請用此 Handle URI 來引用此文件：
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/39028完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 許瑋元(Wei-Yuan Hsu) | |
| dc.contributor.author | Yu-Cheng Yeh | en |
| dc.contributor.author | 葉昱呈 | zh_TW |
| dc.date.accessioned | 2021-06-13T16:58:14Z | - |
| dc.date.available | 2013-07-27 | |
| dc.date.copyright | 2011-07-27 | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011-07-14 | |
| dc.identifier.citation | 一、 中文部分
邱建智. (2003). 負面口碑訊息對於消費者購買決策影響之探討. 國立台灣科技大學企業管理研究所. 陳書林. (2006). 網路負面口碑對消費者購買決策之影響. Paper presented at the 2006 第10屆科際整合管理研討會. 經濟部商業司. (2010). 2009年電子商務法治及基礎環境建構計畫. 資策會創新應用服務研究所. (2010). 2009年我國家庭寬頻應用現況與需求調查. 二、 英文部分 Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 33. Ajzen, I., & Fishbein, M. (1980). Understanding Attitude and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall. Allport, G. W., & Cantril, H. (1935). The Psychology of Radio. Alreck, P., & Settle, R. B. (2002). Gender Effects on Internet, Catalogue and Store Shopping. Journal of Database Marketing, 9(2), 13. Amblee, N., & Bui, T. (2008). Can Brand Reputation Improve the Odds of Being Reviewed On-Line? International Journal of Electronic Commerce, 12(3), 18. Arndt, & Johan. (1967). Role of Product-Related Conversations in the Diffusion of a New Product. Journal of Marketing Research, 4(3), 5. Awad, N. F., & Ragowsky, A. (2008). Establishing Trust in Electronic Commerce Through Online Word of Mouth: An Examination Across Genders. Journal of Management Information Systems, 24(4), 21. Bagchi, K., & Mahmood, M. A. (2004). A Longitudinal Study of Business Model of On-Line Shopping Behavior Using a Latent Growth Curve Approach. Paper presented at the Proceedings of the Tenth Americas Conference on Information Systems. Bakos, J. Y. (1997). Reducing Buyer Search Costs: Implications for Electronic Marketplaces. Management Science, 43(12), 17. Barnes, S. J., & Vidgen, R. T. (2000). Webqual: An Exploration Of Web Site Quality. European Conference on Information Systems, 1, 8. Barnes, S. J., & Vidgen, R. T. (2001a). An Evaluation of Cyber-Bookshops: The Webqual Method. International Journal of Electronic Commerce, 6(1), 20. Barnes, S. J., & Vidgen, R. T. (2001b). Assessing the Effect of A Web Site Redesign Initiative: An Sme Case Study. International Journal of Management Literature, 1(1), 14. Barnes, S. J., & Vidgen, R. T. (2001c). Assessing the Quality of Auction Web Sites. International Conference on Systems Sciences. Baron, R. M., & 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), 10. Bauer, H. H., Reichardt, T., Barnes, S. J., & Neumann, M. M. (2005). Driving Consumer Acceptance of Mobil Marketing: A Theoretical Framework and Empirical Study. Journal of Electronic Commerce Research, 6(3), 12. Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On Risk, Convenience, and Internet Shopping Behavior. Communications of the ACM, 43(11), 8. Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 20. Bickart, B. (2002). Expanding the Scope of Word of Mouth: Consumer-to-Consumer Information on the Internet. Advances in Consumer Research, 29(1), 3. Bickart, B., & Schindler, R. M. (2001). Internet Forums as Influential Sources of Consumer Information. Journal of Interactive Marketing, 15(3), 10. Bone, P. F. (1992). Determinants of word-of-mouth communications during product consumption. Advances in Consumer Research, 5. Brown, Johnson, J., & Reingen, P. H. (1987). Social Ties and Word-of-Mouth Referral Behavior. Journal of Consumer Research, 14(3), 13. Brown, J., Broderick, A. J., & Lee, N. (2007). Word of Mouth Communication within Online Communities: Conceptualizing the Online Social Network. Journal of Interactive Marketing, 21(3), 19. Chau, P. Y. K., Cole, M., Massey, A. P. M., Montoya-Weiss, M., & O'keefe, R. M. (2002). Cultural Differences in the Online Behavior of Consumers. Communications of