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研究生: 董蕊綺
Tung, Jui-Chi
論文名稱: 影響借款人使用P2P 網路借貸之因素分析
Derivations of Influencing Factors on the Borrowing Intention of Online Peer-to-Peer Lending
指導教授: 黃啟祐
Huang, Chi-Yo
學位類別: 碩士
Master
系所名稱: 工業教育學系
Department of Industrial Education
論文出版年: 2017
畢業學年度: 105
語文別: 英文
論文頁數: 138
中文關鍵詞: P2P網路借貸感知風險感知利益決策實驗室分析決策實驗室網路流程法結構方程模型
英文關鍵詞: P2P, Perceived Risk, Perceived Benefit, DEMATEL, DEMATEL-DNP, PLS-SEM
DOI URL: https://doi.org/10.6345/NTNU202202576
論文種類: 學術論文
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  • 所謂的P2P是個人對個人的網絡借貸,其類似於傳統的消費貸款融資模式。借貸平台透過互聯網提供媒合借款人與貸款人,完成借貸需求。像這樣的創新貸款模式非常受借款人歡迎。在大多數情況下,借款人可以得到低貸款利率、使用簡易申請流程及快速得知貸款結果。鑑於P2P網貸市場的蓬勃發展,了解P2P網貸平台中借款人的初始借款意圖亟為重要,唯相關研究甚少。過去,雖然有少數學者研究影響P2P貸款人投資意圖的因素,但少有研究從借款人的角度,探討影響網路借貸意願的因素。為了要探討影響網路借款意願的各種因素,本研究擬整合感知風險、感知利益、科技接受模型(TAM)以及計劃行為理論(TPB),提出一個整合理論架構推導影響使用P2P網貸的借款意圖的因素。本研究將導入修正式德菲法(Modified Delphi) 、決策實驗室分析(Decision Making Trial and Evaluation Laboratory, DEMATEL)、決策實驗室網路流程法(DEMATEL-based Network Process, DNP)及以偏最小平方結構方程模型(Partial Least Squares Structural Equation Modeling, PLS-SEM)檢定前述DEMATEL推導之影響關係之假設顯著。本實證研究的結果,可作為未來發展與改善P2P網貸服務交易機制、訂定服務、擬定行銷策略之用。

    This so-called peer-to-peer (P2P) is for Peer-To-Peer online lending is P2P, which similar to the traditional consumer loan financing model. Many online platforms offer to match borrowers with investors via the internet directly. Suchlike the innovative lending model is a very popular way with borrowers. For the most part, the borrowers' could get low loan rates, used easy application process, and lending result quickly. Online P2P lending is a booming market, and there is an urgent need to understand the borrower’s intention in using online P2P lending platform. This research aims to derive the keys of borrowers’ intention. There are several researches to explain the P2P lender’s intention of investment, but from the borrowers’ point of view is worth to discuss and lack of academic literature. In order to understand borrowers’ intention factors of using online peer-to-peer lending, this study established a model to integrate the Perceived Risk, Perceived Benefit, Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM) to derive the influence factors for Online P2P lending. In this study, the modified Delphi method, the Decision Making Trial and Evaluation Laboratory (DEMATEL), the decision-making laboratory network flow method (DEMATEL-based Network Process, DNP) will be introduced to summarize experts’ opinions. And used PLS-SEM to examine the hypothesis of this study. The analytic framework and results can served to development and improvement of P2P lending service mechanism and marketing strategy.

    Table of Contents 摘要 i Abstract ii Table of Contents iii List of Table v List of Figure vi Chapter 1 Introduction 1 1.1 Research Background 1 1.2 Research Motivation 3 1.3 Research Purpose 5 1.4 Research Methods and Framework 6 1.5 Research Limitations 7 1.6 Research Process Thesis Structure 8 Chapter 2 Literature Review 11 2.1 Overview of Online P2P Lending background 11 2.1 Theory of Planned Behavior (TPB) 14 2.2 Technology Acceptance Model Theory (TAM) 16 2.3 Perceived Risk 18 2.4 Perceived Benefit Theory 20 Chapter 3 Research Method 23 3.1 Modified Delphi Method 24 3.2 Decision Making Trial and Evaluation Laboratory (DEMATEL) 27 3.3 DEMATEL based Network Process (DNP) 31 3.4 Partial Least Squares -Structural Equation Model (PLS-SEM) 35 Chapter 4 Empirical Study 41 4.1 Criteria Definition by Modified Delphi Method 42 4.2 Decision Problems Structuring by DEMATEL 48 4.3 Decision Problems Structuring by DNP 59 4.4 Questionnaire Response by PLS-SEM (Mass User) 61 Chapter 5 Discussion 71 5.1 DEMATEL Results Based On the Experts’ Opinions 73 5.2 DNP Result Based On the Experts’ Opinions 76 5.3 PLS-SEM Results Based On Mass User Opinions 77 5.4 Comparisons between DNP and PLS Results 80 5.5 Managerial implications 81 Chapter 6 Conclusions 83 References 87 List of Table Table 3-1 The Process of Delphi Method 25 Table 4-1 Experts’ Background 42 Table 4-2 The description of Dimension and Criteria 43 Table 4-3 The description of Criteria 44 Table 4-4 Questionnaire Collected of Experts’ Opinions 46 Table 4-5 Questionnaire Collected of Experts’ Opinions 47 Table 4-6 and vs. each dimension of influence to adopt the P2P Lending service. 51 Table 4-7 and vs. each criteria of influence to adopt the P2P Lending service. 55 Table 4-8 The weights versus each dimension of influence borrower to adopt the P2P service. . 59 Table 4-9 The weights and Rank versus each criteria of influence borrower to adopt the P2P lending service. 60 Table 4-10 Respondents’ basic background information 63 Table 4-11 Model 1: Composite Reliability, AVE, Cronbach’s Alpha, Communality, Redundancy and R2 65 Table 4-12 Model 1: The Path Coefficient and Total Effects 68 Table 4-13 Cronbach's α value metric 68 List of Figure Figure 1-1 Transaction procedure of P2P online lending platform 2 Figure 1-3 Flow chart of research framework 7 Figure 1-3 Research Process Thesis Structure 8 Figure 2-1 Examples of loan listings 12 Figure 2-2 Examples of loan listings 13 Figure 2-3 Theory of Planned Behavior (TPB) 15 Figure 2-4 Technology Acceptance Model Theory (TAM) 17 Figure 3-1 An example of the directed graph 28 Figure 3-2 An Example of the PLS Model 36 Figure 4-1 Causal Relationship structure of Dimensions. 50 Figure 4-3 Model 1: Structural Equation Model 69

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