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Differential effects of analytical versus emotional rhetorical style on review helpfulness

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  • Moradi, Masoud
  • Dass, Mayukh
  • Kumar, Piyush

Abstract

This paper examines the interaction effect of analytical versus emotional rhetorical styles and overall ratings on the perceived helpfulness of product reviews on an e-commerce platform. Hypotheses derived from signaling theory regarding the nonlinear and interactive effects of these variables are tested using a zero-inflated negative binomial model with fixed effects. The results from the estimation of the model using a large sample of reviews from a hedonic and a utilitarian category suggest that analytical and emotional rhetorical devices have mutually opposing effects on helpfulness. While an analytical writing style increases the number of helpfulness votes a review receives, both positive and negative emotional tones reduce it. Further, readers perceive polarized ratings as more helpful, and an analytical style strengthens this effect while an emotional style weakens it. The results are consistent with signaling theory and suggest that an objective and analytical style serves as a strong signal about unobserved quality while an emotional style conflicts with the quality signal and reduces a review’s helpfulness.

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  • Moradi, Masoud & Dass, Mayukh & Kumar, Piyush, 2023. "Differential effects of analytical versus emotional rhetorical style on review helpfulness," Journal of Business Research, Elsevier, vol. 154(C).
    • Handle: RePEc:eee:jbrese:v:154:y:2023:i:c:s0148296322008268
    DOI: 10.1016/j.jbusres.2022.113361
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    References listed on IDEAS