the ACM, 45(10), 6. Chen, L. D., Gillenson, M. L., & Sherrell, D. L. (2002). Enticing Online Consumers: An Extended Technology Acceptance Perspective. Information & Management 39(8), 15. Cheung, M. K., & Lee, K. O. (2008). Research Framework for Consumer Satisfaction with Internet. Childers, T., Carr, C., Peck, J., & Carson, S. (2001). Hedonic and Utilitarian Motivations for Online Retail Shopping Behavior. Journal of Retailing, 77, 25. Cho, J. (2004). Likelihood To Abort An Online Transaction: Influences From Cognitive Evaluations, Attitudes, and Behavioral Variables. Information & Management, 41, 12. Citrin, A. V., Sprott, D. E., Silverman, S. N., & Stem Jr, D. E. (2000). Adoption of Internet Shopping: the Role of Consumer Innovativeness. Industrial Management & Data Systems, 100(7), 8. Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theoryand Results. MIT. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13(3), 22. Dellarocas, C. (2003). The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms. Management Science, 49(10), 18. DeLone, W., & McLean, E. (1992). Information System Success: The Quest for the Dependent Variable. Information System Research, 3(1), 36. DeLone, W., & McLean, E. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 22. Diehl, K., Kornish, L. J., & Jr., J. G. L. (2003). Smart Agents: When Lower Search Costs for Quality Information Increase Price Sensitivity. Journal of Consumer Research, 30(1), 15. Donthu, N., & Garcia, A. (1999). The Internet Shopper. Journal of Advertising Research, 39(3), 7. Duhan, D. F., Johnson, S. D., Wilcox, J. B., & Harrell, G. D. (1997). Influences on Consumer Use of Word-of-Mouth Recommendation Sources. Journal of the Academy of Marketing Science, 25(4), 13. Dwivedi, Y. K., Choudrie, J., & Brinkman, W. P. (2008). Development of A Survey Instrument to Examine Consumer Adoption of Broadband. Industrial Management and Data Systems, 106(5), 19. Dwivedi, Y. K., Kiang, M. Y., Williams, M. D., & Lal, B. (2008). Profiling Research Published in The Journal of Electronic Commerce Research. Journal of Electronic Commerce Research, 9(2), 15. Dwyer, P. (2007). Measuring the Value of Electronic Word of Mouth and Its Impact in Consumer Communities. Journal of Interactive Marketing, 21(2), 17. Ellison, G., & Ellison, S. F. (2001). Search, Obfuscation, and Price Elasticities on the Internet. Engel, E., J., Blackwell, R. D., & Kegerreis, R. J. (1969). How Information Is Used to Adopt an Innovation. Journal of Advertising Research, 6. Feldman, S. P., & Spencer, M. C. (1965). The Effect of Personal Influence in the Selection of Consumer Services. Paper presented at the Proceedings of the Fall Conference of the American Marketing Association. Foucault, B., & Scheufele, D. (2002). Web vs. Campus Store? Why Students Buy Textbooks Online. Journal of Consumer Marketing, 19(4&5), 16. Frenzen, K., J., & Davis, H. L. (1990). Purchasing Behavior in Embedded Markets. Journal of Consumer Research, 17(1), 12. Garbarino, E., & Strabilevitz, M. (2004). Gender Differences in the Perceived Risk of Buying Online and the Effects of Receiving a Site Recommendation. Journal of Business Research, 57, 8. Gauri, D. K., Bhatnagar, A., & Rao, R. (2008). Role of Word of Mouth in Online Store Loyalty. Communications of the ACM, 51(3), 3. Giese, J. L., & Gote, J. A. (2000). Defining Consumer Satisfaction. Academy of Marketing Science Review. Godes, D., & Mayzlin, D. (2004). Using Online Conversations to Study Word-of-Mouth Communication. Marketing Science, 23(4), 16. Gruen, T. W., Osmonbekov, T., & Czaplewski, A. J. (2006). eWOM: The Impact of Customer-to-Customer Online Know-how Exchange on Customer Value and Loyalty. Journal of Business Research, 59(4), 8. Guterman, J. (2009). Does Current Copyright Law Hinder Innovation? MIT Sloan Management Review, 50(2), 2. Han, K. S., & Noh, M. H. (1999). Critical Failure