The Impact of Social Environment on Willingness to Pay for Online Content

References

• Acock, A. C., and M. L. Defleur. 1972. A configurational approach to contingent consistency in the attitude-behavior relationship. American Sociological Review 37 (6):714–26.
   Google Scholar
• Ad2Games 2014. The Global PC/MMO Market 2013–2017. https://www.ad2games.com/insights/the-global-pcmmo-market-2013-2017-infographic/ (accessed June 5, 2015).
   Google Scholar
• Agarwal, R., A. Animesh, and K. Prasad. 2009. Social interactions and the “digital divide”: Explaining variations of internet use. Information Systems Research 20 (2):277–94.
   Web of Science ®Google Scholar
• Ajzen, I., and B. L. Driver. 1992. Contingent value measurement: On the nature and meaning of willingness to pay. Journal of Consumer Psychology 1 (4):297–316.
   Google Scholar
• Alves, T. R., and L. Roque. 2007. Because players pay: The business model influence on MMOG design. Situated Play: Proceedings of the 2007 Digital Games Research Association Conference, 41–57. Tokyo.
   Google Scholar
• Amblee, N., and T. Bui. 2011. Harnessing the influence of social proof in online shopping: The effect of electronic word of mouth on sales of digital microproducts. International Journal of Electronic Commerce 16 (2):91–113.
   Web of Science ®Google Scholar
• Andrews, K. H., and D. B. Kandel. 1979. Attitude and behavior: A specification of the contingent consistency hypothesis. American Sociological Review 44 (2):298–10.
   PubMed Web of Science ®Google Scholar
• Bandura, A. 1986. Social foundations of thought and action. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Berger, B., C. Matt, D. M. Steininger, and T. Hess. 2015. Paper or screen-differences in customer preferences and willingness to pay between traditional and digital content services. 48th Hawaii International Conference on System Sciences: 3384–93.
   Google Scholar
• Bhattacharya, C. B., and S. Sen. 2003. Consumer–company identification: A framework for understanding consumers’ relationships with companies. Journal of Marketing 67 (2):76–88.
   Web of Science ®Google Scholar
• Boyle, K. J., F. R. Johnson, D. W. McCollum, W. H. Desvousges, R. W. Dunford, and S. P. Hudson. 1996. Valuing public goods: Discrete versus continuous contingent-valuation responses. Land Economics 72 (3):381–96.
   Web of Science ®Google Scholar
• Brewer, M. B. 1991. The social self: On being the same and different at the same time. Personality and Social Psychology Bulletin 17 (5):475–82.
   Web of Science ®Google Scholar
• Campbell, S. W., and T. C. Russo. 2003. The social construction of mobile telephony: An application of the social influence model to perceptions and uses of mobile phones within personal communication networks. Communication Monographs 70 (4):317–34.
   Web of Science ®Google Scholar
• Casalo, L., C. Flavian, and M. Guinaliu. 2008. The role of perceived usability, reputation, satisfaction and consumer familiarity on the website loyalty formation process. Computers in Human Behavior 24 (2):325–45.
   Web of Science ®Google Scholar
• Chang, H. H., and S. W. Chen. 2009. Consumer perception of interface quality, security, and loyalty in electronic commerce. Information & Management 46 (7):411–7.
   Web of Science ®Google Scholar
• Cheung, C. M., G. W. Chan, and M. Limayem. 2005. A critical review of online consumer behavior: Empirical research. Journal of Electronic Commerce in Organizations 3 (4):1–19.
   Google Scholar
• Chiang, E. P., and D. Assane. 2009. Estimate the willingness to pay for digital music. Contemporary Economic Policy 27 (4):512–22.
   Web of Science ®Google Scholar
• Chin, W. W. 1998. The partial least squares approach for structural equation modeling. In Modern methods for business research, ed. G. A. Marcoulides, 295–336. London: Lawrence Erlbaum Associates.
   Google Scholar
• Chin, W. W. 2003. Issues and opinion on structural equation modeling. MIS Quarterly 22 (1):7–16.
   Google Scholar
• Cialdini, R. B., and N. J. Goldstein. 2004. Social influence: Compliance and conformity. Annual Review of Psychology 55 (1):591–621.
   PubMed Web of Science ®Google Scholar
• Cohen, J. 1988. Statistical power analysis for the behavioral science. Hillsdale, NJ: Erlbaum.
