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Effects of Restaurants' e-Wom Characteristics on Attitude and Visit Intention: Focused on Visit Intention Over Time

레스토랑의 e-Wom 특성이 시간 경과에 따른 방문의도를 중심으로 한 태도 및 방문의도에 미치는 영향

  • KIM, Sung-Hwan (Sun systems Co., Ltd.) ;
  • JEON, Young-Mi (Department of General Education for Human Creativity, Hoseo University) ;
  • LEE, Ji-Ah (Graduate school of Doctoral Candidate, School of Business, Sejong University)
  • Received : 2022.05.11
  • Accepted : 2022.06.10
  • Published : 2022.06.10

Abstract

Purpose: With the development of the Internet, consumers can quickly access the electronic word-of-mouth. Consumers seek to reduce uncertainty by referring to the opinions of other consumers about products and services when making purchase decisions. In the food service industry, evaluating a restaurant before an actual visitation is difficult. Therefore, electronic word-of-mouth is important to interact with the customer in restaurants. as it can be used as an exchange of information in which consumers participate and interact with other customers. This study was conducted to verify how online word-of-mouth characteristics (Consensus, Vividness, Neutrality) on attitudes and visit intention from the perspective of social exchange theory. And it was performed to verify the structural relationship between short-term visit intention, mid-term visit and long-term visit intention. Research design, data, and methodology: A survey was conducted on customers who have visited restaurants. Of a total of 312 responses, 306 responses were used, excluding insincere responses and missing values for factors analysis. SPSS 25.0 and AMOS 25.0 were used for statistical analysis, and hypothesis testing was conducted after verifying the validity and reliability of the questionnaire items. Result: The result of the analysis showed that, consensus and neutrality have a positive effect on attitude but not much on vividness. In addition, consensus, vividness, and neutrality have no effect on the short-term visit intention. Finally, the short-term visit intention has a positive effect on mid-term visit intention, and mid-term visit intention has a positive effect on long-term visit intention. Conclusions: Based on the results, this study suggested that it is necessary to have practical implications for marketing and monitoring restaurant reviews in consideration of the characteristics of electronic word-of-mouth. When managing electronic-word-of-mouth, it is necessary to manage the consensus and neutrality is essential to provide sufficient information about the restaurant. The focus should not only be on vividness, such as photos and videos. In addition, restaurants should also provide a good experience for first-time visitors as the short-term visit intention positively affects mid-term and long-term visit intention.

Keywords

References

  1. Abubakar,A. M., Ilkan, M., Al-Tal, R. M., & Eluwole, K. K. (2017). eWOM, revisit intention, destination trust and gender. Journal of Hospitality and Tourism Management, 31, 220-227. https://doi.org/10.1016/j.jhtm.2016.12.005
  2. Adelman, L. M., Falk, J. H., & James, S. (2000). Assessing the National Aquarium in Baltimore's impact on visitor's conservation knowledge, attitudes and behaviors. Curator, 43(1), 33-62. https://doi.org/10.1111/j.2151-6952.2000.tb01158.x
  3. Anderson, E. W. (1998). Customer satisfaction and word of mouth. Journal of Service Research, 1(1), 5-17. https://doi.org/10.1177/109467059800100102
  4. Assaker, G., Vinzi, V. E., & O'Connor, P. (2011). Examining the effect of novelty seeking, satisfaction, and destination image on tourists' return pattern: A two factor, non-linear latent growth model. Tourism Management, 32(4), 890-901. https://doi.org/10.1016/j.tourman.2010.08.004
  5. Assaker, G., & Hallak, R. (2013). Moderating effects of tourists' novelty-seeking tendencies on destination image, visitor satisfaction, and short-and long-term revisit intentions. Journal of Travel Research, 52(5), 600-613. https://doi.org/10.1177/0047287513478497
  6. Asiegbu, I. F., Powei, D. M., & Iruka, C. H. (2012). Consumer attitude: Some reflections on its concept, trilogy, relationship with consumer behavior, and marketing implications. European Journal of Business and Management, 4(13), 38-50.
