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Discrete Dynamics in Nature and Society
Volume 2016 (2016), Article ID 9354519, 19 pages
http://dx.doi.org/10.1155/2016/9354519
Research Article

Exploring Determinants of Attraction and Helpfulness of Online Product Review: A Consumer Behaviour Perspective

1School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731, China
2Department of Management, University of Bristol, Bristol BS8 1TZ, UK

Received 8 August 2016; Accepted 5 October 2016

Academic Editor: Francisco R. Villatoro

Copyright © 2016 Xu Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. X. Chen, X. Wang, and X. Jiang, “The impact of power structure on the retail service supply chain with an O2O mixed channel,” Journal of the Operational Research Society, vol. 67, no. 2, pp. 294–301, 2016. View at Publisher · View at Google Scholar · View at Scopus
  2. X. Wang, L. White, and X. Chen, “Big data research for the knowledge economy: past, present, and future,” Industrial Management & Data Systems, vol. 115, no. 9, pp. 1566–1576, 2015. View at Publisher · View at Google Scholar
  3. A. E. Schlosser, “Can including pros and cons increase the helpfulness and persuasiveness of online reviews? The interactive effects of ratings and arguments,” Journal of Consumer Psychology, vol. 21, no. 3, pp. 226–239, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. Q. Cao, W. Duan, and Q. Gan, “Exploring determinants of voting for the ‘helpfulness’ of online user reviews: a text mining approach,” Decision Support Systems, vol. 50, no. 2, pp. 511–521, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. P. Y. Chen, S. Dhanasobhon, and M. D. Smith, All reviews are not created equal: The disaggregate impact of reviews and reviewers at Amazon.com, 2008, http://ssrn.com/ abstract=918083.
  6. S. M. Mudambi and D. Schuff, “What makes a helpful review? A study of customer reviews on Amazon.com,” MIS Quarterly, vol. 34, no. 1, pp. 185–200, 2010. View at Google Scholar
  7. L. Peng, Q. H. Zhou, and J. T. Qiu, “Research on the model of helpfulness factors of online customer reviews,” Computer Science, vol. 38, no. 8, pp. 205–244, 2011. View at Google Scholar
  8. C. Dellarocas, X. M. Zhang, and N. F. Awad, “Exploring the value of online product reviews in forecasting sales: the case of motion pictures,” Journal of Interactive Marketing, vol. 21, no. 4, pp. 23–45, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. S. M. Kim, P. Pantel, T. Chklovski, and M. Pennacchiotti, “Automatically assessing review helpfulness,” in Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP '06), pp. 423–430, Association for Computational Linguistics, 2006.
  10. C. Forman, A. Ghose, and B. Wiesenfeld, “Examining the relationship between reviews and sales: the role of reviewer identity disclosure in electronic markets,” Information Systems Research, vol. 19, no. 3, pp. 291–313, 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. A. Ghose and P. G. Ipeirotis, “Designing novel review ranking systems: predicting the usefulness and impact of reviews,” in Proceedings of the 9th International Conference on Electronic Commerce, pp. 303–310, ACM, August 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. H. Baek, J. Ahn, and Y. Choi, “Helpfulness of online consumer reviews: readers' objectives and review cues,” International Journal of Electronic Commerce, vol. 17, no. 2, pp. 99–126, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. T. L. Ngo-Ye and A. P. Sinha, “The influence of reviewer engagement characteristics on online review helpfulness: a text regression model,” Decision Support Systems, vol. 61, no. 1, pp. 47–58, 2014. View at Publisher · View at Google Scholar · View at Scopus
  14. G. Q. Guo, K. Chen, and F. He, “An empirical study on the influence of perceived credibility of online consumer reviews,” Contemporary Economy and Management, vol. 32, no. 10, pp. 17–23, 2010. View at Google Scholar
  15. S. Krishnamoorthy, “Linguistic features for review helpfulness prediction,” Expert Systems with Applications, vol. 42, no. 7, pp. 3751–3759, 2015. View at Publisher · View at Google Scholar · View at Scopus
  16. Y. Y. Hao, Q. Ye, and Y. J. Li, “Research on online impact factors of customer review usefulness based on movie reviews data,” Journal of Management Science in China, vol. 13, no. 8, pp. 78–96, 2010. View at Google Scholar
  17. C. H. Sun, Research on the impact of sentiment expression on consumer perception of online reviews helpfulness [Ph.D. thesis], HeFei University of Technology. Retrieved from CNKI, 2012.
  18. M. Sun, “How does the variance of product ratings matter?” Management Science, vol. 58, no. 4, pp. 696–707, 2012. View at Publisher · View at Google Scholar · View at Scopus
  19. H. K. Chan, X. Wang, E. Lacka, and M. Zhang, “A mixed-method approach to extracting the value of social media data,” Production and Operations Management, vol. 25, no. 3, pp. 568–583, 2016. View at Publisher · View at Google Scholar
  20. Y.-H. Cheng and H.-Y. Ho, “Social influence's impact on reader perceptions of online reviews,” Journal of Business Research, vol. 68, no. 4, pp. 883–887, 2015. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Godes and D. Mayzlin, “Using online conversations to study word-of-mouth communication,” Marketing Science, vol. 23, no. 4, pp. 545–560, 2004. View at Publisher · View at Google Scholar · View at Scopus
