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研究生:林柏翰
研究生(外文):Lin, Bo-Han
論文名稱:藉由虛擬實境探討線上線下虛實整合對消費者購買意願之研究-以服飾品為例
論文名稱(外文):Through the Experience of Virtual Reality Exploring the Influence of O2O Channel Integration on Consumer's Purchasing Intention-The Case of Apparel
指導教授:陳光華陳光華引用關係
指導教授(外文):Chen, Gu-Hua
口試委員:陳美芳曾芳代
口試委員(外文):Chen, Mei-FangZeng, Fang-Dai
口試日期:2017-12-18
學位類別:碩士
校院名稱:國立交通大學
系所名稱:經營管理研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:中文
論文頁數:74
中文關鍵詞:虛實整合虛擬實境科技接受模型結構方程模型
外文關鍵詞:virtual realityonline to offline(O2O) channel integrationTAM modelstructural equation modeling (SEM)
相關次數:
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  • 下載下載:25
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線上線下虛實通路整合(Online to Offline)的重要性近年來商業界對其探究越加頻繁,從資策會(MIC) 2016年的報告也知曉消費者每月網購金額占消費總支出的比例是17.8%,可發現消費行為對通路的選擇已產生轉移現象,那麼通路整合後的下一步是什麼?即是客戶使用通路的價值感官都應列入追蹤,讓客戶能體會到業者提供服務一致性的便利價值。虛擬實境VR的應用於2016年討論聲浪開始熱絡, 2017年各大VR製造廠對其自家產品也都大幅降價,如何去整合虛實通路與VR技術來行銷、傳遞產品價值並取得客戶信任,來做出決策與分配資源是值得研究的。

本研究專注虛實通路價值的整合與VR技術應用等特性,參考Sheth(1991)等人的價值構面和Witmer(1998與2005)等人於沉浸傾向與臨場感的量表來設計問卷,並以Davis(1989)所提出的科技接受模型做為研究架構,投入個人差異與通路整合價值特性作為外生變數,並加入虛擬實境的使用特性作為調節變數,最後回收408份有效問卷,會執行因素分析與結構方程模型(SEM)來分析與驗證。

結果顯示,消費者對線上線下O2O虛實通路的使用有價值影響,各構面間,除了消費者對O2O通路的個人創新性無顯著影響外,其他全都是正向的顯著影響。正因為本研究發現虛實整合對於費者的價值感受是相當重要的,即便臺灣的實體服飾廠商交易相當便利,憑藉網路做到線上線下通路的整合,能近一步促進交易動機,最後本研究發現虛擬實境應用導入對O2O虛實通路的使用,是正面的調節影響。
The importance of the O2O(Online to Offline) channel integration is mentioned more frequent in the business in recent years. We can learn from the survey in MIC in 2016 that the percentage of online purchases made by consumers’ total monthly consumption expenditure is 17.8%. It presents the consumption behavior of the channel selection has changed. What’s the next step after the channel integration? It is the value of the customer to the use of the channel should be tracked. Let customers experience the convenience value of the service consistency by provider. The application of virtual reality(VR) begans to heat up in 2016. And the major VR manufacturers also significantly reduced their prices of their own products in 2017. How to integrate O2O channel with VR technology to market, deliver the value of product and win customer trust for the firms to make the decision and allocate the limited resources. It is worthwhile to do research.

This study focuses on the value of O2O channel integration and the application of VR technology. The questionnaires are designed by adopting from Sheth et al.'s value model in 1991 and Witmer et al's Presence Model.Take TAM model as the research framework. Organize the variables with exogenous variables like personal differences as well as value characteristics of the channel integration and with the application of virtual reality as the moderator variable. Finally, a total of 408 valid questionnaires are collected. And then use factor analysis by SPSS and adopt structural equation modeling (SEM) to analyze the data.

The result shows that the value of O2O channel integration has an impact on consumers. Except that the self-innovation doesn’t affect the perceived ease of use significiantly, the other dimensions all significantly affect each other. Because we find that the value of O2O channel integration is very important to consumers. Even if the transaction of apparel store is very convenient in Taiwan, the integration of online and offline channels is also a notable step to promote the motivation of the apparel transaction. At the end, this study shows that there are differences in the application of virtual reality moderators to users’ attitude and behavior intention of the O2O channel integration.