  7. Ballantyne, R., Packer, J., Hughes, K., & Dierking, L. (2007). Conservation learning in wildlife tourism settings: Lessons from research in zoos and aquariums. Environmental Education Research, 13(3), 367-383. https://doi.org/10.1080/13504620701430604
  8. Babic Rosario, A., Sotgiu, F., De Valck, K., & Bijmolt, T. H.(2016). The effect of electronic word of mouth on sales: A metaanalytic review of platform, product, and metric factors. Journal of Marketing Research, 53(3), 297-318. https://doi.org/10.1509/jmr.14.0380
  9. Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The influence of multiple store environment cues on perceived merchandise value and patronage intentions. Journal of Marketing, 66(2), 120-141. https://doi.org/10.1509/jmkg.66.2.120.18470
  10. Baker, D. M. A., & Fulford, M. (2016). Cruise passengers' perceived value and willingness to recommend. Tourism & Management Studies, 12(1), 74-85. https://doi.org/10.18089/tms.2016.12108
  11. Bechler, C. J., Tormala, Z. L., & Rucker, D. D. (2021). The attitude-behavior relationship revisited. Psychological Science, 32(8), 1285-1297 https://doi.org/10.1177/0956797621995206
  12. Berger, J., & Milkman, K. L. (2012). What makes online content viral?. Journal of Marketing Research, 49(2), 192-205. https://doi.org/10.1509/jmr.10.0353
  13. Berger, J. (2014). Word ofmouth and interpersonal communication: A review and directions for future research. Journal of Consumer Psychology, 24(4), 586-607. https://doi.org/10.1016/j.jcps.2014.05.002
  14. Bigne, J. E., Sanchez, M. I., & Sanchez, J. (2001). Tourism image, evaluation variables and after purchase behaviour: Inter-relationship. Tourism Management, 22(6), 607-616. https://doi.org/10.1016/S0261-5177(01)00035-8
  15. Bigne, J. E., Sanchez, I., & Andreu, L. (2009). The role of variety seeking in short and long run revisit intentions in holiday destinations. International Journal of Culture, Tourism and Hospitality Research, 3(2), 103-115
  16. Bowen, J., & Ford, R. C. (2002). Managing service organizations: Does having a "thing" make a difference? Journal of Management, 28(3), 447-469. https://doi.org/10.1177/014920630202800309
  17. Bowman, D., & Narayandas, D. (2001). Managing customer-initiated contacts with manufacturers: The impact on share of category requirements and word-of-mouth behavior. Journal of Marketing Research, 38(3), 281-297. https://doi.org/10.1509/jmkr.38.3.281.18863
  18. Brijs, K., Vanhoof, K., Brijs, T., & Karlis, D. (2006). Using fuzzy set theory to assess country-of-origin effects on the formation of product attitude. In Modeling Decisions for Artificial Intelligence, Springer, Berlin, Heidelberg, 3(5), 138-149.
