$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

[국내논문] 부정적 eWOM에 대한 이해 : 사회적 연대와 핵심 요인
Understanding Negative Electronic Word-of-Mouth(eWOM) : Social Ties and Key Determinants 원문보기

經營 科學 = Korean management science review, v.28 no.3, 2011년, pp.95 - 112  

송석우 () ,  선종학 (전북대학교 경영학부)

Abstract AI-Helper 아이콘AI-Helper

The Internet has generated a number of online review sites where dissatisfied consumers can easily articulate their opinions and comments on products or services. Little attention, however, has been directed to investigating the relationship between negative electronic word-of-mouth (eWOM) and its c...

Keyword

AI 본문요약
AI-Helper 아이콘 AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

  • In this study, we set out to investigate the casual relationship between intention to spread eWOM and its key determinants, as well as the mediating effect of perceived risk on the relationship. As hypothesized, we find that tie strength on the Internet is positively associated with three key determinants of eWOM:information credibility, external search efforts, and product involvement.
  • The results of this study do not, however, seem to be contaminated by the single source bias, as indicated earlier in the results of the common method bias test. Finally, this study focuses on the relationship between intention to spread eWOM and its key determinants. While the findings from this study provide insightful guidelines, further investigation of how the other underlying factors in the online context influence the consumers’ WOM behaviors may be beneficial.

가설 설정

  • According to the strength of weak ties theory [28], weak ties play a crucial role in explaining a wide range of social phenomena [9]. In the proposed model, we consider tie strength as the level of intensity of the virtual relationship between consumers.
  • Thus, we hypothesize that tie strength on the Internet has a significant impact on the consumer’s perceived credibility of the negative eWOM information.
  • H1a:A consumer’s tie strength on the Internet is positively associated with information credibility on negative eWOM.
  • H1b:A consumer’s tie strength on the Internet is positively associated with his/her external search efforts.
  • H1c:A consumer’s tie strength on the Internet is positively associated with his/her product involvement.
  • H2:A consumer’s perceived credibility on negative eWOM is positively associated with his/her intention to spread eWOM.
  • H3:A consumer’s external search efforts on the Internet are positively associated with his/her intention to spread eWOM.
  • H4:A consumer’s perceived product involvement is positively associated with his/her intention to spread eWOM.
  • H5a:A consumer’s perceived credibility on negative eWOM is positively associated with his/her intention to spread eWOM, with his/her perceived risk mediating the relationship.
  • H5b:A consumer’s external search efforts on the Internet are positively associated with his/her intention to spread eWOM, with his/her perceived risk mediating the relationship.
  • H5c:A consumer’s perceived product involvement is positively associated with his/her intention to spread eWOM, with his/her perceived risk mediating the relationship.
본문요약 정보가 도움이 되었나요?

참고문헌 (85)

  1. Arbuckle, JL. Amos 7 User's Guide. Chicago, IL:Smallwaters, 2006. 

  2. Bagozzi, R.P. and Y. Yi, "On the evaluation of structural equation models," Journal of the Academy of Marketing Science, Vol.16, No.1(1988), pp.74-94. 

  3. Bansal, H.S. and P.A. Voyers, "Word-ofmouth processes within a service purchase decision context," Journal of Service Research, Vol.3, No.2, pp.166-177. 

  4. Baron, R.M. and D.A. Kenny, "The moderator- mediator variable distinction in social psychological research:conceptual, strategic and statistical consideration," Journal of Personality and Social Psychology, Vol. 51, No.6(1986), pp.1173-1182. 

  5. Beatty, S.E. and S.M. Smith, "External search effort:An investigation across several product categories," Journal of Consumer Research, Vol.14(1987), pp.83-95. 

  6. Bhatnagar, A. and S. Ghose, "Online information search termination patterns across product categories and consumer demographics," Journal of Retailing, Vol.80(2004), pp.221-228 

  7. Bickart, B. and R.M. Schindler, "Internet forums as influential sources of consumer information, Journal of Interactive Marketing, Vol.15, No.3(2001), pp.31-40. 

