博碩士論文 104453021 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:42 、訪客IP:3.15.142.42
姓名 陳泓穎(Hung-Ying Chen)  查詢紙本館藏   畢業系所 資訊管理學系在職專班
論文名稱 消費者對網路口碑信任之研究-以婚禮相關行業為例
相關論文
★ 半導體二手設備之行銷策略-以應用材料公司為例★ 從創新擴散角度探討新科技技術行銷策略之影響 —以全球資訊大廠推廣Web Services為例
★ 企業多角化經營策略之研究 ─以某機構拓展資訊應用服務市場為例★ 汽車產業網站行銷之應用與效益探討研究-以N品牌為例
★ 系統整合業轉型策略之探討--以A公司為例★ 顧客關係管理系統導入之研究-以A、B公司為例
★ 策略聯盟個案分析 - 以台灣光碟機廠商為例★ 資訊教育訓練機構的轉型策略 —以某資訊教育機構為例
★ 組織文化及組織承諾對組織變革影響之研究- 以外商銀行與本國銀行資訊部門為例★ 高階資訊教育市場行銷策略與會員制度之研究-資訊教育產業為例
★ 探討平衡計分卡在售前技術支援部門績效管理的運用 - 以外商資訊科技公司為例★ 軟體行銷策略與競爭優勢分析-以全球二家資訊大廠為例
★ 綠色供應鏈管理研究-以A公司為例★ 企業專案管理系統 - 提升專案即時資訊透通性及其效益分析
★ 金融軟體專案管理導入國際專案管理師(PMP)專案管理機制之效益分析★ 企業轉型與其資源基礎之關係研究及轉型策略之發展-以M公司為例
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 消費者傳遞口碑的真正動機不是因為利益,而是人與人互動下的資訊價值。消費者會以推薦商品、對劣質產品發出警告、提出新的資訊、教育彼此、分享經驗等方式來發表口碑,這些行為都是在自然的情況下發生並且是自主性的。因此,當消費者接收到口碑時會認為這是真實的資訊而有信任感。另外,當消費者因為別人的分享而得到幫助時,也因為「回饋與模仿」,而有下次分享的動機。而婚禮行業可說是隨著台灣工業化及後工業化的進程所誕生的文化產業,加上近年來社群軟體的興起,舉行婚禮可說是新人自己與親朋好友間的人生大事,在購買婚禮相關產品時必定是慎重的考慮。本研究的目的以婚禮相關行業為範圍,探討網路口碑傳遞者、接收者的背景,以及中間會有何種因素影響對網路口碑的信任,進而產生是否購買的意圖。本研究深入探討消費者對網路口碑信任的原因,提供企業研擬行銷策略參考,針對婚禮屬一次性消費或服務產業,可以有更精準的銷售策略。並從中瞭解如何傳遞網路口碑才能達到精準投放的效果,打動目標客戶群的心。
本研究係將Bansal & Voyer (2000)的傳統口碑程序模型延伸至網際網路的背景之下,探討婚禮相關行業產品網路口碑的信任因素,包括:傳遞者的專業程度、接收者的專業程度、接收者網路口碑的搜尋程度、接收者的知覺風險,信賴網路的推薦程度對購買意圖的影響。
本研究以網際網路使用者為研究對象,並限制研究對象為結婚三年內或一年內準備結婚者,透過Google表單系統發放網路問卷,共回收240份問卷,有效問卷計233份。使用偏最小平方法(Partial Least Square, PLS)來分析結構模型,得到的實證結果如下:
1.網路口碑傳遞者的專業程度越高,則其傳遞的網路口碑資訊對於接收者網路口碑的信任程度影響會越大。
2.信賴網路的推薦程度越高,接收者對網路口碑的信任程度越高。
3.接收者的網路口碑搜尋程度越大,則對網路口碑的信任程度越高。
4.接收者的知覺風險越大,其網路口碑搜尋程度則越大。
摘要(英)
Nowadays, electronic word-of-mouth (eWOM) is one of the most appropriate and applicable way to advertise. Consumer receives eWOM from official websites, bulletin board system (BBS), Facebook and everywhere on the internet. Trust of eWOM is affected by numerous factors which resulted different reactions. The market size of wedding related industry is about 100 billion NT in 2009. This research reviewed related literature in order to discuss what is the reason that consumer trust the eWOM of wedding products. And expected the conclusions can provide the recommendation of sale strategy for the wedding industry.
