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系統識別號 U0002-1207202021401200
DOI 10.6846/TKU.2020.00307
論文名稱(中文) 網路口碑作為知覺風險與網路購買意願的中介─以網路涉入程度作為調節中介效果
論文名稱(英文) Electronic word-of-mouth as a Mediating Effect of Perceived Risk and Online Purchase Intention: The Moderated Mediating Effect of Online Involvement
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 管理科學學系企業經營碩士在職專班
系所名稱(英文) Executive Master's Program of Business Administration (EMBA) in Management Sciences
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 108
學期 2
出版年 109
研究生(中文) 黃安璞
研究生(英文) An-Pu Huang
學號 707620125
學位類別 碩士
語言別 繁體中文
第二語言別
口試日期 2020-06-27
論文頁數 58頁
口試委員 指導教授 - 廖述賢
委員 - 王維康
委員 - 吳家齊
關鍵字(中) 知覺風險
網路口碑
網路購買意願
網路涉入程度
調節中介模型
關鍵字(英) Perceived risk
Electronic word-of-mouth
Online purchase intention
Online involvement
Moderated mediation model
第三語言關鍵字
學科別分類
中文摘要
現今網路快速崛起,透過網路處理的事情越來越多,購物就是其中一項很重要的事,與各種網路服務應用相比,網路購物是一種更靈活的經濟應用,儘管網路購物使用率不低,但在零售業中的總體中,網路購物率仍有相當大的增長空間。此研究針對網路購物使用者做了一些面向的深入研究,希望能對網路購物市場的發展提供一些貢獻。本研究向全台灣所有的網路購物使用者發送問卷,使用任意抽樣方式取得本研究所需之資料。將所得到的608份有效問卷,使用結構化方程式模型,將網路口碑、知覺風險、網路購買意願及網路涉入程度進行理論模型驗證。結果發現:(1) 知覺風險對網路口碑有正向影響關係;(2) 網路口碑對網路購買意願有正向影響關係;(3) 網路口碑對知覺風險與網路購買意願有中介效果;(4) 網路涉入程度對於網路口碑有調節中介作用。最後就著本研究之研究發現與管理意涵,延伸探討並提出建議,以供學術界與企業界參考之用。
英文摘要
Internet technology has been growing very rapidly recently. More and more things are handled through the Internet and shopping is one of the most important things. Compared with various online service applications, online shopping is a more flexible economic application. Although the usage rate of online shopping is not low in the overall retail industry, there is still considerable room for growth in the online shopping. This study has done some in-depth research for online shopping users and maybe can provide some contribution to the development of online shopping market. This study sends a questionnaire to all online shopping users in Taiwan and uses convenience sampling method to obtain the information needed for this study. The theoretical model of electronic word-of-mouth, perceived risk, online purchase intention and online involvement with 608 valid questionnaires has been verified by structural equation model (SEM). The indirect effect of perceived risk on online purchase intention through Electronic word-of-mouth is stronger at low degrees of online involvement than at high degrees of online involvement. Finally, the research findings and management implications of this study are used to discuss and make suggestions, which can be used as a reference for academia and business.
