Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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The Effect of Review Attributes on Brand Attitude, Purchase Decision and e-WOM Intention in Online Shopping Mall

온라인 쇼핑몰에서의 리뷰 속성이 브랜드 태도, 구매결정 및 온라인 구전의도에 미치는 영향

  • Zhang, Han (Department of Business Management, Woosong University) ;
  • Kim, Joon-Sung (Department of Corporate Management, Woosong University)
  • ;
  • 김준성 (우송대학교 매니지먼트학부 경영학전공)
  • Received : 2021.04.05
  • Accepted : 2021.07.20
  • Published : 2021.07.28
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Abstract

This study classifies review attributes into ratings, number of comments and image information in online shopping mall to verify their impact on brand attitude and purchase decision and e-WOM intention. Use SPSS 23.0 for frequency analysis, factor analysis and regression analysis. The results showed that review attributes have a positive effect on brand attitudes, purchase decision and e-WOM intention, but the number of comments has not affect on purchase decision. Brand attitude has a positive effect on purchase decision and e-WOM intention. Brand attitude has media effect in the relationship between ratings, image information and purchase decision, and in the relationship between review attributes and e-WOM intention. As these results, consumers don't always like to have a lot of comments. and should allow to focus on high ratings and photo reviews as much as possible when writing reviews.

본 연구는 온라인 쇼핑몰에서 리뷰의 속성을 평점, 댓글의 양 및 이미지정보로 분류하여 브랜드 태도와 구매결정 및 온라인 구전의도에 미치는 영향을 검증하였다. SPSS 23.0을 이용하여 빈도분석, 요인분석, 회귀분석 등을 실시하였다. 분석 결과, 리뷰 속성이 브랜드 태도, 구매결정 및 온라인 구전의도에 정(+)의 영향을 미치는 것이 확인되었으나 댓글의 양은 구매결정에 영향을 미치지 않은 것으로 나타났다. 브랜드 태도는 구매결정에, 온라인 구전의도에 정(+)의 영향을 미치는 것이 확인되었다. 더불어 평점, 이미지정보와 구매결정 간의 영향관계에서, 또한 리뷰 속성과 온라인 구전의도 간의 영향관계에서 브랜드 태도의 매개효과가 확인되었다. 이와 같은 결과는 소비자가 무조건 댓글의 양이 많은 것을 선호하지 않으며, 리뷰를 작성할 때 최대한 높은 평점과 포토후기에 초점을 맞출 수 있도록 해야 함을 시사한다.

Keywords

Acknowledgement

This paper was supported by the research funds of Woosong University in 2021.