Factors that Discourage the Growth of Electronic Commerce. International Journal of Electronic Commerce, 4(2), 19. Harris, P., Rettie, R., & Kwan, C. C. (2005). Adoption and Usage of M-Commerce: A Cross-Cultural Comparison of Hong Kong and the United Kingdom. Journal of Electronic Commerce Research, 6(3), 15. Hatzivassiloglou, V., & McKeown, K. R. (1997). Predicting the Semantic Orientation of Adjectives. Paper presented at the In Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics. Hennig-Thurau, T., & Walsh, G. (2003). Electronic Word-of-Mouth: Motives for and Consequences of Reading Customer Articulations on the Internet. International Journal of Electronic Commerce, 8(2), 24. Hirschheim, R. (2007). Quo Vadis TAM- Issues and Reflections on Technology Acceptance Research. Journal of the Association for Information Systems, 8(4), 3. Hoch, S. J. (2002). Product Experience is Seductive. Journal of Consumer Research, 29(3), 7. Hofstede, G. (1984). Culture's Consequences: International Differences in Work-Related Values. Newbury Park, CA: Sage. Huang, L. S., J., C. Y., & H., L. C. (2008). The Influence of Reading Motives on the Responses after Reading Blogs. CyberPsychology & Behavior, 11(3), 5. Iyer, G., & Pazgal, A. (2003). Internet Shopping Agents: Virtual Co-Location and Competition. Marketing Science, 22(1), 22. Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer Trust in an Internet Store. Information Technology and Management, 1(1&2), 27. Kiecker, P., & Cowles, D. (2001). Interpersonal Communication and Personal Influence on the Internet: A Framework for Examining Online Word-of-Mouth. Journal of Euro - Marketing, 11(2), 1. Kim, D., & I. Benbasat. (2003). Trust-related Arguments in Internet Stores: A Framework for Evaluation. Journal of Electronic Commerce Research, 4(2), 16. Kim, S. M., Pantel, P., Chklovski, T., & Pennacchiotti, M. (2006). Automatically Assessing Review Helpfulness. Paper presented at the In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing. Kocas, C. (2003). volution of Prices in Electornic Markets under Diffusion of Price-comparisn Shopping. Journal of Management Information Systems, 19(3), 21. Kwak, H., Fox, R. J., & Zinkhan, G. M. (2002). What Products Can Be Successfully Promoted and Sold via the Internet? Journal of Advertising Research, 42(1), 6. Lee, T. M. (2005). The Impact of Perceptions of Interactivity on Customer Trust and Transaction Intentions in Mobile Commerce. Journal of Electronic Commerce Research, 6(3), 16. Li, H., Kuo, C., & Russell, M. G. (1999). The Impact of Perceived Channel Utilities, Shopping Orientations, and Demographics on the Consumer's Online Buying Behavior. Journal of Computer-Mediated Communication, 5(2). Lim, K. H., Sia, C. L., Lee, M. K. O., & Benbasat, I. (2001). How Do I Trust You Online, and If So, Will I Buy? An Empirical Study on Designing Web Contents to Develop Online Trust. Limayem, M., Khalifa, M., & Frini, A. (2000). What Makes Consumers Buy From Internet? A Longitudinal Study of Online Shopping. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 30(4), 12. Liu, Y., Huang, X., An, A., & Yu, X. (2008). Modeling and Predicting the Helpfulness of Online Reviews. Paper presented at the In ICDM '08: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining. Luran, & Lin. (2003). A Customer Loyalty Model for E-service Context. Journal of Electronic Commerce Research, 4(4), 12. Lynch, J. G. J., & Ariely, D. (2000). Wine Online: Search Costs Affect Competition on Price, Quality and Distribution. Marketing Science, 19(1), 21. MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A Comparison of Methods to Test Mediation and Other Intervening Variable Effects. Psychological Methods, 7(1), 22. Menczer, F., Monge, A. E., & Street, W. N. (2002). Adaptive Assistants for Customized E-shopping. IEEE Intelligent Systems, 17(6), 