Abstract
Online users usually observe or refer to others’ behaviors and discount their own information when purchasing products online. This research employed a fixed-effect regression model to elucidate how information cascades could influence online purchase behaviors and how they moderated the influence of online word-of-mouth and product prices. To uncover the underlying mechanisms behind informational cascades, we compare search products and experience products. In particular, we utilize publicly available data from a B2C e-commerce site in China, i.e., Tmall.com. Our results indicate that online users’ choice of products was heavily driven by changes in product rankings after controlling for cumulative sales, online user reviews and product price, as predicted by informational cascades theory. Due to the information cascades effect, review volume had no impact on online users’ choice of products with high rankings, whereas it did exert a significant positive impact on consumer purchase decisions of products with low rankings. User rating had no impact on online users’ purchase decisions. Product price had a significant and negative impact for products with high rankings, but had a significant and positive influence on users’ choice for products with low rankings. Moreover, information cascades were more prominent for experience goods than for search goods.
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Asvanund, A., Clay, K., Krishnan, R., & Smith, M. (2004). An empirical analysis of network externalities in peer-to-peer music sharing networks. Information Systems Research, 15(2), 155–174.
Avery, C., & Zemsky, P. (1998). Multidimensional uncertainty and herd behavior in financial markets. American Economic Review, 88(4), 724–748.
Bajari, P., & Ali, H. (2003). The winner’s curse, reserve prices and endogenous entry: Empirical insights from eBay auctions. Rand Journal of Economics, 3(2), 329–355.
Banerjee, A. V. (1992). A simple model of herd behavior. Quarterly Journal of Economics, 107(3), 797–817.
Bernhardt, D., Campello, M., & Kutsoati, E. (2009). Who herds? Journal of Financial Economics, 80(3), 657–675.
Bikhchandani, S., & Sharma, S. (2001). Herd behavior in financial markets. IMF Staff Papers, 47(3), 279–310.
Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy, 100(5), 992–1026.
Celen, B., & Kariv, S. (2004). Distinguishing informational cascades from herd behavior in the laboratory. American Economic Review, 94(3), 484–498.
Chen, P. Y., Wu, S. Y., & Yoon, J. (2004). The impact of online recommendations and consumer feedback on sales. In Proceedings of the 25th international conference on information systems, December 9–12. Washington.
Chen, S. J., & Chang, T. Z. (2003). A descriptive model of online shopping process: Some empirical results. International Journal of Service Industry Management, 14(5), 557–569.
Chen, Y. F. (2008). Herd behavior in purchasing books online. Computers in Human Behavior, 24(5), 1977–1992.
Cheng J., Adamic L. A., Dow P. A., Kleinberg J., & Leskovec J. (2014). Can cascades be predicted? In Proceedings of the 23rd international conference on world wide web, April 7–11. Seoul.
Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345–354.
Choi, J. J., Laibson, D., Madrian, B. C., & Metrick, A. (2003). Optimal defaults. American Economic Review Papers and Proceedings., 93, 180–185.
Cipriani, M., & Guarino, A. (2005). Herd behavior in a laboratory financial market. American Economic Review, 95(5), 1427–1443.
CNBN (2015). Alibaba’s anti-counterfeit on scalping of twenty-three merchants from Tmall.com, all have been repelled and ten more merchants’ logistics have been forced off. Retrieved May 7, 2015, from http://china.cnr.cn/xwwgf/20150507/t20150507_518489320.shtml.
Dong, B., Liu, Q., Fu, Y., & Zhang, L. (2014). A research of Taobao cheater detection. In The 13th IFIP conference on e-business, e-services and e-society, November 27–30. Sanya.
Dow, P. A., Adamic, L. A., & Friggeri, A. (2013). The anatomy of large facebook cascades. In Proceedings of the seventh international conference on weblogs and social media, July 8–11. Cambridge, USA.
Duan, W., Gu, B., & Whinston, A. B. (2008). Do online reviews matter?-An empirical investigation of panel data. Decision Support Systems, 45(4), 1007–1016.