目錄
中文摘要 i
英文摘要(ABSTRACT) ii
致謝 iii
目錄 iv
表目錄 vii
圖目錄 viii

壹、緒論 1
1.1研究背景與動機 1
1.2研究目的 2
1.3研究範圍與對象 2
1.4研究架構 2
1.5研究程序流程圖 3
貳、文獻回顧 4
2.1虛擬實境(VR) 4
2.1.1 虛擬實境的定義與發展 4
2.1.2 虛擬實境的類型與認知 5
2.1.3 虛擬實境的衡量構面 7
2.2 虛擬實境產業現況 8
2.2.1 各國主流虛擬實境市場 8
2.2.2 虛擬實境市場分析 16
2.2.3 虛擬實境之應用 18
2.3 虛實整合 19
2.3.1 線上線下虛實整合的發展 19
2.3.2 實體市場與網路市場 21
2.3.3 衡量虛實整合的構面 24
2.4 科技接受模型 25
2.4.1 理性行為理論(TRA) 25
2.4.2 計畫行為理論(TPB) 26
2.4.3 科技接受模型(TAM)的架構及構面 27
2.5 產品知識 29
2.5.1 服飾商品的認知 29
2.5.2 服飾商品的通路與發展 31
參、研究方法 32
3.1研究架構及研究變數 32
3.1.1 研究架構 32
3.1.2 研究變數 32
3.2研究假說 34
3.3問卷設計 36
3.4 抽樣設計 40
3.4.1 界定母體 40
3.4.2 確定抽樣架構 40
3.4.3 選定抽樣方法 41
3.4.4 確立樣本數大小 41
3.4.5 收集樣本資料 41
3.4.6 評估樣本結果 41
3.5資料處理與分析 41
3.5.1 敘述性統計分析 41
3.5.2 信度與效度分析 41
3.5.3 整體模式結構衡量分析 42
肆、資料分析 43
4.1樣本結構分析 43
4.1.1 性別分佈 43
4.1.2 年齡分佈 43
4.1.3 教育程度 43
4.1.4 職業 44
4.1.5每月可支配所得 44
4.2因素構面分析及信度分析 44
4.2.1線上線下(O2O)通路價值整合特性 44
4.2.2虛擬實境(VR)體驗感 45
4.3效度分析 47
4.3.1建構效度 47
4.3.2.區別效度 49
4.4模型與結構方程分析 49
4.4.1模型配適度分 50
4.4.2路徑分析、中介分析、調節分析與假說驗證 51
伍、結論與建議 59
5.1研究結論 59
5.2研究建議 61
5.3研究限制 62
5.4後續研究方向 63
陸、參考文獻 64
附錄一 本研究調查之問卷 70
6.1中文索引
1.朱笛. (2012). 服飾史探微.中國:南京.中國礦業大學出版社.
2.伍永康、歐陽明. (1998).虛擬實境以及其在娛樂上的應用.光訊, vol.71, pp. 4-6。
3.李佩蓉. (2010). 消費者在虛擬實境中的臨場感體驗與沉浸傾向之研究: 以商業動感模擬遊戲機為例 (Doctoral dissertation).
4.呂洛帆、高國揚. (2017). 文化認同對消費者購買品牌服飾意願之研究—以臺北市大專院校學生為例 (Doctoral dissertation).
5.汪萱蕙. (2010). 鞋類製造業基本資料.
6.吳明龍. (2009). 結構方程模式:AMOS的操作與應用. 臺北市: 五南.
7.林芳珍、趙正敏. (2015). 消費者採用行動商務之科技特徵: TPB 與 TAM 之延伸研究. 運動休閒管理學報, 12(4), 1-17.
8.林信志、湯凱雯、賴信志. (2010). 以科技接受模式探討大學生學習以網路教學系統製作數位教材之意圖和成效. 數位學習科技期刊, 2(1), 60-78.
9.林璟瑋.(1995). 虛擬環境屬性設計系統-架構與實作. 交通大學經營管理研究所學位論文
10.陳寬裕、王正華. (2011). 論文統計分析實務 SPSS 與 AMOS 的運用 (二版). 台北市: 五南.