8. Mensinger, J. L., Lynch, K. G., TenHave, T. R. m., & McKay, J. R. (2007). Mediators of Telephone-Based Continuing Care for Alcohol and Cocaine Dependence. Journal of Consulting and Clinical Psychology, 75(5), 10. Molla, A., & Licker, P. S. (2001). E-Commerce Systems Success: An Attempt to Extend and Respecify the Delone and Maclean Model of Is Success. Journal of Electronic Commerce Research, 2(4), 11. Montgomery, A. L., Hosanagar, K., Krishnan, R., & Clay, K. B. (2004). Designing a Better Shopbot. Management Science, 50(2), 18. Muller, D., Judd, C. M., & Yzerbyt, V. Y. (2005). When Moderation is Mediated and Mediation is Moderated. Journal of Personality and Social Psychology, 89(6), 12. Nettleton, E. (2009). ECJ Rules on Acts of Extraction that Infringe Database Right. Computer Law & Security Review, 25(2), 4. Nysveen, H., & Pedersen, P. (2004). An Exploratory Study of Customers' Perception of Company Web Sites offering Various Interactive Applications: Moderating Effects of Customers' Internet Experience. Decision Support Systems, 37(1), 14. Pang, B., Lee, L., & Vaithyanathan, S. (2002). Thumbs up? Sentiment Classification Using Machine Learning Techniques. Paper presented at the In EMNLP '02: Proceedings of the ACL-02 conference on Empirical methods in natural language processing. Parasuraman, A., Zeithaml, A., & Berry, L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4), 10. Parasuraman, A., Zeithaml, A., & Berry, L. (1988). SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 64(1), 29. Park, C., & Jun, J.-K. (2003). A Cross-Cultural Comparison of Internet Buying Behavior. International Marketing Review, 20(5), 21. 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), 34. Pine, B. J., II., & Gilmore, J. H. (1999). The Experience Economy: Work is Theatre & Every Business a Stage. Boston: Harvard Business School Press. Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995). Service Quality: A Measure of Information Systems Effectiveness. MIS Quarterly, 19(2), 15. Reichheld, F. F., & Schefter, P. (2000). E-Loyalty: Your Secret Weapon on the Web. Harvard Business Review, 78(4), 9. Reingen, P. H., & Kernan, J. B. (1986). Analysis of Referral Networks in Marketing: Methods and Illustration. Journal of Marketing Research, 23(4), 9. Richins, & L., M. (1983). Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot Study. Journal of Marketing, 47(1), 11. Rodgers, W., Negash, S., & Suk, K. (2005). The Moderating Effect of On-line Experience on the Antecedents and Consequences of On-line satisfaction. Psychology and Marketing, 22(4), 19. Rogers, E. M. (1995). Diffusion of Innovations (4th Edition ed.). New York: The Free Press: Macmillan Publishing Co. Schmitt, B. (1999). Experiential Marketing. Journal of Marketing Management, 15(1-3), 15. Schuette, D. (2000). Turning E-business barriers into strengths. Information Systems Management, 6. Sin, L., & Tse, A. (2002). Profiling Internet Shoppers in Hong Kong: Demographic, Psychographic, Attitudinal and Experiential Factors. Journal of Interactive Marketing, 15(1), 23. Slyke, C. V., Comunale, C. L., & Belanger, F. (2002). Gender Differences in Perceptions of Web-Based Shopping. Communications of the ACM 45(7), 5. Smith, M., & Brynjol, E. (2001). Customer Decision Making at an Internet Shopbot: Brand Still Matters. Journal of Industrial Economics, 49(4), 18. Smith, M. D. (2002). The Impact of Shopbots on Electronic Markets. Journal of the Academy of Marketing Science, 30(4), 9. Stafford, T. F., Turan, A., & Raisinghani, M. S. (2004). International and Cross-Cultural Influences on Online Shopping Behavior. Journal of Global Information Management, 7(2), 18. Susskind, A. (2004). Electronic Commerce and World Wide Web Apprehensiveness: An Examination of Consumers' Perceptions of the World Wide Web. Journal of Computer-Mediated Communication, 9(3). Tan, C.-H., Goh, K.-Y., & Teo, H.