References

  1. Consumer Insight. (2020). Changes in consumer sentiment and behavior due to COVID-19
  2. J. K. Shin & J. H. Kim & S. H. Rhee. (2021). A Study on the Effect of Characteristics of Shopping Mall on Revisit: Focusing on the difference in online platform form, Journal of Digital Convergence, 19(4), 73-88. https://doi.org/10.14400/JDC.2021.19.4.073
  3. L. Kwok & K. L. Xie & T. Richards. (2017). Thematic framework of online review research: A systematic analysis of contemporary literature on seven major hospitality and tourism journals, International Journal of Contemporary Hospitality Management, 29(1), 307-354. https://doi.org/10.1108/IJCHM-11-2015-0664
  4. D. Y. Park. (2012). A Study on the Effect of Online Word of Mouth Characteristics on Brand Attitudes and Purchase Intention, Doctoral dissertation, Kyonggi University, Suwon.
  5. C. Park & C. J. Yoo. (2006). Articles: Study on the Effects of Consumers' Word of Mouth about Brand Experiences and Responses on Brand Evaluations at Online Context, Korean Society of Consumer Studies, 17(1), 73-93.
  6. J. S. Chiou & C. Cheng. (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
  7. S. H. Kim. (2003). Articles: The influence of product involvement and knowledge on Internet WOM. The Korean Journal Of Advertising, 14(1), 257-280.
  8. T. M. Lee & C. Park. (2006). Effects of Direction and Type of Electronic Word of Mouth Information on Purchase Decision: Cross-Cultural Comparison between Korea and U. S., Korean Marketing Association, 21(1), 29-56.
  9. S. Y. Jun & K. H. Kim. (2012). The Influence of Two-sided WOM on Consumers' Brand Attitudes in an Online Context, Korean Marketing Association, 27(1), 45-66.
  10. T. W. Park & K. Y. Lee. (2014). An Integrated Model of Information Processing of eWOM in Social Network Service, Advertising Research (100), 172-224.
  11. J. E. Choi & M. S. Yeu. (2018). Do Consumers Always Show Negative Responses when There is High Variance in Online Reviews?: Moderating effect of Variance on Movies, and of Motive for Watching a Movie on Consumer Responses. The Korean Journal of advertising, 29(4), 7-25. https://doi.org/10.14377/kja.2018.5.31.7
  12. T. M. Lin & K. Y. Lu & J. J. Wu. (2012). The efects of visual information in eWOM communication, Journal of Research in Interactive Marketing, 6(1), 7-26. https://doi.org/10.1108/17505931211241341
  13. P. Xu & L. Chen & R. Santhanam. (2015). Wil video be the next generation of e-commerce product reviews? Presentation format and the role of product type, Decision Suport Systems, 73, 85-96.
  14. R. Filieri. (2016). What makes an online consumer review trustworthy? , Annals of Tourism Research, 58, 46-64. https://doi.org/10.1016/j.annals.2015.12.019
  15. S. Hle & J. Le & S. B. Yang & C. Ko. (2019). The moderating efect of restaurant type on hedonic versus utiltarian review evaluations, International Journal of Hospitality Management, 7, 195-206.
  16. S. B. Yang & S. Hlee & J. Lee & C. Koo, (2017). An empirical examination of online restaurant reviews on Yelp.com: A dual coding theory perspective, International Journal of Contemporary Hospitality Management, 29(2), 817-839. https://doi.org/10.1108/IJCHM-11-2015-0643
  17. K. Saleh. (2015). The importance of online customer reviews. retrieved from.
  18. K. Zhao & A. C. Stylianou & Y. Zheng. (2018). Sources and impacts of social influence from online anonymous user reviews. Information & Management, 55(1), 16-30. https://doi.org/10.1016/j.im.2017.03.006
  19. S. M. Mudambi & D. Schuff. (2010). Research note: What makes a helpful online review? A study of customer reviews on Amazon. com. MIS quarterly, 34(1), 185-200. https://doi.org/10.2307/20721420
  20. W. Chu & M. Roh. (2014). Exploring the Role of Preference Heterogeneity and Causal Attribution in Online Rating Dynamics. Asia MarketingJournal, 15(4), 217-235.
  21. Y. Liu. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of marketing, 70(3), 74-89. https://doi.org/10.1509/jmkg.70.3.074
  22. W. Duan & B. Gu & A. B. Whinston. (2008). The dynamics of online word-of-mouth and product sales -An empirical investigation of the movie industry. Journal of retailing, 84(2), 233-242. https://doi.org/10.1016/j.jretai.2008.04.005
  23. F. Zhu & X. Zhang. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of marketing, 74(2), 133-148. https://doi.org/10.1509/jm.74.2.133
  24. J. Kim & S. J. Lennon. (2013). Effects of reputation and website quality on online consumers' emotion, perceived risk and purchase intention. Journal of Research in Interactive Marketing, 7(1), 33-56. https://doi.org/10.1108/17505931311316734
  25. H. H. Jung & J. Y. Choi & J. Y. Park. (2019). The Effect of Online Consumer Ratings and Quantity of Reviews on Visiting Intention: Focusing on the Types of Restaurant, Journal of channel and retailing, 24(4), 1-21. https://doi.org/10.17657/jcr.2019.1.31.1
