97
Views
0
CrossRef citations to date
0
Altmetric
Articles

Short and sweet: How product quality uncertainty, review length and richness shape review helpfulness

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 143-162 | Received 21 Jul 2023, Accepted 28 Aug 2023, Published online: 06 Nov 2023

References

  • Ahmad, S. N., & Laroche, M. (2015). How do expressed emotions affect the helpfulness of a product review? Evidence from reviews using latent semantic analysis. International Journal of Electronic Commerce, 20(1), 76–111. https://doi.org/10.1080/10864415.2016.1061471
  • Akbarabadi, M., & Hosseini, M. (2020). Predicting the helpfulness of online customer reviews: The role of title features. International Journal of Market Research, 62(3), 272–287. https://doi.org/10.1177/1470785318819979
  • Argo, J. J., Popa, M., & Smith, M. C. (2010). The sound of brands. Journal of Marketing, 74(4), 97–109. https://doi.org/10.1509/jmkg.74.4.097
  • Atkin, C. (1973). Instrumental utilities and information seeking. In P. Clarke (Ed.), New models for mass communication research (pp. 205–242). Sage.
  • Avery, R. J. (1996). Determinants and search for nondurable goods: An empirical assessment of the economics of information theory. The Journal of Consumer Affair, 30(2), 390–420. https://doi.org/10.1111/j.1745-6606.1996.tb00064.x
  • Babić Rosario, A., Sotgiu, F., De Valck, K., & Bijmolt, T. H. A. (2016). The effect of electronic word of mouth on sales: A meta-analytic review of the platform, product, and metric factors. Journal of Marketing Research, 53(3), 297–318. https://doi.org/10.1509/jmr.14.0380
  • Case, D. O., & Given, L. M. (2016). Looking for information: A survey of research on information seeking, needs, and behavior. Emerald Group Publishing Limited https://doi.org/10.1108/S2055-53772016022.
  • Chen, S., & Chaiken, S. (1999). The heuristic-systematic model in its broader context. In S. Chaiken & Y. Trope (Eds.), Dual-process theories in social psychology (pp. 73–96). The Guilford Press.
  • Chen, Z., & Lurie, N. H. (2013). Temporal contiguity and negativity bias in the impact of online word of mouth. Journal of Marketing Research, 50(4), 463–476. https://doi.org/10.1509/jmr.12.0063
  • Chevalier, J. A., & Mayzlin, D. (2006). The effect 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
  • Deveaud, R., SanJuan, E., & Bellot, P. (2014). Accurate and effective latent concept modeling for ad hoc information retrieval. Document numérique, 17(1), 61–84. https://doi.org/10.3166/dn.17.1.61-84
  • Eagly, A., & Chaiken, S. (1993). The Psychology of attitude. Harcourt, Brace, & Janovich.
  • Fang, B., Ye, Q., Kuckusta, D., & Law, R. (2016). Analysis of the perceived value of online tourism reviews: Influence of readability and reviewer characteristics. Tourism Management, 52, 498–506. https://doi.org/10.1016/j.tourman.2015.07.018
  • Fischer, M., Völckner, F., & Sattler, H. (2010). How important are brands? A cross-category, cross-country study. Journal of Marketing Research, 47(5), 823–839. https://doi.org/10.1509/jmkr.47.5.823
  • Fisher, M., Newman, G. E., Dhar, R., Johar, G., & van Osselaer, S. (2018). Seeing stars: How the binary bias distorts the interpretation of customer ratings. Journal of Consumer Research, 45(3), 471–489. https://doi.org/10.1093/jcr/ucy017
  • Fresneda, J. E., & Gefen, D. (2019). A semantic measure of online review helpfulness and the importance of message entropy. Decision Support Systems, 125, 113–117. https://doi.org/10.1016/j.dss.2019.113117
  • Goh, K. Y., Heng, C. S., & Lin, Z. (2013). Social media brand community and consumer behavior: Quantifying the relative impact of user-and marketer- generated content. Information Systems Research, 24(1), 88–107. https://doi.org/10.1287/isre.1120.0469
  • Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis. The Guilford Press.
  • Hayes, A. F., & Preacher, K. J. (2014). Statistical mediation analysis with a multicategorical independent variable. British Journal of Mathematical and Statistical Psychology, 67(3), 451–470. https://doi.org/10.1111/bmsp.12028
  • Hong, H., Xu, D., Wang, D. A., & Fan, W. (2017). Understanding the determinants of online review helpfulness: A meta-analytic investigation. Decision Support Systems, 102, 1–11. https://doi.org/10.1016/j.dss.2017.06.007
  • Hu, N., Koh, N. S., & Reddy, S. K. (2014). Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales. Decision Support Systems, 57, 42–53. https://doi.org/10.1016/j.dss.2013.07.009
  • Humphreys, A., Wang, R. J.-H., Fischer, E., & Price, L. (2017). Automated text analysis for consumer research. Journal of Consumer Research, 44(6), 1274–1306. https://doi.org/10.1093/jcr/ucx104
  • Jia, H., Shin, S., & Jiao, J. (2022). Does the length of a review matter in perceived helpfulness? The moderating role of product experience. Journal of Research in Interactive Marketing, 16(2), 221–236. https://doi.org/10.1108/JRIM-04-2020-0086
  • Kang, Y., & Zhou, L. (2016). Longer is better? A case study of product review helpfulness prediction. In Americas Conference of Information System 2016 Proceedings (Vol. 1). https://aisel.aisnet.org/amcis2016/Intel/Presentations/1
  • Khare, A., Labrecque, L. I., & Asare, A. K. (2011). The assimilative and contrastive effects of word-of-mouth volume: An experimental examination of online consumer ratings. Journal of Retailing, 87(1), 111–126. https://doi.org/10.1016/j.jretai.2011.01.005
  • Köcher, S., & Köcher, S. (2021). The mode heuristic in service consumers’ interpretations of online rating distributions. Journal of Service Research, 24(4), 582–600. https://doi.org/10.1177/10946705211012475
  • Kuhlthau, C. C. (1999). The role of experience in the information search process of an early career information worker: Perceptions of uncertainty, complexity, construction, and sources. Journal of the American Society for Information Science, 50(5), 399–412. https://doi.org/10.1002/(SICI)1097-4571(1999)50:5<399:AID-ASI3>3.0.CO;2-L
  • Lafreniere, K. C., Moore, S. G., & Fisher, R. J. (2022). The power of profanity: The meaning and impact of swear words in word of mouth. Journal of Marketing Research, 59(5), 908–925. https://doi.org/10.1177/00222437221078606
  • Lee, S., & Choeh, J. Y. (2016). The determinates of helpfulness of online reviews. Behaviour & Information Technology, 35(10), 853–863. https://doi.org/10.1080/0144929X.2016.1173099
  • Liu, Y., & Hu, H. (2021). Online review helpfulness: The moderating effects of review comprehensiveness. International Journal of Contemporary Hospitality Management, 33(2), 534–556. https://doi.org/10.1108/IJCHM-08-2020-0856
  • Ludwig, S., De Ruyter, K., Friedman, M., Brüggen, E. C., Wetzels, M., & Pfann, G. (2013). More than words: The influence of affective content and linguistic style matches in online consumer reviews on conversion rates. Journal of Marketing, 77(1), 87–103. https://doi.org/10.1509/jm.11.0560
  • Lutz, B., Pröllochs, N., & Neumann, D. (2022). Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation. Journal of Business Research, 144, 888–901. https://doi.org/10.1016/j.jbusres.2022.02.010
  • Lu, L., Wu, L., & He, Z. (2020). Is your restaurant worth the risk? A motivated perspective on reviews’ rating distribution and volume. Journal of Hospitality & Tourism Research, 44(8), 1291–1317. https://doi.org/10.1177/1096348020944537
  • Montaguti, E., Valentini, S., & Vecchioni, F. (2023). Content that engages your customers: The role of brand congruity and promotions in social media. Journal of Interactive Marketing, 58(1), 16–33. https://doi.org/10.1177/10949968221129817
