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Original Articles

In authority, or peers we trust? Reviews and recommendations in social commerce

ORCID Icon & ORCID Icon
Pages 2887-2904 | Received 12 Aug 2020, Accepted 13 Jul 2021, Published online: 29 Jul 2021

References

  • Ahmad, S. N., and M. Laroche. 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.
  • Ahmad, S., and M. Laroche. 2017. “Analyzing Electronic Word of Mouth: A Social Commerce Construct.” International Journal of Information Management 37 (3): 202–213.
  • Babić Rosario, A., F. Sotgiu, K. De Valck, and T. H. A. Bijmolt. 2016. “The Effect of Electronic Word of Mouth on Sales: A Meta-Analytic Review of Platform.” Product, and Metric Factors. Journal of Marketing Research 53 (3): 297–318.
  • Bao, T., and T. S. Chang. 2014. “Why Amazon Uses Both the New York Times Best Seller List and Customer Reviews: An Empirical Study of Multiplier Effects on Product Sales from Multiple Earned Media.” Decision Support Systems 67: 1–8.
  • Bao, Y., and A. Datta. 2014. “Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures.” Management Science 60 (6): 1371–1391.
  • Barnett, M., and M. Finnemore. 2004. Rules for the World: International Organizations in Global Politics. Ithaca, NY: Cornell University Press.
  • Benlian, A., R. Titah, and T. Hess. 2012. “Differential Effects of Provider Recommendations and Consumer Reviews in E-commerce Transactions: An Experimental Study.” Journal of Management Information Systems 29 (1): 237–272.
  • Bettman, J. R., and M. Sujan. 1987. “Effects of Framing on Evaluation of Comparable and Noncomparable Alternatives by Expert and Novice Consumers.” Journal of Consumer Research 14 (2): 141–154.
  • Blei, D. M., A. Y. Ng, and M. I. Jordan. 2003. “Latent Dirichlet Allocation.” Journal of Machine Learning Research 3 (Jan): 993–1022.
  • BrightLocal. 2018. “Local Consumer Review Survey 2018.” https://www.brightlocal.com/learn/local-consumer-review-survey/?SSAID=314743&SSCID=11k3_tinvn
  • Brohman, K., R. Watson, G. Piccoli, and A. Parasuraman. 2003. “Data Completeness: A Key to Effective Net-Based Customer Service Systems.” Communications of the ACM 46 (6): 47–51.
  • Brookes, G., and T. McEnery. 2019. “The Utility of Topic Modelling for Discourse Studies: A Critical Evaluation.” Discourse Studies 21 (1): 3–21.
  • Busalim, A. H. 2016. “Understanding Social Commerce: A Systematic Literature Review and Directions for Further Research.” International Journal of Information Management 36 (6): 1075–1088.
  • Cabrera, A., and E. F. Cabrera. 2002. “Knowledge-Sharing Dilemmas.” Organization Studies 23 (5): 687–710.
  • Campbell, J. L., H. Chen, D. S. Dhaliwal, H. M. Lu, and L. B. Steele. 2014. “The Information Content of Mandatory Risk Factor Disclosures in Corporate Filings.” Review of Accounting Studies 19 (1): 396–455.
  • Campbell, C., L. F. Pitt, M. Parent, and P. R. Berthon. 2011. “Understanding Consumer Conversations Around Ads in a Web 2.0 World.” Journal of Advertising 40 (1): 87–102.
  • 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.
  • Carraro, V., and H. Jongen. 2018. “Leaving the Doors Open or Keeping Them Closed? The Impact of Transparency on the Authority of Peer Reviews in International Organizations.” Global Governance: A Review of Multilateralism and International Organizations 24 (4): 615–635.
  • Casaló, L. V., C. Flavián, M. Guinalíu, and Y. Ekinci. 2015. “Avoiding the Dark Side of Positive Online Consumer Reviews: Enhancing Reviews’ Usefulness for High Risk-Averse Travelers.” Journal of Business Research 68 (9): 1829–1835.
  • Chase, R. B. 1978. “Where Does the Customer Fit in a Service Operation?” Harvard Business Review 56 (6): 137–142.
