臺灣博碩士論文加值系統

自古至今，口碑為人們傳遞訊息、蒐集資訊及交換意見的重要方式之一，隨著科技的發展，社會大眾在選擇或購買商品及服務時，網路口碑便逐漸成為其中一項參考來源，尤其當產品為難以衡量的虛擬商品如電影時，人們希望透過他人的評論來判斷此商品是否符合他們的期待。另外，網路口碑可分成許多不同層面去探討，本研究主要針對網路口碑來源（不認識的人、認識的人）以及口碑內容架構（具體、抽象）做2X2的組間設計來觀察何種形式的電影評論會最有效地影響消費者的觀賞意圖，利用網路問卷調查，透過SPSS 22之信度分析、獨立樣本Ｔ檢定、及迴歸分析等進行資料的分析及假說檢定。

研究結果顯示，對消費者觀看電影意圖最有效的電影評論組合為認識的人所說的具體評論，此外，電影主角的演技以及消費者對各電影類別的喜愛也對消費者本身觀賞電影的意圖有著正面的影響力。

Since a long time age, word-of-mouth has always been an important way for
people to exchange opinions and information. With the rising of the internet,
electronic word-of-mouth(eWOM) shows up and gradually replaces traditional wordof-mouth. People tend to search for others’ experiences and sharing online in order to help them make purchase decisions or at least have a better idea of what they are intended to buy, especially for virtual products or services. Therefore, in this study, we would like to know more about the influence of eWOM to people’s intention of watching movies. Here, we discuss two dimensions of the movie review, which are the source(stranger or acquaintance) and the content feature(concrete or abstract). To do the study, we used a 2 X 2 between-subject design and gave out internet questionnaires to the mass population who are 18 to 50 years old in Taiwan. By using statistical analysis software SPSS 22, we conducted Reliability Analysis, Descriptive Analysis, Independent-Sample T Test and Regression Analysis with a valid sample size of 313.
Our research results support our hypothesis that if the source is from an
acquaintance and the content feature is concrete, people will have the most intention to watch the movie. In addition, acting abilities of the cast and people’s preference of movie genre will also stronger the positive influence on it.

Chinese Abstract ·········································· i
English Abstract ·········································· ii
Acknowledgement ·········································· iii
Table of Contents ·········································· iv
List of Tables ·········································· vi
List of Figures ·········································· vii
I. Introduction ·································· 1
1.1 Research Motivation···························· 1
1.2 Research Objectives···························· 2
1.3 Research Process······························ 3
II. Literature Review······························ 4
2.1 Word-of-Mouth(WOM)··························· 4
2.2 Electronic Word-of-Mouth(eWOM)··················· 6
2.3 Comparison between WOM and eWOM··············· 8
2.4 Motivation of eWOM···························· 10
2.5 Source of eWOM······························ 10
2.6 Content Feature of eWOM························ 11
2.7 Cast and Acting Skill···························· 12
2.8 Movie Genre································· 14
2.9 Online Movie Review Platform····················· 18
2.10 eWOM and Movies·····························21
2.11 Watching Intention····························· 23
III. Research Design and Methodology··················25
3.1 Research Framework··························· 26
3.2 Research Hypotheses···························26
3.3 Methodology································· 28
3.4 Sample Design······························· 28
3.5 Questionnaire Design··························· 29
3.6 Pretest for the Content Feature of eWOM············· 33
IV. Research Results and Analysis·····················35
4.1 Introduction·································· 35
4.2 Reliability Analysis····························· 35
4.3 Descriptive Analysis···························· 36
4.4 Hypothesis Verification·························· 37
V. Conclusion and Discussion······················· 44
5.1 Conclusion·································· 44
5.2 Managerial Implications························· 45
5.3 Suggestions for Future Research·················· 46
5.4 Research Limitations··························· 47
REFERENCES ·········································· 49
Appendix 1 ·········································· 55
Appendix 2 ·········································· 57

1. Albert, S., “Movie stars and the distribution of financially successful films in the
motion picture industry.”, Journal of Cultural Economics, Vol.22, pp. 249-270,
1998
2. Ajzen, I., “The theory of planned behavior”, Organizational Behavior and Human
Decision Processes, Vol.50, pp. 179-211, 1991
3. Akehurst, G., “User generated content: the use of blogs for tourism organizations
and tourism consumers” Service Business, Vol.3, pp. 51-61, 2008
4. Anita, E., “The Power of Stars: Do Star Actors Drive the Success of Movies?”,
Journal of Marketing, Vol.71, pp. 102-120, 2007
5. Arndt, J., “Word of Mouth Advertising: A Review of the Literature”, New York:
Advertising Research Foundation, 1967
6. Bae, J. and Kim, B., “Is the Electronic Word of Mouth Effect Always Positive on
the Movie?”, Academy of Marketing Studies Journal, Vol.17, pp. 61-78, 2013
7. Bansal, H.S. and Peter A.V., “Word-of-Mouth Processes within a Services
Purchase Decision Context,” Journal of Service Research, Vol.3, No. 2, pp.