  22. T. Hennig-Thurau, K. P. Gwinner, G. Walsh, and D. D. Gremler, “Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the Internet?” Journal of Interactive Marketing, vol. 18, no. 1, pp. 38–52, 2004. View at Publisher · View at Google Scholar · View at Scopus
  23. Y. Chen and J. Xie, “Online consumer review: word-of-mouth as a new element of marketing communication mix,” Management Science, vol. 54, no. 3, pp. 477–491, 2008. View at Publisher · View at Google Scholar · View at Scopus
  24. S. Utz, P. Kerkhof, and J. Van Den Bos, “Consumers rule: how consumer reviews influence perceived trustworthiness of online stores,” Electronic Commerce Research and Applications, vol. 11, no. 1, pp. 49–58, 2012. View at Publisher · View at Google Scholar · View at Scopus
  25. L. Y. Jin, “The effects of online WOM information on consumer purchase decision: an experimental study,” Economic Management, vol. 29, no. 22, pp. 36–42, 2007. View at Google Scholar
  26. I. E. Vermeulen and D. Seegers, “Tried and tested: the impact of online hotel reviews on consumer consideration,” Tourism Management, vol. 30, no. 1, pp. 123–127, 2009. View at Publisher · View at Google Scholar · View at Scopus
  27. J. A. Chevalier and D. Mayzlin, “The effect of word of mouth on sales: online book reviews,” Journal of Marketing Research, vol. 43, no. 3, pp. 345–354, 2006. View at Publisher · View at Google Scholar · View at Scopus
  28. J. Berger, A. T. Sorensen, and S. J. Rasmussen, “Positive effects of negative publicity: when negative reviews increase sales,” Marketing Science, vol. 29, no. 5, pp. 815–827, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. J. Lee, D.-H. Park, and I. Han, “The effect of negative online consumer reviews on product attitude: an information processing view,” Electronic Commerce Research and Applications, vol. 7, no. 3, pp. 341–352, 2008. View at Publisher · View at Google Scholar · View at Scopus
  30. H. Wang and W. Wang, “Product weakness finder: an opinion-aware system through sentiment analysis,” Industrial Management and Data Systems, vol. 114, no. 8, pp. 1301–1320, 2014. View at Publisher · View at Google Scholar · View at Scopus
  31. Y. Liu, “Word of mouth for movies: its dynamics and impact on box office revenue,” Journal of Marketing, vol. 70, no. 3, pp. 74–89, 2006. View at Publisher · View at Google Scholar · View at Scopus
  32. W. Duan, B. Gu, and A. B. Whinston, “The dynamics of online word-of-mouth and product sales—an empirical investigation of the movie industry,” Journal of Retailing, vol. 84, no. 2, pp. 233–242, 2008. View at Publisher · View at Google Scholar · View at Scopus
  33. J.-J. Wu and Y.-S. Chang, “Towards understanding members' interactivity, trust, and flow in online travel community,” Industrial Management & Data Systems, vol. 105, no. 7, pp. 937–954, 2005. View at Publisher · View at Google Scholar · View at Scopus
  34. Y.-H. Chen and S. Barnes, “Initial trust and online buyer behaviour,” Industrial Management & Data Systems, vol. 107, no. 1, pp. 21–36, 2007. View at Publisher · View at Google Scholar · View at Scopus
  35. B. Y. Liau and P. P. Tan, “Gaining customer knowledge in low cost airlines through text mining,” Industrial Management and Data Systems, vol. 114, no. 9, pp. 1344–1359, 2014. View at Publisher · View at Google Scholar · View at Scopus
  36. P. Briggs, B. Burford, A. De Angeli, and P. Lynch, “Trust in online advice,” Social Science Computer Review, vol. 20, no. 3, pp. 321–332, 2002. View at Publisher · View at Google Scholar · View at Scopus
  37. B. Pang and L. Lee, “A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts,” in Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, Association for Computational Linguistics, Barcelona, Spain, July 2004. View at Publisher · View at Google Scholar
  38. M. Eisend, “Two-sided advertising: a meta-analysis,” International Journal of Research in Marketing, vol. 23, no. 2, pp. 187–198, 2006. View at Publisher · View at Google Scholar · View at Scopus
  39. G. Bohner, S. Einwiller, H.-P. Erb, and F. Siebler, “When small means comfortable: relations between product attributes in two-sided advertising,” Journal of Consumer Psychology, vol. 13, no. 4, pp. 454–463, 2003. View at Publisher · View at Google Scholar · View at Scopus
  40. A. E. Crowley and W. D. Hoyer, “An integrative framework for understanding two-sided persuasion,” Journal of Consumer Research, vol. 20, no. 4, pp. 561–574, 1994. View at Publisher · View at Google Scholar
  41. R. H. Holton, “The distinction between convenience goods, shopping goods, and specialty goods,” The Journal of Marketing, vol. 23, no. 1, pp. 53–56, 1958. View at Publisher · View at Google Scholar
  42. H. P. Zhang, H. K. Yu, D. Y. Xiong, and Q. Liu, “HHMM-based Chinese lexical analyzer ICTCLAS,” in Proceedings of the 2nd SIGHAN Workshop on Chinese Language Processing, vol. 17, pp. 184–187, Association for Computational Linguistics, 2003.
  43. P. A. Frazier, A. P. Tix, and K. E. Barron, “Testing moderator and mediator effects in counseling psychology research,” Journal of Counseling Psychology, vol. 51, no. 1, pp. 115–134, 2004. View at Publisher · View at Google Scholar · View at Scopus
  44. X. Chen and X. Wang, “Free or bundled: channel selection decisions under different power structures,” Omega, vol. 53, pp. 11–20, 2015. View at Publisher · View at Google Scholar · View at Scopus
  45. X. Chen, G. Hao, and L. Li, “Channel coordination with a loss-averse retailer and option contracts,” International Journal of Production Economics, vol. 150, pp. 52–57, 2014. View at Publisher · View at Google Scholar · View at Scopus