Helpfulness of Online Product Reviews as Seen by Consumers: Source and Content Features

References

• Amblee, N., and Bui, T. Freeware downloads: An empirical investigation into the impact of expert and user review on demand for digital goods. In J. A. Hoxmeier and S. Hayne (eds.), Proceedings of the 13th Americas Conference on Information Systems. Atlanta: Association for Information Systems, 2007.
   Google Scholar
• Bach, G. R. Marathon group dynamics: II. Dimensions of helpfulness: Therapeutic aggression. Psychological Reports, 20 (June 1967), 1147-1158.
   Google Scholar
• Baek, H.; Ahn, J., and Choi, Y. Helpfulness of online consumer reviews: Readers' objectives and review cues. International Journal of Electronic Commerce, 17, 2 (winter 2012-13), 99-126.
   Google Scholar
• Bailey, A. A. Consumer awareness and use of product review websites. Journal of Interactive Advertising, 6, 1 (2005), 90-108.
   Google Scholar
• Benlian, A.; Titah, R.; and Hess, T. Differential effects of provider recommendations and consumer reviews in e-commerce transactions: An experimental study. Journal of Management Information Systems, 29, 1 (summer 2012), 237-272.
   Google Scholar
• Borgida, E., and Nisbett, R. E. The differential impact of abstract vs. concrete information on decisions. Journal of Applied Social Psychology, 7, 3 (1977), 258-271.
   Google Scholar
• Buda, R., and Zhang, Y. Consumer product evaluation: The interactive effect of message framing, presentation order, and source credibility. Journal of Product & Brand Management, 9, 4 (2000), 229-242.
   Google Scholar
• Callero, P. L.; Howard, J. A.; and Piliavin, J. A. Helping behavior as role behavior: Disclosing social structure and history in the analysis of prosocial action. Social Psychology Quarterly, 50, 3 (1987), 247-256.
   Google Scholar
• Cao, Q.; Duan, W.; and Gan, Q. Exploring determinants of voting for the "helpfulness" of online user reviews: A text mining approach. Decision Support Systems, 50, 2 (2011), 511-521.
   Google Scholar
• Cenfetelli, R. T., and Bassellier, G. Interpretation of formative measurement in information systems research. MIS Quarterly, 33, 4 (2009), 689-707.
   Google Scholar
• Chaiken, S. Heuristic versus systematic information processing and the use of source versus message cues in persuasion. Journal of Personality and Social Psychology, 39, 5 (1980), 752-766.
   Google Scholar
• Chaiken, S., and Maheswaran, D. Heuristic processing can bias systematic processing: Effects of source credibility, argument ambiguity, and task importance on attitude judgment. Journal of Personality and Social Psychology, 66, 3 (1994), 460-473.
   Google Scholar
• Chakravarti, A.; Janiszewski, C.; and Ulkumen, G. The neglect of prescreening information. Journal of Marketing Research, 43, 4 (2006), 642-653.
   Google Scholar
• Cheema, A., and Papatla, P. Relative importance of online versus offline information for internet purchases: Product category and Internet experience effects. Journal of Business Research, 63, 9/10 (2010), 979-985.
   Google Scholar
• Chen, S.; Duckworth, K.; and Chaiken, S. Motivated heuristic and systematic processing. Psychological Inquiry, 10, 1 (1999), 44-49.
   Google Scholar
• Cheung, M. Y.; Luo, C.; Sia, C. L.; and Chen, H. Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13, 4 (summer 2009), 9-38.
   Google Scholar
• 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, 23, 2 (fall 2006), 149-171.
   Google Scholar
• CNNIC (China Internet Network Information Center). Annual research report of China's online shopping market. Beijing, 2012 (available at www.51report.com
   Google Scholar
• Connors, L.; Mudambi, S. M.; and Schuff, D. Is it the review or the reviewer? A multi-method approach to determine the antecedents of online review helpfulness. In R. H. Sprague (ed.), Proceedings of the 44th Annual Hawaii International Conference on System Sciences. Los Alamitos, CA: IEEE Computer Society Press, 2011.