  8. Bone, P.F., "Determinants of word-ofmouth communications during consumption," Advances in Consumer Research, Vol.19(1992), pp.579-583. 

  9. Brown, J.J. and P.H. Reingen, "Social ties and word-of-mouth referral behavior," Journal of Consumer Research, Vol.14(1987), pp.350-362. 

  10. Brown, J., A.J. Broderick, and N. Lee, "Word of mouth communication within online communities:Conceptualizing the online social network," Journal of Interactive Marketing, Vol.21, No.3(2007), pp.2-20. 

  11. Cheung, M.Y., C. Luo, C.L. Sia, and H. Chen, "Credibility of electronic word-ofmouth: informational and normative determinants of on-line consumer recommendations," International journal of electronic commerce, Vol.13, No.4(2009), pp.9-38. 

  12. Darley, W.K. and R.E. Smith, "Advertising claim objectivity:antecedents and effects," Journal of Marketing, Vol.57(1993), pp.100-113. 

  13. de Bruyn, A. and G.L. Lilien, "A multistage model of word-of-mouth influence through viral marketing," International Journal of Research in Marketing, Vol.25, No.3(2008), pp.151-163 

  14. de Matos, C.A. and C.A.V. Rossi, "Word of mouth communications in marketing:a meta-analytic review of the antecedents and moderators," Journal of the Academy of Marketing Science, Vol.36, No.4(2008), pp.578-596. 

  15. de Valck, K., G.H. van Bruggen, and B. Wierenga, "Virtual communities:A marketing perspective," Decision Support Systems, Vol.47, No.3(2009), pp.185-203. 

  16. Dellarocas, C., "Strategic manipulation of Internet opinion forums:Implications for consumers and firms," Management Science, Vol.52, No.10(2006), pp.1577-1593. 

  17. Dholakia, U.M., "A motivational process model of product involvement and consumer risk perception," European Journal of Marketing, Vol.35(2001), pp.1340-1362 

  18. Dholakia, U.M., "An investigation of the relationship between perceived risk and product involvement," Advances in Consumer Research, Vol.14(1997), pp.159-167. 

  19. Dowling, G. and R. Staelin, "A model of perceived risk and intended risk-handling activity," Journal of Consumer Research, Vol.21(1994), pp.119-134. 

  20. Dowling, G.R., "Perceived risk:the concept and its measurement," Psychology and Marketing, Vol.3(1986), pp.193-210. 

  21. Duhan, D.F., S.D. Johnson, J.B. Wilcox, and G.D. Harrell, "Influences on consumer use of word-of-mouth recommendation sources," Journal of the Academy of Marketing Science, Vol.25, No.4(1997), pp.283-295. 

  22. Fogg, B. and H. Tseng, "The elements of computer credibility," In Proceedings of CHI1999 (Pittsburgh, May 15-20), ACM Press, New York, (1999), pp.80-87. 

  23. Fornell, C. and D. Larcker, "Evaluating structural equation models with unobservable variables and measurement error," Journal of Marketing Research, Vol.18 (1981), pp.39-50. 

  24. Frewer, L.J., J. Scholderer, and L. Bredahl, "Communicating about the risks and benefits of genetically modified foods:The mediating role of trust," Risk Analysis, Vol. 23, No.6(2003), pp.1117-1133 

  25. Gilly, M.C., J.L. Graham, M.F. Wolfin barger, and L.J. Yale, "A dyadic study of personal information search," Journal of the Academy of Marketing Science, Vol.26, No.2(1998), pp.83-100. 

  26. Goldsmith, R. and D. Horowitz, "Measuring motivations for online opinion seeking," Journal of Interactive Advertising, Vol.6, No.2(2006), pp.1-16. 

  27. Gotlieb, J.B. and J. Swan, "An investigation of the effects of price, source credibility and product experience on attitudes:An application of the elaboration likelihood model," Journal of the Academy of Marketing Science, Vol.18(1990), pp.221-228. 