This research is based on the structure of Bansal & Voyer (2000), and the main purpose is to explore the impact of eWOM on consumer trust through the traditional word of mouth program, including three independent variables, "communicator′s professional level ", " receiver′s professional level "and" trustworthy network recommendation level "; two mediator variables, "search level of eWOM" and "receiver′s perceived risk"; and the dependent variable" receiver′s trust level and purchase intention of eWOM".
This research was conducted by internet users who had married for three years or will marry in one year. A total of 240 questionnaires and 233 valid questionnaires were collected by the Google Forms system. The structural model is analyzed by Partial Least Square (PLS), and the empirical results as follows:
1. Communicator′s professional level has a positive relationship with receiver′s trust level.
2. Trustworthy network recommendation level has a positive relationship with receiver′s trust level.
3. Search level of eWOM has a positive relationship with receiver′s trust level.
4. Receiver′s perceived risk has a positive relationship with the search level of eWOM.
關鍵字(中) ★ 網路口碑
★ 婚禮行業
★ 資訊搜尋
★ 知覺風險
★ 購買意圖
關鍵字(英) ★ eWOM
★ Wedding Industry
★ Information Search
★ Perceived Risk
★ Purchase Intention
論文目次 摘要 i
Abstract iii
誌謝 iv
目錄 v
圖目錄 vi
表目錄 vii
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究目的 3
第二章 文獻探討 4
第一節 網路口碑 4
第二節 資訊搜尋 10
第三節 知覺風險 15
第四節 口碑信任與購買意圖 17
第五節 婚禮相關行業 18
第三章 研究架構與方法 22
第一節 研究架構 22
第二節 研究假說 23
第三節 變數定義與衡量 25
第四節 研究設計 29
第五節 研究前測 31
第四章 資料分析與結果 38
第一節 樣本結構分析 38
第二節 信效度分析 41
第三節 結構方程模型分析與假說檢定 46
第五章 結論與建議 50
第一節 研究結論 50
第二節 管理意涵 52
第三節 研究限制與未來建議 54
參考文獻 57
附錄、研究問卷 65
參考文獻 【英文文獻】
1. Ahluwalia, R. & Gurhan-Canli, Z.(2000), “The Effects of Extensions onthe Family Brand Name : An Accessibility-Diagnosticity”, Journal ofConsumer Research, 27, pp. 371-381.
2. Alba J., John L., Barton W., Chris J., Richard L., Alan S. and Stacy W., (1997). Interactive home shopping : Consumer , Retailer, and manufacturer incentives to participate in electronic marketplaces , Journal of Marketing, 61, July, 38-53.
3. Alba, J. W. & Hutchinson, J. W.(1987), ”Dimensions of ConsumerExpertise”, Journal of Consumer Research, 13, pp. 411-454.3. Anderson, Eugene W.(1998), ”Customer Satisfaction and Word ofMouth”, Journal of service Research, Vol. 1(August), pp.5-17.
4. Anderson, Eugene W. (1998). “Customer Satisfaction and Word of Mouth.” Journal of Service Research, Vol. 1 (August) , pp. 5-17.
5. Arndt, Johan A.(1967), “Role of Product-Related Conversations in the Diffusion of a New Product”, Journal of Marketing Research, Vol.4, August, pp.291-295.
6. Arndt, Johan(1968), “Selective Process in Word- of Mouth”, Journal of Advertising Research, Vol. 8, pp. 19-22.
7. Assael, Henry(1995), Consumer Behavior and Marketing Action, 5th, Internation, homson Publishin, p186, pp.341-345.
8. Baird, I. S. and Thomas, H. (1985), “Toward a contingency model of strategic risk taking,” Academy of Management Review, Vol. 10, No. 2, pp. 230-243.