   Google Scholar
• Cooper, D. R., and Schindler, P. S. Business Research Methods, 11th ed. New York: McGraw-Hill/Irwin, 2010.
   Google Scholar
• Cui, G.; Lui, H.-K.; and Guo, X. The effect of online consumer reviews on new product sales. International Journal of Electronic Commerce, 17, 1 (fall 2012), 39-58.
   Google Scholar
• Danescu-Niculescu-Mizil, C.; Kossinets, G.; Kleinberg, J.; and Lee, L. How opinions are received by online communities: A case study on Amazon.com helpfulness votes. In J. Quemada, G. Leon, Y. Maarek, and W. Nejdl (eds.), Proceedings of the 18th International Conference on World Wide Web. New York: ACM Press, 2009, pp. 141-150.
   Google Scholar
• DeBono, K. G., and Harnish, R. J. Source expertise, source attractiveness, and the processing of persuasive information: A functional approach. Journal of Personality and Social Psychology, 55, 4 (1988), 541-546.
   Google Scholar
• Dellarocas, C.; Gao, G. G.; and Narayan, R. Are consumers more likely to contribute online reviews for hit or niche products? Journal of Management Information Systems, 27, 2 (fall 2010), 127-158.
   Google Scholar
• Dholakia, R. R., and Sternthal, B. Highly credible sources: Persuasive facilitators or persuasive liabilities? Journal of Consumer Research, 3, 4 (1977), 223-232.
   Google Scholar
• Duan, W.; Gu, B.; and Whinston, A. B. Do online reviews matter? An empirical investigation of panel data. Decision Support Systems, 45, 4 (2008), 1007-1016.
   Google Scholar
• Eagly, A. H., and Chaiken, S. Cognitive theories of persuasion. In L. Berkowitz (ed.), Advances in Experimental Social Psychology, vol. 17. Amsterdam: Elsevier, 1984, pp. 267-359.
   Google Scholar
• eMarketer. The role of customer product reviews. November 2, 2010 (available at www.emarketer.com/Article/Role-of-Customer-Product-Reviews/1008019/
   Google Scholar
• Forman, C.; Ghose, A.; and Wiesenfeld, B. Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Information Systems Research, 19, 3 (2008), 291-313.
   Google Scholar
• 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, 23, 10 (2010), 1498-1512.
   Google Scholar
• Gist, M. E. Self-efficacy: Implications for organizational behavior and human resource management. Academy of Management Review, 12, 3 (1987), 472-485.
   Google Scholar
• Hart-Davidson, W.; McLeod, M.; Klerkx, C.; and Wojcik, M. A method for measuring helpfulness in online peer review. In R. Fortes, J. Anacleto, and C. Costa (eds.), Proceedings of the 28th ACM International Conference on Design of Communication. New York: ACM Press, 2010, pp. 115-121.
   Google Scholar
• Haubl, G., and Trifts, V. Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Science, 19, 1 (2000), 4-21.
   Google Scholar
• 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, 17, 4 (1991), 454-462.
   Google Scholar
• Hoch, S. J., and Deighton, J. Managing what consumers learn from experience. Journal of Marketing, 53, 2 (1989), 1-20.
   Google Scholar
• Hu, N.; Liu, L.; and Zhang, J. J. Do online reviews affect product sales? The role of reviewer characteristics and temporal effects. Information Technology & Management, 9, 3 (2008), 201-214.
   Google Scholar
• Jain, S. P., and Posavac, S. S. Prepurchase attribute verifiability, source credibility, and persuasion. Journal of Consumer Psychology, 11, 3 (2001), 169-180.
   Google Scholar
• Jiang, Y., and Punj, G. N. The effects of attribute concreteness and prominence on selective processing, choice, and search experience. Journal of Academy of Marketing Science, 38 (2010), 471-489.