    as
    1. Yan Zhang & Margarethe F. Wiersema, 2009. "Stock market reaction to CEO certification: the signaling role of CEO background," Strategic Management Journal, Wiley Blackwell, vol. 30(7), pages 693-710, July.
    2. Wang, Fang & Karimi, Sahar, 2019. "This product works well (for me): The impact of first-person singular pronouns on online review helpfulness," Journal of Business Research, Elsevier, vol. 104(C), pages 283-294.
    3. (Kay) Byun, Kyung-ah & Ma, Minghui & Kim, Kevin & Kang, Taeghyun, 2021. "Buying a New Product with Inconsistent Product Reviews from Multiple Sources: The Role of Information Diagnosticity and Advertising," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 81-103.
    4. Guha Majumder, Madhumita & Dutta Gupta, Sangita & Paul, Justin, 2022. "Perceived usefulness of online customer reviews: A review mining approach using machine learning & exploratory data analysis," Journal of Business Research, Elsevier, vol. 150(C), pages 147-164.
    5. Michael Spence, 2002. "Signaling in Retrospect and the Informational Structure of Markets," American Economic Review, American Economic Association, vol. 92(3), pages 434-459, June.
    6. Abhishek Tandon & Aakash Aakash & Anu G. Aggarwal & P. K. Kapur, 2021. "Analyzing the impact of review recency on helpfulness through econometric modeling," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(1), pages 104-111, February.
    7. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    8. Wang, Zheng & Wang, Lun & Ji, Ying & Zuo, Lulu & Qu, Shaojian, 2022. "A novel data-driven weighted sentiment analysis based on information entropy for perceived satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    9. M. Huang & A. D. Pape, 2020. "The Impact of Online Consumer Reviews on Online Sales: The Case-Based Decision Theory Approach," Journal of Consumer Policy, Springer, vol. 43(3), pages 463-490, September.
    10. Ganesh Iyer & V. Padmanabhan, 2006. "—Internet-Based Service Institutions," Marketing Science, INFORMS, vol. 25(6), pages 598-600, 11-12.
    11. Dezhi Yin & Sabyasachi Mitra & Han Zhang, 2016. "Research Note—When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth," Information Systems Research, INFORMS, vol. 27(1), pages 131-144, March.
    12. Bria Dunham, 2011. "The Role for Signaling Theory and Receiver Psychology in Marketing," Springer Books, in: Gad Saad (ed.), Evolutionary Psychology in the Business Sciences, pages 225-256, Springer.
    13. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type," Grenoble Ecole de Management (Post-Print) halshs-01923243, HAL.
    14. Meek, Stephanie & Wilk, Violetta & Lambert, Claire, 2021. "A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews," Journal of Business Research, Elsevier, vol. 125(C), pages 354-367.
    15. Christopher P. Furner & Robert A. Zinko, 2017. "The influence of information overload on the development of trust and purchase intention based on online product reviews in a mobile vs. web environment: an empirical investigation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 211-224, August.
    16. Eroglu, Sevgin A. & Machleit, Karen A. & Davis, Lenita M., 2001. "Atmospheric qualities of online retailing: A conceptual model and implications," Journal of Business Research, Elsevier, vol. 54(2), pages 177-184, November.
    17. Gerrit K.C. Ahlers & Douglas Cumming & Christina Günther & Denis Schweizer, 2015. "Signaling in Equity Crowdfunding," Entrepreneurship Theory and Practice, , vol. 39(4), pages 955-980, July.
    18. Ismagilova, Elvira & Dwivedi, Yogesh K. & Slade, Emma, 2020. "Perceived helpfulness of eWOM: Emotions, fairness and rationality," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    19. Yani Wang & Jun Wang & Tang Yao, 2019. "What makes a helpful online review? A meta-analysis of review characteristics," Electronic Commerce Research, Springer, vol. 19(2), pages 257-284, June.
    20. Hengchen Dai & Cindy Chan & Cassie Mogilner & Darren W. Dahl & Margaret C. Campbell & Cait Lamberton, 2020. "People Rely Less on Consumer Reviews for Experiential than Material Purchases [The Role of (Dis)Similarity in (Mis)Predicting Others’ Preferences]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(6), pages 1052-1075.
    21. John, Kose & Lang, Larry H P, 1991. "Insider Trading around Dividend Announcements: Theory and Evidence," Journal of Finance, American Finance Association, vol. 46(4), pages 1361-1389, September.
    22. Kate MacKrill & Connor Silvester & James W. Pennebaker & Keith J. Petrie, 2021. "What makes an idea worth spreading? Language markers of popularity in TED talks by academics and other speakers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(8), pages 1028-1038, August.
    23. Sam Ransbotham & Nicholas H. Lurie & Hongju Liu, 2019. "Creation and Consumption of Mobile Word of Mouth: How Are Mobile Reviews Different?," Marketing Science, INFORMS, vol. 38(5), pages 773-792, September.
    24. Yoon-Joo Park, 2018. "Predicting the Helpfulness of Online Customer Reviews across Different Product Types," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    25. Zhenhui Jiang & Izak Benbasat, 2007. "Research Note---Investigating the Influence of the Functional Mechanisms of Online Product Presentations," Information Systems Research, INFORMS, vol. 18(4), pages 454-470, December.
    26. Srivastava, Vartika & Kalro, Arti D., 2019. "Enhancing the Helpfulness of Online Consumer Reviews: The Role of Latent (Content) Factors," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 33-50.
    27. Cheng, Yi-Hsiu & Ho, Hui-Yi, 2015. "Social influence's impact on reader perceptions of online reviews," Journal of Business Research, Elsevier, vol. 68(4), pages 883-887.
    28. Zhu, Yongmin & Liu, Miaomiao & Zeng, Xiaohua & Huang, Pei, 2020. "The effects of prior reviews on perceived review helpfulness: A configuration perspective," Journal of Business Research, Elsevier, vol. 110(C), pages 484-494.
    29. Bart de Langhe & Philip M. Fernbach & Donald R. Lichtenstein, 2016. "Navigating by the Stars: Investigating the Actual and Perceived Validity of Online User Ratings," Journal of Consumer Research, Oxford University Press, vol. 42(6), pages 817-833.
    30. Yanli Jia & Ivy L.B. Liu, 2018. "Do consumers always follow “useful” reviews? The interaction effect of review valence and review usefulness on consumers' purchase decisions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(11), pages 1304-1317, November.
    31. Monic Sun, 2012. "How Does the Variance of Product Ratings Matter?," Management Science, INFORMS, vol. 58(4), pages 696-707, April.
    32. Huang, Guanxiong & Liang, Hai, 2021. "Uncovering the effects of textual features on trustworthiness of online consumer reviews: A computational-experimental approach," Journal of Business Research, Elsevier, vol. 126(C), pages 1-11.
    33. Stremersch, Stefan & Camacho, Nuno & Vanneste, Sofie & Verniers, Isabel, 2015. "Unraveling scientific impact: Citation types in marketing journals," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 64-77.
    34. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    35. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    36. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type," Post-Print hal-03511272, HAL.
    37. Pan, Yue & Zhang, Jason Q., 2011. "Born Unequal: A Study of the Helpfulness of User-Generated Product Reviews," Journal of Retailing, Elsevier, vol. 87(4), pages 598-612.
    38. Norbert Steigenberger & Hendrik Wilhelm, 2018. "Extending Signaling Theory to Rhetorical Signals: Evidence from Crowdfunding," Organization Science, INFORMS, vol. 29(3), pages 529-546, June.
    39. Zhang, Jason Q. & Craciun, Georgiana & Shin, Dongwoo, 2010. "When does electronic word-of-mouth matter? A study of consumer product reviews," Journal of Business Research, Elsevier, vol. 63(12), pages 1336-1341, December.
    40. Francesca Valsesia & Kristin Diehl, 2022. "Let Me Show You What I Did versus What I Have: Sharing Experiential versus Material Purchases Alters Authenticity and Liking of Social Media Users [How Extraverted Is Honey.bunny77@Hotmail.de? Infe," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 49(3), pages 430-449.
    41. Ravid, S. Abraham & Sarig, Oded H., 1991. "Financial Signalling by Committing to Cash Outflows," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 26(2), pages 165-180, June.
    42. Sparks, Beverley A. & Browning, Victoria, 2011. "The impact of online reviews on hotel booking intentions and perception of trust," Tourism Management, Elsevier, vol. 32(6), pages 1310-1323.
    43. Anthony D. Miyazaki & Dhruv Grewal & Ronald C. Goodstein, 2005. "The Effect of Multiple Extrinsic Cues on Quality Perceptions: A Matter of Consistency," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(1), pages 146-153, June.
    44. Raffaele Filieri & Elisabetta Raguseo & Claudio Vitari, 2018. "When are extreme ratings more helpful? Empirical evidence on the moderating effects of review characteristics and product type," Post-Print halshs-01923243, HAL.
    45. Wm. Gerard Sanders & Steven Boivie, 2004. "Sorting things out: valuation of new firms in uncertain markets," Strategic Management Journal, Wiley Blackwell, vol. 25(2), pages 167-186, February.
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