第三語言摘要
論文目次
中文摘要 I
Abstract II
目錄 III
表目錄 V
圖目錄 VI
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 4
1.3 研究流程 4
第二章 文獻探討 6
2.1知覺風險 6
2.2網路口碑 7
2.3網路購買意願 8
2.4網路涉入程度 9
2.5研究假設 10
2.5.1知覺風險與網路購買意願之間的關係 10
2.5.2知覺風險與網路口碑之間的關係 11
2.5.3網路口碑與網路購買意願之間的關係 11
2.5.4網路口碑對知覺風險及網路購買意願之間的中介效果 12
2.5.5網路涉入程度對於中介變項網路口碑的調節效果 13
第三章 研究方法 15
3.1 研究架構 15
3.2 研究變項操作性定義與測量工具 16
3.2.1 知覺風險 16
3.2.2 網路口碑 16
3.2.3 網路購買意願 17
3.2.4 網路涉入程度 18
3.3 研究對象與抽樣方式 19
3.4 問卷設計與前測問卷的信度分析 19
3.5 資料分析方法 20
第四章 資料分析與結果 24
4.1 敘述性統計分析 24
4.2 估計方法之選擇 29
4.3 測量模型分析 30
4.3.1 驗證性因素分析 30
4.3.2 信度分析 31
4.3.3 效度分析 33
4.4 相關分析 34
4.5 理論模型 37
4.5.1 理論模型分析 37
4.5.2 假設驗證 38
4.5.3 中介效果檢定 39
4.5.4 調節中介-網路涉入程度對於網路口碑的作用 39
第五章 結論與建議 42
5.1 研究結果 42
5.2 管理意涵及貢獻 43
5.3 研究限制 46
參考文獻 48
中文文獻 48
英文文獻 50
網路資料 56
附錄 57
問卷 57

表目錄
表3- 1前測問卷之信度分析表 20
表4- 1問卷回收統計表 25
表4- 2人口變項資料彙整表 27
表4- 3研究變項之平均數、標準差、偏態與峰度 30
表4- 4測量模型驗證性因素分析結果 31
表4- 5正式問卷因素信度分析結果表 32
表4- 6因素收斂效度分析結果表 33
表4- 7因素區別效度 34
表4- 8構面相關矩陣 35
表4- 9各變項路徑彙總表 38
表4- 10中介變項路徑表 39
表4- 11網路口碑的調節變項高低區分 41
表4- 12網路涉入程度在知覺風險與網路口碑間的中介效果調節檢定 41
表5- 1理論模型研究假設與驗證結果彙整表 43

圖目錄
圖1- 1研究流程圖 5
圖3- 1研究架構圖 15
圖4- 1研究路徑圖 37
圖4- 2網路涉入程度對於網路口碑的調節中介架構圖 40
參考文獻
中文文獻
丁國章、曾相榮與潘昭儀 (2010) 。網路購物行為之消費者知覺風險研究。行銷評論,第 7 卷,第 3 期,頁381-412 。
池文海、唐資文與林怡安 (2010) 。消費者購買涉入、品牌權益、知覺風險與顧客忠誠度之關係。中華管理評論國際學報,第 13 卷,第 2 期,頁 1-22。
李宛穎 (1999) 。線上銷售考量因素之研究。中山大學企業管理研究所碩士論文。
官振華 (1996) 。WWW使用者運用電子購物意願之研究-以人格特質、購買涉入與網路使用行為探討。國立中央大學資訊管理研究所碩士論文。
徐瑾慧 (2011) 。國小學童網路購物行政院及其相關因素之研究。國立屏東教育大學社會發展學系社會科教學碩士班碩士論文。
張秀枝 (2018) 。網路購物時網路口碑、涉入程度、知覺風險與 購買意願關係之研究。南華大學企業管理學系管理科學碩士班碩士論文。
許士軍 (1987) 。管理學。台北:東華書局。
黃懿慧 (1994) 。科技風險的認知與溝通問題。民意研究季刊,第  188期,頁95-129。
詹佩勳 (2011) 。職棒觀眾之中程度對贊助企業商譽、品牌態度及購買意願之關聯。實踐大學企業管理學系碩士班碩士論文。
薛瓊娟與李城忠 (2008) 。運動選手之代言人可信度對品牌形象與購買意願影響之研究-以王建民為例。運動事業管理學術研討會論文集,7,148-161 頁。

英文文獻
Abubakar, A. M., Ilkan, M., and Sahin, P. (2016). eWOM, eReferral and gender in the virtual community. Marketing Intelligence and Planning, 34(5), 692-710
Apsler, R., and Sears, D. O. (1968). Warning, personal involvement, and attitude change. Journal of Personality and Social Psychology, 9(2), 162-166.
Anderson, J. C., and Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.
Arndt, J. (1967). Role of Product-Related Conversations in the Diffusion of a New Product. Journal of Marketing Research, 4(3), 291-295.
Baird, I. S., and Howard, T. (1985). Toward A Contingency Model of Strategic Risk Taking. The Academy of Management Review, 10(2), 230-243.
Barki, H., and Hartwick, J. (1989). Rethinking the concept of user involvement. MIS Quarterly, 13(1), 53-64.
