Identifying multidimensional effects of online reviews on consumers’ automobile purchase behaviours in China: linking observational learning with economic outcomes

References

• Abrahams, A. S., J. Jiao, G. A. Wang, and W. Fan. 2012. “Vehicle Defect Discovery from Social Media.” Decision Support Systems 54 (1): 87–97. doi:10.1016/j.dss.2012.04.005.
   Web of Science ®Google Scholar
• Archak, N., A. Ghose, and P. G. Ipeirotis. 2011. “Deriving the Pricing Power of Product Features by Mining Consumer Reviews.” Management science 57 (8): 1485–1509. doi:10.1287/mnsc.1110.1370.
   Web of Science ®Google Scholar
• Banerjee, A. 1992. “A Simple Model of Herd Behavior.” The Quarterly Journal of Economics 107 (3): 797–817. doi:10.2307/2118364.
   Web of Science ®Google Scholar
• Bikhchandani, S., D. Hirshleifer, and I. Welch. 1992. “A Theory of Fads, Fashion, Custom, and Cultural-Change as Informational Cascades.” The Journal of Political Economy 100 (5): 992–1026. doi:10.1086/261849.
   Web of Science ®Google Scholar
• Bleier, A., C. M. Harmeling, and R. W. Palmatier. 2019. “Creating Effective Online Customer Experiences.” Journal of Marketing 83 (2): 98–119. doi:10.1177/0022242918809930.
   Web of Science ®Google Scholar
• Cao, Q., W. Duan, and Q. Gan. 2011. “Exploring Determinants of Voting for the “Helpfulness” of Online User Reviews: A Text Mining Approach.” Decision Support Systems 50 (2): 511–521. doi:10.1016/j.dss.2010.11.009.
   Web of Science ®Google Scholar
• Chatterjee, P. 2001. “Online Reviews: Do Consumers Use Them?” In Advances in Consumer Research,Vol. 28, 129–133.
   Google Scholar
• Chen, Y., Q. Wang, and J. Xie. 2011. “Online Social Interactions: A Natural Experiment on Word of Mouth versus Observational Learning.” Journal of Marketing Research 48 (2): 238. doi:10.1509/jmkr.48.2.238.
   Web of Science ®Google Scholar
• Chitturi, R., R. Raghunathan, and V. Mahajan. 2007. “Form versus Function: How the Intensities of Specific Emotions Evoked in Functional versus Hedonic Trade-Offs Mediate Product Preferences.” Journal of Marketing Research 44 (4): 702–714. doi:10.1509/jmkr.44.4.702.
   Web of Science ®Google Scholar
• Chiu, C. M., E. T. Wang, Y. H. Fang, and H. Y. Huang. 2014. “Understanding Customers’ Repeat Purchase intentions in B2C E-Commerce: The Roles of Utilitarian Value, Hedonic Value and Perceived Risk.” Information Systems Journal 24 (1): 85–114. doi:10.1111/j.1365-2575.2012.00407.x.
   Web of Science ®Google Scholar
• Cui, G., H. K. Lui, and X. Guo. 2012. “The Effect of Online Consumer Reviews on New Product Sales.” International Journal of Electronic Commerce 17 (1): 39–57. doi:10.2753/JEC1086-4415170102.
   Web of Science ®Google Scholar
• Dellarocas, C., and N. F. Awad. 2007. “Exploring the Value of Online Product Reviews in Forecasting Sales: The Case of Motion Pictures.” Journal of Interactive Marketing 21 (4): 23–45. doi:10.1002/dir.20087.
   Web of Science ®Google Scholar
• Dholakia, R. R., and B. Sternthal. 1977. “Highly Credible Sources - Persuasive Facilitators or Persuasive Liabilities.” The Journal of Consumer Research 3 (4): 223–232. doi:10.1086/208671.
   Web of Science ®Google Scholar
• Duan, W., B. Gu, and A. B. Whinston. 2008a. “Do Online Reviews Matter? - an Empirical Investigation of Panel Data.” Decision Support Systems 45 (4): 1007–1016. doi:10.1016/j.dss.2008.04.001.
   Web of Science ®Google Scholar
• Duan, W., B. Gu, and A. B. Whinston. 2008b. “The Dynamics of Online Word-Of-Mouth and Product Sales: An Empirical Investigation of the Movie Industry.” Journal of Retailing 84 (2): 233–242. doi:10.1016/j.jretai.2008.04.005.
   Web of Science ®Google Scholar
• Feldman, J., and J. Lynch. 1988. “Self-Generated Validity and Other Effects of Measurement on Belief, Attitude, Intention, and Behavior.” The Journal of Applied Psychology 73 (3): 421–435. doi:10.1037/0021-9010.73.3.421.
   Web of Science ®Google Scholar
• Godes, D., and D. Mayzlin. 2004. “Using Online Conversations to Study Word-Of-Mouth Communication.” Marketing Science 23 (4): 545–560. doi:10.1287/mksc.1040.0071.
   Web of Science ®Google Scholar
• Greckhamer, T. 2016. “CEO Compensation in Relation to Worker Compensation Across Countries: The Configurational Impact of Country-Level Institutions.” Strategic Management Journal 37 (4): 793–815. doi:10.1002/smj.2370.
   Web of Science ®Google Scholar
• Gu, C., Z. Zhang, and Y. Hou. 2021. “Do We Always Follow Others? The Impact of Psychological Distance on Consumers’ Observational Learning Modes.” European Journal of Marketing 55 (10): 2569–2592. doi:10.1108/EJM-06-2019-0527.