   Google Scholar
• Cronovich, R., R. Daneshvary, and R. K. Schwer. 1997. The determinants of coupon usage. Applied Economics 29 (12):1631–41.
   Web of Science ®Google Scholar
• Cyr, D. 2008. Modeling web site design across cultures: Relationships to trust, satisfaction, and e-loyalty. Journal of Management Information Systems 24 (4):47–72.
   Web of Science ®Google Scholar
• Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13 (3):319–39.
   Web of Science ®Google Scholar
• Dawar, N., and P. Parker. 1994. Marketing universals: Consumers’ use of Brand, price, physical appearance, and retailer reputation as signals of product quality. Journal of Marketing 58 (2):81–95.
   Web of Science ®Google Scholar
• Devaraj, S., M. Fan, and R. Kohli. 2002. Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics. Information Systems Research 13 (3):316–33.
   Web of Science ®Google Scholar
• DFC_Intelligence 2014. Worldwide Market Forecasts for the Video Game and Interactive Entertainment Industry. http://www.dfcint.com/archive/wp/wp-content/uploads/2014/06/WWfortoc-dfc1014.pdf (accessed June 5, 2015).
   Google Scholar
• Duan, W., B. Gu, and A. B. Whinston. 2008. Do online reviews matter? An empirical investigation of panel data. Decision Support Systems 45 (4):1007–16.
   Web of Science ®Google Scholar
• Emirbayer, M. 1997. A manifesto for relational sociology. American Journal of Sociology 103 (2):281–317.
   Web of Science ®Google Scholar
• Feldman, D. C. 1984. The development and enforcement of group norms. Academy of Management Review 9 (1):47–53.
   Web of Science ®Google Scholar
• Flavian, C., M. Guinaliu, and R. Gurrea. 2006. The role played by perceived usability, satisfaction and consumer trust on website loyalty. Information & Management 43 (1):1–14.
   Web of Science ®Google Scholar
• Fornell, C., and D. F. Larcker. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18 (1):39–50.
   Web of Science ®Google Scholar
• Fulk, J., J. Schmitz, and C. W. Steinfield. 1990. A social influence model of technology use. In Organizations and communication technology, eds. J. Fulk and C. W. Steinfield., 117–140. Newbury Park, CA: Sage Publications.
   Google Scholar
• Gallaugher, J. M., P. Auger, and A. BarNir. 2001. Revenue streams and digital content providers: An empirical investigation. Information & Management 38 (7):473–85.
   Web of Science ®Google Scholar
• Garg, R., R. Telang, M. Smith, D. Krackhardt, and R. Krishnan. 2009. Peer influence and information diffusion in online networks: An empirical analysis. CIST’09: Conference on Information Systems and Technology: 10–11.
   Google Scholar
• Gefen, D., and D. Straub. 2005. A practical guide to factorial validity using PLS-graph: Tutorial and annotated example. Communications of the Association for Information Systems 16 (5):91–109.
   Google Scholar
• Godes, D., and D. Mayzlin. 2004. Using online conversations to study word-of-mouth communication. Marketing Science 23 (4):545–60.
   Web of Science ®Google Scholar
• Griffiths, M., M. Davies, and D. Chappell. 2004. Demographic factors and playing variables in online computer gaming. CyberPsychology & Behavior 7 (4):479–87.
   PubMedGoogle Scholar
• Grube, J. W., and M. Morgan. 1990. Attitude-social support interactions: Contingent consistency effects in the prediction of adolescent smoking, drinking, and drug use. Social Psychology Quarterly 53 (4):329–39.
   Web of Science ®Google Scholar
• Helm, S., A. Eggert, and I. Garnefeld. 2010. Modeling the impact of corporate reputation on customer satisfaction and loyalty using partial least squares. Handbook of partial least squares concepts, methods and applications. eds. V. E. Vinzi, W. W. Chin, J. Henseler, and H. Wang, 515–34. Heidelberg, Germany: Springer.
   Google Scholar
• Hensler, J., and G. Fassott. 2010. Testing moderating effects in PLS path models: An illustration of available procedures. Handbook of partial least squares: Concepts, methods, and applications in marketing and related areas. eds. V. E. Vinzi, W. W. Chin, J. Henseler, and H. Wang, 713–35. Heidelberg, Germany: Springer.