Duan, W., Gu, B., & Whinston, A. B. (2009). Informational cascades and software adoption on the internet: An empirical investigation. MIS Quarterly, 33(1), 23–48.
eMarketer (2014). Worldwide ecommerce sales to increase nearly 20% in 2014. Retrieved July 23, 2014, from http://www.emarketer.com/Article/Worldwide-Ecommerce-Sales-Increase-Nearly-20-2014/1011039.
Formisano, R. A., Olshavsky, R. W., & Tapp, S. (1982). Choice strategy in a difficult task environment. Journal of Consumer Research, 8(4), 474–479.
Galuba, W., Aberer, K., Chakraborty, D., Despotovic, Z., & Kellerer, W. (2010). Outtweeting the twitterers -predicting information cascades in microblogs. In Proceedings of the 3rd workshop on online social networks (WOSN), June 22–25. Boston, MA.
Gardner, D. M. (1971). Is there a generalized price-quality relationship? Journal of Marketing Research, 8(2), 241–243.
Gowrisankaran, G., & Stavins, J. (2004). Network externalities and technology adoption: Lessons from electronic payments. RAND Journal of Economics., 35, 260–276.
Grinblatt, M., Titman, S., & Wermers, R. (1995). Momentum investment strategies, portfolio performance, and herding: A study of mutual fund behavior. American Economic Review, 85(5), 1088–1105.
Heffetz, O., & Shayo, M. (2009). How large are non-budget-constraint effects of prices on demand? American Economic Journal: Applied Economics., 1(4), 170–199.
Herzenstein, M., Dholakia, U. M., & Andrews, R. L. (2011). Strategic herding behavior in peer-to-peer loan auctions. Journal of Interactive Marketing, 25(1), 27–36.
Huihui (2015). Online shopping big data report (Double 11 special issue in 2015). Retrieved January 6, 2016, from http://www.huihui.cn/deals/30219893.
iProspect (2006). Search engine user behavior study. Retrieved January 10, 2015, from http://district4.extension.ifas.ufl.edu/Tech/TechPubs/WhitePaper_2006_SearchEngineUserBehavior.pdf.
iResearch (2014). 2014 China online shoppers’ behavior report. Retrieved July 1, 2014, from http://report.iresearch.cn/2201.html.
Jimenez, F. R., & Mendoza, N. A. (2013). Too popular to ignore: The influence of online reviews on purchase intentions of search and experience products. Journal of Interactive Marketing, 27(3), 226–235.
Jin, G. Z., & Kato, A. (2006). Price quality and reputation: Evidence from an online field experiment. The Rand Journal of Economics, 37(4), 983–1005.
Katz, M. L., & Shapiro, C. (1994). Systems competition and network effects. The Journal of Economic Perspectives., 8(2), 93–115.
Kennedy, R. E. (2002). Strategy fads and competitive convergence: An empirical test for herd behavior in prime-time television programming. Journal of Industrial Economics., 50(1), 43–56.
King, M. F., & Balasubramanian, S. K. (1994). The effects of expertise, end goal, and product type on adoption of preference formation strategy. Journal of the Academy of Marketing Science, 22(2), 146–159.
Lee, E., & Lee, B. (2012). Herding behavior in online P2P lending: An empirical investigation. Electronic Commerce Research and Applications, 11(5), 495–503.
Lee, Y. J., Hosanagar, K., & Tan, Y. (2015). Do I follow my friends or the crowd? Information cascades in online movie ratings. Management Science. in press, doi:10.1287/mnsc.2014.2082.
Leskovec, J., McGlohon, M., Glance, F.N., & Hurst, M. (2007). Patterns of cascading behavior in large blog graphs. In Proceedings of the 2007 SIAM international conference on data mining, April 26–28. Minneapolis, USA.
Li, X. (2004). Informational cascades in IT adoption. Communications of the ACM, 47(4), 93–97.
Li, X., & Hitt, L. M. (2008). Self-selection and information role of online product reviews. Information Systems Research., 19(4), 456–474.
Li, X., & Wu, L. (2012). Herding and social media word-of-mouth: Evidence from Groupon. In Workshop on information systems and economics. December 15–16, Orlando, FL.
Liu, Q., & Zhang, L. (2014). Information cascades in online reading: An empirical investigation of panel data. Library Hi Tech, 32(4), 687–705.