166-177, 2000
8. Basuroy, S., Chatterjee, S., and Ravid, S.A., “How critical are critical reviews?
The box office effects of film critics, star power, and budgets.” Journal of
Marketing, Vol.67, pp. 103-117, 2003
9. Bayus, B.L., “Word of Mouth: The Indirect Effects of Marketing Efforts,” Journal of
Advertising Research, Vol.25, No. 3, pp. 31-39, 1985
10. Bhattacherjee, “Acceptance of e-commerce services: the case of electronic
brokerages.”, Systems, Man and Cybernetics, Part A: Systems and Humans, Vol.
30, pp.411-420, 2000
11. Bickart, B., and Schindler, R.M., “Internet forums as influential sources of
consumer information.” Journal of Interactive Marketing, Vol.15, pp. 31-40, 2001
12. Bristor, J.M., “Enhanced Explanations of Word of Mouth Communications: The
Power of Relationships,” Research in Consumer Behavior, Vol.4, pp. 51-83, 1990
13. Brown, T.J., Barry, T.E., Dacin, P.A., and Gunst, R.F., “Spreading the word:
Investigating antecedents of consumers’ positive word-of-mouth intentions and
behaviors in a retailing context.” Journal of the Academy of Marketing Science,
Vol.33, pp. 123-138, 2005
14. Boush, D.M., and Kahle, L., “Evaluating negative information in online consumer
discussions: From qualitative analysis to signal detection.” Journal of Euro -
Marketing, Vol.11, pp. 89-105, 2001
15. Chen, Y., and Xie, J., “Online consumer review: word-of-mouth as a new element
of marketing communication mix.” Management Science, Vol.54, pp. 477–491,
2008
16. Chevalier, J. and Mayzlin, D., "The Effects of Word of Mouth on Sales: Online
Book Reviews," Journal of Marketing Research, Vol.43, pp. 345-354, 2006
17. Chintagunta, P., Gopinath, S., and Venkataraman, S., “ The Effects of Online
User Reviews on Movie Box Office Performance: Accounting for Sequential
Rollout and Aggregation Across Local Market,” Marketing Science, Vol.29, pp.
944-957, 2010
18. Derbaix, C., and Joelle V., “Inducing Word-of-Mouth by Eliciting Surprise- A Pilot
Investigation,” Journal of Economic Psychology, Vol.24, No. 1, pp. 99-116, 2003
19. De Vany, and Arthur, W. and David W., “Uncertainty in the movie industry: Does
star power reduce the terror of the box office?” J. Cultural Econom. Vol.23, pp.
285-318., 1999
20. Dholakia, R. and Sternthal, B., “Highly Credible Sources: Persuasive Facilitators
or Persuasive Liabilities?”, The Journal of Consumer Research, Vol3, pp.
223-232, 1977
21. Dichter, E., “How Word-of-Mouth Advertising Works,” Harvard Business Review,
Vol. 66, pp. 147-166., 1966
22. Dodds, W.B., and Monroe, K.B., and Grewal, D., “The effects of price, brand, and
store information on buyers’ product evaluations.” Journal of Marketing Research,
Vol.28, pp. 307-319., 1991
23. Elberse, A. and Eliashberg, J., “Demand and Supply Dynamics for Sequentially
Released Products in International Markets: The case of Motion Pictures,”
Marketing Science, Vol.22, pp. 329-54., 2003
24. Eliashberg, J. and Shugan, S.M., “Film critics: Influencers or predictors?” Journal
of Marketing, Vol.61, pp. 68–78. 1997
25. Eliashberg, Jehoshua, Jedid-Hah J., Mohanbir S., and Berend W., “Moviemod: An
Implementable Decision-Support System for Prerelease Market Evaluation of
Motion Pictures,” Marketing Science, Vol.19, pp. 226-43., 2000
26. Flanagin, A.J., & Metzger, M.J., “The perceived credibility of personal Web page
info as influenced by the sex of the source.” Computers in Human Behavior, Vol.
