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http://dx.doi.org/10.7838/jsebs.2022.27.2.153

Factors Affecting the Usefulness of Online Reviews: The Moderating Role of Price  

Yun, Jiyun (TIME Technical Support)
Ro, Yuna (College of Business School, Seoul National University)
Kwon, Boram (College of Business School, Seoul National University)
Jahng, Jungjoo (College of Business School, Seoul National University)
Publication Information
The Journal of Society for e-Business Studies / v.27, no.2, 2022 , pp. 153-173 More about this Journal
Abstract
This study analyzes yelp's online restaurant reviews written in 2019 and explores the factors influencing the decision of the usefulness for online reviews in the restaurant consumption decision process. Specifically, factors expected to affect review usefulness are classified according to the Elaboration Likelihood model. Also, it is assumed that the price range of the restaurant would have a moderating role. For the analysis, datasets provided by yelp.com in February 2020 are used. Among the datasets, online reviews of businesses located in Nevada in the US and belonging to the Food and Restaurant categories are targeted. As a result of the negative binomial regression analysis, it is confirmed that the central cues including review depth and readability and the peripheral cues including review consistency, reviewer popularity, and reviewer exposure positively affect the review usefulness. It is also confirmed that the influences of antecedents that affect the review restaurant prices moderate the effect of the central and peripheral cues on the review usefulness. It also provides implications for the need for price-differentiated review management strategies by review platforms and restaurant businesses.
Keywords
Review usefulness; Elaboration Likelihood Model; Yelp.com; Price;
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1 Clemons, E. K., Gao, G. G., and Hitt, L. M., "When online reviews meet hyperdifferentiation: A study of the craft beer industry," Journal of Management Information Systems, Vol. 23 No. 2, pp. 149-171, 2006.   DOI
2 Johnson, E. J. and Payne, J. W., "Effort and accuracy in choice," Management Science, Vol. 31, No. 4, pp. 395-414, 1985.   DOI
3 Lee, E. J. and Shin, S. Y., "When do consumers buy online product reviews? Effects of review quality, product type, and reviewer's photo," Computers in Human Behavior, Vol. 31, pp. 356-366, 2014.   DOI
4 Chaiken, S. and Eagly, A. H., "Communication modality as a determinant of message persuasiveness and message comprehensibility," Journal of personality and social psychology, Vol. 34, No. 4, pp. 605-614, 1976.   DOI
5 Chen, M. Y., "Can two-sided messages increase the helpfulness of online reviews?," Online Information Review, Vol. 40, No. 3, pp. 316-332, 2016.   DOI
6 Cheung, M. Y., Luo, C., Sia, C. L., and Chen, H., "Credibility of electronic wordof-mouth: Informational and normative determinants of on-line consumer recommendations," International Journal of Electronic Commerce, Vol. 13, No. 4, pp. 9-38, 2009.   DOI
7 Baek, H. M., Ahn, J. H., and Ha, S. W., "Identifying factors affecting helpfulness of online reviews: The moderating role of product price," The Journal of Society for e-Business Studies, Vol. 16, No. 3, pp. 93-112, 2011.   DOI
8 Ghose, A. and Ipeirotis, P. G., "Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics," IEEE transactions on knowledge and data engineering, Vol. 23, No. 10, pp. 1498-1512, 2010.   DOI
9 Cruz, R. A. and Lee, H. J., "The effects of sentiment and readability on useful votes for customer reviews with count type review usefulness index," Journal of Intelligence and Information Systems, Vol. 22, No. 1, pp. 43-61, 2016.   DOI
10 Baek, H. M., Ahn, J. H., and Choi, Y. S., "Helpfulness of online consumer reviews: Readers' objectives and review cues," International Journal of Electronic Commerce, Vol. 17, No. 2, pp. 99-126, 2012.   DOI
11 Fang, B., Ye, Q., Kucukusta, D., and Law, R., "Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics," Tourism Management, Vol. 52, pp. 498-506, 2016.   DOI
12 Filieri, R., Hofacker, C. F., and Alguezaui, S., "What makes information in online consumer reviews diagnostic over time? The role of review relevancy, factuality, currency, source credibility and ranking score," Computers in Human Behavior, Vol. 80, pp. 122-131, 2018.   DOI
13 Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L., Multivariate data analysis, Vol. 5, No. 3, Upper Saddle River, NJ: Prentice Hall, 1998.
14 Kusumasondjaja, S., Shanka, T., and Marchegiani, C., "Credibility of online reviews and initial trust: The roles of reviewer's identity and review valence," Journal of Vacation Marketing, Vol. 18, No. 3, pp. 185-195, 2012.   DOI
15 Lee, H. A., Chung, N. H., and Koo, C. M., "The relational analysis between types of online hotel review and usefulness according to the hotel class," Korea Management Review, Vol. 46, No. 1, pp. 137-156, 2017.   DOI
16 Lin, L., Gang, R., Hong, T., and Yang, S. B., "Exploring simultaneous presentation in online restaurant reviews: An analysis of textual and visual content," Asia Pacific Journal of Information Systems, Vol. 29, No. 2, pp. 181-202, 2019.   DOI
17 Liu, Z. and Park, S., "What makes a useful online review? Implication for travel product websites," Tourism Management, Vol. 47, pp. 140-151, 2015.   DOI
18 Kwon, J. and Lee, M. Y., "A study on the determining factors of online review helpfulness," Journal of Korea Intelligent information Systems Society, pp. 205-211, 2012.