9. Baron, R. M., & Kenny, D. A. (1986), “The moderator-mediator variable distinction in social psychological research: Concepual, strategic, and statistical considerations”, Journal of Personality and Social Psychology, 51(6), pp.1173-1182.
10. Bansol, Harvir S., Peter A.vVoyer(2000), “Word-of-Mouth Process Within a Service Purchase Decision Context”, Journal of Sercive Research, Vol. 3, No., 2, pp.166-177.
11. Batra, R., Sinha, I., (1999). “The effect of consumer price consciousness on private label purchase,” International Journal of Research in Marketing, 16(3): 237-251.
12. Bearden, W. O., & Etzel, M. J. (1982). Reference group influence on product and brand purchase decisions. Journal of Consumer Research, 9, 183-194.
13. Beatty, S. & Smith, S. (1987), “External Search Sffort: An Investigation Across Several Product Categories,” Journal of Consumer Research, Vol.14 (June), pp.411-454.
14. Bettman, J.R. (1979), “An Information Processing Theory of Consumer Choice, reading”, MA: Addison-Wesley.
15. Bickart, B., & Schindler, R. M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31–40.
16. Blackwell, Roger D., Paul W. Miniard and James F. Engel, (2001), Consumer Behavior, Ninth Edition, Publisher: Ohio, Mike Roche.
17. Bloch, P.H. & M.L. Richins,(1982), “A theoretical model for the study of product importance perception”, Journal of Consumer Research, Vol. 47, pp. 69-81.
18. Briggs, R., N. Hollis(1997),"Advertising on the Web:Is There Response before Click-Through?", Journal of Advertising Research, March/April, pp.33-45.
19. Cheung, M.S., M. M. Anitsal and I.Anitsal (2007), “Revisiting Word of Mouth Communications: A Cross-National Exploration,”Journal of Marketing Theory and Practice, 15(3), pp. 235-249.
20. Cunningham, S. M.(1967), “The Major Dimensions of Perceived Risk, in D. F. Cox ed., Risk-Taking and Information-Handle in Consumer Behavior”, Boston: Harvard University Press, pp.82-108.
21. Costley, C. L., & Brucks, M. (1992), “Selective Recall and Information Use in Consumer Preferences”, Journal of Consumer Research, 18, pp. 464–474.
22. Cox, D.F.(1967), “Risk Taking and Information Handing in Consumer Behavior,” In D. F. Cox(Ed.), Boston: Harvard University Press, pp.1-19.
23. Crane, F. G., & Lynch, J. E. (1988), “Consumer selection of physician and dentist: a examination of choice criteria and cue usage”, Journal of Health Care Marketing, 8(3), pp. 16-19.
24. Dholakia, R. R. and B. Sternthal (1977), “Highly Credible Sources: Persuasive Facilitators or Persuasive Liabilities?”, Journal of Consumer Research, 3(4), pp. 223-232.
25. Donnavieve Smith, Satya Menon, and K. Sivakumar (2005), “Online Peer and Editorial Recommendations, Trust, and Choice in Virtual Markets,” Journal of Interactive Marketing.
26. Dowling, G. R., & Staelin, R. (1994), “A model of perceived risk and intended risk-handling activity”, Journal of Consumer Research, 21(1), pp.119-134.
27. Ducoffe, H. R., “Advertising Value and Advertising on the Web”, Journal of Advertising Research, Vol. 36, No. 5, 1996, pp. 21-35.
28. East, R. and Hammond, K. (2005), “The Impact of Positive and Negative Word of Mouth on Brand Choice”, Paper presented at the 2005 Australian and New Zealand Marketing Academy (ANZMAC) Conference.
29. Fornell, C. R. & Larcker, F. F. (1981), “Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research, 18, pp.39-51.