  19. Brown, J. J., & Reingen, P. H. (1987). Social ties and word-of-mouth referral behavior. Journal of Consumer Research, 14(3), 350-362. https://doi.org/10.1086/209118
  20. Brown, T. J., Barry, T. E., Dacin, P. A., & Gunst, R. F. (2005). 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, 33(2), 123-138. https://doi.org/10.1177/0092070304268417
  21. 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), 2-20. https://doi.org/10.1002/dir.20082
  22. Carver, C. S. (2006). Approach, avoidance, and the self-regulation of affect and action. Motivation and Emotion, 30(2), 105-110. https://doi.org/10.1007/s11031-006-9044-7
  23. Chaiken, S. (1987). The heuristic model of persuasion. In Social influence: The Ontario Symposium, 5, 3-39
  24. Chang, H. H., & Wu, L. H. (2014). An examination of negative eWOM adoption: Brand commitment as a moderator. Decision Support Systems, 59, 206-218. https://doi.org/10.1016/j.dss.2013.11.008
  25. Chen, G. L., Yang, S. C., & Tang, S. M. (2013). Sense of virtual community and knowledge contribution in a P3 virtual community: Motivation and experience. Internet Research. 23(1), 4-26 https://doi.org/10.1108/10662241311295755
  26. Chen, M. F., & Li, H. L. (2007). The consumer's attitude toward genetically modified foods in Taiwan. Food Quality and Preference, 18(4), 662-674. https://doi.org/10.1016/j.foodqual.2006.10.002
  27. Cheung, C. M., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461-470. https://doi.org/10.1016/j.dss.2012.06.008
  28. Chiou, J. S., & Cheng, C. (2003). Should a company have message boards on its web sites? Journal of Interactive Marketing, 17(3), 50-61. https://doi.org/10.1002/dir.10059
  29. Cho, B. K., & Shin, H. S. (2020). Effects of SNS characteristics on SNS engagement and consumer brand engagement. Korean Journal of Franchise Management, 11(2), 23-39. https://doi.org/10.21871/KJFM.2020.6.11.2.23
  30. Darnell, A. C., & Johnson, P. S. (2001). Repeat visits to attractions: Apreliminary economic analysis. Tourism Management, 22(2), 119-126 https://doi.org/10.1016/S0261-5177(00)00036-4
  31. De Matos, C. A., & Rossi, C. A. V. (2008). Word-of-mouth communications in marketing: A meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36(4), 578-596. https://doi.org/10.1007/s11747-008-0121-1
  32. Cheon, D.H & Lee, H.J. (2012). A Study of effect on trust, acceptance and spread of word-of-mouth and purchase intention by characteristics of electronic word-of-mouth on travel industry. The Academy of Customer Satisfaction Management, 14(1), 83-100.
  33. De Vries, L., Gensler, S., & Leeflang, P. S. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83-91. https://doi.org/10.1016/j.intmar.2012.01.003
  34. DiMatteo, M. R., Linn, L. S., Chang, B. L., & Cope, D. W. (1985). Affect and neutrality in physician behavior: Astudy of patients' values and satisfaction. Journal of Behavioral Medicine, 8(4), 397-409. https://doi.org/10.1007/BF00848371
  35. Sanchez-Garcia, I., Pieters, R., Zeelenberg, M., & Bigne, E. (2012). When satisfied consumers do not return: Variety seeking's effect on short-and long-term intentions. Psychology & Marketing, 29(1), 15-24. https://doi.org/10.1002/mar.20431
  36. Gross, J. J., & Levenson, R. W. (1995). Emotion elicitation using films. Cognition & Emotion, 9(1), 87-108. https://doi.org/10.1080/02699939508408966
  37. Ghosh, A., Varshney, S., & Venugopal, P. (2014). Social media WOM: Definition, consequences and inter-relationships. Management and Labour Studies, 39(3), 293-308. https://doi.org/10.1177/0258042X15577899
  38. Han, J. S., Joung, Y. S., & Lee, H. J. (2016). Effects of Benefit Sought of Food Products on Purchase Intention and WOM Intention on SNS-Focused on SNS WOM Information Characteristics as Mediator. Culinary Science and Hospitality Research, 22(4), 302-318. https://doi.org/10.20878/cshr.2016.22.4.022022022
  39. Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage publications.
  40. Harrigan, P., Evers, U., Miles, M., & Daly, T. (2017). Customer engagement with tourism social media brands. Tourism Management, 59, 597-609. https://doi.org/10.1016/j.tourman.2016.09.015
  41. Heath, C., Bell, C., & Sternberg, E. (2001). Emotional selection in memes: The case of urban legends. Journal of Personality and Social Psychology, 81(6), 1028-1041. https://doi.org/10.1037/0022-3514.81.6.1028
  42. Heo, Y. W. (2020). The effect of online WOM of menu product consumers on product perception risk and WOM effect. Journal of Distribution Science, 18(3), 77-85.