Baron, R. M., and Kenny, D. A. (1986). The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
Bauer, R. A. (1960). Consumer Behavior as Risk Taking, in R. S. Hancock (Ed.), Dynamic marketing for a changing world. Chicago: American Marketing Association, 389-398.
Buttle, F. A. (1998). Word of Mouth: Understanding and Managing Referral Marketing. Journal of Strategic Marketing, 6(3), 241- 254.
Celsi, R. L., and Olson, J. C. (1988). The Role of Involvement in Attention and Comprehension Processes. Journal of Consumer Research, 15(2), 210-224.
Chang, K. C., Hsu, Y. T., Hsu, C. L., and Sung, Y. K. (2019). Effect of tangibilization  cues on consumer purchase intention in the social media context: Regulatory focus  perspective and the moderating role of perceived trust. Telematics and Informatics, 44(3), Article 101265.
Chiu, W., Kim, T., and Won, D. (2018). Predicting consumers’ intention to purchase sporting goods online: An application of the model of goal-directed behavior. Asia Pacific Journal of Marketing and Logistics, 30(2), 333-351.
Chu, S. C., and Chen, H. T. (2019). Impact of consumers’ corporate social responsibility‐related activities in social media on brand attitude, electronic word‐of‐mouth intention, and purchase intention: A study of Chinese consumer behavior. Journal of Consumer Behaviour, 18, 453-462.
Cox, D. F. (1967). Risk Handling in Consumer Behavior – an Intensive Study of  Two Cases, in Donald F. Cox (Ed.), Risk Taking and Information Handling in Consumer Behavior. Boston: Harvard University Press, 34-81.
Crawford, S., Hokke, S., Nicholson, J., Zion, L., Lucke, J., Keyzer, P., and Hackworth, N. (2019). It’s not black and white: Public health researchers’ and ethics committees’ perceptions of engaging research participants online. Internet Research, 29(1), 123-143.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psyphometrika, 16, 297-334
Dodds, W. B., Monroe, K. B., and Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of marketing research, 23(3), 307-319.
Dong, X., Chang, Y., Liang, S., and Fan, X. (2018). How online media synergy influences consumers’ purchase intention: A perspective from broadcast and  interactive media. Internet Research, 28(4), 946-964.
Dowling, G. R., and Staelin, R. (1994). A Model of Perceived Risk and Intended Risk-Handling Activity. Journal of Consumer Research, 12(2), 119-134.
Dowling, G. R. (1986). Perceived Risk: The Concept and its Measurement. Psychology and Marketing, 3(3), 193-210.
Edwards, J. R., and Lambert, L. S. (2007). Methods for Integrating Moderation and Mediation: A General Analytical Framework Using Moderated Path Analysis. Psychological Methods, 12(1), 1-22.
Fishbein, M., and Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Boston: Addison-Wesley.
Fornell, C. R. and Larcker, F. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39-51.
Forsythe, S., Liu, C., Shannonn, D. M., and Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of Interactive Marketing, 20(2), 55-75.
Fu, S., Yan, Q., and Feng, G. (2019). Who will attract you? Similarity effect among users on online purchase intention of movie tickets in the social shopping context. International Journal of Information Management, 40(1), 88-102.
Hanson, W. A. (2000). Principles of Internet Marketing. Ohio: South-Western College Publishing.
Hayes, A. F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-based Approach. New York: Guilford Press.
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., and Gremler, D. D. (2004). Electronic Word-of-Mouth Via Consumer-Opinion Platforms: What Motivates Consumers to Articulate Themselves on the Internet?. Journal of Interactive Marketing, 18(1/winter), 38-52.
Herr, P. M., Kardes, F. R., and Kim, J. (1991). Effect of Word-of-Mouth and Product-Attribute Information on Persuasion: an Accessibility-Diagnostic Perspective. Journal of Consumer Research, 17, 454-462.
Hsu, S. H., and Luan, P. M. (2017). The Perception Risk of Online Shopping Impacted on the Consumer’s Attitude and Purchase Intention in Hanoi, Vietnam. Journal of Business and Economic Policy, 4 (4), 19-29.