   Google Scholar
• Jiang, Z., and Benbasat, I. The effects of presentation methods and task complexity on online consumers' product understanding. MIS Quarterly, 31, 3 (2007), 475-500.
   Google Scholar
• Jiang, Z. and Benbasat, I. Investigating the influence of the functional mechanisms of online product presentations. Information Systems Research, 18, 4 (2007), 454-470.
   Google Scholar
• Jin, J., and Liu, Y. How to interpret the helpfulness of online product reviews: Bridging the needs between customers and designers. In J. C. Cortizo, F. M. Carrero, I. Cantador, J. A. Troyano, and P. Rosso (eds.), Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents. New York: ACM Press, 2010, pp. 87-94.
   Google Scholar
• Kleinmuntz, D. N., and Schkade, D. A. Information displays and decision processes. Psychological Science, 4, 4 (1993), 221-229.
   Google Scholar
• Kumar, N., and Benbasat, I. The influence of recommendations and consumer reviews on evaluations of websites. Information Systems Research, 17, 4 (2006), 425-439.
   Google Scholar
• Kwon, O., and Sung, Y. Shifting selves and product reviews: How the effects of product reviews vary depending on the self-views and self-regulatory goals of consumers. International Journal of Electronic Commerce, 17, 1 (fall 2012), 59-82.
   Google Scholar
• Li, M.; Tan, C.-H.; Wei, K.-K.; and Wang, K. Where to place product review? An information search process perspective. In M. Lacity, S. March, and F. Niederman (eds.), Proceedings of the 31st Annual International Conference on Information Systems. Atlanta: Association for Information Systems, 2010.
   Google Scholar
• Li, X., and Hitt, L. M. Self-selection and information role of online product reviews. Information Systems Research, 19, 4 (2008), 456-474.
   Google Scholar
• Li, X.; Hitt, L. M.; and Zhang, Z. J. Product reviews and competition in markets for repeat purchase products. Journal of Management Information Systems, 27, 4 (spring 2011), 9-42.
   Google Scholar
• Lim, K. H., and Benbasat, I. The effect of multimedia on perceived equivocality and perceived usefulness of information systems. MIS Quarterly, 24, 3 (2000), 449-471.
   Google Scholar
• Manz, C. C., and Sims, H. P. J. Vicarious learning: The influence of modeling on organizational behavior. Academy of Management Review, 6, 1 (1981), 105-113.
   Google Scholar
• Meyers-Levy, J., and Maheswaran, D. Exploring message framing outcomes when systematic, heuristic, or both types of processing occur. Journal of Consumer Psychology, 14, 1 & 2 (2004), 159-167.
   Google Scholar
• Mudambi, S. M., and Schuff, D. What makes a helpful online review? A study of customer reviews on amazon.com. MIS Quarterly, 34, 1 (2010), 185-200.
   Google Scholar
• Otterbacher, J. "Helpfulness" in online communities: A measure of message quality. In D. R. Olsen Jr., K. Hinckley, and M. R. Morris (eds.), Proceedings of the 27th International Conference on Human Factors in Computing Systems. New York: ACM Press, 2009, pp. 955-964.
   Google Scholar
• Pan, Y., and Zhang, J. Q. Born unequal: A study of the helpfulness of user-generated product reviews. Journal of Retailing, 87, 4 (2011), 598-612.
   Google Scholar
• 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, 11, 4 (summer 2007), 125-148.
   Google Scholar
• Pavlou, P., and Fygenson, M. Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30, 1 (2006), 115-143.
   Google Scholar
• Pavlou, P.; Liang, H.; and Xue, Y. Uncertainty and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly, 31, 1 (2007), 105-131.
   Google Scholar
• Pavlou, P. A., and Sawy, O. A. E. From IT leveraging competence to competitive advantage in turbulent environments: The case of new product development. Information Systems Research, 17, 3 (2006), 198-227.