19, pp. 683-701., 2003
27. Ganesan, S., & Hess, R., “Dimensions and levels of trust: Implications for
commitment to a relationship.” Marketing Letters, Vol.8, pp. 439-448., 1997
28. Gelb, B.D. and Sundaram, S., “Adapting to word of mouse”, Business Horizons.
Greenwich, Vol. 45 No. 4, pp. 21-5., 2002
29. Gilly, M.C., Graham, J., Wolfinbarger, M., and Yale, L., “A dyadic study of
interpersonal information search.” Journal of the Academy of Marketing Sciences,
Vol.26, pp. 83-100., 1998
30. Gruen, T.W., Osmonbekov, T. and Czaplewski, A.J., “EWOM: the impact of
customer-to- customer online know-how exchange on customer value and
loyalty”, Journal of Business Research, Vol. 59 No. 4, pp. 449-56., 2006
31. Godes, D. and Mayzlin, D., “Using Online Conversations to Study Word-of- Mouth
Communication”, Marketing Science, Vol.23, No.4, pp. 545-560, 2004.
32. Harrison-Walker, L.J., “The Measurement of Word-of-Mouth Communication and
an Investigation of Service Quality and Consumer Commitment as Potential
Antecedents”, Journal of Service Research, Vol.4, No.1, pp. 60-75, 2001.
33. Hennig-Thurau, T. and Gwimmer, K.P. and Walsh, G. and Gremler, D.D.,
“Electronic word-of-mouth via consumer–opinion platforms: what motivates
consumers to articulate themselves on the internet?”, Journal of Interactive
Marketing, Vol.18, No.1, pp. 38-52, 2004.
34. Hoffman, D.L. and Novak, T.P., “Marketing in Hypermedia computer-mediated
Environments: Conceptual Foundations,” Journal of Marketing, Vol.60, pp. 50-68.,
1996
35. Holbrook and Morris, “Popular Appeal Versus Expert Judgment of Motion
Picture,” Journal of Consumer Research, Vol.26, pp.144-55., 1999
36. Hovland, C.I., Janis, I.L. and Kelly, H.H., “Communication and Persuasion New
Haven”, Communication Yale University Press, 1953
37. Jasmine A.L. Yeap, Joshua I. and Ramayah, T., “Determining consumers’ most
preferred eWOM platform for movie reviews: A fuzzy analytic hierarchy process
approach”, Computers in Human Behavior, Vol.31, pp. 250-258, 2014
38. Kamins, Michael A., "An Investigation into the Match-Up-Hypothesis in Celebrity
Advertising: When Beauty Be Only Skin Deep," Journal of Advertising, Vol.19, No.
1, pp.4-13., 1990
39. Katz, E. and Lazarsfeld, P.F., “Personal Influence: The Part Played by People in
the Flow of Mass Communications”, Glencoe, IL: Free Press, 1955
40. Kiecker, P., and Cowles, D., “Interpersonal communication and personal influence
on the Internet: A framework for examining online word-of-mouth.” Journal of
Euro-Marketing, Vol.11, pp. 71-88., 2001
41. Lee, J., Park, D.-H. and Han, I., “The effect of negative online consumer reviews
on product attitude: An information processing view.”, Electronic Commerce
Research and Application, Vol.7, pp. 341, 2008
42. Levin, A.M., Levin, I.P., and Health, C.E., “Movie stars and authors as brand
names: Measuring brand equity in experiential products.” Advances in Consumer
Research, Vol.24, pp.175–181., 1997
43. Pitman and Bruce, “Predicting Success of Theatrical Movies: An Empirical Study,”
Journal of Popular Culture, Vol.16, pp. 159-75., 1983
44. Litman, B. and Kohl, L., “Predicting financial success of motion pictures: The 80’s
experience”, Journal of Media Economics, Vol.2, pp. 35-50, 1989
45. Liu, Yong, “Word of Mouth for Movies: Dynamics and Impact on Box Office
Revenue,” Journal of Marketing, Vol.70, pp. 74-89., 2006
46. Li-Han Kao, Da-Bai Shen and Hui-Ru Zheng, “Exploratory Study for Determinants
of Motion Picture Box Office Performance in Taiwan”, Soochow Journal of
Economics and Business, No.82, pp. 59-92, 2013
47. Mangold, W.G., F. Miller, and G. R. Brockway, “Word-of-Mouth Communication in
the Service Marketplace,” The Journal of Services Marketing, Vol.13, pp.73-88.,
1999
48. McWilliam, Gil, “Building Stronger Brands through Online Communities”, Sloan
Management Review, 41(3), pp. 43-54, 2000
49. Mengxiang Li, Liqiang Huang, Chuan-Hoo Tan, and Kwok-Kee Wei. “Helpfulness
of Online Product Reviews as Seen by Consumers: Source and Content
Features”, International Journal of Electronic Commerce, Vol.17, No. 4, pp.