  • Chen, Y., and J. Xie. 2008. “Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix.” Management Science 54 (3): 477–491.
  • Chetioui, Y., I. Butt, and H. Lebdaoui. 2021. “Facebook Advertising, eWOM and Consumer Purchase Intention-Evidence from a Collectivistic Emerging Market.” Journal of Global Marketing 34 (3): 1–18.
  • Chevalier, J. A., and D. Mayzlin. 2006. “The Effect of Word of Mouth on Sales: Online Book Reviews.” Journal of Marketing Research 43 (3): 345–354.
  • Chintagunta, P. K., S. Gopinath, and S. Venkataraman. 2010. “The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets.” Marketing Science 29 (5): 944–957.
  • Chiu, Y.-L., K.-H. Chen, J.-N. Wang, and Y.-T. Hsu. 2019. “The Impact of Online Movie Word-of-Mouth on Consumer Choice: A Comparison of American and Chinese Consumers.” International Marketing Review 36 (6): 996–1025.
  • Chu, S.-C., and Y. Kim. 2011. “Determinants of Consumer Engagement in Electronic Word-of-Mouth (eWOM) in Social Networking Sites.” International Journal of Advertising 30 (1): 47–75.
  • Clemons, E. K., G. G. Gao, and L. M. Hitt. 2006. “When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry.” Journal of Management Information Systems 23 (2): 149–171.
  • Consumer Reports. 2019. Consumer Reports. www.consumerreports.org
  • Conzelmann, T., and H. Jongen. 2015. “The Power of the Peers: Assessing the Authority of Peer Reviews in Curbing Corruption.”
  • Danniswara, R., P. Sandhyaduhita, and Q. Munajat. 2017. “The Impact of EWOM Referral, Celebrity Endorsement, and Information Quality on Purchase Decision: A Case of Instagram.” Information Resources Management Journal (IRMJ) 30 (2): 23–43. doi:10.4018/IRMJ.2017040102.
  • Dellaert, B. G. C., and G. Häubl. 2012. “Searching in Choice Mode: Consumer Decision Processes in Product Search with Recommendations.” Journal of Marketing Research 49 (2): 277–288.
  • Dennis, S., T. Landauer, W. Kintsch, and J. Quesada. 2003. “Introduction to Latent Semantic Analysis.” 25th Annual Meeting of the Cognitive Science Society, Boston, MA.
  • Dinulescu, C. C., L. L. Visinescu, and V. R. Prybutok. 2018. “Proactive Management of Customer Relationship Quality: an Empirical Investigation of Mobile Phone Companies.” Journal of Decision Systems 27 (3): 187–211.
  • Dredze, M., H. M. Wallach, D. Puller, and F. Pereira. 2008. “Generating Summary Keywords for Emails Using Topics.” In Proceedings of the 13th International Conference on Intelligent User Interfaces, 199–206. New York: Association for Computing Machinery (ACM).
  • Duhan, D. F., S. D. Johnson, J. B. Wilcox, and G. D. Harrell. 1997. “Influences on Consumer use of Word-of-Mouth Recommendation Sources.” Journal of the Academy of Marketing Science 25 (4): 283–295.
  • Erkan, I., and C. Evans. 2016. “The Influence of eWOM in Social Media on Consumers’ Purchase Intentions: An Extended Approach to Information Adoption.” Computers in Human Behavior 61: 47–55.
  • Fruth, A., and M. Neacsu. 2014. “Online Consumer Reviews as Marketing Instrument.” Knowledge Horizons. Economics 6 (3): 128.
  • Ghayad, R., M. Cragg, and F. Pinter. 2016. “Elections and the Economy: What to do About Recessions?” The Economists’ Voice 13 (1): 9–25.
  • Graham, S., S. Weingart, and I. Milligan. 2012. “Getting Started with Topic Modeling and MALLET.” The Programming Historian 1. doi:10.46430/phen0017.
  • Gupta, A., N. Dhiman, A. Yousaf, and N. Arora. 2020. “Social Comparison and Continuance Intention of Smart Fitness Wearables: an Extended Expectation Confirmation Theory Perspective.” Behaviour & Information Technology, 1–14. doi:10.1080/0144929X.2020.1748715.
