並持續使用的關鍵。
Abstract
In recent years, Peer-to-peer lending (P2P lending) has risen, and the growth rate of the loan market has increased year by year. P2P lending is the matching of personal borrowing and investment needs through online platforms, and repayment is based on the number of periods and interest stipulated in the contract. However, P2P lending still has problems with security, transaction efficiency, and the risk of debt overruns, leading to increased investment risks.
This research uses smart contracts under the blockchain architecture as a transaction mechanism for P2P lending, and uses planned behavior theory (Ajzen & Madden, 1986) and technology acceptance models (Davis, Bagozzi, Warshaw, 1989) to explore behavior. Through perceiving ease of use, perceiving usefulness, attitude, and intention to explore the operation behavior of P2P lending, and increase the constructs that influence investment behavior: trust, perceived risk, and perceived benefits, and explore the investment factors that affect P2P lending.
This study found that perceived ease of use and perceived usefulness have a positive and significant impact on attitudes, and attitudes also affect intention. The difficulty of the operation process and whether it can achieve the purpose of lending are the main factors affecting the use of smart contracts to assist P2P lending.
目次 Table of Contents
論文審定書………………………………………………………………………i
論文公開授權書………………………………………………………………ii
中文摘要…………………………………………………………………………iii
Abstract …………………………………………………………………………iv
Chapter 1. Introduction …………………………………………1
1.1. Background …………………………………………………………1
1.2. Motivation ……………………………………………………………4
1.3. Purpose …………………………………………………………………6
Chapter 2. Theoretical background………………………8
2.1 Smart contract………………………………………………………9
2.2 Peer-to-peer lending……………………………………………13
2.3 The theory of planned behavior…………………………16
2.4 Technology acceptance model…………………………19
Chapter 3. Research architecture and method 20
3.1 Research model……………………………………………………21
3.2 Construct explanation …………………………………………24
3.3 Hypothesis………………………………………………………………29
3.4 Research design……………………………………………………34
Chapter 4. Research analysis and discussion……47
4.1. Analysis of background information…………………48
4.2. Research Variable analysis…………………………………55
4.3. Research model analysis……………………………………57
4.4. Model validation and discussion…………………………63
Chapter 5. Result………………………………………………………70
5.1. Conclusion………………………………………………………………70
5.2. Theoretical and practical implications………………74
5.3. Limitation………………………………………………………………77
5.4. Future research………………………………………………………78
References………………………………………………………………………80
Appendix…………………………………………………………………………86
參考文獻 References
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179–211.
Ajzen, I., & Madden, T. (1986). Prediction of goal directed behaviour: Attitudes, intentions and perceived behavioural control. Journal of experimental social psychology, 22(5), 453–474.
Arts, J. W., Frambach, R. T., & Bijmolt, T. H. (2011). Generalizations on consumer innovation adoption: A meta-analysis on drivers of intention and behavior. International Journal of Research in Marketing, 28(2), 134–144.
Berger, S. C., & Gleisner, F. (2009). Emergence of Financial Intermediaries in Electronic Markets: The Case of Online P2P Lending. Business Research, 2(1), 39–65.
Caimei Lu, Lu Zhang, (2018). Research on Risk Factors Identification of P2P Lending Platforms. American Journal of Industrial and Business Management, 2018, 8, 1344–1357
Christopher D. Clack, Vikram A. Bakshi, Lee Braine, (2016). Smart Contract Templates: foundations, design landscape and research directions. Retrieved from https://arxiv.org/abs/1608.00771
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319–340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982–1003.
DeVellis, R. F. (1991). Scale Development: Theory and Applications (Applied Social Research Methods Series, Vol. 26), Newbury Park, CA: Sage Publications.
Emekter, R., Tu, Y., Jirasakuldech, B., & Lu, M. (2015). Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending. Applied Economics, 47(1), 54–70.
Fornell, C., & Larcker, D.F, (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18, 39–50.
Fred. D. Davis, Richard. P. Bagozzi, Paul. R. Warshaw, (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003.
Gefen, Karahanna, & Straub. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51–90.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2 ed.). Thousand Oaks, CA: Sage Publications.
Hartwick, J., & Barki, H. (1994). Explaining the Role of User Participation in Information System Use. Management Science, 40(4), 440–465.