-H. (2010). Effects of Comparison Shopping Websites on Market Performance: Does Market Structure Matter? Journal of Electronic Commerce Research, 11(3), 27. Taylor, A. B., MacKinnon, D. P., & Tein, J. Y. (2008). Tests of the Three-Path Mediated Effect. Organizational Research Methods, 11(2), 29. Trifts, V., & Haubl, G. (2003). Information Availability and Consumer Preference: Can Online Retailers Benefit from Providing Access to Competitor Price Information? Journal of Consumer Psychology, 13(1&2), 11. Turban, E., & Gehrke, D. (2000). Determinants of E-commerce Website. Human Systems Management, 19(2), 10. Turney, P. D. (2002). Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. Paper presented at the In ACL '02: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics. Venkatesh, V., Davis, F. D., & Morris, M. G. (2007). Dead or alive? The Development, Trajectory and Future of Technology Adoption Research. Journal of the Association for Information Systems, 8(4), 20. Wan, Y., & Liu, Y. (2008). The Impact of Legal Challenges on the Evolution of Web-based Intelligent Agents. Journal of International Commercial Law and Technology, 3(2), 8. Wan, Y., Menon, S., & Ramaprasad, A. (2007). A Classification of Product Comparison Agents. Communications of the ACM, 50(8), 7. Wang, Y., Tang, T. I., & Tang, J. E. (2001). An Instrument for Measuring Customer Satisfaction toward Web Sites That Market Digital Products and Services. Journal of Electronic Commerce Research, 2(3), 14. Warrington, T. B., Abgrab, N. J., & Caldwell, H. M. (2000). Building Trust to Develop Competitive Advantage in E-business Relationships. Competitiveness Review, 10(2), 9. Wee, K. N. L., & Ramachandra, R. (2000). Cyberbuying in China, Hong Kong and Singapore: Tracking the Who, Where, Why and What Online Buying. International Journal of Retail & Distribution Management, 28(7), 10. Weimer, M., & Gurevych, I. (2007a). Predicting the Perceived Quality of Web Forum Posts. Paper presented at the Proceedings of the Conference on Recent Advances in Natural Language Processing. Xia, L. (2002). Affect As Information: the Role of Affect in Consumer Online Behaviors. Advances in Consumer Research, 29(1), 8. Xiao, B., & Benbasat, I. (2007). E-Commerce Product Recommendation Agents: Use Characteristics, and Impact. MIS Quarterly, 31(1), 63. Yuan. (2002). A Personalized and Integrative Comparison-Shopping Engine and Its Applications. Decision Support Systems, 34(2), 18. Zhou, L., Dai, L., & Zhang, D. (2007). Online Shopping Acceptance Model - A Critical Survey of Consumer Factors in Online Shopping. Journal of Electronic Commerce Research, 8(1), 22. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/39028 | - |
| dc.description.abstract | 近年來使用者在網路上透過真實人際關係進行互動以及網路購物的行為比例已大幅增加，同時從電子商務業者對於電子行銷工具的投資金額中也發現業者已開始利用社群概念的電子行銷工具發展不同的行銷策略，因此未來若要有效提高消費者的購買意願，利用使用者端的訊息傳遞管道將是相當有效的說服途徑，為了瞭解在這樣的說服途徑中消費者所分享的資訊與社會關係連結對於線上購物意願的影響為何，本研究將探討網路口碑、社會關係連結以及其他因素是否會影響，以及如何影響消費者的線上購物意願。
本研究以Zhou的線上購物接受模型為基礎，探討消費者的背景因素、網路口碑的強度、以及社會關係連結強度對於線上購物意願的影響，研究範圍包含各種類型的商品與服務，並以台灣地區曾從事過線上購物或對於線上購物有一定程度了解的消費者作為研究對象。 本研究之主要發現包括：第一，消費者的性別差異會改變外界群體對於消費者的影響程度，研究結果發現女性受外界群體的影響較高。第二，消費者產生線上購物意願的方式遵循原本線上購物接受模型的路徑，透過認知結果-態度以及規範信仰兩種路徑影響線上購物意願。第三，網路口碑能夠透過線上購物接受模型中認知結果-態度以及規範信仰兩種路徑影響線上購物意願，當網路口碑傳播的正面程度越高，消費者線上購物意願的程度也較高。第四，社會關係連結並不會調節網路口碑與線上購物意願之間的關係，而是同樣透過線上購物接受模型中認知結果-態度以及規範信仰兩種路徑影響線上購物意願，當社會關係連結越強，消費者線上購物意願的程度也較高。 | zh_TW |
| dc.description.abstract | In recent years, the proportion of user interaction and online shopping behavior through real relationships has increased substantially; meanwhile, we found that sellers have used community-based marketing tools to develop marketing strategies. The communication between users could be an effective way to improving consumers’ intention of online shopping. This study will find out whether and how eWOM, social connection, and other factors have an influence on online shopping intention.