  28. Granovetter, M., "The strength of weak ties," American Journal of Sociology, Vol. 78(1973), pp.1360-1379. 

  29. Grewal, D., J. Gotlieb, and H. Marmorstein, "The moderating effects of message framing and source credibility on the priceperceived risk relationship," Journal of Consumer Research, Vol.21, No.1(1994), pp. 145-153. 

  30. Gruen, T.W., T. Osmonbekov, and A.J. Czaplewski, "eWOM:The impact of customer- tocustomer online know-how exchange on customer value and loyalty," Journal of Business Research, Vol.59(2006),pp.449-456. 

  31. Gupta, P. and J. Harris, "How e-WOM recommendations influence product consideration and quality of choice:A motivation to process information perspective," Journal of Business Research, doi:10.10 16/j.jbusres.2009.01.015, 2009. 

  32. Hair, J.F., R.E. Anderson, R.L. Tatham, and W.C. Black, Multivariate Data Analysis with Readings (4th ed.), Englewood Cliffs, NJ:Prentice Hall, 1995. 

  33. Haythornthwaite, C. and B. Wellman, "Work, friendship and media use for information exchange in a networked organization," Journal of the American Society for Information Science, Vol.49, No.12(1998), pp. 1101-1114. 

  34. Haywood, K.M., "Managing word of mouth communications," Journal of Services Marketing, Vol.3(1989), pp.55-65. 

  35. Hennig-Thurau, T. and G. Walsh, "Electronic word-of-mouth:motives for and consequences of reading customer articulations on the internet," International Journal of Electronic Commerce, Vol.8(2003), pp.51-74. 

  36. Hennig-Thurau, T., K.P. Gwinner, G. Walsh, and D.D. Gremler, "Electronic word-ofmouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet?," Journal of Interactive Marketing, Vol.18, No.1(2004), pp.38-52. 

  37. Jain, S.P. and S.S. Posavac, "Prepurchase attribute verifiability, source credibility, and persuasion," Journal of Consumer Psychology, Vol.11, No.3(2001), pp.169-180. 

  38. Jarvenpaa, S.L. and J. Tractinsky, "Consumer trust in an Internet store:A crosscultural validation," Journal of Computer Mediated Communication, Vol.5, No.2(1999), pp.1-33. 

  39. Koufaris, M., "Applying the technology acceptance model and flow theory to online consumer behavior," Information Systems Research, Vol.13, No.2(2002), pp.205-223. 

  40. Kumar, N. and I. Benbasat, "The influence of recommendations and consumer reviews on evaluations of websites," Information Systems Research, Vol.17, No.4(2006), pp. 425-429. 

  41. Laczniak, R.N., T.E. DeCarlo, and S.N. Ramaswami, "Consumers' responses to negative word-of-mouth communication:An attribution theory perspective," Journal of Consumer Psychology, Vol.11, No.1(2001), pp.57-73. 

  42. Lee, J., D. Park, and I. Han, "The effect of negative online consumer reviews on product attitude:An information processing view," Electronic Commerce Research and Applications, Vol.7(2008), pp.341-352. 

  43. Lim, B.C. and C.M.Y. Chung, "The impact of word-of-mouth communication on attribute evaluation," Journal of Business Research, doi:10.1016/j.jbusres.2009.09.014, 2009. 

  44. Maheswaran, D. and J. Myers-Levy, "The influence of message framing and issue involvement," Journal of Marketing Research, Vol.27(1990), pp.361-367. 

  45. Martenson, R., "Success in complex decision contexts:The impact of consumer knowledge, involvement, and risk willingness on return on investments in mutual funds and stocks. International Review on Retail," Distribution and Consumer Research, Vol.15(2005), pp.449-469. 

  46. Mathwick, C. and E. Rigdon, "Play, flow, and the online search experience," Journal of Consumer Research, Vol.31, No.2(2003), pp.324-332. 