   Google Scholar
• Hirunyawipada, T., and A. K. Paswan. 2006. Consumer innovativeness and perceived risk: Implications for high technology product adoption. Journal of Consumer Marketing 23 (4):182–98.
   Google Scholar
• Hsu, C. L., and H. P. Lu. 2004. Why do people play online games? An extended TAM with social influences and flow experience. Information & Management 41 (7):853–68.
   Web of Science ®Google Scholar
• Huang, E. 2012. Online experiences and virtual goods purchase intention. Internet Research 22 (3):252–74.
   Web of Science ®Google Scholar
• Igbaria, M., T. Guimaraes, and G. B. Davis. 1995. Testing the determinants of microcomputer usage via a structural equation model. Journal of Management Information Systems 11 (4):87–114.
   Google Scholar
• Internet World Stats 2016. Internet Users in the World. http://www.Internetworldstats.com/stats.htm (accessed October 25, 2016).
   Google Scholar
• Lichtenberg, J. 1996. Consuming because others consume. Social Theory and Practice 22 (3):273–97.
   Google Scholar
• Liska, A. E. 1984. A Critical examination of the causal structure of the fishbein/azjen attitude-behavior model. Social Psychology Quarterly 47 (1):61–74.
   Web of Science ®Google Scholar
• Lopes, A. B., and D. F. Galletta. 2006. Consumer perceptions and willingness to pay for intrinsically motivated online content. Journal of Management Information Systems 23 (2):203–31.
   Web of Science ®Google Scholar
• McPherson, M., L. Smith-Lovin, and J. M. Cook. 2001. Birds of a feather: Homophily in social networks. Annual Review of Sociology 27 (1):415–44.
   Web of Science ®Google Scholar
• Myllylahti, M. 2014. Newspaper paywalls - the hype and the reality. A study of how paid news content impacts on media corporation revenues. Digital Journalism 2 (2):179–94.
   Web of Science ®Google Scholar
• Nanji, A. 2014. Are consumers willing to pay for content from online publishers? MarketingProfs. http://www.marketingprofs.com/charts/2014/26182/do-consumers-pay-for-content-from-online-publishers (accessed October 24, 2016).
   Google Scholar
• Nunnally, J. C. 1978. Psychometric theory. New York, NY: McGraw-Hill.
   Google Scholar
• Okazaki, S., R. Skapa, and I. Grande. 2008. Capturing global youth: Mobile gaming in the U.S., Spain, and the Czech Republic. Journal of Computer-Mediated Communication 13 (4):827–55.
   Web of Science ®Google Scholar
• Oliver, R. L. 1980. A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research 17 (4):460–9.
   Web of Science ®Google Scholar
• Oliver, R. L. 2010. Satisfaction: A behavioral perspective on the customer. 2nd ed. Armonk, NY: M.E. Sharpe.
   Google Scholar
• Papies, D., and M. Clement. 2008. Adoption of new movie distribution services on the internet. Journal of Media Economics 21 (3):131–57.
   Web of Science ®Google Scholar
• Pauwels, K., and A. Weiss. 2008. Moving from free to fee: How online firms market to change their business model successfully. Journal of Marketing 72 (3):14–31.
   Web of Science ®Google Scholar
• Pettigrew, T. F. 1996. How to think like a social scientist. New York, NY: HarperCollins.
   Google Scholar
• Povey, R., M. Conner, P. Sparks, R. James, and R. Shepherd. 2000. The theory of planned behavior and healthy eating: Examining additive and moderating effects of social influence variables. Psychology and Health 14 (6):991–1006.
   PubMed Web of Science ®Google Scholar
• Punj, G. 2013. The relationship between consumer characteristics and willingness to pay for general online content: Implications for content providers considering subscription-based business models. Marketing Letters 26 (2):1–12.
   Web of Science ®Google Scholar
• Raghu, T. S., R. Sinha, A. Vinze, and O. Burton. 2009. Willingness to pay in an open source software environment. Information Systems Research 20 (2):218–39.
   Web of Science ®Google Scholar
• Resnick, P., and R. Zeckhauser. 2002. Trust among strangers in internet transactions: Empirical analysis of eBay's reputation system. Advances in Applied Microeconomics 11:127–57.