  43. 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), 454-462. https://doi.org/10.1086/208570
  44. Herrera-Viedma, E., Cabrerizo, F.J.,Chiclana, F., Wu,J.,Cobo, M. J., & Konstantin, S. (2017). Consensus in group decision making and social networks. Studies in Informatics and Control, 26(3), 259-268
  45. Hewig, J., Hagemann, D., Seifert,J., Gollwitzer, M., Naumann, E., & Bartussek, D. (2005). A revised film set for the induction of basic emotions. Cognition and Emotion, 19(7), 1095-1109. https://doi.org/10.1080/02699930541000084
  46. Hollebeek, L. (2011). Exploring customer brand engagement: Definition and themes. Journal of Strategic Marketing, 19(7), 555-573. https://doi.org/10.1080/0965254X.2011.599493
  47. Huang, Z., Cai, L. A., Yu, X., & Li, M. (2014). A Further investigation of revisit intention: A multigroup analysis. Journal of Hospitality Marketing & Management, 23(8), 815-832. https://doi.org/10.1080/19368623.2013.792757
  48. Huifeng, P., & Ha, H. Y. (2021). Temporal effects of online customer reviews on restaurant visit intention: the role of perceived risk. Journal of Hospitality Marketing & Management, 30(7), 825-844. https://doi.org/10.1080/19368623.2021.1897053
  49. Iglesias, M. P., & Guillen, M. J. Y. (2002). Searching for information when selecting a restaurant. Food Service Technology, 2(1), 35-45. https://doi.org/10.1046/j.1471-5740.2002.00032.x
  50. Jadad, A. R., & Gagliardi, A. (1998). Rating health information on the Internet: Navigating to knowledge or to Babel? Jama, 279(8), 611-614. https://doi.org/10.1001/jama.279.8.611
  51. Jang, S. S., & Feng, R. (2007). Temporal destination revisit intention: The effects of novelty seeking and satisfaction. Tourism Management, 28(2), 580-590. https://doi.org/10.1016/j.tourman.2006.04.024
  52. Jeong, E., & Jang, S. S. (2011). Restaurant experiences triggering positive electronic Word-Of-Mouth (eWOM) motivations. International Journal of Hospitality Management, 30(2), 356-366. https://doi.org/10.1016/j.ijhm.2010.08.005
  53. Jenkins, L. M., & Andrewes, D. G. (2012). A new set of standardised verbal and non-verbal contemporary film stimuli for the elicitation of emotions. Brain Impairment, 13(2), 212-227. https://doi.org/10.1017/brimp.2012.18
  54. Jones, S. A., Aiken, K. D., & Boush, D. M. (2009). Integrating experience, advertising, and electronic word of mouth. Journal of Internet Commerce, 8(3-4), 246-267. https://doi.org/10.1080/15332860903467664
  55. Jung, N. Y., Kim, S., & Kim, S. (2014). Influence of consumer attitude toward online brand community on revisit intention and brand trust. Journal of Retailing and Consumer Services, 21(4), 581-589. https://doi.org/10.1016/j.jretconser.2014.04.002
  56. Kim, E. J., Kim, S. H., & Lee, Y. K. (2019). The effects of brand hearsay on brand trust and brand attitudes. Journal of Hospitality Marketing & Management, 28(7), 765-784. https://doi.org/10.1080/19368623.2019.1567431
  57. Kim, H. S., Choi, Y. S., & Shin, C. S. (2019). Relationship among restaurant owner's SNS marketing, trust, purchase intention, and word of mouth intention. Journal of Distribution Science, 17(7), 27-38. https://doi.org/10.15722/JDS.17.7.201907.27
  58. Kim, N, E., Kim, M, H. (2010) The Impacts of Tourism eWOM Information Characteristics and Community Interactivity on eWOM Information Usefulness and eWOM Effects. Journal of Korea Service Management Society, 11(3), 17-44. https://doi.org/10.15706/jksms.2010.11.3.002
  59. Kraus, S. J. (1995). Attitudes and the prediction of behavior: A meta-analysis of the empirical literature. Personality and Social Psychology Bulletin, 21(1), 58-75. https://doi.org/10.1177/0146167295211007
  60. Kristina, T., & Sugiarto, C. (2020). The role of trust mediatesin the influence of social media marketing and Electronic Word-o-fMouth on purchase intention. Management and Entrepreneurship: Trends of Development, 4(14), 102-113. https://doi.org/10.26661/2522-1566/2020-4/14-08
  61. Kwon, J. H., Kim, S., Lee, Y. K., & Ryu, K. (2021). Characteristics of social media content and their effects on restaurant patrons. Sustainability, 13(2), 1-16.
