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Information Systems Frontiers

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01.02.2020

Addressing the Review-Based Learning and Private Information Approaches to Foster Platform Continuance

verfasst von: Hung-Pin Shih, Pei-Chen Sung

Erschienen in: Information Systems Frontiers | Ausgabe 3/2021

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Abstract

Multi-sided platforms (MSPs) play the role as tech-enabled intermediaries that provide social networking sites to serve heterogeneous customer needs via complementary offerings, fostering direct and indirect connections between customers and third parties. However, the phenomenon of switching behavior in the post-adoption would likely destruct the success of platform business that depends on repeated customers and their continuance. Such a “use-to-goal-attainment gap” reveals the information about distinct driving forces of platform continuance. From the rational perspective, we take uses and gratifications (U&G) as the theoretical vehicle to examine the private information of personal experiences. We consider review-based learning as the adaptive approach to informational cascades. From the empirical surveys of 309 TripAdvisor (Taiwan) users, we found that the review-based learning approach plays a dual-role as the competing and supplemental driver of private information to foster platform continuance. Theoretical and managerial implications of platform continuance and business are discussed accordingly.

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Ayeh, J. K., Au, N., & Law, R. (2013). “Do we believe in TripAdvisor?” examining credibility perceptions and online travelers’ attitude toward using user-generated content. Journal of Travel Research, 52(4), 437–452.CrossRef

Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244–254.CrossRef

Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94.CrossRef

Bagozzi, R. P., Yi, Y., & Phillips, L. (1991). Assessing construct validity in organizational research. Administrative Science Quarterly, 36(3), 421–458.CrossRef

Banerjee, A. V. (1992). A simple model of herd behavior. Quarterly Journal of Economics, 107(3), 797–817.CrossRef

Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201–214.CrossRef

Bhattacherjee, A., & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229–254.CrossRef

Bikhchandani, S., Hirshleifer, D., & Welch, I. (1992). A theory of fads, custom, and cultural change as informational cascades. The Journal of Political Economy, 100(5), 992–1026.CrossRef

Bikhchandani, S., Hirshleifer, D., & Welch, I. (1998). Learning from the behavior from others: Conformity, fads, and informational cascades. Journal of Economic Perspectives, 12(3), 151–170.CrossRef

Brislin, R. W., Lonner, W. J., & Thorndike, R. M. (1973). Cross-cultural research methods. New York: John Wiley & Sons.

Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of online consumer recommendations. International Journal of Electronic Commerce, 13(4), 9–38.CrossRef

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.CrossRef

Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Orlando: Harcourt Brace Jovanovich College Publishers.

Eighmey, J., & McCord, L. (1998). Adding value in the information age: Uses and gratifications of sites on the world wide web. Journal of Business Research, 41(3), 187–194.CrossRef

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equations with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.CrossRef

Guo, Z., Tan, F. B., & Cheung, K. (2010). Students’ uses and gratifications for using computer-mediated communication media in learning contexts. Communications of the Association for Information Systems, 27(1), 339–378.

Hagiu, A., & Altman, E. J. (2017). Finding the platform in your product. Harvard Business Review, 95(4), 94–100.

Hagiu, A., & Wright, J. (2013). Do you really want to be an eBay? Harvard Business Review, 91(3), 102–108.

Herzog, H. (1944). What do we really know about day-time serial listeners? In P. Lazarsfeld & F. Stanton (Eds.), Radio research 1942–1943 (pp. 2–23). New York: Duel, Sloan and Pearce.

Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50–68.CrossRef

Hogarth, R. M., & Einhorn, H. J. (1992). Order effects in belief-updating: The belief-adjustment model. Cognitive Psychology, 24(1), 1–55.CrossRef

Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion: Psychological studies of opinion change. New Haven: Yale University Press.

Jain, D., & Singh, S. S. (2002). Customer lifetime value research in marketing: A review and future directions. Journal of Interactive Marketing, 16(2), 34–46.CrossRef

Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of preadoption and post-adoption beliefs. MIS Quarterly, 23(2), 183–213.CrossRef

Kim, S. S. (2009). The integrative framework of technology use: An extension and test. MIS Quarterly, 33(3), 513–537.CrossRef

Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741–755.CrossRef

Ko, H., Cho, C.-H., & Roberts, M. S. (2005). Internet uses and gratifications: A structural equation mdel of interactive advertising. Journal of Advertising, 34(2), 57–70.CrossRef

Lappas, T., Sabnis, G., & Valkanas, G. (2016). The impact of fake reviews on online visibility: A vulnerability assessment of the hotel industry. Information Systems Research, 27(4), 940–961.CrossRef

Lemieux, P. (2003–04). Following the herd. Regulation, 26(4), 16–21.

Li, X. (2004). Informational cascades in IT adoption. Communications of the ACM, 47(4), 93–97.CrossRef

Lieberman, M. B., & Asaba, S. (2006). Why do firms imitate each other? Academy of Management Review, 31(2), 366–385.CrossRef

Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research design. Journal of Applied Psychology, 86(1), 114–121.CrossRef

Luca, M. (2016). Reviews, reputation, and revenue: The case of Yelp.com. Harvard Business School NOM Unit Working Paper, no. 12-016. Available at SSRN: https://ssrn.com/abstract=1928601 or https://doi.org/10.2139/ssrn.1928601. Accessed 5 August 2019.