11.粘尹柔. (2017). 探討虛實整合模式中消費者滿意度對再購意向之交互影響關係-以產品屬性作為調節變項. 中興大學企業管理學系所學位論文, 1-54.
12.張詩宜. (2011). 知覺風險影響消費者對近場無線通訊 (NFC) 技術手機電子錢包付費之選擇意願研究─以台北市大學生為例.交通大學經營管理研究所學位論文, 1-78.
13.曾碧美. (2014). 從虛實整合觀點探討關係行銷及科技接受模式對顧客忠誠度之研究 (Doctoral dissertation).
14.葉金源. (2009). 大型動感模擬遊戲機之市場區隔與消費者接受意願之研究 (Doctoral dissertation).
15.潘采穎. (2003). 電子商務平台之互動虛擬化介面研究. 成功大學工業設計學系學位論文, 1-75.
16.魏文欽. (2008). 資料分析技巧-結構方程模式 AMOS. LISREL, SAS 之應用. 臺北市: 雙葉.

6.2英文索引
1.Ajzen, I. (1985). “From intentions to actions: A theory of planned behavior.”; In J. Kuhl & J. Beckman eds., Action-control: From Cognition to Behavior, Heidelberg: Springer,pp. 11-39.
2.Ajzen, I. (1989). “Attitude Structure and Behavior.” Attitude Structure and Function,241-274.
3.Ajzen, I., & Fishbein, M. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research.
4.Bagozzi, R. P., & Yi, Y. (1988). “On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16(1), 74-94.
5.Bailey, J. O., Bailenson, J. N., & Casasanto, D. (2016). “When Does Virtual Embodiment Change Our Minds?” Presence: Teleoperators and Virtual
6.Environments, 25(3), 222-233.
7.Baker (1986). “Psychographics and Form Where It Comes.” Lifestyle and Psychographics, William D. Wells Edition.
8.Bakos, J. Y., & Treacy, M. E. (1986). “Information Technology and Corporate Strategy: A Research Perspective.” MIS quarterly, 107-119.
9.Barnard, M. (1996). “Fashion as Communication.”, Routledge.
10.Bergamasco, M., Salsedo, F., Fontana, M., Tarri, F., Avizzano, C. A., Frisoli, A., ... & Marcheschi, S. (2007). “High Performance Haptic Device for Force Rendering in Textile Exploration.” The Visual Computer, 23(4), 247-256.
11.Berman, B., Evans, J. R., & Lowry, J. R. (1995). Retail Management: A Strategic Approach. NY. Prentice-Hall International London Press.
12.Bitner, M. J. (1992). “Servicescapes: The impact of physical surroundings on customers and employees.” The Journal of Marketing, 57-71.
13.Brandon-Jones, A., & Kauppi, K. (2018). “Examining the antecedents of the Technology Acceptance Model within e-procurement.” International Journal of Operations & Production Management, 38(1), 22-42.
14.Brooks, F. P. (1999). “What's real about virtual reality?” IEEE Computer Graphics and Applications, 19(6), 16-27.
15.Burdea, G. C., & Coiffet, P. (2003). Virtual Reality Technology (Vol. 1). John Wiley & Sons.
16.Chang, M., Cheung, W., & Lai, V. (2005). “Literature Derived Reference Models for the Adoption of Online Shopping.” Information & Management, 42 (4), pp. 543–559.
17.Chen, W., Clavel, C., Férey, N., & Bourdot, P. (2014). “Perceptual conflicts in a multistereoscopic immersive virtual environment: Case study on face-to-face interaction through an avatar.” Presence: Teleoperators and Virtual Environments, 23(4), 410-429.
18.Coates, V. (1998). Buying and Selling on the Internet: Retail Electronic Commerce. Institute for Technology Assessment.
19.Cockerham, P. W. (1995). “Homart revises Virginia mall with renovation and remarketing.” Stores, October, 16-18.
20.Cronbach, L. J. (1951). “Coefficient alpha and the internal structure of tests.” Psychometrika, 16(3), 297-334.
21.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.
22.Devaraj, S., Fan, M., & Kohli, R. (2002). “Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics.” Information Systems research, 13(3), 316-333.
23.DiMaggio, P., & Louch, H. (1998). “Socially embedded consumer transactions: For what kinds of purchases do people most often use networks?” American Sociological Review, 619-637.