  26. C. Park & T. M. Lee(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
  27. H. B. Choe. (2014). The Effect of On-Line Word-of-Mouth of the Blog on the Brand Evaluation, Doctoral dissertation, Inha University, Incheon
  28. H. H. Jung. (2019). The Effect of Online Consumer Ratings and Number of Reviews on Visiting Intention: Focusing on the Customers of Restaurant, Doctoral dissertation, Soongsil University, Seoul.
  29. Kramer & Thomas & S. S. Weisfeld & T. Manesh. (2007). The Efect of Cultural Orientation on Consumer Responses to Personalization. Marketing Science, 26(2), 246-258. https://doi.org/10.1287/mksc.1060.0223
  30. Khare & Adwait & I. L. Lauren & K. A. Anthony. (2011). The Asimilative and Contrastive Efects of Word-of-Mouth Volume: An Experimental Examination of Online Consumer Ratings. Journal of Retailng, 87(1), 11-126.
  31. Duan & J. Wen & G. Bin & B. W. Andrew. (2008). The Dynamics of Online Word-of-Mouth and Product Sales-An Empircal Investigation of the Movie Industry. Journal of Retailng, 84(2), 23-242.
  32. Y. Liu. (2006). Word of Mouth for Movies: Its Dynamics and Impact on Box Ofice Revenue. Journal of Marketing, 70(3), 74-89. https://doi.org/10.1509/jmkg.70.3.074
  33. V. Dhar & E. A. Chang. (2009). Does chatter matter? The impact of user-generated content on music sales. Journal of Interactive Marketing, 23(4), 300-307. https://doi.org/10.1016/j.intmar.2009.07.004
  34. B. Fang & Q. Ye & D. Kucukusta & R. Law. (2016). Analysis of the perceived value of online tourism reviews: Influence of readabilty and reviewer characteristics, Tourism Management, 52, 498-506. https://doi.org/10.1016/j.tourman.2015.07.018
  35. B. C. Jung & J. O. Koo. (2013). The Effects of SNS Messengers Traits and Information Charateristics on the Purchase Intention. Korean Corporation Management Review, 48, 251-272.
  36. K. L. Keler. (2013). Strategic Brand Management : Building, Measuring and Managing Brand Equity(4th Edition). Pearson Highter Ed.
  37. A. J. Ji & C. L. Qing. (2020). The effect of Micro and Macro Country Image on Brand Evaluation: Focus on the effect of brand familiarity and openness, Journal of Digital Convergence, 18(4), 75-80. https://doi.org/10.14400/JDC.2020.18.4.075
  38. B. H. Choi & H. S. Lee & S. I. Park. (2020). Effects of Hotel Corporate Cultural Marketing Perceived by Hotel Customers on the Corporate Image and Brand Attitude, Journal of Tourism Sciences, 24(4), 117-138.
  39. S. B. Gu & Y. K. Chong. (2018). Relationship among Personality Type, Brand Personality, Brand Attitude, and Revisit Intention: Focused on the Big 5 Model, Journal of Tourism Sciences, 42(4), 69-88. https://doi.org/10.17086/jts.2018.42.4.69.88
  40. G. W. Kwon. (2012). Marketing, PYMATE, 97-105.
  41. C. Hwang & Y. J. Kwon & S. Y. Lee. (2018). Research on the Influencing Factors of the Usefulness of the Online Review and Products Sales: Based on Chinese Online Shopping Platform Data, Journal of Information Technology Applications & Management, 25(2), 53-72. https://doi.org/10.21219/JITAM.2018.25.2.053
  42. J. H. Mo. (2021). The Effects of Shopping Orientation of Students Majoring in Beauty On Satisfaction In Beauty Contents and Purchasing Behavior, Journal of Digital Convergence, 19(1), 411-420, https://doi.org/10.14400/JDC.2021.19.1.411
  43. J. A. Chevalier & D. Mayzlin. (2006). The effects of word of mouth on sales: Online book reviews, Journal of Marketing Research, 43(3), 345-354. https://doi.org/10.1509/jmkr.43.3.345
  44. S. Sen & D. Lerman. (2007). Why are you telling me this? An examination into negative consumer reviews on the we, Journal of Interactive Marketing, 21(4), 76-94.
  45. D. Smith & S. Menon & K. Sivakumar. (2005). Online peer and editorial recommendations, trust, and choice in virtual markets, Journal of Interactive Marketing, 19(3), 15-37. https://doi.org/10.1002/dir.20041
  46. H. S. Lee & D. R. Lyi. (2004). A Study on the Effect of Online Postscript as Word-of-Mouth. Journal of Public Relations, 8(2), 234-268.
  47. D. S. Yang & J. U. Kim. (2020). A Text Mining Analysis of Attributes for Satisfaction and Effect of Consumer Ratings to Korea and China Duty Free Stores: Focusing on Chinese Tourists, Journal of Digital Convergence, 18(8), 1-9. https://doi.org/10.14400/JDC.2020.18.8.001
  48. K. Halvorsen & J. Hoffmann & I. Coste-Maniere & R. Stankeviciute. (2013). Can fashion blogs function as a marketing tool to influence consumer behavior? Evidence from Norway. Journal of Global Fashion Marketing, 4(3), 211-224. https://doi.org/10.1080/20932685.2013.790707