Ilyuk, V. (2018). Like throwing a piece of me away: How online and in-store grocery purchase channels affect consumers’ food waste. Journal of Retailing and Consumer Services, 41(3), 20-30.
James, L. R., and Brett, J. M. (1984). Mediators, moderators, and tests for mediation. Journal of Applied Psychology, 69(2), 307-321.
Kline, R. B. (1998). Principles and practice of structural equation modeling. New York: Guilford Press.
Kotler P., and Keller K. L. (2006). Marketing Management, 12e, Pearson International Edition, Upper Saddle River. New Jersey: Prentice-Hall.
Krugman, H. E. (1967) The measurement of advertising involvement. Public Opinion Quarterly, 30(Winter), 583-596.
Mohseni, S., Jayashree, S., Rezaei, S., Kasim, A., and Okumus, F. (2018). Attracting tourists to travel companies’ websites: the structural relationship between website brand, personal value, shopping experience, perceived risk and purchase intention. Current Issues in Tourism, 21(6), 616-645.
Ozcelik, A. B., and Varnali, K. (2019). Effectiveness of online behavioral targeting: A psychological perspective. Electronic Commerce Research and Applications, 33(1), Article 100819.
Peng, L., Zhang, W., Wang, X., and Liang, S. (2019). Moderating effects of time pressure on the relationship between perceived value and purchase intention in social E-commerce sales promotion: Considering the impact of product involvement. Information and Management, 56, 317-328.
Rothschild, M. L. (1984). Perspectives on involvement: Current problems and future direction. Advances in Consumer Research, 11(1), 216-217.
San-Martín, S., Jiménez, N., and Liébana-Cabanillas, F. (2020). Tourism value vs barriers to booking trips online. Journal of Retailing and Consumer Services, 53, Article 101957.
Schlosser, A. E. (2003). Experiencing Products in the Virtual World: The Role of Goal and Imagery in Influencing Attitudes Versus Purchase Intentions. Journal of Consumer Research, 30(2/Sep), 184-198.
Schiffman, L. G. and Kanuk, L. L. (2004). Consumer Behavior, 8th .Upper Saddle River, New Jersey: Prentice-Hall.
Sherif, C. W., Sherif, M., and Nebergall, R. E. (1965). Attitude and attitude change: The social judgment involvement approach. New Haven, Conn: Yale University Press.
Sherif, M., and Cantril, H. (1947). The psychology of ego‐involvements. New York: Wiley. 
Sun, J. (2014). How risky are services? An empirical investigation on the antecedents and consequences of perceived risk for hotel service. International Journal of Hospitality Management, 37, 171-179.
Sweeney, J. C., Geoffrey, N. S., and Lester, W. J. (1999). The Role of Perceived Risk 41 in the Quality-Value Relationship: A Study in a Retail Environment. Journal of Retailing, 75(1), 77-105.
Taylor, J. W. (1974). The Role of risk in consumer behavior. Journal of Marketing, 38(2), 54-60.
Ventre, I., and Kolbe, D. (2020). The Impact of Perceived Usefulness of Online Reviews, Trust and Perceived Risk on Online Purchase Intention in Emerging Markets: A Mexican Perspective. Journal of International Consumer Marketing.
Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52, 2-22.
Zhang, T., Wang, W., Cao, L., and Wang, Y. (2019). The role of virtual try-on technology in online purchase decision from consumers’ aspect. Internet Research, 29, 529-551.
Zhao, X., Deng, S. and Zhou, Y. (2017). The impact of reference effects on online purchase intention of agricultural products: The moderating role of consumers’ food safety consciousness. Internet Research, 27(2), 233-255.
Zimbardo, P. G. (1960). Involvement and communication discrepancy determinants of opinion conformity. Journal of Abnormal and Social Psychology, 60(1), 86-94.

網路資料
Taiwan Market Intelligence and Consulting Institute (Taiwan MIC) (2019). 2018 Taiwan Electronic Commerce Market Survey。2020年2月16日,取自: https://mic.iii.org.tw/Industryobservation_MIC01views.aspx (accessed 20 Dec, 48 2019)
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