   Google Scholar
• Rindova, V. P., I. O. Williamson, A. P. Petkova, and J. M. Sever. 2005. Being good or being known: An empirical examination of the dimensions, antecedents, and consequences of a good reputation. Academy of Management Journal 48 (6):1033–49.
   Web of Science ®Google Scholar
• Ringle, C. M., S. Wende, and S. Will. 2005. SmartPLS 2.0 (M3) Beta. Hamburg. http://www.smartpls.de.
   Google Scholar
• Salancik, G. R., and J. Pfeffer. 1978. A social information processing approach to job attitudes and task design. Administrative Science Quarterly 23 (2):224–53.
   PubMed Web of Science ®Google Scholar
• Schmitz, J., and J. Fulk. 1991. Organizational colleagues, media richness, and electronic mail. Communication Research 18 (4):487–523.
   Web of Science ®Google Scholar
• Shukla, A., N. K. Sharma, and S. Swami. 2010. Website characteristics, user characteristics and purchase intention: Mediating role of website satisfaction. International Journal of Internet Marketing and Advertising 6 (2):142–67.
   Google Scholar
• Sinha, R. K., F. S. Machado, and C. Sellman. 2010. Don’t think twice, it’s all right: Music piracy and pricing in a DRM-free environment. The Journal of Marketing 74 (2):40–54.
   Web of Science ®Google Scholar
• Smith, D., S. Menon, and K. Sivakumar. 2005. Online peer and editorial recommendations, trust, and choice in virtual markets. Journal of Interactive Marketing 19 (3):15–37.
   Google Scholar
• Sun, H., and P. Zhang. 2006. Causal relationships between perceived enjoyment and perceived ease of use: An alternative approach. Journal of the Association for Information Systems 7 (9):618–45.
   Web of Science ®Google Scholar
• Tassi, P. 2014. ‘World of Warcraft’ still a $1B powerhouse even as subscription MMOs decline. Forbes. http://www.forbes.com/sites/insertcoin/2014/07/19/world-of-warcraft-still-a-1bpowerhouse-even-as-subscription-mmos-decline (accessed August 11, 2014).
   Google Scholar
• Terry, D. J., M. A. Hogg, and B. M. McKimmie. 2000. Attitude-behavior relations: the role of in-group norms and mode of behavioral decision-making. British Journal of Social Psychology 39 (3):337–61.
   PubMed Web of Science ®Google Scholar
• Thurman, N., and M. Myllylahti. 2009. Taking the paper out of news: A case study of taloussanomat, europe’s first online-only newspaper. Journalism Studies 10 (5):691–708.
   Web of Science ®Google Scholar
• Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis. 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly 27 (3):425–78.
   Web of Science ®Google Scholar
• Von Westarp, F., and O. Wendt. 2000. Diffusion follows structure-a network model of the software market. Proceedings of the 33rd Annual Hawaii International Conference on IEEE, Maui.
   Google Scholar
• Wang, Y. S., C. H. Yeh, and Y. W. Liao. 2013. What drives purchase intention in the context of online content services? The moderating role of ethical self-efficacy for online piracy. International Journal of Information Management 33 (1):199–208.
   Web of Science ®Google Scholar
• Wetzels, M., G. Odekerken-Schröder, and C. Van Oppen. 2009. Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly 33 (1):177–95.
   Web of Science ®Google Scholar
• Whitehead, J. C., G. C. Blomquist, T. J. Hoban, and W. B. Clifford. 1995. Assessing the validity and reliability of contingent values: A comparison of on-site users, off-site users, and non-users. Journal of Environmental Economics and Management 29 (2):238–51.
   Web of Science ®Google Scholar
• Williams, D., M. Consalvo, S. Caplan, and N. Yee. 2009. Looking for gender: gender roles and behavior among online gamers. Journal of Communication 59 (4):700–25.
   Web of Science ®Google Scholar
• Wu, J., and D. Liu. 2007. The effects of trust and enjoyment on intention to play online games. Journal of Electronic Commerce Research 8 (2):128–40.
   Google Scholar
• Wu, J. H., S. C. Wang, and H. H. Tsai. 2009. Why do players stick to a specific online game? The users and gratifications perspective. Proceedings of the Fifteenth Americas Conference on Information Systems (AMCIS), San Francisco: 351.
   Google Scholar