臺灣博碩士論文加值系統

口碑傳播被認為是影響消費決策最甚之行銷工具。隨著網際網路之普及，愈來愈多人利用網際網路當作傳送產品或服務相關訊息之工具，此一傳播行為特徵主要為非面對面、利用文字或圖片進行傳播，有別於傳統面對面、口語式的口碑傳播行為。因此，對於行銷研究而言，有必要建立專門探討網際網路消費訊息傳播之模式，以增進對此一議題之了解。
本論文將網際網路之傳播管道分為兩種，一為線上社群；另一為電子郵件方式，針對此二種管道各自進行一個實證研究。本論文之第一個研究，為奠基於社會認同理論與社會交換理論基礎下，提出一個用於解釋人們在線上社群如何進行消費訊息傳播之理論模式，並且利用線性結構模式（LISREL 8.3）驗證該理論模式之適切性。研究結果指出當人們之產品涉入或網際網路涉入愈高時，會增加人們對社群認同度之程度，就愈有可能會在線上社群傳播消費訊息，進而在實體生活中進行口碑傳播影響他人之購物決策。據此，建議線上社群管理者可以以此結果作為管理線上社群之參考。
本論文之第二個研究為考量台灣社會現象之一，為利用電子郵件將資訊分享給他人的作法，已逐漸成為人們發展關係的一種新文化趨勢。如何能有效地藉由人們傾向於利用轉寄電子郵件之便，以建立關係的行為模式幫助企業成功傳播企業相關訊息，則成為企業所必須重視與深思的議題。本研究以社會心理學之個人情緒狀態會激發或抑制特定行為理論及資訊豐富理論為基礎，提出解釋電子郵件引發收件者的情緒反應及電子郵件格式與收件者轉寄意願之關係。結果發現當電子郵件內容讓人們感受較多的正面情緒時，或電子郵件的內容呈現較為豐富的資訊時，包括：信件長度較長或是含有影音資料的電子郵件，人們的轉寄意願會比較高。而引發負面情緒反應的電子郵件與轉寄意願無顯著關係。據此，本研究建議行銷管理者可立基於本研究所提出之較易被收件者轉寄予他人的電子郵件之特徵，作為企業進行行銷訊息傳播應用之參考。
總結地說，本論文藉由兩個實證研究，對網際網路消費訊息傳播模式此一問題，提出一部份的解答，雖未能提出一個無所不包的理論模式，但已使我們對此問題之了解更向前跨進一大步。最後，本論文亦對未來研究方向提出一些建議。

This thesis draws on theories on social psychology, marketing and information management literature to develop two explanatory models that how and why people transmit product messages on the Internet.
The first study examined consumers’ involvement with product and the Internet in relation to opinion-giving behavior intentions. Data were collected from 197 posters in a specific online community, i.e. an electronic bulletin board, for cosmetics. Results showed that the influence of posters’ product involvement on “word-by-mouse” (WBM) in an online community and “word-of-mouth” (WOM) in the real world was mediated through the process of group identification, whereas Internet involvement can only influence WBM and WOM when Internet involvement is fully through group identification. Results also showed that posters high in WBM in an online community are more likely to spread WOM in the real world.
The second study aims to explain why e-mails trigger emotional response states in receivers and to explore the influence of e-mail formats on the receivers’ intention to forward e-mails. Data was collected from 305 undergraduate and EMBA students in one university in northern Taiwan. We asked participants to fill out the questionnaire based on any forwarded e-mail that they had recently received. The result reveals that people will have a stronger intention to forward e-mails that make them feel positive emotions, display richer information, are greater in length, or include audio and visual information. Enterprises can use this model in developing better guanxi with their customers.
In sum, this thesis provides an understanding for the issue of message dissemination on the Internet. Further research directions are also discussed.