30. Friestad, M., & Wright, P. (1994), “The persuasion knowledge model: How people cope with persuasion attempts”, Journal of Consumer Research, 21(1), pp. 1-31.
31. Garretson, J. A., & Clow, K. E. (1999), “The influence of coupon face value on service quality expectation, risk perceptions and purchase intentions in the dental industry”, The Journal of Service Marketing, 13(1), pp. 59-70.
32. Gefen D, Straub DW (2004), Consumer trust in B2C e-Commerce and the importance of social presence experiments in e-Products and e-Services, Omega
33. Gelb, B. D., & Sundaram, S. (2002), “Adapting to word of mouse”, Business Horizons, 45(4), pp.21-25.
34. Haubl, G., & Murray, K. B. (2003), “Preference construction and persistence in digital marketplaces: The role of electronic recommendation agents”, Journal of Consumer Psychology, 13(1), pp. 75-91.
35. Häubl , G. & Trifts, V. (2000), “Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids”, Marketing, Vol. 19, No.1, pp.4-21.
36. 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), pp.38-52.
37. Herr, P.M., Kardes, F.R., & Kim, J. (1991). “Effects of word-of-mouth and product-attribute information on persuasion: An accessibility-diagnosticity perspective”, Journal of Consumer Research, 17(4), pp.454-462.
38. Hoque, A.Y. and Louse G.L(1999), “An Information Search Cost Perspective for Designing Interface for Electronic Commerce”, Journal of Marketing Research, pp.387-394.
39. Hugstand, P., James W. T. & Grand D. B.(1987), “The Effects of Social Risk on Consumer Information Search”, Journal of Service Marketing, vol.1, pp. 47-52.
40. Jacoby, J. & L. Kaplan(1972), “The components of perceived risk”, Proceedings of 3ed Annual Conference, Association for Consumer Research, pp382-393
41. John Fong, Suzan Burton (2006), “Online Word-of-mouth: a Comparison of American and Chinese Discussion Boards”, Asia Pacific Journal of Marketing and Logistics, 18(2), pp.146 -156.
42. Kiel, Geoffrey C. and Roger A. Layton (1981), “Dimensions of Consumer Information Seeking Behavior”, Journal of Marketing Research, 18(May), pp. 233-239.
43. Kozinets, R. V. 1999, “E-tribalized Marketing? The Strategic Implications of Virtual Communities of Consumption”, European Management Journal, 17 (3), pp. 252-64.
44. Kuan, H. and Bock, G. (2007), “Trust transference in brick and click retailers: an investigation of the before-online-visit phase”, Information & Management, Vol. 44, No. 2, pp. 175-187.
45. Lynch, J. G., & Srull, T. K. (1982), “Memory and attentional factors in consumer choice: Concepts and research methods”, Journal of Consumer Research, 9, pp. 18–37.
46. Mattila, Anna S. and Jochen Wirtz(2002), “The Impact of Knowledge Types on the Consumer Search Process- An Investigation in the Context of Credence Services”, International Journal of Service Industry Management, 13 (3-4), pp. 214-230.
47. McGaughey, R. E., & Mason, K. H. (1998), “The Internet as A marketing tool”, Journal of Marketing Theory and trance of information technologies: An examination of health care professionals. Proceedings of the 32nd Practice, 6 (3), pp. 1-11.
48. Murray, K. B. and Schlacter, J. L.(1990), “The Impact of Services versus Goods on Consumers’ Assessment of Perceived Risk and Variability, Academy of Marketing Science”, Journal, Vol. 18, No. 1, pp. 51-65.
49. Nelson, M. R., & Otnes, C. C. (2005), “Exploring cross-cultural ambivalence: a netnography of intercultural wedding message boards”, Journal of Business Research, 58(1), pp. 89-95.
50. Netemeyer, r. G. & Bearden, W. O., “A Comparative Analysis of Two Models of Behavioral Intention”, Journal of Academy of Marketing, 1992, Vol. 20, No. 1, pp. 49-59.