This study is based on Zhou’s Online Shopping Acceptance Model, to find out the influence of consumer demographics, eWOM, and social connection on online shopping intention. The research scope contains any type of product and service, and the research objects are the consumers with online shopping experience or basic knowledge. The result of this study is that: First, gender will change the impact from outside groups. We found that female would receive greater impact from outside groups. Second, the ways consumers build up online shopping ontention will follow the paths in OSAM. Third, eWOM will have an influence on online shopping intention by following the paths in OSAM, when consumers receive better eWOM, they would build up greater intention. Forth, social connection won’t moderate the relation between eWOM and online shopping intention, social connection will have an influence on online shopping intention by following the paths in OSAM, when social connection is stronger, and consumers would build up greater intention. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-13T16:58:14Z (GMT). No. of bitstreams: 1 ntu-100-R98725024-1.pdf: 634853 bytes, checksum: 668db0c1c0fdc56ea04635017dca1b55 (MD5) Previous issue date: 2011 | en |
| dc.description.tableofcontents | 謝辭 iii
摘要 iv Abstract v 表目錄 viii 圖目錄 xi 第一章 導論 1 第一節 研究背景與動機 1 第二節 研究目的 4 第三節 研究設計 5 第二章 文獻探討 6 第一節 電子商務發展 6 第二節 比價購物與推薦代理 10 第三節 口碑傳播 13 第三章 研究架構 17 第一節 線上購物接受模型(Online Shopping Acceptance Model) 17 第二節 研究架構 21 第三節 研究假說 23 第四章 研究設計 28 第一節 變數定義與操作 28 第二節 控制變數 32 第三節 研究對象與問卷進行方式 33 第四節 資料分析方法 37 第五章 資料分析 41 第一節 問卷回收情況與敘述統計分析 41 第二節 問卷量表檢測 45 第三節 迴歸分析 49 第四節 中介效果分析 64 第五節 被調節中介效果分析 72 第六章 結論 81 第一節 研究結論 81 第二節 研究限制 84 第三節 研究建議 85 參考文獻 88 附錄一 正式問卷 99 | |
| dc.language.iso | zh-TW | |
| dc.subject | 線上購物接受模型 | zh_TW |
| dc.subject | 電子商務 | zh_TW |
| dc.subject | 網路口碑 | zh_TW |
| dc.subject | 社會關係連結 | zh_TW |
| dc.subject | 線上購物意願 | zh_TW |
| dc.subject | e-Commerce | en |
| dc.subject | Online Shopping Acceptance Model | en |
| dc.subject | Online Shopping Intention | en |
| dc.subject | Social Connection | en |
| dc.subject | eWOM | en |
| dc.title | 探討網路口碑傳播與社會關係連結對於線上購物意願之影響 | zh_TW |
| dc.title | The Influence of eWOM and Social Connection on Online Shopping Intention | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 99-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 王大維(Ta-Wei Wang),張欣綠(Hsin-Lu Chang) | |
| dc.subject.keyword | 電子商務,網路口碑,社會關係連結,線上購物意願,線上購物接受模型, | zh_TW |
| dc.subject.keyword | e-Commerce,eWOM,Social Connection,Online Shopping Intention,Online Shopping Acceptance Model, | en |
| dc.relation.page | 102 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2011-07-14 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| 顯示於系所單位： | 資訊管理學系 | |
文件中的檔案：
| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-100-1.pdf 未授權公開取用 | 619.97 kB | Adobe PDF |
系統中的文件，除了特別指名其著作權條款之外，均受到著作權保護，並且保留所有的權利。