  62. Kudeshia, C., & Kumar, A. (2017). Social eWOM: Does it affect the brand attitude and purchase intention of brands?. Management Research Review, 40(3), 310-330 https://doi.org/10.1108/MRR-07-2015-0161
  63. Kumar, V., Dalla Pozza, I., & Ganesh, J. (2013). Revisiting the satisfaction-loyalty relationship: empirical generalizations and directions for future research. Journal of Retailing, 89(3), 246-262. https://doi.org/10.1016/j.jretai.2013.02.001
  64. Kuo, H. C., & Nakhata, C. (2019). The impact of electronic word-of-mouth on customer satisfaction. Journal of Marketing Theory and Practice, 27(3), 331-348. https://doi.org/10.1080/10696679.2019.1615840
  65. Ladhari, R., & Michaud, M. (2015). eWOM effects on hotel booking intentions, attitudes, trust, and website perceptions. International Journal of Hospitality Management, 46, 36-45. https://doi.org/10.1016/j.ijhm.2015.01.010
  66. Lee, C.H., & Cranage, D.A. (2014). Toward understanding consumer processing of negative online word-of-mouth communication: The roles of opinion consensus and organizational response strategies. Journal of Hospitality & Tourism Research, 38(3), 330-360. https://doi.org/10.1177/1096348012451455
  67. Lee, S. H., Lee, Y.-K., & Lee, J. G. (2019). Effects of service value on attitude, and loyalty in food-service franchise. Korean Journal of Franchise Management, 10(3), 13-23. https://doi.org/10.21871/KJFM.2019.9.10.3.13
  68. Lee, J. M, Park, D. H., & Han, I. G. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 341-352. https://doi.org/10.1016/j.elerap.2007.05.004
  69. Leung, X. Y., Sun, J., & Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. International Journal of Hospitality Management, 66, 35-45. https://doi.org/10.1016/j.ijhm.2017.06.012
  70. Litvin, S. W., Goldsmith, R. E., & Pan, B.(2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458-468. https://doi.org/10.1016/j.tourman.2007.05.011
  71. Lovett, M.J., Peres, R., & Shachar, R. (2013). On brands and word of mouth. Journal of Marketing Research, 50(4), 427-444. https://doi.org/10.1509/jmr.11.0458
  72. Lueg, J. E., Ponder, N., Beatty, S. E., & Capella, M. L. (2006). Teenagers' use of alternative shopping channels: A consumer socialization perspective. Journal of Retailing, 82(2), 137-153. https://doi.org/10.1016/j.jretai.2005.08.002
  73. Luo, Q., & Zhong, D. (2015). Using social network analysis to explain communication characteristics of travel-related electronic word-of-mouth on social networking sites. Tourism Management, 46, 274-282. https://doi.org/10.1016/j.tourman.2014.07.007
  74. Martin, D., O'neill, M., Hubbard, S., & Palmer, A. (2008). The role of emotion in explaining consumer satisfaction and future behavioural intention. Journal of Services Marketing, 22(3), 224-236 https://doi.org/10.1108/08876040810871183
  75. Martin, W. C., & Lueg, J. E. (2013). Modeling word-of-mouth usage. Journal of Business Research, 66(7), 801-808. https://doi.org/10.1016/j.jbusres.2011.06.004