  • Hajli, M. N. 2014a. “A Study of the Impact of Social Media on Consumers.” International Journal of Market Research 56 (3): 387–404.
  • Hajli, M. N. 2014b. “The Role of Social Support on Relationship Quality and Social Commerce.” Technological Forecasting and Social Change 87: 17–27.
  • Hajli, N., X. Lin, M. Featherman, and Y. Wang. 2014. “Social Word of Mouth: How Trust Develops in the Market.” International Journal of Market Research 56 (5): 673–689.
  • Hajli, N., and J. Sims. 2015. “Social Commerce: The Transfer of Power from Sellers to Buyers.” Technological Forecasting and Social Change 94: 350–358.
  • Häubl, G., and V. Trifts. 2000. “Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids.” Marketing Science 19 (1): 4–21.
  • Holbrook, M. B., and M. Addis. 2007. “Taste Versus the Market: An Extension of Research on the Consumption of Popular Culture.” Journal of Consumer Research 34 (3): 415–424.
  • Huang, L., C.-H. Tan, W. Ke, and K.-K. Wei. 2013. “Comprehension and Assessment of Product Reviews: A Review-Product Congruity Proposition.” Journal of Management Information Systems 30 (3): 311–343.
  • IDC. 2017. Global ICT Spending.
  • Indrakumari, R., T. Poongodi, P. Suresh, and B. Balamurugan. 2020. “The Growing Role of Internet of Things in Healthcare Wearables.” In Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach, 163–194. Cambridge, MA: Academic Press (Elsevier).
  • Jacobsen, M., T. A. Dembek, G. Kobbe, P. W. Gaidzik, and L. Heinemann. 2021. “Noninvasive Continuous Monitoring of Vital Signs with Wearables: fit for Medical use?” Journal of Diabetes Science and Technology 15 (1): 34–43.
  • Kang, Y.-S., and P. M. Herr. 2006. “Beauty and the Beholder: Toward an Integrative Model of Communication Source Effects.” Journal of Consumer Research 33 (1): 123–130.
  • Keh, H. T., and J. Sun. 2018. “The Differential Effects of Online Peer Review and Expert Review on Service Evaluations: The Roles of Confidence and Information Convergence.” Journal of Service Research 21 (4): 474–489.
  • Kellogg, D. L., and R. B. Chase. 1995. “Constructing an Empirically Derived Measure for Customer Contact.” Management Science 41 (11): 1734–1749.
  • Kim, H.-C., and Z. Zhu. 2020. “The Moderating Role of Acculturation in Fostering Young Chinese Moviegoers’ Sustainable e-WOM Behaviour in Korea.” Behaviour & Information Technology, 1–12. doi:10.1080/0144929X.2020.1773926.
  • Kravet, T., and V. Muslu. 2013. “Textual Risk Disclosures and Investors’ Risk Perceptions.” Review of Accounting Studies 18 (4): 1088–1122.
  • Lake, D. A. 2009. “Relational Authority and Legitimacy in International Relations.” American Behavioral Scientist 53 (3): 331–353.
  • Lee, Sangjae, and J. Y. Choeh. 2016. “The Determinants of Helpfulness of Online Reviews.” Behaviour & Information Technology 35 (10): 853–863.
  • Lee, Sangno, J. Song, and Y. Kim. 2010. “An Empirical Comparison of Four Text Mining Methods.” Journal of Computer Information Systems 51 (1): 1–10.
  • Lin, Z. 2014. “An Empirical Investigation of User and System Recommendations in E-commerce.” Decision Support Systems 68: 111–124.
  • Liu, Y. 2006. “Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue.” Journal of Marketing 70 (3): 74–89.
  • Mackiewicz, J. 2008. “Reviewer Motivations, Bias, and Credibility in Online Reviews.” In Handbook of Research on Computer Mediated Communication, 252–266. Hershey, PA: IGI Global.
  • Mackiewicz, J. 2010. “Assertions of Expertise in Online Product Reviews.” Journal of Business and Technical Communication 24 (1): 3–28.
  • Manganari, E. E., and E. Dimara. 2017. “Enhancing the Impact of Online Hotel Reviews Through the Use of Emoticons.” Behaviour & Information Technology 36 (7): 674–686.