中文摘要 I
ABSTRACT II
謝誌 III
TABLE OF CONTENTS VI
LIST OF TABLES VIII
LIST OF FIGURES IX
1. INTRODUCTION 1
1.1 BACKGROUND 1
1.2 PURPOSE OF THE THESIS 2
1.3 ORGANIZATION OF THE THESIS 4
1.4 REFERENCE 5
2. ESSAY1: THE INFLUENCE OF CONSUMERS' INVOLVEMENT ON WORD-BY-MOUSE AND WORD-OF-MOUTH 6
2.1 ABSTRACT 6
2.2 INTRODUCTION AND BACKGROUND 7
2.2.1 Opinion-giving behavior intentions defined 10
2.3 HYPOTHESIS 12
2.3.1 WBM and WOM 12
2.3.2 Product involvement and opinion-giving behavior intentions 13
2.3.3 Product involvement, Internet involvement, group identification and opinion-giving behavior intentions 15
2.4 METHODS 19
2.4.1 Research context 19
2.4.2 Data collection procedures 20
2.4.3 Samples 20
2.4.4 Measures 21
2.4.5 Analysis 24
2.5 RESULTS 24
2.5.1 Measurement model 25
2.5.2 Testing the proposed model 28
2.6 DISCUSSION AND IMPLICATIONS 29
2.6.1 Limitations and further research 32
2.6.2 Managerial implications 34
2.7 REFERENCES 36
3. ESSAY2: WHY ARE SOME E-MAILS FORWARDED AND OTHERS NOT? 43
3.1 ABSTRACT 43
3.2 INTRODUCTION 44
3.3 THE IMPACT OF EMOTIONAL RESPONSES ON E-MAIL FORWARDING INTENTION 47
3.3.1 Positive emotional responses 49
3.3.2 Negative emotional responses 50
3.3.3 Control variables: the e-mail format 52
3.3.4 Length of e-mail 53
3.3.5 Audio and visual information 54
3.3.6 Embedded vs. attached 54
3.4 METHODS 55
3.4.1 Participants and research procedures 55
3.4.2 Measures 57
3.4.2.1 Control variables: e-mail format 57
3.4.2.2 Positive emotional responses 58
3.4.2.3 Negative emotional responses 59
3.4.2.4 E-mail forwarding intention 59
3.4.2.5 Analysis 60
3.5 RESULTS 60
3.6 DISCUSSION AND CONCLUSION 62
3.7 REFERENCES 68
4. CONCLUSION 74
4.1 SUMMARY OF THE RESEARCH 74
4.2 CONTRIBUTIONS AND IMPLICATIONS 76
4.3 SUGGESTIONS FOR FUTURE RESEARCH 77
4.3.1 Different channels of Internet settings 77
4.3.2 Measurement of product/service on the Internet 77
4.3.3 Longitudinal research design 78
4.3.4 Cross culture 78
4.4 FINAL REMARKS 79
4.5 REFERENCE 80
作者簡介 81

Alon, A., Brunel, F. and Siegal, W.S. (2002), “Word-of-Mouth and Community Development Stages: Towards an Understanding of the Characteristics and Dynamics of Interpersonal Influences in Internet Communities”, Advances in Consumer Research, 29, 429–430.
Anderson, J.C. & 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) Word-of-Mouth advertising: A review of the literature. New York: Advertising Research Foundation Inc.
Bagozzi, R.P. & Dholakia, U.M. (2002), “Intentional social action in virtual communities”, Journal of Interactive Marketing, 16(2), 2–21.
Bagozzi, R.P. & Yi, Y. (1988), “On the evaluation of structural equation models”, Journal of the Academy of Marketing Science, 16(1), 74–94.
Bhattacharya, C.B. Rao, H. & Glynn, M.A. (1995), “Understanding the bond of identification: An investigation of its correlates among art museum members”, Journal of Marketing, 59(4), 46–57.
Bickart, B. & Schindler, R.M. (2001), “Internet forums as influential sources of consumer information”, Journal of Interactive Marketing, 15(3), 31–40.
Blau, P.M. (1964), Exchange and power in social life. New York: Wiley.
Bloch, P.H., Sherrell, D. & Ridgway, N.M. (1986), “Consumer search: An extended framework”, Journal of Consumer Research, 13(1), 119–126.
Bollen, K.A. (1989), Structural equations with latent variables. New York: Wiley.
Bone, P.F. (1995), “Word-of-Mouth effects on short-term and long-term product Judgments”, Journal of Business Research, 32, 213–223.
Boush, D.M. & Kahle, L. (2001), “Evaluating negative information in online consumer discussions: From qualitative analysis to signal detection”, Journal of Europe Marketing, 11(2), 89–105.
Bristor, J.M. (1990), “Enhanced explanations of word of mouth communications: The power of relationships”, Research in Consumer Behavior, 4, 51–83.
Brown, J.J. & Reingen, P.H. (1987), “Social ties and word-of- mouth referral behavior”, Journal of Consumer Research, 14(3), 350–362.
Bruce, M. R. (2002), “Word-of-mouth referral sources for buyers of international corporate financial services,” Journal of World Business, 35(3), 314–329.
Bruce, M. R., Gilly, M. C. and Graham, J. L. (1998), “Explorations of national culture and word-of-mouth referral behavior in the purchase of industrial services in the United States and Japan,” Journal of Marketing, 62, 76–87.
Celsi, R.L. & Olson, J.C. (1988), “The role of involvement in attention and comprehension processes”, Journal of Consumer Research, 15(1), 210–224.