51. Park, C. W. and V. P. Lessig (1981), “Familiarity and Its Impac t on Consumer Decision Biases and Heuistics”, Journal of Consumer Research, 8 (Sep), pp.223-230.
52. Peterson, R. A. & Merino, M. C. (2003), “Consumer Information Search Behavior and the Internet”, Psychology and Marketing, 20(20), pp. 99–121.
53. Rao, A. R. and K. B. Monroe(1988), “The Moderating Effect of Prior Knowledge on Cue Utilization in Product Evaluations”, Journal of Consumer Research, Vol. 15, pp. 53-264.
54. Ridings, C.M., Gefen, D., and Arinze, B.(2002), “Some antecedents and effects of trust in virtual communities”, Journal of Strategic Information Systems (11:3-4), pp.271-295.
55. Schmidt, J. B and Spreng, R. A.(1996), “A Proposed Model of External Consumer Information Search”, Journal Greenvale(24:3), pp.246-256.
56. Srinivasan, N. and B. T. Ratchford(1991), An Empirical Test of a Model of External Search for Automobiles, Journal of Consumer Research, 18 (Sep), pp.233-242.
57. Stone, R. N. and Gronhaug, K.(1993), “Perceived risk: Further considerations for the marketing discipline”, European Journal of Marketing, Vol. 27, No. 3, pp.39-50.
58. Subramani, M. R. & Rajagopalan, B. (2003), “Knowledge-Sharing and Influence in Online Social Networks via Viral Marketing”, Communications of the ACM, 46(12), pp. 300-307.
59. Wathen, C. N., & Burkell, J. (2002). “Believe it or not: Factors influencing credibility on the Web”, Journal of the American Society for Information Science and Technology, 53(2), pp. 134-144.
【中文文獻】
1.王遵智(2004),網路口碑中個人專業與關係強度對購買決策的影響—以電子郵件為例,臺灣科技大學企業管理系碩士論文。
2.汪志堅(1999),產品知識、搜尋價值對網際網路資訊搜尋量影響之研究,中興大學企業管理研究所博士論文。
3.金聖輝(1992),服務的知覺風險與資訊蒐尋策略間關係之研究,中原大學企業管理研究所碩士論文。
4.林彥宏(2005),網路口碑對消費者購買決策影響之探討,中央大學企業管理學研究所碩士論文。
5.許順旺(2007),觀光旅館及大型餐飲市場現況及未來發展之趨勢,餐旅暨家政學 刊,(4)3,p.243-267。
6.陳怡婷(2008),品牌形象、網路口碑與價格折扣對消費者購買意願的影響—以行動電話產品為例,國立臺北大學企業管理學系碩士論文。
7.黃麗霞、張重昭(2003),訊息來源、正面訊息與市場行家特質對網路訊息傳播之影響,電子商務研究第1卷,第1期,p.25-40。
8.黃意安(2008),線上口碑推薦者之特徵與性別對訊息接收者之影響,中央大學資訊管理學研究所碩士論文。
9.費翠(2001),網路市場行家理論驗證與延伸—其網路資訊搜尋、口碑傳播、線上購物行為及個人特質研究,政治大學廣告研究所碩士論文。
10.游景復(2015),網路水平信任之信任因子調查,大同大學工業設計所碩士論文。
11.鍾佑德(1999),網站特性對網路購物知覺風險、資訊搜尋策略影響之研究,中央大學企業管理研究所碩士論文。
12.鄭傑仁(2008),臺灣喜餅禮盒之包裝設計研究-以郭元益為例,大同大學工業設計研究所碩士論文。
13.陳曉鷗(2006),以婚紗產業為例探討文化創意事業產業化關鍵成功因素,中山大學企業管理研究所碩士論文。
14.李玉瑛(2004),裝扮新娘-當代台灣婚紗業的興起與發展,《逢甲人文社會學報》8: 183 – 217。
15.彭西鄉(2009),以方法目的鏈探討蜜月旅行之價值內涵,嶺東科技大學高階主管企業管理研究所碩士論文。
指導教授 李小梅 審核日期 2017-7-7
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明