101-136, 2013
50. Mohammad Reza Jalilvand Neda Samiei., "The impact of electronic word of
mouth on a tourism destination choice ", Internet Research, Vol.22, pp. 591 - 612,
2012
51. Molinari, L.K., Abratt, R., and Dion, P., “Satisfaction, quality and value and effects
on repurchase and positive word-of-mouth behavioral intentions in a B2B service
context”, Journal of Services Marketing, Vol.22, pp. 363-373, 2008
52. Mudambi, S.M., and Schuff, D., “What makes a helpful online review? A study of
customer reviews on amazon.com.” MIS Quarterly, Vol.34, pp. 185–200., 2010
53. Pornpitakpan, C., “The persuasiveness of source credibility: A critical review of
five decades’ evidence.” Journal of Applied Social Psychology, Vol.34, pp.
243-281., 2004
54. Prag, J., & Casavant, J., “An empirical study of the determinants of revenues and
marketing expenditures in the motion picture industry.” Journal of Cultural
Economics, Vol.18, pp. 217–235., 1994
55. Richins, M. L., “Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot
Study”, Journal of Marketing, Vol.47, pp. 68-78, 1983.
56. Robert McKee, “Story: Substance, Structure, Style, and the Principles of
Screenwriting”, 1997
57. Roger D. Blackwell, Miniard, Engel, Pai, Norjaya and Wan Joordia, “Consumer
Behavior”, 2012
58. Rosen, Emanuel, “The Anatomy of Buzz - How to Create Word-of-mouth
Marketing”, 2000
59. Sen, S., and D. Lerman, “Why are you telling me this? An examination into
negative consumer reviews on the Web”, Journal of Interactive Marketing, Vol.21,
pp. 76–94., 2007
60. Singh, J. and S. Pandya, “Exploring the Effect of Consumers’ Dissatisfaction
Level on Complaint Behaviors,” European Journal of Marketing, Vol.25, pp. 7-21.,
1991
61. Smith, S.P., & Smith, V.K., “Successful movies: A preliminary empirical analysis.”,
Applied Economics, Vol.18, pp. 501–507., 1986
62. Sochay, S., “Predicting the performance of motion pictures”, Journal of Mesia
Economics, Vol.7, pp. 1-20, 1994
63. Sundara, D.S., Mitra, K., and Webster, C., “Word-of-Mouth Communications: A
Motivation Analysis.”, Advances in Consumer Research, Vol.25, pp. 527-531,
1998
64. T Hennig-Thurau, KP Gwinner, G Walsh and DD Gremler, “Electronic Word-of-
Mouth via Consumer-opinion Platforms: What Motivates Consumers to Articulate
Themselves on the Internet?”, Journal of Interactive Marketing, Vol.18, pp. 38-52,
2004
65. Wallace, W. Timothy, Alan Seigerman, and Morris B. Holbrook., “The role of
actors and actresses in the success of films: How much is a movie star worth?”
J. Cultural Economy, Vol.7, pp. 1-27, 1993
66. Wang, Zun-Zhi, “Influence on Expertise and Tie Strength on Purchase Decision in
Word-of-Mouth of Internet: An E-mail analysis”, National Taiwan University of
Science and Technology, Master degree thesis, 2004
67. Wenjing Duan, Bin Gu and Andrew B. Winston, “The dynamics of online word-ofmouth
and product sales—An empirical investigation of the movie industry”,
Journal of Retailing, Vol.84, pp. 233-242, 2008
68. Wilke, W.H., “An Experimental Comparison of the Speech, the Radio and the
Printed Page as Propaganda Devices.” Archives of Psychology, Vol.169., 1934
69. Wirtz, Jochen and Patricia Chew, “The Effects of Incentives, Deal Proneness,
Satisfaction and Tie Strength on Word-of-Mouth Behavior,” International Journal
of Service Industry Management, Vol. 13, No. 2, pp. 141-162., 2002
70. Xiaoquan Zhang and Chrysanthos Dellarocas, “The Lord Of The Ratings: Is A
Movie’s Fate is Influenced by Reviews?”, 27, ICIS, 2006
71. Xinxin Li, Lorin M. Hitt and Z. John Zhang, “Consumer Reviews and Competition
in Markets for Repeat Purchase Products”, Journal of Management Information
System, Vol.27, pp. 9-42, 2011