  49. J. Jin & B. G. Kang. (2012). A Study on the User Satisfaction and Intention of the Corporate Microblog: A Comparative Study between Korea and China, The Korea Society of Management information Systems, 1272-1278.
  50. H. Seo. (2006). A Study on The Impact of Perceived Value by Customer's Involvement in Casino on Satisfaction and Revisit Intention, Doctoral dissertation, Kyung Hee University, Seoul.
  51. J. H. Kim & B. Y. Kim. (2004). The influence of the information types and the consumer's prior attitude toward the corporation on intention of Word-of-Mouth, Advertising Research, 63, 31-54. https://doi.org/10.1017/S0021849904040024
  52. H. J. Jeong. (2018). The Effects of Direction and Type of Online Reviews on Brand Attitude and Purchasing Intention: Moderating Effects of Regulatory Focus and Temporal Distance, Doctoral dissertation, Dongguk University, Seoul.
  53. C. Kudeshia & A. Kumar. (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
  54. S. J. Park & S. Q. Wang & Y. R. Lee. (2019). The Effects of the Valence and Number of Modes and Range in the Distribution of Online Review Rating on Purchase Intention, Korean Management Science Review, 36(2), 39-51. https://doi.org/10.7737/kmsr.2019.36.2.039
  55. S. Gopinath & J. S. Thomas & L. Krishnamurthi. (2014). Investigating the relationship between the content of online word of mouth, advertising, and brand performance. Marketing Science, 33(2), 241-258. https://doi.org/10.1287/mksc.2013.0820
  56. N. K. Then & M. R. DeLong. (1999). Aparel shoping on the web, Journal of Family and Consumer Sciences, 91(3), 65-78.
  57. J. E. Kang. (2018). The effects of e-WOM information on trust, purchase intention, and e-WOM intention : Focusing on hotel room purchasing consumers, International Journal of Tourism and Hospitality Research, 32(2), 187-199. https://doi.org/10.21298/ijthr.2018.02.32.2.187
  58. H. R. Lee & J. J. Kim. (2015). The effect of social distance, source expertise on brand attitude and purchasing intention according to e-WOM directionality. Journal of Distribution and Management Research, 18(4), 51-74. https://doi.org/10.17961/jdmr.18.4.201508.51
  59. P. N. Shamdasani & A. A. Balakrishnan. (2000). Determinants of relationship quality and loyalty in personalized services. Asia Pacific Journal of Management, 17(3), 399-422. https://doi.org/10.1023/a:1015834214570
  60. M. H. Chun. (2011). Credibility of e-WOM in Travel Industry, and its Influence in WOM Effect. Journal of the Korea Contents Association, 11(5), 424-432. https://doi.org/10.5392/JKCA.2011.11.5.424
  61. J. W. Jun. (2017). Transportation Effects of Branded Entertainment Storytelling on Trust, Attitudes, and WOM Intentions, Journal of Media Economics & Culture, 15(2), 44-76. https://doi.org/10.21328/JMEC.2017.5.15.2.44
  62. N. H. Kim & C. H. Park. (2019). Effects of SNS Marketing of Cosmetics Company on Brand Attitude and Purchase Intention of Chinese Consumers: Focused on Female College Students with Cosmetology Major in Shandong Province, China, Journal of Investigative Cosmetology, 15(3), 341-350. https://doi.org/10.15810/JIC.2019.15.3.013
  63. M. T. Lee & J. Y. Li & S. W. Shim. (2020). An Exploratory Study on the Effect of YouTube Beauty Influencer Attributes on Contents Attitude, Product Attitude, Word of Mouth Intention, and Purchase Intention, The Korean Journal of Advertising, 31(5). 117-142. https://doi.org/10.14377/KJA.2020.7.15.117
  64. H. H. Jung & J. Y. Choi & J. Y. Park. (2019). The Efect of Franchise Brand Online Review on User Atitude: Focusing on the Moderating Efect of Brand Level, Journal of Franchising, 4(2), 46-71. https://doi.org/10.22985/KASOF.2019.4.2.002
  65. Y. S. Joung. (2015). The Influence of Characteristics of SMS Sender of Catering Products and Oral Information on Attitudes of Consumers and Intension of Purchase and Oral Transmission, Doctoral dissertation, Kyonggi University, Suwon.
  66. G. Y. Lim. (2020). The Efect of Hotel Brand Equity and Relationship Benefits on The Atitude and Behavioral Intention of Extended Brands: The Moderating Role of Involvement and Experience Value, Doctoral dissertation, Anyang Universit, Anyang.
  67. W. S. Ko. (2019). A Study on the Determinants of Cosmeceutical Purchasing According to Endusers Consumption Trends: Beauty Interest and Cosmeceutical Recognition, Doctoral dissertation, Seokyeong University, Seoul.
  68. E. H. Chun & H. M. Seok & M. J. Chung & E. J. Ko. (2017). A Study on the Types of Product Review on Mobile Beauty App, Perceived Information Authenticity, Brand Attitude, Purchase Intention and e-WOM Intention, Fashion & Text. Res. J., 19(2), 180-193. https://doi.org/10.5805/SFTI.2017.19.2.180
  69. R. M. Baron & D. A. Kenny. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173. https://doi.org/10.1037/0022-3514.51.6.1173