19 Cheng, Y. H. and Ho, H. Y., "Social influence's impact on reader perceptions of online reviews," Journal of Business Research, Vol. 68, No. 4, pp. 883-887, 2015.   DOI
20 Beuscart, J. S., Mellet, K., and Trespeuch, M., "Reactivity without legitimacy? Online consumer reviews in the restaurant industry," Journal of Cultural Economy, Vol. 9, No. 5, pp. 458-475, 2016.   DOI
21 Cho, S. H. and Yi, M. Y., "Business implications of the factors that determine online review helpfulness," Entrue Journal of Information Technology, Vol. 13, No. 1, pp. 29-40, 2014.
22 Mudambi, S. M. and Schuff, D., "Research note: What makes a helpful online review? A study of customer reviews on Amazon.com," MIS Quarterly, Vol. 34, No. 1, pp. 185-200, 2010.   DOI
23 Park, C. and Lee, T. M., "Information direction, website reputation and eWOM effect: A moderating role of product type," Journal of Business Research, Vol. 62, No. 1, pp. 61-67, 2009.   DOI
24 Ludwig, S., De Ruyter, K., Friedman, M., Bruggen, E. C., Wetzels, M., and Pfann, G., "More than words: The influence of affective content and linguistic style matches in online reviews on conversion rates," Journal of Marketing, Vol. 77, No. 1, pp. 87-103, 2013.   DOI
25 Manganari, E. E. and Dimara, E., "Enhancing the impact of online hotel reviews through the use of emoticons," Behaviour & Information Technology, Vol. 36, No. 7, pp. 674-686, 2017.   DOI
26 Nakayama, M. and Wan, Y., "The cultural impact on social commerce: A sentiment analysis on Yelp ethnic restaurant reviews," Information & Management, Vol. 56, No. 2, pp. 271-279, 2019.   DOI
27 Schuckert, M., Liu, X., and Law, R., "Hospitality and tourism online reviews: Recent trends and future directions," Journal of Travel & Tourism Marketing, Vol. 32, No. 5, pp. 608-621, 2015.   DOI
28 Park, D. H., Lee, J., and Han, I., "The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement," International Journal of Electronic Commerce, Vol. 11, No. 4, pp. 125-148, 2007.   DOI
29 Petty, R. E. and Cacioppo, J. T., "The elaboration likelihood model of persuasion," Communication and Persuasion, Springer, New York, NY, pp. 1-24, 1986.
30 Schindler, R. M. and Bickart, B., "Perceived helpfulness of online consumer reviews: The role of message content and style," Journal of Consumer Behaviour, Vol. 1, No. 3, pp. 234-243, 2012.   DOI
31 Lu, X., Ba, S., Huang, L., and Feng, Y., "Promotional marketing or word-of-mouth? Evidence from online restaurant reviews," Information Systems Research, Vol. 24, No. 3, pp. 596-612, 2013.   DOI
32 Ye, Q., Zhang, Z., and Law, R., "Sentiment classification of online reviews to travel destinations by supervised machine learning approaches," Expert Systems with Applications, Vol. 36, No. 3, pp. 6527-6535, 2009.   DOI
33 Treisman, A. M. and Phil, D., "Selective attention in man," British Medical Bulletin, Vol. 20, No. 1, pp. 12-16, 1964.   DOI
34 Veale, R. and Quester, P., "Do consumer expectations match experience? Predicting the influence of price and country of origin on perceptions of product quality," International Business Review, Vol. 18, No. 2, pp. 134-144, 2009.   DOI
35 Wang, E. Y., Fong, L. H. N., and Law, R., Review helpfulness: the influences of price cues and hotel class, In Information and Communication Technologies in Tourism 2020, Springer, Cham, pp. 280-291, 2020.
36 Weiss, A. M., Lurie, N. H., and MacInnis, D. J., "Listening to strangers: whose responses are valuable, how valuable are they, and why?," Journal of marketing Research, Vol. 45, No. 4, pp. 425-436, 2008.   DOI
37 Yang, S. B., Lee, S., Lee, J., and Koo, C., "An empirical examination of online restaurant reviews on Yelp. com: A dual coding theory perspective," International Journal of Contemporary Hospitality Management, Vol. 29, No. 2, pp. 817-839, 2017.   DOI
38 Zhu, L., Yin, G., and He, W., "Is this opinion leader's review useful? Peripheral cues for online review helpfulness," Journal of Electronic Commerce Research, Vol. 15, No. 4, pp. 267-280, 2014.
39 Willemsen, L. M., Neijens, P. C., Bronner, F., and De Ridder, J. A., "Highly recommended!" The content characteristics and perceived usefulness of online consumer reviews," Journal of Computer-Mediated Communication, Vol. 17, No. 1, pp. 19-38, 2011.   DOI
40 Lopes, A. I., Dens, N., De Pelsmacker, P., and De Keyzer, F., "Which cues influence the perceived usefulness and credibility of an online review? A conjoint analysis," Online Information Review, Vol. 45, Vo. 1, pp. 1-20, 2021.
41 Herr, P. M., Kardes, F. R., and Kim, J., "Effects of word-of-mouth and product-attribute information on persuasion: An accessibility-diagnosticity perspective," Journal of Consumer Research, Vol. 17, No. 4, pp. 454-462, 1991.   DOI
42 Kim, S. M., Pantel, P., Chklovski, T., and Pennacchiotti, M., "Automatically assessing review helpfulness," In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pp. 423-430, 2006.
43 Lascu, D. N., Bearden, W. O., and Rose, R. L., "Norm extremity and interpersonal influences on consumer conformity," Journal of Business Research, Vol. 32, No. 3, pp. 201-212, 1995.   DOI
44 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 applications, Vol. 7, No. 3, pp. 341-352, 2008.   DOI