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Increasing User Engagement and Virtual Goods Life Span Through Products Diversity and Intensity of Content Updates

  • Kamil Bortko
  • Piotr Bartków
  • Patryk Pazura
  • Jarosław JankowskiEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11432)

Abstract

The virtual goods sector has become one of the main business models for social platforms, games and virtual worlds. While online systems are under continuous development, their users require frequent updates of virtual goods, new digital content and functionality. System developers face dilemmas concerning the frequency of updates or content drops to decrease the habituation effect and increase the life span of digital products. The presented research shows how the diversity and number of virtual products can increase user engagement and interest in new products. Apart from the empirical study, a multi-criteria decision support model is proposed for the evaluation of strategies used in system updates and virtual goods distribution.

Notes

Acknowledgments

The work was supported by the National Science Centre of Poland, the decision no. 2017/27/B/HS4/01216.

References

  1. 1.
    Alha, K., Koskinen, E., Paavilainen, J., Hamari, J.: Critical acclaim and commercial success in mobile free-to-play games. In: DiGRA/FDG (2016)Google Scholar
  2. 2.
    Alha, K., Koskinen, E., Paavilainen, J., Hamari, J., Kinnunen, J.: Free-to-play games: professionals’ perspectives. In: Proceedings of Nordic DiGRA 2014 (2014)Google Scholar
  3. 3.
    Bainbridge, W.S.: The scientific research potential of virtual worlds. Science 317(5837), 472–476 (2007)CrossRefGoogle Scholar
  4. 4.
    Bakshy, E., Karrer, B., Adamic, L.A.: Social influence and the diffusion of user-created content. In: Proceedings of the 10th ACM Conference on Electronic Commerce, pp. 325–334. ACM (2009)Google Scholar
  5. 5.
    Brans, J.P., Mareschal, B.: The PROMCALC & GAIA decision support system for multicriteria decision aid. Decis. Support Syst. 12(4–5), 297–310 (1994)CrossRefGoogle Scholar
  6. 6.
    Brans, J.P., Vincke, P., Mareschal, B.: How to select and how to rank projects: the Promethee method. Eur. J. Oper. Res. 24(2), 228–238 (1986)MathSciNetCrossRefGoogle Scholar
  7. 7.
    Castronova, E.: Virtual worlds: a first-hand account of market and society on the Cyberian frontier (2001)Google Scholar
  8. 8.
    Chiu, H.C., Hsieh, Y.C., Kao, Y.H., Lee, M.: The determinants of email receivers’ disseminating behaviors on the internet. J. Advertising Res. 47(4), 524–534 (2007)CrossRefGoogle Scholar
  9. 9.
    Hamari, J.: Why do people buy virtual goods? Attitude toward virtual good purchases versus game enjoyment. Int. J. Inf. Manage. 35(3), 299–308 (2015)CrossRefGoogle Scholar
  10. 10.
    Hamari, J., Järvinen, A.: Building customer relationship through game mechanics in social games. In: Business, Technological, and Social Dimensions of Computer Games: Multidisciplinary Developments, pp. 348–365. IGI Global (2011)Google Scholar
  11. 11.
    Hamari, J., Keronen, L.: Why do people buy virtual goods? A literature review. In: 2016 49th Hawaii International Conference on System Sciences (HICSS), pp. 1358–1367. IEEE (2016)Google Scholar
  12. 12.
    Hamari, J., Lehdonvirta, V.: Game design as marketing: how game mechanics create demand for virtual goods (2010)Google Scholar
  13. 13.
    Hanner, N., Zarnekow, R.: Purchasing behavior in free to play games: concepts and empirical validation. In: 2015 48th Hawaii International Conference on System Sciences (HICSS), pp. 3326–3335. IEEE (2015)Google Scholar
  14. 14.
    Jankowski, J., Bródka, P., Hamari, J.: A picture is worth a thousand words: an empirical study on the influence of content visibility on diffusion processes within a virtual world. Behav. Inf. Technol. 35(11), 926–945 (2016)CrossRefGoogle Scholar
  15. 15.
    Jankowski, J., Michalski, R., Bródka, P.: A multilayer network dataset of interaction and influence spreading in a virtual world. Sci. Data 4, 170144 (2017)CrossRefGoogle Scholar
  16. 16.
    Jankowski, J., Michalski, R., Kazienko, P.: The multidimensional study of viral campaigns as branching processes. In: Aberer, K., Flache, A., Jager, W., Liu, L., Tang, J., Guéret, C. (eds.) SocInfo 2012. LNCS, vol. 7710, pp. 462–474. Springer, Heidelberg (2012).  https://doi.org/10.1007/978-3-642-35386-4_34CrossRefGoogle Scholar
  17. 17.
    Jankowski, J., Michalski, R., Kazienko, P.: Compensatory seeding in networks with varying avaliability of nodes. In: 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 1242–1249. IEEE (2013)Google Scholar
  18. 18.
    Kaplan, A.M., Haenlein, M.: Consumer use and business potential of virtual worlds: the case of second life. Int. J. Media Manage. 11(3–4), 93–101 (2009)CrossRefGoogle Scholar
  19. 19.
    Kwong, J.A.: Getting the goods on virtual items: a fresh look at transactions in multi-user online environments. Wm. Mitchell L. Rev. 37, 1805 (2010)Google Scholar
  20. 20.
    Lu, H.-P., Wang, S.-m.: The role of internet addiction in online game loyalty: an exploratory study. Internet Res 18(5), 499–519 (2008)Google Scholar
  21. 21.
    Mareschal, B., Brans, J.P., Vincke, P., et al.: Promethee: a new family of outranking methods in multicriteria analysis. ULB-Universite Libre de Bruxelles, Technical report (1984)Google Scholar
  22. 22.
    McPherson, M., Smith-Lovin, L., Cook, J.M.: Birds of a feather: homophily in social networks. Annu. Rev. Sociol. 27(1), 415–444 (2001)CrossRefGoogle Scholar
  23. 23.
    Wathieu, L.: Consumer habituation. Manage. Sci. 50(5), 587–596 (2004)CrossRefGoogle Scholar
  24. 24.
    Wohn, D.Y.: Spending real money: purchasing patterns of virtual goods in an online social game. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 3359–3368. ACM (2014)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Kamil Bortko
    • 1
  • Piotr Bartków
    • 1
  • Patryk Pazura
    • 1
  • Jarosław Jankowski
    • 1
    Email author
  1. 1.Faculty of Computer Science and Information TechnologyWest Pomeranian University of Technology in SzczecinSzczecinPoland

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