Chittenden, L., and Rettie, R. (2003), “An evaluation of e-mail marketing and factors affecting response”, Journal of Targeting, Measurement and Analysis for Marketing, 11(3), 203–217.
Cialdini, R. B., Baumann, D. J., and Kenrick, D. T. (1981), “Insights from sadness: A three-step model of the development of altruism as hedonism”, Developmental Review, 1, 207–223.
Cunningham, M. R. (1979), “Weather, mood, and helping behavior: Quasi-experiments with the sunshine Samaritan”, Journal of Personality and Social Psychology, 37, 1947–1956.
Cunningham, M. R., Shaffer, D. R., Barbee, A. P., Wolff, P. L., and Kelley, D. J. (1990), “Separate processes in the relation of elation and depression to helping: Social versus personal concerns”, Journal of Experimental Social Psychology, 26, 13–33.
Daft, R. L., and Lengel, R. H. (1986), “Organizational information requirements, media richness and structural design”, Management Science, 32(5), 554–571.
Day, G.S. (1970), Buyer attitudes and brand choice, New York: Free Press.
Dichter, E. (1966), “How word-of-mouth advertising works”, Harvard Business Review, November–December, 147–166.
Dommeyer, C. J., and Moriarty, E. (2000), “Comparing two forms of an e-mail survey: embedded vs. attached”, International Journal of Market Research, 42(1), 39–50.
Elsbach, K. D., and Barr, P. S. (1999), “The effects of mood on individuals’ use of structured decision protocols”, Organization Science, 10(2), 181–213.
Engel, J.F. Blackwell, R.D. & Miniard, P. (1992), Consumer behavior. Chicago: Dryden.
Flynn, L.R., Goldsmith, R.E. and Eastman, J.K. (1996), “Opinion leaders and opinion seekers: two new measurement scales”, Journal of the Academy of Marketing Science, 24(2), 137–147.
Fornell, C. and Larcker, D.F. (1981). “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error”, Journal of Marketing Research, 18 (February), 39–50.
Gardner, M. P. (1985), “Mood states and consumer behavior: A critical review”, Journal of Consumer Research, 12, 281–300.
Gilly, M. C., Graham, J. L., Wolfinbarger, M. F., and Yale, L. J. (1998), “A Dyadic Study of Interpersonal Information Search”, Journal of the Academy of Marketing Science, 26, 83–100.
Goldsmith, R.E. (2002), “Explaining and predicting consumer intention to purchase over the Internet: An exploratory study”, Journal of Marketing Theory and Practice, 10(4), 22–28.
Goldstein, M. D., and Strube, M. J. (1994), “Independence revisited: The relation between positive and negative affect in a naturalistic setting”, Personality and Social Psychology Bulletin, 20, 57–64.
Granitz, Neil A. and James C. Ward. (1996), “Virtual Community: A Sociocognitive Analysis”, Advances in Consumer Research, 23, 161–166.
Hagel III, J. & Armstrong, A. (1997), Net gain: Expanding markets through virtual communities. Boston: Harvard Business School Press.
Hennig-Thurau, T. Gwinner, K. P. Walsh, G. & 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), 38–52.
Hockey, G. R. J., Maule, J. A., Clough, P. J., and Bdzola, L. (2000), “Effects of negative mood states on risk in everyday decision making”, Cognition and Emotion, 14(6), 823–855.
Huang, M. H. (2001), “The theory of emotions in marketing”, Journal of Business Psychology, 16(2), 239–247.
Isen, A. M. (1984), “Toward understanding the role of affect in cognition”, In S. R. Wyer and T. K. Srull (Eds.), Handbook of social cognition (Vol. 3, pp. 179–236). Hillsdale, NJ: Erlbaum.
Jöreskong, K.G. & Sörbom, D. (1996), LISREL 8: Users’ reference guide. Chicago: Scientific Software International.
Kiecker, P. & Cowles, D. (2001), “Interpersonal communication and personal influence on the Internet: A framework for examining online word-of-mouth”, Journal of Euromarketing, 11(2), 71–88.
Kozinets, R.V. (1999), “E-tribalized marketing?: The strategic implications of virtual communities of consumption”, European Management Journal, 17(3), 252–264.
Kozinets, R.V. (2002), “The field behind the screen: Using netnography for marketing research in online communities”, Journal of Marketing Research, 39(February), 61–72.
Lantz, A. (1998), “Heavy users of electronic mail”, International Journal of Human-Computer Interaction, 10(4), 361–379.
Levit, B. (1995), “E-mail”, Human Resource Planning, 18, 43.