   Web of Science ®Google Scholar
• Kahneman, D., and S. Frederick. 2004. “Attribute substitution in intuitive judgment”. In Models of a man: Essays in memory of Herbert . Simon, In edited by M. Augier, G. J. March, and H. A. Simon. Boston, USA: MIT press.
   Google Scholar
• Kim, M., S. Kim, and J. Lee. 2018. “Spatial Heterogeneity of Country-Of-Origin Effects Within a Country: Analysis of Online Review Ratings in the US Car Market.” Marketing letters 29 (2): 189–205. doi:10.1007/s11002-018-9451-z.
   Web of Science ®Google Scholar
• Kong, D., J. Yang, H. Duan, and S. Yang. 2020. “Helpfulness and Economic Impact of Multidimensional Rating Systems: Perspective of Functional and Hedonic Characteristics.” Journal of Consumer Behaviour 19 (1): 80–95. doi:10.1002/cb.1796.
   Web of Science ®Google Scholar
• Kordrostami, E., Y. Liu-Thompkins, and V. Rahmani. 2021. “Investigating the Influence of Regulatory Focus on the Efficacy of Online Review Volume versus Valence.” European Journal of Marketing 55 (1): 297–314. doi:10.1108/EJM-04-2019-0346.
   Web of Science ®Google Scholar
• Lee, J., D. H. Park, and I. Han. 2008. “The Effect of Negative Online Consumer Reviews on Product Attitude: An Information Processing View.” Electronic Commerce Research and Applications 7 (3): 341–352. doi:10.1016/j.elerap.2007.05.004.
   Web of Science ®Google Scholar
• Liu, Y. 2006. “Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue.” Journal of Marketing 70 (3): 74–89. doi:10.1509/jmkg.70.3.074.
   Web of Science ®Google Scholar
• Martin, J., and M. Norton. 2007. Choosing to Be Uncertain: Preferences for High Variance Experiences. Massachusetts: Harvard Business School, London Business School Trans-Atlantic Doctoral Conference, London.
   Google Scholar
• Park, D. H., and S. Kim. 2008. “The Effects of Consumer Knowledge on Message Processing of Electronic Word-Of-Mouth via Online Consumer Reviews.” Electronic Commerce Research and Applications 7 (4): 399–410. doi:10.1016/j.elerap.2007.12.001.
   Web of Science ®Google Scholar
• Ren, J., and J. Nickerson. 2019. “Arousal, Valence, and Volume: How the Influence of Online Review Characteristics Differs with Respect to Utilitarian and Hedonic Products.” European Journal of Information Systems 28 (3): 272–290. doi:10.1080/0960085X.2018.1524419.
   Web of Science ®Google Scholar
• Shahid Sameeni, M., W. Ahmad, and R. Filieri. 2022. “Brand Betrayal, Post-Purchase Regret, and Consumer Responses to Hedonic versus Utilitarian Products: The Moderating Role of Betrayal Discovery Mode.” Journal of Business Research 141: 137–150. doi:10.1016/j.jbusres.2021.12.019.
   Web of Science ®Google Scholar
• Sun, M. 2012. “How Does the Variance of Product Ratings Matter?” Management science 58 (4): 696–707. doi:10.1287/mnsc.1110.1458.
   Web of Science ®Google Scholar
• Sun, J., S. Song, D. House, and M. Kwon. 2019. “Role of Gender Differences on Individuals’ Responses to Electronic Word-Of-Mouth in Social Interactions.” Applied Economics 51 (28): 3001–3014. doi:10.1080/00036846.2018.1564015.
   Web of Science ®Google Scholar
• Thrane, C. 2018. “Do Expert Reviews Affect the Decision to See Motion Pictures in Movie Theatres? An Experimental Approach.” Applied Economics 50 (28): 3066–3075. doi:10.1080/00036846.2017.1414938.
   Web of Science ®Google Scholar
• Trope, Y., and N. Liberman. 2010. “Construal-Level Theory of Psychological Distance.” Psychological Review 117 (2): 440–463. doi:10.1037/a0018963.
   PubMed Web of Science ®Google Scholar
• Vujic, S., and X. Zhang. 2018. “Does Twitter Chatter Matter? Online Reviews and Box Office Revenues.” Applied Economics 50 (34–35): 3702–3717. doi:10.1080/00036846.2018.1436148.
   Web of Science ®Google Scholar
• Wang, F., M. Wang, Y. Wan, J. Jin, and Y. Pan. 2021. “The Power of Social Learning: How Do Observational and Word-Of-Mouth Learning Influence Online Consumer Decision Processes?” Information Processing & Management 58 (5): Article 102632. doi:10.1016/j.ipm.2021.102632
   Web of Science ®Google Scholar
• Wu, H., Z. Deng, B. Wang, and S. Gupta. 2021. “How Does Service Price Influence Patients’ Decisions? An Examination of the Free-Market Pricing Mechanism in Online Health Communities.” Electronic Markets 31 (4): 877–893. doi:10.1007/s12525-020-00453-0.
   Web of Science ®Google Scholar
• Wu, J., and E. A. A. Gaytán. 2013. “The Role of Online Seller Reviews and Product Price on Buyers’ Willingness-To-Pay:A Risk Perspective.” European Journal of Information Systems 22 (4): 416–433. doi:10.1057/ejis.2012.33.
   Web of Science ®Google Scholar
• Yang, P., and Q. Zhang. 2018. “How Pride Influences Product Evaluation Through Construal Level.” European Journal of Marketing 52 (7–8): 1750–1775. doi:10.1108/EJM-12-2016-0777.
   Web of Science ®Google Scholar