  • Mudambi, S. M., & Schuff, D. (2010). What makes a helpful review? A study of customer reviews on Amazon com. MIS Quarterly, 34(1), 185–200. https://doi.org/10.2307/20721420
  • Pennebaker, J. W., Booth, R. J., & Francis, M. E. (2007). Linguistic inquiry and word count: LIWC [computer software]. Retrieved June 16, 2022, from from.
  • Roy, G., Datta, B., & Mukherjee, S. (2019). Role of electronic word-of-mouth content and valence in influencing online purchase behavior. Journal of Marketing Communications, 25(6), 661–684. https://doi.org/10.1080/13527266.2018.1497681
  • Schoenmueller, V., Netzer, O., & Stahl, F. (2020). The polarity of online reviews: Prevalence, drivers and implications. Journal of Marketing Research, 57(5), 853–877. https://doi.org/10.1177/0022243720941832
  • Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
  • Siering, M., Muntermann, J., & Rajagopalan, B. (2018). Explaining and predicting online review helpfulness: The role of content and reviewer-related signals. Decision Support System, 108, 1–12. https://doi.org/10.1016/j.dss.2018.01.004
  • Singh, J. P., Irani, S., Rana, N. R., Dwivedi, Y. K., Saumya, S., & Roy, P. K. (2017). Predicting the ‘helpfulness’ of online consumer reviews. Journal of Business Research, 70, 346–355. https://doi.org/10.1016/j.jbusres.2016.08.008
  • Statista. (2023, June 6). Sources of information about products in the U.S. as of March 2023 [graph]. In Statista. Retrieved August 10, 2023, from https://www-statista-com./forecasts/997051/sources-of-information-about-products-in-the-us
  • Sun, M. (2012). How does the variance of product ratings matter? Management Science, 58(4), 696–707. https://doi.org/10.1287/mnsc.1110.1458
  • Wang, Y. (2019). Want some help? How online reviews influence consumer decision making [ Doctoral thesis, Kent State University]. Kent State University ProQuest Dissertations Publishing. https://www.proquest.com/docview/2274702912
  • Wang, Y., & Kuchmaner, C. A. (2023). Revisiting online reviews: Signals of latent reviewer traits mediate the review length-helpfulness relationship. Journal of Marketing Theory & Practice, 1–16. https://doi.org/10.1080/10696679.2023.2196636
  • Willemsen, L. M., Neijens, P. C., Bronner, F., & de Ridder, J. A. (2011). ‘Highly recommended!’ The content characteristics and review usefulness of online consumer reviews. Journal of Computer-Mediated Communication, 17(1), 29–38. https://doi.org/10.1111/j.1083-6101.2011.01551.x
  • Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. MIT Press.
  • Wu, P. F. (2013). In search of negativity bias: An empirical study of perceived helpfulness of online consumer reviews. Psychology & Marketing, 30(11), 971–984. https://doi.org/10.1002/mar.20660
  • Wu, Y., & Wu, J. (2016). The impact of user review volume on consumers’ willingness-to-pay: A consumer uncertainty perspective. Journal of Interactive Marketing, 33, 43–56. https://doi.org/10.1016/j.intmar.2015.11.001
  • Yang, Z. J., Seo, M., Rickard, L. N., & Harrison, T. M. (2015). Information sufficiency and attribution of responsibility: Predicting support for climate change policy and pro-environmental behavior. Journal of Risk Research, 18(6), 727–746. https://doi.org/10.1080/13669877.2014.910692
  • Yoon, S.-J. (2018). Social-cultural-psychological perspectives on future word-of-mouth research. Journal of Global Scholars of Marketing Science, 28(2), 166–174. https://doi.org/10.1080/21639159.2018.1436979
  • Zhang, J. Q., Craciun, G., & Shin, D. (2010). When does electronic word-of-mouth matter? A study of consumer product reviews. Journal of Business Research, 63(12), 1336–1341. https://doi.org/10.1016/j.jbusres.2009.12.011

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.