Holmstrom, B. (1985). The provision of services in a market economy. Managing the service economy: Prospects and problems, 7, 183–213.
Hsu, M.-H., Yen, C.-H., Chiu, C.-M., & Chang, C.-M. (2006). A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior. International Journal of Human-Computer Studies, 64(9), 889–904.
Idelberger, F., Governatori, G., Riveret, R., & Sartor, G. (2016). Evaluation of Logic-Based Smart Contracts for Blockchain Systems. Lecture Notes in Computer Science, 167–183.
Ifinedo, P. (2012). Understanding information systems security policy compliance: An integration of the theory of planned behavior and the protection motivation theory. Computers & Security, 31(1), 83–95.
Ing-Long Wu, Jian-Liang Chen, (2005). An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. International Journal of Human-Computer Studies, 62(6), 784–808
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, 23(2), 183–213.
Lacity Mary (2018). Addressing Key Challenges to Making Enterprise Blockchain Applications a Reality. MIS Quarterly Executive, (3), 201–222.
Lee, E., & Lee, B. (2012). Herding behavior in online P2P lending: An empirical investigation. Electronic Commerce Research and Applications, 11(5), 495–503.
Lee, M.-C. (2009). Predicting and explaining the adoption of online trading: An empirical study in Taiwan. Decision Support Systems, 47(2), 133–142.
Macrinici, D., Cartofeanu, C., & Gao, S. (2018). Smart contract applications within Blockchain Technology: A Systematic Mapping Study. Telematics and Informatics, 35(8), 2337–2354.
Michael Bosnjak, Dirk Obermeier, Tracy L. Tuten, (2006). Predicting and explaining the propensity to bid in online auctions: a comparison of two action-theoretical models. Journal of Consumer Behaviour, 5(2), 102–116.
Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Retrieved from https://bitcoin.org/bitcoin.pdf
O'hara, K. (2017). Smart contracts-dumb idea. IEEE Internet Computing, 21(2), 97-101.
Pavlou, P. A., and Gefen, D. 2004. Building Effective Online Marketplaces with Institution-Based Trust. Information Systems Research, 15(1), 37–59.
Szabo, N. (2018). Smart contracts: building blocks for digital markets. Retrieved from http://www.fon.hum.uva.nl/rob/Courses/InformationInSpeech/CDROM/Literature/LOTwinterschool2006/szabo.best.vwh.net/smart_contracts_2.html
T.C. Edwin Cheng, David Y.C. Lam, Andy C.L. Yeung, (2016). Adoption of internet banking: An empirical study in Hong Kong. Decision Support Systems, 42(3), 1558–1572.
Taylor, S., & Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research, 6(2), 144–176.
Valente, T. W., & Rogers, E. M. (1995). The origins and development of the diffusion of innovations paradigm as an example of scientific growth. Science communication, 16(3), 242–273.
Venkatesh, V., 2000. Determinants of perceived of ease of use: integrating control, intrinsic motivation, and emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342–365.
Viswanath Venkatesh, Fred D. Davis, (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204.
Vitalik Buterin, (2014), A next-generation smart contract and decentralized application platform. Retrieved from http://blockchainlab.com/pdf/Ethereum_white_paper-a_next_generation_smart_contract_and_decentralized_application_platform-vitalik-buterin.pdf
W.D. Salisbury, R.A. Pearson, A.W. Pearson, D.W. Miller, (2001). Perceived security and world wide web purchase intention. Industrial Management and Data Systems 101(4), 165–176.
Wanga, Y.-S., Wub, S.-C., Linc, H.-H., Wangd, Y.-M., & Hee, T.-R. (2012). Determinants of user adoption of web ATM: an integrated model of TCT and IDT. The Service Industries Journal, 32(9), 1505–1525.
Yang, M., Li, H., Shao, Z., & Shang, W. (2017). Influencing Lenders’ Repeat Investment Intention in P2P Lending Platforms in China through Signaling. Pacific Asia Conference on Information Systems 2017 Proceedings, 72.
Yuejin Zhang, Hengyue Jia, Yunfei Diao, Mo Hai, Haifeng Li (2016). Research on Credit Scoring by Fusing Social Media Information in Online Peer-to-Peer Lending. Procedia Computer Science, 91, 168–174.
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