  76. Manthiou, A., Lee, S. A., Tang, L. R., & Chiang, L. (2014). The experience economy approach to festival marketing: Vivid memory and attendee loyalty. Journal of Services Marketing, 28(1) 22-35 https://doi.org/10.1108/JSM-06-2012-0105
  77. Mangold, W. G., Miller, F., & Brockway, G. R. (1999). Word-of-mouth communication in the service marketplace. Journal of Services Marketing, 13(1), 73-89. https://doi.org/10.1108/08876049910256186
  78. Manosuthi, N., Lee, J. S., & Han, H. (2020). Predicting the revisit intention of volunteer tourists using the merged model between the theory of planned behavior and norm activation model. Journal of Travel & Tourism Marketing, 37(4), 510-532. https://doi.org/10.1080/10548408.2020.1784364
  79. Munzel, A. (2016). Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus. Journal of Retailing and Consumer Services, 32, 96-108. https://doi.org/10.1016/j.jretconser.2016.06.002
  80. Lee, N. K., Kim, G.J., & Byun, G. (2014). A study on married women's accepting process of SNS WOM and forming process of behavioral intention for restaurants: Focusing on Busan. Culinary Science & Hospitality Research, 20(6), 159-174. https://doi.org/10.20878/CSHR.2014.20.6.014
  81. Nobar, H. B. K., & Rostamzadeh, R. (2018). The impact of customer satisfaction, customer experience and customer loyalty on brand power: Empirical evidence from hotel industry. Journal of Business Economics and Management, 19(2), 417-430. https://doi.org/10.3846/jbem.2018.5678
  82. Oppermann, M. (2000). Tourism destination loyalty. Journal of Travel Research, 39(1), 78-84. https://doi.org/10.1177/004728750003900110
  83. Oppermann, M. (1999). Predicting destination choice-A discussion of destination loyalty. Journal of Vacation Marketing, 5(1), 51-65. https://doi.org/10.1177/135676679900500105
  84. Park, C., & Lee, T.M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61-67. https://doi.org/10.1016/j.jbusres.2007.11.017
  85. Park, D. S., & Han, J. S. (2016). Effects of SNS WOM information characteristics on attitude and purchase intention in restaurant food-focused on the SNS WOM receivers characteristics as moderator. Culinary Science and Hospitality Research, 22(8), 39-52. https://doi.org/10.20878/cshr.2016.22.8.39
  86. Putrevu, S., & Lord, K. R. (2001). Search dimensions, patterns and segment profiles of grocery shoppers. Journal of Retailing and Consumer Services, 8(3), 127-137. https://doi.org/10.1016/S0969-6989(00)00013-8
  87. Racherla, P., Mandviwalla, M., & Connolly, D. J. (2012). Factors affecting consumers' trust in online product reviews. Journal of Consumer Behaviour, 11(2), 94-104. https://doi.org/10.1002/cb.385
  88. Rather, R. A. (2019). Consequences of consumer engagement in service marketing: An empirical exploration. Journal of Global Marketing, 32(2), 116-135. https://doi.org/10.1080/08911762.2018.1454995
  89. Rather, R. A., & Sharma, J. (2019). Dimensionality and consequences of customer engagement: A social exchange perspective. Vision, 23(3), 255-266. https://doi.org/10.1177/0972262919850923
  90. Riemer, M. J. (2007). Communication skills for the 21st century engineer. Global Journal of Engineering Education, 11(1), 89-100.