24.Easey, M. (Ed.). (2009). Fashion marketing. John Wiley & Sons. 22. Fontaine, G., “The experience of a sense of presence in intercultural and international encounters.” Presence: Teleoperators and Virtual Environments. Vol. 1 No.4, pp.1-9., 1993.
25.Fornell, C., & Larcker, D. F. (1981). “Evaluating structural equation models with unobservable variables and measurement error.” Journal of Marketing Research, 39-50.
26.Friedman, L. G., & Furey, T. R. (1999). The Channel Advantage: Going to Market with Multiple Sales Channels to Reach More Customers, Sell More Products, Make More Profit. Routledge.
27.George, D., & Mallery, M. (2003). Using SPSS for Windows Step by Step: A Simple Guide and Reference.
28.Gulati, R., & Garino, J. (2000). “Get the right mix of bricks & clicks.” Harvard Business Review, 78(3), 107-14.
29.Gyrd-Jones, R. I., & Kornum, N. (2013). “Managing the co-created brand: Value and cultural complementarity in online and offline multi‐stakeholder ecosystems.” Journal of Business Research, 66(9), 1484-1493.
30.Ha, S., & Stoel, L. (2008). “Consumer e-shopping acceptance: Antecedents in a technology acceptance model.” Journal of Business Research, 62(5), 565-571.
31.Hagel 3rd, J., & Singer, M. (1999). “Unbundling the corporation.” Harvard Business Review, 77(2), 133-41.
32.Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate Data Analysis (Vol. 5, No. 3, pp. 207-219). Upper Saddle River, NJ: Prentice hall.
33.Hanson, W. (2000). Internet Marketing. South-Western College Publishing, Inc
34.Hayes, A. F. (2013). Introduction to Mediation, Moderation, and Conditional Process analysis: A Regression-Based Approach. Guilford Publications.
35.Herhausen, D., Binder, J., Schoegel, M., & Herrmann, A. (2015). “Integrating bricks with clicks: retailer-level and channel-level outcomes of online–offline channel integration.” Journal of Retailing, 91(2), 309-325.
36.IJsselsteijn, W. A., de Ridder, H., Freeman, J., & Avons, S. E. (2000, January). “Presence: concept, determinants, and measurement.” In Human vision and Electronic Imaging (Vol. 3959, pp. 520-529).
37.Jerome, C. J., & Witmer, B. (2002, September). “Immersive tendency, feeling of presence, and simulator sickness: formulation of a causal model.” In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 46, No. 26, pp. 2197-2201). Sage CA: Los Angeles, CA: SAGE Publications.
38.Kiang, M. Y., Raghu, T. S., & Shang, K. H. M. (2000). “Marketing on the Internet—who can benefit from an online marketing approach?” Decision Support Systems, 27(4), 383-393.
39.Kim, C., Mirusmonov, M., & Lee, I. (2010). “An empirical examination of factors influencing the intention to use mobile payment.” Computers in Human Behavior, 26(3), 310-322.
40.Legris, P., Ingham, J., & Collerette, P. (2003). “Why do people use information technology? A critical review of the technology acceptance model.” Information & Management, 40(3), 191-204.
41.Lieberman, M., & Hall, R. E. (2005). Introduction to Economics. Thomson South-Western.
42.Likert, R. (1932). “A technique for the measurement of attitudes.” Archives of Psychology.
43.McLafferty, S. L., & Ghosh, A. (1986). “Multipurpose shopping and the location of retail firms.” Geographical Analysis, 18(3), 215-226.
44.Mehrabian, A., & Russell, J. A. (1974). “An Approach to Environmental Psychology.” the MIT Press.
45.Milgram, P., & Kishino, F. (1994). “A Taxonomy of mixed reality visual displays.” IEICE TRANSACTIONS on Information and Systems, 77(12), 1321-1329.
46.Nelson, D.L. (1990). “Individual Adjustment to Information-Driven Technologies: A Critical Review.” MIS Quarterly, 14 (1), pp.79–98.
47.Ngai, E. W., Poon, J. K. L., & Chan, Y. H. (2007). “Empirical examination of the adoption of WebCT using TAM.” Computers & Education, 48(2), 250-267
48.Nguyen, T. D., & Huynh, P. A. (2018, January). “The Roles of Perceived Risk and Trust on E–Payment Adoption.” In International Econometric Conference of Vietnam (pp. 926-940). Springer, Cham.
