The impact of network externalities on acceptance and use of an app of peer-to-peer platform: a study with Uber users

Kelly Carvalho Vieira, Eduardo Gomes Carvalho, Joel Yutaka Sugano, José Willer do Prado


In recent years, sharing business models have emerged based on the use of technology. Thus, this study used the constructs of UTAUT2 and Network Externalities, in order to analyze how the network externality moderates the acceptance of an app used in peer-to-peer platform. A survey was conducted with 243 Uber users and data were analyzed through the structural equation modeling. As a result, it has been found that all factors influence user acceptance in a positive way. However, the network externality moderates this influence when it comes to factors as facilitating conditions, habit, and social influence.


UTAUT2; Network Externality; Uber; Technology; Structural Equation Modeling

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Al-Shafi, S., & Weerakkody, V. (2009). Implementing free Wi-Fi in public parks. International Journal of Electronic Government Research, 5(3), 21 35. doi:10.4018/jegr.2009070102

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411. doi:10.1037/0033-2909.103.3.411

Anderson, L., Ostrom, A. L., Corus, C., Fisk, R. P., Gallan, A. S., Giraldo, M., ... & Shirahada, K. (2013). Transformative service research: An agenda for the future. Journal of Business Research, 66(8), 1203-1210. doi:10.1016/j.jbusres.2012.08.013

Malhotra, A., & Van Alstyne, M. (2014). The dark side of the sharing economy… and how to lighten it. Communications of the ACM, 57(11), 24-27. doi:10.1145/2668893

Attuquayefio, S., & Add, O. H. (2014). Review of studies with UTAUT as conceptual framework. European Scientific Journal (ESJ), 10(8), 249–258.

Baron, S., Patterson, A., & Harris, K. (2006). Beyond technology acceptance: understanding consumer practice. International Journal of Service Industry Management, 17(2), 111–135. doi:10.1108/09564230610656962

Botsman, R., & Rogers, R. (2011). What's mine is yours: how collaborative consumption is changing the way we live. Business, 274. doi:10.1016/S0168-9525(00)00086-X

Benkler, Y. (2004). Sharing nicely: On shareable goods and the emergence of sharing as a modality of economic production. Yale LJ, 114, 273.

Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: a baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399–426. doi:10.2307/25148690

Bryman, A. (1989). Research methods and organization studies (Vol. 20). Unwin Hyman, London. doi:10.4324/9780203359648

Chan, K. Y., Gong, M., Xu, Y., & Thong, J. (2008). Examining user acceptance of SMS: An empirical study in China and Hong Kong. PACIS 2008 Proceedings, 294.

Chen, Y., Salmanian, W., & Akram, A. (2017). User Acceptance In Sharing Economy-A Study Of Transportation Network Companies In China. Recovered from

Chen, W., Hancke, G. P., Mayes, K. E., Lien, Y., & Chiu, J. H. (2010). NFC mobile transactions and authentication based on GSM network. In: Near Field Communication (NFC), 2010 Second International Workshop, 83–89. doi:10.1109/NFC.2010.15

Cheng, Y., Yu, T., Huang, C., Yu, C., & Yu, C. (2011). The comparison of three major occupations for user acceptance of information technology: applying the UTAUT model. iBusiness, 3(2), 147–158. doi:10.4236/ib.2011.32021

Chung, N., Nam, K., & Koo, C. (2016). Examining information sharing in social networking communities: Applying theories of social capital and attachment. Telematics and Informatics, 33(1), 77-91. doi:10.1016/j.tele.2015.05.005

Codagnone, C., & Martens, B. (2016). Scoping the sharing economy: Origins, definitions, impact and regulatory issues. SSRN Electronic Journal. doi:10.2139/ssrn.2783662

Economides, N. (1996). Network externalities, complementarities, and invitations to enter. European Journal of Political Economy, 12(2), 211–233. doi:10.1016/0176-2680(95)00014-3

Fink, A. e Kosecoff, J. (1998), How to Conduct Surveys: A Step-by-Step Guide. SAGE Publications, Thousand Oaks, CA.

Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.