   Google Scholar
• Petter, S.; Straub, D.; and Rai, A. Specifying formative constructs in information systems research. MIS Quarterly, 31, 4 (2007), 623-656.
   Google Scholar
• Petty, R. E., and Cacioppo, J. T. The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19, 1 (1986), 123-205.
   Google Scholar
• Riegner, C. Word of mouth on the Web: The impact of Web 2.0 on consumer purchase decisions. Journal of Advertising Research, 47, 4 (2007), 436-449.
   Google Scholar
• Sasaki, T.; Becker, D. V.; Janssen, M. A.; and Neel, R. Does greater product information actually inform consumer decisions? The relationship between product information quantity and diversity of consumer decisions. Journal of Economic Psychology, 32, 3 (2011), 391-398.
   Google Scholar
• Schindler, R. M., and Bickart, B. Perceived helpfulness of online consumer reviews: The role of message content and style. Journal of Consumer Behaviour, 11, 3 (2012), 234-243.
   Google Scholar
• Semin, G. R. Language puzzles: A prospective retrospective on the linguistic category model. Journal of Language and Social Psychology, 27, 2 (2008), 197-209.
   Google Scholar
• Semin, G. R., and Fiedler, K. The cognitive functions of linguistic categories in describing persons: Social cognition and language. Journal of Personality and Social Psychology, 54, 4 (1988), 558-568.
   Google Scholar
• Sen, S., and Lerman, D. Why are you telling me this? An examination into negative consumer reviews on the Web. Journal of Interactive Marketing, 21, 4 (2007), 76-96.
   Google Scholar
• Shafir, E.; Simonson, I.; and Tversky, A. Reason-based choice. Special issue: Reasoning and decision making. Cognition, 49, 2 (1993), 11-36.
   Google Scholar
• Shin, B., and Kim, G. Investigating the reliability of second-order formative measurement in information systems research. European Journal of Information Systems, 20 (2011), 608-623.
   Google Scholar
• Smith, S. P.; Johnston, R. B.; and Howard, S. Vicarious experience in retail e-commerce: An inductive taxonomy of product evaluation support features. Information Systems and e-Business Management, 3 (2005), 21-46.
   Google Scholar
• Stern, B. A revised communication model for advertising: Multiple dimensions of the source, message, and the recipient. Journal of Advertising, 23, 2 (1994), 5-15.
   Google Scholar
• Tan, C. H.; Teo, H. H.; and Benbasat, I. Assessing screening and evaluation decision support systems: A resource-matching approach. Information Systems Research, 21, 2 (2010), 305-326.
   Google Scholar
• Tsur, O., and Rappoport, A. Revrank: A fully unsupervised algorithm for selecting the most helpful book reviews. In E. Adar, M. Hurst, T. Finin, N. Glance, N. Nicolov, and B. Tseng (eds.), Proceedings of the 3rd International ICWSM Conference. Menlo Park, CA: AAAI Press, 2009, pp. 154-161.
   Google Scholar
• Wasko, M. M., and Faraj, S. Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29, 1 (2005), 35-57.
   Google Scholar
• Wilson, E. J., and Sherrell, D. L. Source effects in communication and persuasion research: A meta-analysis of effect size. Journal of Academy of Marketing Science, 21, 2 (1993), 101-112.
   Google Scholar
• Wood, S. L., and Lynch, J. G. Prior knowledge and complacency in new product learning. Journal of Consumer Research, 29, 3 (2002), 416-426.
   Google Scholar
• Xiong, W., and Litman, D. Understanding differences in perceived peer-review helpfulness using natural language processing. Paper presented at the Sixth Workshop on Innovative Use of NLP for Building Educational Applications, Portland, OR, 2011.
   Google Scholar
• Zhu, L.; Benbasat, I., and Jiang, Z. Let's shop online together: An empirical investigation of collaborative online shopping support. Information Systems Research, 21, 4 (2010), 872-891.
   Google Scholar