49.O’cass, A., & Fenech, T. (2003). “Web retailing adoption: exploring the nature of internet users Web retailing behaviour.” Journal of Retailing and Consumer Services, 10(2), 81-94.
50.Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1991). Refinement and reassessment of the SERVQUAL scale. Journal of retailing, 67(4), 420.
51.Park, S. Y., Nam, M. W., & Cha, S. B. (2012). “University students' behavioral intention to use mobile learning: Evaluating the technology acceptance model.” British Journal of Educational Technology, 43(4), 592-605.
52.Pavlou, P. A. (2003). “Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model.” International Journal of Electronic Commerce, 7(3), 101-134.
53.Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1997). “Exploring the implications of the Internet for consumer marketing.” Journal of the Academy of Marketing Science, 25(4), 329-346.
54.Pratt, D. R., Zyda, M., & Kelleher, K. (1995). Virtual Reality: In the Mind of the Beholder.
55.Rampell, A. (2010). “Why online2offline commerce is a trillion-dollar opportunity.”, Tech Crunch.
56.Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). “Technology acceptance model (TAM) and social media usage: an empirical study on Facebook” Journal of Enterprise Information Management, 27(1), 6-30.
57.Rayport, J. F., & Sviokla, J. J. (1995). “Exploiting the virtual value chain.” Harvard Business Review, 73(6), 75.
58. Roscoe, J. T. (1975). Fundamental Research Statistics for the Behavioral Sciences [by] John T. Roscoe.
59.Rothman, J. L. (1989). Using Multivariate Statistics, 2nd ed. Harper & Row Inc.
60.Russell, J. A., & Mehrabian, A. (1976). “Some behavioral effects of the physical environment.” In Experiencing the Environment (pp. 5-18). Springer US.
61.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.
62.Slater, M. (1999). “Measuring presence: A response to the Witmer and Singer presence questionnaire.” Presence: Teleoperators and Virtual Environments, 8(5), 560-565.
63.Sproles, G. B., & Burns, L. D. (1994). Changing Appearances: Understanding Dress in Contemporary Society. Fairchild Publications.
64.Stanney, K., & Salvendy, G. (1998). “Aftereffects and sense of presence in virtual environments: Formulation of a research and development agenda.” International Journal of Human-Computer Interaction, 10(2), 135-187.
65.Steinfield, C., & Harry Bouwman, T. A. (2002). “The dynamics of click-andmortar electronic commerce: opportunities and management strategies.” International Journal of Electronic Commerce, 7(1), 93-119.
66.Steuer, J. (1992). “Defining virtual reality: Dimensions determining telepresence.” Journal of Communication, 42(4), 73-93.
67.Verhoef, P. C., Neslin, S. A., & Vroomen, B. (2007). “Multichannel customer management: Understanding the research-shopper phenomenon.” International Journal of Research in Marketing, 24(2), 129-148.
68.Vijayasarathy, L. R. (2004). “Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model.” Information & management, 41(6), 747-762.
69.Wakefield, K. L., & Baker, J. (1998). “Excitement at the mall: determinants and effects on shopping response.” Journal of Retailing, 74(4), 515-539.
70.Ward, J. C., & Barnes, J. W. (2001). “Control and affect: the influence of feeling in control of the retail environment on affect, involvement, attitude, and behavior.” Journal of Business Research, 54(2), 139-144.
71.Witmer, B. G., & Singer, M. J.(1998) “Measuring presence in virtual environments: A presence questionnaire.” Presence: Teleoperators and Virtual Environments, 7(3), 225–240.
72.Witmer, B. G., Jerome, C. J., & Singer, M. J. (2005). “The factor structure of the presence questionnaire.” Presence: Teleoperators and Virtual Environments, 14(3), 298-312.
73.Wright, S. (1921). “Correlation and causation.” Journal of agricultural research, 20(7), 557-585.
74.Wu, L., Li, J. Y., & Fu, C. Y. (2011). “The adoption of mobile healthcare by hospital's professionals: An integrative perspective.” Decision Support Systems, 51(3), 587-596.
75.Zaichkowsky, J. L. (1985). “Measuring the involvement construct.” Journal of consumer research, 12(3), 341-352.
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