  47. Maxham, J.G. III. and R.G. Netemeyer, "Firms reap what they sow:The effects of shared values and perceived organizational justice on customer evaluations of complaint handling," Journal of Marketing, Vol.67, No.1(2003), pp.46-62. 

  48. Middleberg, D., "How to avoid a cybercrisis," Public Relations Tactics, Vol.3(1996), pp.1-2. 

  49. Mitchell, V.W. and P. Boustani, "A preliminary investigation into pre- and postpurchase risk perception," European Journal of Marketing, Vol.28, No.1(1994), pp. 56-71. 

  50. Mitchell, V.W., "Consumer perceived risk: Conceptualisations and models," European Journal of Marketing, Vol.33, No.1/2(1999), pp.163-195. 

  51. Mizerski, R.W., "An attribution explanation of the disproportionate influence of unfavorable information," Journal of Consumer Research, Vol.9, No.3(1982), pp.301-310 

  52. Moe, W.W., "Buying, searching, or browsing: Differentiating between online shoppers using in-store navigational clickstream data," Journal of Consumer Psychology, Vol.13, No.1/2(2003), pp.29-39. 

  53. Molesworth, M. and J.P. Suortti, "Buying cars online:the adoption of the web for high-involvement, high-cost purchases," Journal of Consumer Behavior, Vol.2, No.2 (2002), pp.155-168. 

  54. Murray, K.B. and J.L. Schlacter, "The impact of services versus goods on consumers' assessment of perceived risk and variability," Journal of the Academy of Marketing Science, Vol.18, No.1(1990), pp.51- 65. 

  55. Novak, T.P., D.L. Hoffman, and Y. Yung, "Measuring the customer experience in online environments:A structural modeling approach," Marketing Science, Vol.19, No.1(2000), pp.22-42. 

  56. O'Cass, A. and A. Pecotich, "The dynamics of voter behaviour and influence processes in electoral markets:a consumer behaviour perspective," Journal of Business Research, Vol.58(2005), pp.406-414. 

  57. Okleshen, C. and S. Grossbart, "Usenet groups, virtual community and consumer behaviors," Advances in Consumer Research, Vol.25(1998), pp.276-282. 

  58. Park, C. and Lee, "Information direction, website reputation and eWOM effect:A moderating role of product type," Journal of Business Research, Vol.62(2009), pp. 61-67. 

  59. Park, D.H., J. Lee, and J. Han, "The effect of online consumer reviews on consumer purchasing intention:The moderating role of involvement," International Journal of Electronic Commerce, Vol.11, No.4(2007), pp.125-148. 

  60. Park, J., S.J. Lennon, and L. Stoel, "On-line product presentation:Effects on mood, perceived risk, and purchase intention," Psychology and Marketing, Vol.22, No.9 (2005), pp.695-719. 

  61. Petty, R.E. and JT. Cacioppo, "Communication and Persuasion:Central and Peripheral Routes to Attitude Change," New York:Spinger-Verlag. 1986. 

  62. Podsakoff, S., B. MacKenzie, J.Y. Lee, and N.P. Podsakoff, "Common method biases in behavioral research:A critical review of the literature and recommended remedies," Journal of Applied Psychology, Vol.88, No.5(2003), pp.879-903. 

  63. Pornpitakpan, C., "The persuasiveness of source credibility:A critical review of five decades' evidence," Journal of Applied Social Psychology, Vol.34, No.2(2004), pp.243- 281. 

  64. Reagans, R. and B. McEvily, "Network structure and knowledge transfer:the effects of cohesion and range," Administrative Science Quarterly, Vol.48(2003), pp. 240-267. 

  65. Richins, M.L. and P.H. Bloch, "After the new wears off:The temporal context of product involvement," Journal of Consumer Research, Vol.13(1986), pp.281-285. 

  66. Richins, M.L., "Negative word-of-mouth by dissatisfied consumers:a pilot study," Journal of Marketing, Vol.47(1983), pp.68- 78. 