  • Mikalef, P., M. N. Giannakos, and I. O. Pappas. 2017. “Designing Social Commerce Platforms Based on Consumers’ Intentions.” Behaviour & Information Technology 36 (12): 1308–1327.
  • Mudambi, S. M., and D. Schuff. 2010. “Research Note: What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com.” MIS Quarterly 34 (1): 185.
  • Pavlou, P. A., and A. Dimoka. 2006. “The Nature and Role of Feedback Text Comments in Online Marketplaces: Implications for Trust Building, Price Premiums, and Seller Differentiation.” Information Systems Research 17 (4): 392–414.
  • Reinstein, D. A., and C. M. Snyder. 2005. “The Influence of Expert Reviews on Consumer Demand for Experience Goods: A Case Study of Movie Critics.” The Journal of Industrial Economics 53 (1): 27–51.
  • Sampson, S. E., and R. B. Chase. 2020. “Customer Contact in a Digital World.” Journal of Service Management 31 (6): 1061–1069. doi:10.1108/JOSM-12-2019-0357.
  • Sbalchiero, S., and M. Eder. 2020. “Topic Modeling, Long Texts and the Best Number of Topics. Some Problems and Solutions.” Quality & Quantity, 54: 1095–1108. doi:10.1007/s11135-020-00976-w.
  • Shmueli, G., P. C. Bruce, P. Gedeck, and N. R. Patel. 2019. Data Mining for Business Analytics: Concepts, Techniques and Applications in Python. Hoboken, NJ: John Wiley & Sons.
  • Spence, M. T., and M. Brucks. 1997. “The Moderating Effects of Problem Characteristics on Experts’ and Novices’ Judgments.” Journal of Marketing Research 34 (2): 233–247.
  • Stavrianou, A., and C. Brun. 2015. “Expert Recommendations Based on Opinion Mining of User-Generated Product Reviews.” Computational Intelligence 31 (1): 165–183.
  • Vargo, S. L., and R. F. Lusch. 2004. “Evolving to a New Dominant Logic for Marketing.” Journal of Marketing 68 (1): 1–17. doi:10.1509/jmkg.68.1.1.24036.
  • Wallis, J., J. Burns, and R. Capdevila. 2009. “Q Methodology and a Delphi Poll: A Useful Approach to Researching a Narrative Approach to Therapy.” Qualitative Research in Psychology 6 (3): 173–190.
  • Walsh, G., K. P. Gwinner, and S. R. Swanson. 2004. “What Makes Mavens Tick? Exploring the Motives of Market Mavens’.” initiation of Information Diffusion. Journal of Consumer Marketing 21 (2): 109–122.
  • Wang, J.-J., L.-Y. Wang, and M.-M. Wang. 2018. “Understanding the Effects of eWOM Social Ties on Purchase Intentions: A Moderated Mediation Investigation.” Electronic Commerce Research and Applications 28: 54–62.
  • Westland, J. C. 2015. “Editorial: The Golden Age of Consumer Research.” Electronic Commerce Research 15 (3): 297–299.
  • Willemsen, L. M., P. C. Neijens, and F. Bronner. 2012. “The Ironic Effect of Source Identification on the Perceived Credibility of Online Product Reviewers.” Journal of Computer-Mediated Communication 18 (1): 16–31.
  • Williams, T., and J. Betak. 2018. “A Comparison of LSA and LDA for the Analysis of Railroad Accident Text.” Procedia Computer Science 130 (C): 98–102.
  • Wolny, J., and C. Mueller. 2013. “Analysis of Fashion Consumers’ Motives to Engage in Electronic Word-of-Mouth Communication Through Social Media Platforms.” Journal of Marketing Management 29 (5–6): 562–583.
  • Zhang, J., G. Craciun, and D. Shin. 2010. “When Does Electronic Word-of-Mouth Matter? A Study of Consumer Product Reviews.” Journal of Business Research 63 (12): 1336–1341.
  • Zhou, W., and W. Duan. 2015. “An Empirical Study of How Third-Party Websites Influence the Feedback Mechanism Between Online Word-of-Mouth and Retail Sales.” Decision Support Systems 76: 14–23.

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