  91. Roh, H. S., Lee, Y. K., & Lee, S. H. (2021). An experimental study on the effects of SNS advertising attributes on advertising attitude and purchase intention according to SNS follower intimacy. Journal of Product Research, 39(1), 87-98. https://doi.org/10.36345/KACST.2021.39.1.011
  92. Russell, J. A. (2003). Core affect and the psychological construction of emotion. Psychological Review, 110(1), 145-172. https://doi.org/10.1037/0033-295X.110.1.145
  93. Saarijarvi, H., Karjaluoto, H., & Kuusela, H. (2013). Customer relationship management: The evolving role of customer data. Marketing Intelligence & Planning, 31(6), 584-600 https://doi.org/10.1108/MIP-05-2012-0055
  94. Sen, S., & Lerman, D. (2007). Why are you telling me this? An examination into negative consumer reviews on the web. Journal of Interactive Marketing, 21(4), 76-94. https://doi.org/10.1002/dir.20090
  95. Schultz, C. D. (2017). Proposing to your fans: Which brand post characteristics drive consumer engagement activities on social media brand pages? Electronic Commerce Research and Applications, 26, 23-34. https://doi.org/10.1016/j.elerap.2017.09.005
  96. Soderlund, M., & Rosengren, S. (2007). Receiving word-of-mouth from the service customer: An emotion-based effectiveness assessment. Journal of Retailing and Consumer Services, 14(2), 123-136. https://doi.org/10.1016/j.jretconser.2006.10.001
  97. Shuang, Y. (2013). Effects of information quality and source credibility on eWOM adoption in context of virtual community. International Conference on Management Science and Engineering, 19, 194-200
  98. Sweeney, J. C., Soutar, G. N., & Mazzarol, T. (2008). Factors influencing word of mouth effectiveness: Receiver perspectives. European Journal of Marketing, 42(3), 344- 364. https://doi.org/10.1108/03090560810852977
  99. Teng, S., Khong, K. W., Chong, A. Y. L., & Lin, B. (2017). Examining the impacts of electronic word-of-mouth message on consumers' attitude. Journal of Computer Information Systems, 57(3), 238-251. https://doi.org/10.1080/08874417.2016.1184012
  100. Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word-of-mouth versus traditional marketing: Findings from an internet social networking site. Journal of Marketing, 73(5), 90-102. https://doi.org/10.1509/jmkg.73.5.90
  101. Um, S., Chon, K., & Ro, Y. (2006). Antecedents of revisit intention. Annals of Tourism Research, 33(4), 1141-1158. https://doi.org/10.1016/j.annals.2006.06.003
  102. Wang, X., Yu, C., & Wei, Y. (2012). Social media peer communication and impacts on purchase intentions: A consumer socialization framework. Journal of Interactive Marketing, 26(4), 198-208. https://doi.org/10.1016/j.intmar.2011.11.004
  103. Wang, Y., Kim, J. W., & Kim, J. W. (2021). The financial impact of online customer reviews in the restaurant industry: A moderating effect of brand equity. International Journal of Hospitality Management, 95, 1-9.
  104. Wangenheim, F. V., & Bayon, T. (2004). The effect of word of mouth on services switching: Measurement and moderating variables. European Journal of Marketing, 38(9), 1173-1185 https://doi.org/10.1108/03090560410548924
  105. Wangenheim, F. V., & Bayon, T. (2007). Behavioral consequences of overbooking service capacity. Journal of Marketing, 71(4), 36-47. https://doi.org/10.1509/jmkg.71.4.36
  106. Xuan, P., & Seo, W.S. (2019). The impact of eWOM information characteristics and community characteristics on guesthouses brand attitude, brand image and tourists' behavioral intention. Journal of Internet Electronic Commerce Research, 19(5), 283-304. https://doi.org/10.37272/JIECR.2019.10.19.5.283
  107. Yaniv, I. (2004). Receiving other people's advice: Influence and benefit. Organizational Behavior and Human Decision Processes, 93(1), 1-13. https://doi.org/10.1016/j.obhdp.2003.08.002
  108. Yaniv, I. (2004). The benefit of additional opinions. Current Directions in Psychological Science, 13(2), 75-78. https://doi.org/10.1111/j.0963-7214.2004.00278.x
  109. Yaniv, I., & Milyavsky, M. (2007). Using advice from multiple sources to revise and improve judgments. Organizational Behavior and Human Decision Processes, 103(1), 104-120. https://doi.org/10.1016/j.obhdp.2006.05.006
  110. Yoo, S. J. (2010). Two types of neutrality: Ambivalence versus indifference and political participation. Journal of Politics, 72(1), 163-177. https://doi.org/10.1017/S0022381609990545
  111. Zhang, H., & Park, J. S. (2015). The antecedents of eWOM credibility and its impact on secondary eWOM intentions Focused on the moderating effects of eWOM involvement. Management & Information Systems Review, 34(1), 81-101. https://doi.org/10.29214/DAMIS.2015.34.1.006