Luca, M., & Zervas, G. (2016). Fake it till you make it: Reputation, competition, and yelp review fraud. Management Science, 62(12), 3412–3427.CrossRef

Luo, X. (2002). Uses and gratifications theory and e-consumer behaviors: A structural equation modeling study. Journal of Interactive Advertising, 2(2), 34–41.CrossRef

Luo, M. M., Chea, S., & Chen, J.-S. (2011). Web-based information service adoption: A comparison of the motivational model and the uses and gratifications theory. Decision Support Systems, 51(1), 21–30.CrossRef

Maneesriwongul, W., & Dixon, J. K. (2004). Instrument translation process: A method review. Journal of Advanced Nursing, 48(2), 175–186.CrossRef

Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357–365.CrossRef

March, J. G. (2006). Rationality, foolishness, and adaptive intelligence. Strategic Management Journal, 27(3), 201–214.CrossRef

Mayzlin, D., Dover, Y., & Chevalier, J. (2014). Promotional reviews: An empirical investigation of online review manipulation. The American Economic Review, 104(8), 2421–2455.CrossRef

Mcguire, W. J. (1974). Psychological motives and communication gratification. In J. G. Blumler & E. Katz (Eds.), The uses of mass communications (pp. 167–196). Beverly Hills: Sage Publications.

Merlo, O., Eisingerich, A. B., & Auh, S. (2014). Why customer participation matters. Sloan Management Review, 55(2), 81–88.

Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222.CrossRef

Nunnally, J. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469.CrossRef

Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform revolution: How networked markets are transforming the economy and how to make them work for you. NY: W. W. Norton & Company.

Parkin, S. (2018). The never-ending war on fake reviews. The New Yorker, Annals of Technology, https://www.newyorker.com/tech/annals-of-technology/the-never-ending-war-on-fake-reviews. Accessed 5 August 2019.

Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed.), Advances in experimental social psychology (pp. 123–205). New York: Academic Press.

Plume, C. J., & Slade, E. L. (2018). Sharing of sponsored advertisements on social media: A uses and gratifications perspective. Information Systems Frontiers, 20(3), 471–483.CrossRef

Podsakoff, P. M., Mackenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.CrossRef

Rafaeli, S. (1986). The electronic bulletin board: A computer-driven mass medium. Computers and the Social Sciences, 2(3), 123–136.

Rogers, E. M. (1995). The diffusion of innovation. NY: Free Press.

Rubin, A. M. (1994). Media uses and effects: A uses-and-gratifications perspective. In J. Bryant & D. Zillmann (Eds.), Media effects: Advances in theory and research (pp. 417–436). Lawrence Erlbaum Associates: Hillsdale.

Schulze, C., Schöler, L., & Skiera, B. (2015). Customizing social media marketing. MIT Sloan Management Review, 56(2), 7–10.

Schwartz, B. (2004). The paradox of choice: Why more is less. New York: HarperCollins Publishers.

Shapiro, C., & Varian, H. R. (1999). Information rules: A strategic guide to the new economy. Boston: Harvard Business School Press.

Sharma, R., Yetton, P., & Crawford, J. (2009). Estimating the effect of common method variance: The method-method pair technique with an illustration from TAM research. MIS Quarterly, 33(3), 473–490.CrossRef

Stafford, T. F., Stafford, M. R., & Schkade, L. L. (2004). Determining uses and gratifications for the internet. Decision Sciences, 35(2), 259–288.CrossRef

Sun, H. (2009). Understanding herd behavior in technology adoption and continued use: A longitudinal perspective. DIGIT 2009 proceedings, paper 11.

Sun, H. (2013). A longitudinal study of herd behavior in the adoption and continued use of technology. MIS Quarterly, 37(4), 1013–1041.CrossRef

Talanquer, V. (2009). On cognitive constraints and learning progressions: The case of “structure of matter”. International Journal of Science Education, 31(15), 2123–2136.CrossRef

Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207–232.CrossRef

Van Alstyne, M. W., Parker, G. G., & Choudary, S. P. (2016). Pipelines, platforms, and the new rules of strategy. Harvard Business Review, 94(4), 54–62.

Walden, E. A., & Browne, G. J. (2009). Sequential adoption theory: A theory for understanding herding behavior in early adoption of novel technologies. Journal of the Association for Information Systems, 10(1), 31–62.CrossRef

Wathen, C. N., & Burkell, J. (2002). Believe it or not: Factors influencing credibility on the web. Journal of the American Society for Information Science and Technology, 53(2), 133–144.CrossRef

Weill, P., & Woerner, S. L. (2013). Optimizing your digital business model. MIT Sloan Management Review, 54(3), 70–78.

Yaniv, I. (2004). Receiving other people’s advice: Influence and benefit. Organizational Behavior & Human Decision Processes, 93(1), 1–13.CrossRef

Zhang, N., Guo, X., & Chen, G. (2011). Why adoption and use behavior of IT/IS cannot last? - two studies in China. Information Systems Frontiers, 13(3), 381–395.CrossRef

Zhang, J., & Piramuthu, S. (2018). Product recommendation with latent review topics. Information Systems Frontiers, 20(3), 617–625.CrossRef

Zhang, W., & Watts, S. A. (2008). Capitalizing on content: Information adoption in two online communities. Journal of the Associations for Information Systems, 9(2), 73–94.CrossRef

Zimmerman, A. (2012). Showdown over “showrooming”. The Wall Street Journal, January 23, 2012. http://online.wsj.com/article/SB10001424052970204624204577177242516227440.html?mod=WSJ_hpp_editorsPicks_2. Accessed 5 August 2019.

Titel: Addressing the Review-Based Learning and Private Information Approaches to Foster Platform Continuance
verfasst von: Hung-Pin Shih
Pei-Chen Sung
Publikationsdatum: 01.02.2020
Verlag: Springer US
Erschienen in: Information Systems Frontiers / Ausgabe 3/2021
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-020-09985-4

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