Major, A. M. (1993), “Environmental concern and situational communication theory: Implications for communicating with environmental public”, Journal of Public Relations Research, 5, 251–268.
Markus, M. L. (1994), “Electronic mail as the medium of managerial choice”, Organization Science, 5(4), 502–527.
Martin, B. A. S., Durme, J. V., Raulas, M., and Merisavo, M. (2003), “Email Advertising: Exploratory Insights from Finland”, Journal of Advertising Research, Sep., 293–300.
Muniz A.M. Jr. & O’Guinn, T.C. (2001), “Brand community”, Journal of Consumer Research, 27(4), 412–432.
Murray, K. B. (1991), “A Test of Services Marketing Theory: Consumer Information Acquisition Activities,” Journal of Marketing, 55(1), 10–25.
Ngwenyama, O. K., and Lee, A. S. (1997), “Communication richness in electronic mail: Critical social theory and the contextuality of meaning”, MIS Quarterly, June, 145–167.
Nyer, P. U. (1997), “A study of the relationships between cognitive appraisals and consumption emotions”, Journal of the Academy of Marketing Science, 25, 296–304.
Park, S. H., and Luo, Y. (2001), “Guanxi and organizational dynamics: Organizational networking in Chinese firms”, Strategic Management Journal, 22, 455-477.
Peterson, R.A. & Merino, M.C. (2003), “Consumer information search behavior and the Internet”, Psychology & Marketing, 20(2), 99–121.
Ramsey, R. P., and Sohi, R. S. (1997), “Listening to your customer: The impact of perceived salesperson listening behavior on relationship outcomes,” Journal of the Academy of Marketing Science, 25(2), 127–137.
Richins, M.L. & Root-Shaffer, T. (1988), “The role of involvement and opinion leadership in consumer word-of-mouth: An implicit model made explicit”, Advances in Consumer Research, 15, 32–36.
Rowley, F. (2001), “Remodelling marketing communications in an Internet environment”, Internet Research: Electronic Networking Applications and Policy, 11(3), 203-212.
Rowley, J. (2001), “Remodeling marketing communications in an Internet environment”, Internet Research, 11(3), 203–212.
Rudy, I. A. (1996), “A critical review of research on electronic mail”, Europe Journal of Information Systems, 4, 198–213.
Sanna, L. J. (1998), “Defensive pessimism and optimism: the bitter-sweet influence of mood on performance and prefactual and counterfactual thinking”, Cognition and Emotion, 12(5), 635–665.
Schindler, R.M. & Bickart, B. (2002), “Characteristics of online consumer comments valued for hedonic and utilitarian shopping tasks”, Advances in Consumer Research, 29, 428–429.
Schlosser, A.E. (2003), “Posting versus lurking: Cognitive tuning for one-to-multiple audiences communication”, Advances in Consumer Research, 30, 192.
Seta, C. E., Hayes, N. S., and Seta, J. J. (1994), “Mood, memory, and vigilance: The influence of distraction on recall and impression formation”, Personality and Social Psychology Bulletin, 20, 170–177.
Sproull, L. S. (1986), “Using electronic mail for data collection in organizational research”, Academy of Management Journal, 29(1), 159–169.
Stauss, B. (1997), “Global word of mouth: Service bashing on the Internet is a thorny issue”, Marketing Management, 6(3), 28–30.
Tajfel, H. & Turner, J.C. (1985), The social identity theory of group behavior. In Steven Worchel and William G. Austin (eds.), Psychology of intergroup relations. Chicago: Nelson-Hall.
Te’eni, D. (2001), “Review: A cognitive-affective model of organizational communication for designing IT”, MIS Quarterly, 25(2), 251-312.
Te’eni, D., Sagie, A., Schwartz, D.G., Hamburger, Y., and Zaidman, N. (2001), “The process of organizational communication: a model and field study”, IEEE Transactions on Professional Communications, 44(1), 6–20.
Ward, J. & Ostrom, A. (2002), “Motives for posting negative word of mouth communications on the Internet”, Advances in Consumer Research, 29, 429.
Williams, R.L. & Cothrel, J. (2000), “Four smart ways to run online communities”, Sloan Management Review, 1, 81–91.
Xin, K. R., and Pearce, J. L. (1996), “Guanxi: connections as substitutes for formal institutional support”, Academy of Management Journal, 39, 1641–1658.
Zaichkowsky, J.L. (1985), “Measuring the involvement construct”, Journal of Consumer Research, 12(3), 341–352.
Zhao, L., and Aram, J. D. (1995), “Networking and growth of young technology-intensive ventures in China”, Journal of Business Venturing, 10, 349–370.