Haruvy, E., & Prasad, A. (1998). Optimal product strategies in the presence of network externalities. Information Economics and Policy, 10(1), 489–499. doi:10.1016/S0167-6245(98)00014-6

Hong, S.-J., & Tam, K. Y. (2006). Understanding the adoption of multipurpose information appliances: the case of mobile data services. Information Systems Research, 17(2), 162–179. doi:10.1016/j.jhazmat.2005.10.004

Katz, M. L., & Shapiro, C. (1992). Product introduction with network externalities. Journal of Industrial Economics, 40(1), 55–83. doi:10.2307/2950627

Katz, M., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American Economic Review, 75(3), 424–440. doi:10.1017/CBO9781107415324.004

Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: an integrative view of four mechanisms underlying post-adoption phenomena. Management Science, 51(5), 741–755. doi:10.1287/mnsc.1040.0326

Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464-478. doi:10.1016/j.chb.2014.03.022

Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, 31(4), 705–737. doi:10.2307/25148817

Matzler, K., Veider, V., & Kathan, W. (2015). Adapting to the sharing economy. MIT Sloan Management Review, 56(2), 71–77. doi:10.1007/s11002-015-9366-x

Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoption decisions: implications for a changing workforce. Personnel Psychology, 53, 375–403. doi:10.1111/j.1744-6570.2000.tb00206.x

Muñoz, P., & Cohen, B. (2017). Mapping out the sharing economy: A configurational approach to sharing business modeling. Technological Forecasting and Social Change, 125, 21-37. doi:10.1016/j.techfore.2017.03.035

Nysveen, H., & Pedersen, P. (2016). Consumer adoption of RFID-enabled services. Applying na extended UTAUT model. Information Systems Frontiers. 18(2), 293–314. doi:10.1007/s10796-014-9531-4

Oshlyansky, L., Cairns, P., & Thimbleby, H. (2007). Validating the unified theory of acceptance and use of technology (UTAUT) tool cross-culturally. In Proceedings of the 21st British HCI Group Annual Conference. HCI 2007, 3–7 September 2007, Lancaster University, UK, 1–4. Retrieved from

Park, J., Yang, S., & Lehto, X. (2007). Adoption of mobile technologies for Chinese consumers. Journal of Electronic Commerce Research, 8(3), 196–206. doi:

Peng, G., & Mu, J. (2011). Technology adoption in online social networks. Journal of product innovation management, 28(s1), 133-145. doi:10.1111/j.1540-5885.2011.00866.x

Shapiro, Carl; Varian, Hal. (1989). Economía de la Información. Elsevier.

Shapiro, C., & Varian, H. R. (1998). Network effects. Notes to accompany information rules: A strategic guide to the network economy. Boston: Harvard Business School Press.

Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychology & Marketing, 32(8), 860-873. doi:10.1002/mar.20823

Suntornpithug, N., & Khamalah, J. (2010). Machine and person interactivity: the driving forces behind influences on consumers’ willingness purchase online. Journal of Electronic Commerce Research, 11(4), 299–325.

Taylor, S., & Todd, P. A. (1995). Assessing IT usage: the role of prior experience. MIS Quarterly, 19(4), 561–570.

Telles, R. (2016). Digital matching firms: A new definition in the “sharing economy” space. ESA issue brief, 01-16.

Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425–478. doi:10.1017/CBO9781107415324.004

Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. doi:10.1111/j.1365-2729.2006.00163.x

Vieira, K. C., De Paiva, A. L., Rosa, M., & Dos Santos, A. C. (2017). Trinta Anos de Análise Multivariada de Dados em Gestão Estratégica: Uma Revisão Sistemática. In: XX SEMEAD Seminários em Administração. Retrieved from

Wang, C., Lo, S., & Fang, W. (2008a). Extending the technology acceptance model to mobile telecommunication innovation: the existence of network externalities. Journal of Consumer Behavior, 7(2), 101–110. doi:10.1002/cb

Wang, S., Zheng, S., Xu, L., Li, D., & Meng, H. (2008b). A literature review of electronic marketplace research: themes, theories and an integrative framework. Information Systems Frontiers, 10(5), 555–571. doi:10.1007/s10796-008-9115-2

Watanabe, C., Naveed, K., Neittaanmäki, P., & Fox, B. (2017). Consolidated challenge to social demand for resilient platforms-Lessons from Uber's global expansion. Technology in Society, 48, 33-53. doi:10.1016/j.techsoc.2016.10.006

Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of marketing, 52(3), 2-22. doi:10.2307/1251446

Zhou, T. (2011). Examining the critical success factors of mobile website adoption. Online Information Review, 35(4), 636-652. doi:10.1108/14684521111161972

Zhou, T. (2013). Examining continuous usage of location-based services from the perspective of perceived justice. Information Systems Frontiers, 15(1), 141–150. doi:10.1007/s10796-011-9311-3


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