Skip to main content
Log in

Information markets over trust networks

  • Published:
Electronic Commerce Research Aims and scope Submit manuscript

Abstract

Information markets are inefficient. Information products have large upfront development costs, yet their duplication costs are negligibly small; and they are experience goods with high costs of marketing and promotion. As a result, either winner-take-all markets are created through large and expensive promotional campaigns, or artificial monopoly power is conferred by the government through copyright protection, or both, to prevent the collapse of these markets from intense price competition and piracy. Such inefficiency creates opportunities to design more efficient markets by utilizing new technologies. Trust networks provide such an opportunity where the network infrastructure acts not only as a distribution system for information products, but also as an advertising and promotion medium, a payment and pricing mechanism, a guarantee and insurance service, and a copyright enforcement and dispute resolution tool. Such a network-centric market place is proposed to remedy many of the shortcomings of mass markets by relying on peer-to-peer distribution, peer-to-peer payments, and peer-to-peer enforcement of trust and integrity. Analytical models are presented to show that such a market place for information goods can scale up to satisfy large markets without expensive promotions and advertising campaigns, create customized products with dynamic pricing, reduce entry costs by eliminating the distinction between buyers and sellers, and eliminate the need for copyright protection.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Andersen, R. et al. (2008). Trust-based recommendation systems: An axiomatic approach. Proceedings of WWW conference. pp. 199–208.

  2. Adomavicius, G., Tuzhilin, A., & Zheng, R. (2011). REQUEST: A query language for customizing recommendations. Information Systems Research, 22, 1.

    Article  Google Scholar 

  3. Arora, G., Hanneghan, M., & Merabti, M. (2005). P2P commercial digital content exchange. Electronic Commerce Research and Applications, 4(3), 250–263.

    Article  Google Scholar 

  4. Asvanund, A., et al. (2004). An empirical analysis of network effects in peer-to-peer music sharing networks. Information Systems Research, 15(2), 155–174.

    Article  Google Scholar 

  5. Bakos, Y., Brynjolfsson, E., & Lichtman, D. (1999). Shared information goods. Journal of Law and Economics, 42(1), 117–156.

    Article  Google Scholar 

  6. Chesbrough, H., & Spohrer, J. (2006). A research manifesto for services science. Communications of the ACM, 49(7), 35–40.

    Article  Google Scholar 

  7. Conley, J. P., & Yoo, C. S. (2009). Nonrivalry and price discrimination in copyright economics. University of Pennsylvania Law Review.

  8. Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407–1424.

    Article  Google Scholar 

  9. Dockner, E. J., & Frucghter, G. E. (2004). Dynamic strategic pricing and the speed of diffusion. Journal of Optimization Theory and Applications, 13(2), 331–348.

    Article  Google Scholar 

  10. Easley, D., & Kleinberg, J. (2010). Networks, crowds, and markets. Cambridge: Cambridge Press.

    Book  Google Scholar 

  11. Frank, R. (1996). Winner take all society. New York: Penguin Books.

    Google Scholar 

  12. Feng, Y., Guo, Z., & Chiang, W. K. (2009). Optimal digital content distribution in the presence of consumer-to-consumer channel. Journal of Management Information Systems, 25(4), 241–270.

    Article  Google Scholar 

  13. Galbreth, M. R., Ghosh, B., & Shor, M. (2012). Social sharing of information goods: Implications for pricing and profits. Marketing Science, 31(4), 603–620.

    Article  Google Scholar 

  14. Goetsch, K. (2014). Ecommerce in the cloud. New York: O’Reilly.

    Google Scholar 

  15. Guha, R., Kumar, R., Raghaven, P., & Tomkins, A. (2004). Propagation of trust and distrust. Proceedings of conference on WWW. pp. 403–412.

  16. Handy, C. (1995). Trust and the virtual organization. Harvard Business Review, 73(3), 40–50.

    Google Scholar 

  17. Hosanagar, K., Han, P., & Tan, Y. (2010). Diffusion models for peer-to-peer (P2P) media distribution: On the impact of decentralized. Constrained Supply. Information Systems Research, 21(2), 271–287.