  67. Richins, M.L., "Word of mouth communication as negative information," Advances in Consumer Research, Vol.11(1984), pp. 697-702. 

  68. Rieh, S.Y. and D. Danielson, "Credibility: "A multidisciplinary framework. In B. Cronin (Ed.). Annual review of information science and technology," Medford, NJ: Information Today, Vol.41(2007), pp.307- 364. 

  69. Ross, W.T. and T.S. Robertson, "Information processing and innovative choice," Marketing Letters, Vol.2(1990), pp.87-97. 

  70. Scott, S.G. and R.A. Bruce, "Determinants of innovative behavior:A path model of individual innovation in the workplace," Academy of Management Journal, Vol.37, No.3(1994), pp.580-607. 

  71. Senecal, S. and J. Nantel, "The influence of online product recommendations on consumers' online choices," Journal of Retailing, Vol.80, No.2(2004), pp.159-169. 

  72. Shang, R., Y. Chen, and H. Liao, "The value of participation in virtual consumer communities on brand loyalty," Internet Research, Vol.16(2006), p.398. 

  73. Smith, R.K. and AJ. Bush, "Using the incomplete information framework to develop service-provider communication guidelines," Journal of Services Marketing, Vol.16, No.6(2002), pp.535-552. 

  74. Sohn, D., "Disentangling the Effects of Social Network Density on Electronic Wordof- Mouth (eWOM) Intention," Journal of computer-mediated communication, Vol.14, No.2(2009), pp.352-367. 

  75. Steffes, E.M. and L.E. Burgee, "Social ties and online word of mouth," Internet Research, Vol.19, No.1(2009), pp.42-59. 

  76. Sun, T., S. Youn, G. Wu, and M. Kuntaraporn, "Online word-of-mouth (or mouse): an exploration of its antecedents and consequences," Journal of Computer-Mediated Communication, Vol.11(2006), pp. 1104-1127. 

  77. Sundaram, D.S., K. Mitra, and C. Webster, "Word-of-mouth communications:A motivational analysis," Advances in Consumer Research, Vol.25(1998), pp.527-531. 

  78. Sussman, S.W. and W.S. Siegal, "Information influence in organizations:an integrated approach to knowledge adoption," Information Systems Research, Vol.14, No.1 (2003), pp.47-65. 

  79. Sweeney, J., G. Soutar, and T. Mazzarol, "Factors influencing word of mouth effectiveness: receiver perspectives," European Journal of Marketing, Vol.42(2008), pp. 344-364. 

  80. Teo, T.S.H., "Attitudes toward online shopping and the Internet," Behaviour and Information Technology, Vol.21, No.4(2002), pp.259-271. 

  81. Wathen, C.N. and J. Burkell, "Believe it or not:Factors influencing credibility on the Web," Journal of the American Society for Information Science and Technology, Vol. 53, No.2(2002), pp.134-144. 

  82. Westbrook, R.A., "Product/consumptionbased affective responses and postpurchase processes," Journal of Marketing Research, Vol.24(1987), pp.258-270. 

  83. Wetzer, I.M., M. Zeelenberg, R. Pieters, "Never eat in that restaurant, I did!: Exploring why people engage in negative word-of-mouth communication," Psychology and Marketing, Vol.24, No.8(2007), pp.661-680. 

  84. Wirtz, J. and P. Chew, "The effects of incentives, deal proneness, satisfaction and tie strength on word-of-mouth behavior," International Journal of Service Industry Management, Vol.13(2002), pp.141-162. 

  85. Zaichkowsky, J.L., "Measuring the involvement construct," Journal of Consumer Research, Vol.12, No.3(1985), pp.341-352. 

저자의 다른 논문 :

활용도 분석정보

상세보기
다운로드
내보내기

활용도 Top5 논문

해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.

관련 콘텐츠

오픈액세스(OA) 유형

FREE

Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로