Liu, X., He, M., Gao, F., & Xie, P. (2008). An empirical study of online shopping customer satisfaction in China: A holistic perspective. International Journal of Retail & Distribution Management., 36(11), 919–940.
Liu, Y. (2006). Word-of-mouth for movies: Its dynamics and impact on box office receipts? Journal of Marketing, 70(3), 74–89.
Mastrobuoni, G., & Peracchi, F. (2014). Price as a signal of product quality: Some experimental evidence. Journal of Wine Economics, 9(2), 135–152.
McKinsey (2007). Insight into Chinese shoppers: McKinsey Global shopper survey. Retrieved May 23, 2007, from http://news.winshang.com/news-34613.html.
Nelson, P. (1974). Advertising as information. Journal of Political Economy, 82(4), 729–754.
NetEase (2015). Organized scalping is pushing Jingdong to death. Retrieved April 3, 2015, from http://money.163.com/15/0403/08/AM90C21300253G87.html.
Onnela, J. P., & Reed-Tsochas, F. (2010). Spontaneous emergence of social influence in online systems. Proceedings of the National Academy of Sciences, 107(43), 18375–18380.
Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61–67.
Resnick, P., & Richard, Z. (2002). Trust among strangers in Internet transactions: Empirical analysis of eBay’s reputation system. In M. R. Baye (Ed.), The economics of the internet and e-commerce (pp. 127–157). Elsevier Science: Amsterdam.
Scarle, S., Arnab, S., Dunwell, I., Petridis, P., Protopsaltis, A., & Freitas, S. (2012). E-commerce transactions in a virtual environment: Virtual transactions. Electronic Commerce Research, 12(3), 379–407.
Shiv, B., Carman, Z., & Ariely, D. (2005). Placebo effects of marketing actions: Consumers may get what they pay for. Journal of Marketing Research, 42(4), 383–393.
Simonsohn, U., & Ariely, D. (2004). e-Bay’s happy hour: Non-rational herding in on-line auctions. Working Paper, Wharton School, University of Pennsylvania.
Smith, L., & Sorensen, P. N. (2000). Pathological outcomes of observational learning. Econometrica, 68(2), 371–398.
Sotiriadis, M. D., & Zyl, C. (2013). Electronic word-of-mouth and online reviews in tourism services: The use of twitter by tourists. Electronic Commerce Research, 13(1), 103–124.
Spiekermann, S. (2001). Online information search with electronic agents: Drivers, impediments, and privacy issues, unpublished doctoral dissertation. Berlin: Humboldt University Berlin.
Sun, H. (2013). A longitudinal study of herd behavior in the adoption and continued use of technology. MIS Quarterly, 37(4), 1013–1041.
Szybillo, G. J., & Jacoby, J. (1974). Intrinsic versus extrinsic cues as determinants of perceived product quality. Journal of Applied Psychology, 59(1), 74–78.
Tmall (2014). Catch on Tmall. Retrieved May 25, 2014, from http://www.tmall.com/go/chn/mall/zhaoshang_produce.php?spm=a221t.7038233.a2226n1.18.ZXGMIC.
Tsao, W. C. (2014). Which type of online review is more persuasive? The influence of consumer reviews and critic ratings on moviegoers. Electronic Commerce Research, 14(4), 559–583.
Welch, I. (2000). Herding among security analysts. Journal of Financial Economics, 58(3), 369–396.
Xiao, B., & Benbasat, I. (2011). Product-related deception in e-commerce: A theoretical perspective. MIS Quarterly, 35(1), 169–195.
Zhang, J., & Liu, P. (2012). Rational herding in microloan markets. Management Science, 58(5), 892–912.
Zhang, L., Zhu, J., & Liu, Q. (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior, 28(5), 1902–1911.
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This paper is supported by the Humanities and Social Sciences Foundation of the Ministry of Education of China (No: 13YJC630094), the National Natural Science Foundation of China (No: 71363022, No 71373192, No 71361012) and Foundation of Jiangxi Educational Committee (No GJJ150446).
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Liu, Q., Huang, S. & Zhang, L. The influence of information cascades on online purchase behaviors of search and experience products. Electron Commer Res 16, 553–580 (2016). https://doi.org/10.1007/s10660-016-9220-0
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DOI: https://doi.org/10.1007/s10660-016-9220-0