    Article  Google Scholar 

  18. Josang, A., Ismail, R., & Boyd, C. (2007). A survey of trust and reputation systems for online service provision. Decision Support Systems, 43(2), 618–644.

    Article  Google Scholar 

  19. Khouja, M., et al. (2008). Application of complex adaptive systems to pricing of reproducible information goods. Decision Support Systems, 44, 725–739.

    Article  Google Scholar 

  20. Kim, Y. A. (2015). An enhanced trust propagation approach with expertise and homophily-based trust networks. Knowledge Based Systems, 82, 20–28.

    Article  Google Scholar 

  21. Krishnan, T. V., Bass, F., & Jain, D. C. (1999). Optimal pricing strategy for new products. Management Science, 45(12), 1650–1663.

    Article  Google Scholar 

  22. Lang, K., & Vragov, R. (2005). A pricing mechanism for digital content distribution over peer-to-peer networks. Journal of Management Information Systems, 22(2), 121–139.

    Google Scholar 

  23. Lessig, L. (2008). Remix: making art and commerce thrive in a hybrid economy. New York: Penguin Press.

    Book  Google Scholar 

  24. Li, Y. M., Lin, C. H., & Lai, C. Y. (2010). Identifying influential reviewers for word-of-mouth marketing. Electronic Commerce Research Applications, 9, 294–304.

    Article  Google Scholar 

  25. Liu, S., et al. (2015). Identifying effective influencers on trust for electronic word of mouth marketing: A domain aware approach. Information Sciences, 306, 34–52.

    Article  Google Scholar 

  26. Lopez-Pintado, D. (2008). Diffusion in complex social networks. Games and Economic Behavior, 62(2), 573–590.

    Article  Google Scholar 

  27. McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359.

    Article  Google Scholar 

  28. Orman, L. (2013). Bayesian inference in trust networks. ACM Transactions on MIS, 4(2), 1–26.

    Google Scholar 

  29. Orman, L. (2011). The potential of virtual institutions. IEEE Technology and Society, 30(1), 56–64.

    Article  Google Scholar 

  30. Postmes, T., & Branscombe, N. (2010). Rediscovering social identity. New York: Psychology Press.

    Google Scholar 

  31. Sundarajan, A. (2004). Managing Digital Piracy: pricing and protection. Information Systems Research, 15(3), 287–308.

  32. Swaminathan, A., et al. (2010). Relating reputation and money in online markets. ACM Transactions on the Web, 4(4), 17.

    Article  Google Scholar 

  33. Tunca, T., & Wu, Q. (2013). Fighting fire with fire: Commercial piracy and the role file sharing on copyright protection policy for digital goods. Information Systems Research, 24(2), 436–453.

    Article  Google Scholar 

  34. Vega-Redondo, F. (2007). Complex social networks. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  35. Wei, W., & Ram, S. (2012). Using a network analysis approach for organizing social bookmarking tags and enabling web content discovery. ACM Transactions on MIS, 3(3), 15.

    Google Scholar 

  36. Wei, X., & Nault, B. R. (2013). Experience information goods: Version to upgrade. Decision Support Systems, 56(12), 494–501.

    Article  Google Scholar 

  37. Xiong, L., & Liu, L. (2004). Peertrust: Supporting reputation-based trust for peer to peer electronic communities. IEEE Transactions on Knowledge and Data Engineering, 16(7), 843–857.

    Article  Google Scholar 

  38. Ziegler, C. (2009). On propagating interpersonal trust in social networks. In Computing with Social Trust (pp.133–168). New York: Springer.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Levent V. Orman.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Orman, L.V. Information markets over trust networks. Electron Commer Res 16, 529–551 (2016). https://doi.org/10.1007/s10660-016-9219-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10660-016-9219-6

Keywords

Navigation