Information Systems Frontiers

, Volume 15, Issue 4, pp 677–694 | Cite as

Communication in virtual world: Second life and business opportunities

Article
First Online:

Abstract

Second Life is an online 3D virtual world imagined and created by its residents. The residents can communicate, explore, participate in social activities, create and trade virtual properties and services. The most common communication media used in Second Life are text, voice, instant messaging and video conferencing. The purpose of the current study is to investigate why people communicate in Second Life and opportunities of making real business value. An online survey from Second Life residents was performed to study communication behavior and business opportunities in Second Life. The theoretical backgrounds used in this study were the communication theory and social systems and word of mouth communications for consumer learning. The result was focused on the effectiveness and superiority of communication in Second Life among other social networking sites such as Facebook, Myspace and Youtube. The communication is significant to policy makers, managers and leaders for information sharing and decision making.

Keywords

Second Life Virtual world Communication Social networking Online games Business opportunities 
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Notes

Acknowledgement

We would like to extend our thanks to Department of Management Science and Engineering, School of Management, Harbin Institute of Technology, China for providing supports to conduct and complete this study.

References

  1. Arakji, R. Y., & Lang, K. R. (2008). Avatar business value analyses: A method for the evaluation of business value creation in virtual commerce. Journal of Electronic Commerce Research, 9(3), 207–218.Google Scholar
  2. Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares approach to causal modeling: Personal computer adoption and use as an illustration. Technology Study, 2, 285–309.Google Scholar
  3. BBC News (2006). Security breach hits online world. Retrieved 14th January 2009, from http://news.bbc.co.uk/2/hi/technology/5333996.stm
  4. Bennett, J., & Beith, M. (2007). Alternate universe [electronic version], newsweekly. Retrieved 15th January 2009, from http://www.newsweek.com/id/32824
  5. Birdwhistell, R. L. (1970). Kinesics and context: Essays on body motion communication. University of Pennsylvania Publications in Conduct and Communication p. 338.Google Scholar
  6. Blackwell, R. D., Miniard, P. W., Engel, J. F. (2001). Consumer behavior. Orlando, FL.Google Scholar
  7. Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.Google Scholar
  8. Bray, D., & Konsynski, B. (2007)v Virtual worlds: Mutli-disciplinary research opportunities. The Database for Advanced Information Systems 38(4). Retrieved March 2nd 2009, from http://ssrn.com/abstract=1016485
  9. Bruckman, A., & Jensen, C. (2002). Building virtual communities: Learning and change in cyberspace (pp. 21–33). New York: Cambridge University Press.CrossRefGoogle Scholar
  10. Castranova, E. (2005). Synthetic worlds: The business and culture of online games. Chicago: The University of Chicago Press.Google Scholar
  11. Castranova, E. (2001). Virtual worlds: A first-hand account of market and society on the Cyberian frontier. CESinfo Working Paper, No. 618.Google Scholar
  12. Chambers, J. (2005). The sponsered avatar: Examining the present reality and future possibilities of advertising in digital games, in Proceedings of DiGRA 2005 Conference: Changing Views Worlds in Play.Google Scholar
  13. Chesney, T., Chuah, S., Hoffmann, R. (2007). Virtual world experimentation: An exploratory study. Retrieved 20th March 2008, from http://ssrn.com/abstract=1068225
  14. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Mahwah: Lawrence Erlbaum Associates.Google Scholar
  15. Chin, W. W. (2001). PLS-graph user’s guide version 3.0. Houston: C.T. Bauer College of Business, University of Houston.Google Scholar
  16. Claypool, M., & Claypool, K. (2006). Latency and player actions in online games. Communications of the ACM, 49(11), 40–45.CrossRefGoogle Scholar
  17. Clemons, E. K. (2009). The complex problem of monetizing virtual electronic social networks. Decision Support Systems, 47(4), 46–56.CrossRefGoogle Scholar
  18. Compeau, D. R., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computing technology: A longitudinal study. MIS Quarterly, 23(2), 145–158.CrossRefGoogle Scholar
  19. Davis, J. P., Steur, K., Pagulayan, R. (2005). A survey method for assessing perceptions of a game: The consumer playtest in game design, game studies 5(1). Retrieved May 19th 2007, from http://www.gamestudies.org
  20. Dubin, R. (1976). Theory building in applied areas, in handbook of industrial and organizational psychology (pp. 17–26). Chicago: Rand McNally College Publishing Co.Google Scholar
  21. Durlak, J. T. (1987). A typology for interactive media. In M. L. McLaughlin (Ed.), Communication yearbook 10. Newbury Park: Sage.Google Scholar
  22. Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. Akron: The University of Akron.Google Scholar
  23. Fornell, C., & Bookstein, L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19, 440–452.CrossRefGoogle Scholar
  24. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equations models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.CrossRefGoogle Scholar
  25. Fteschrin, M., & Lattermann, C. (2008). User acceptance of virtual world. Journal of Electronic Commerce, 9(3), 231–242.Google Scholar
  26. Gartner, Inc. Press Release (2007). Available at: www.gartner.com/it/page.jsp?id=503861 (accessed 4 March 2009).
  27. Guo, Y., & Barnes, S. (2007). Why people buy virtual items in virtual worlds with real money. The Data Base for Advances in Information Systems, 38(4), 69–76.CrossRefGoogle Scholar
  28. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis with readings. Englewood Cliffs: Prentice Hall.Google Scholar
  29. Heckel, P. (1991). The elements of friendly software design (new ed.). Alameda: SYBEX.Google Scholar
  30. Held, R. M., & Durlach, N. I. (1992). Telepresence and presence. Teleoperators and Virtual Environments, 1(1), 102–112.Google Scholar
  31. Hemp, P. (2006). Avatar-based marketing. Harvard Business Review, 84(6), 48–57.Google Scholar
  32. Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50–68.CrossRefGoogle Scholar
  33. Holsapple, C. W., Pakath, R., & Sasidharan, S. (2005). A website interface design framework for the cognitively impaired: A study in the context of Alzheimer’s disease. Journal of Electronic Commerce Research, 6(4), 291–303.Google Scholar
  34. Hunter, D., & Lastowka, F. (2005). The laws of the virtual worlds. California Law Review, 92(1).Google Scholar
  35. Hustad, E., & Teigland, R. (2008). Implementing social networking media and web 2.0 in multinationals: Implications for knowledge management. Proceedings of The 9th European Conference on Knowledge Management, 323–331.Google Scholar
  36. Jiming, W., Peng, T. C., & Rao, S. (2008). Why they enjoy virtual game worlds? an empirical investigation. Journal of Electronic Commerce Research, 9, 219–230.Google Scholar
  37. Kevin, S. L. (2007). The online identity and deviant behavior: Who are you in MMORPG? USA: Carnegie Mellon University.Google Scholar
  38. Kim, K. H., Park, J. Y., Kim, D. Y., Moon, H. I., & Chun, H. C. (2002). E-lifestyle and motives to use online games. Irish Marketing Review, 15(2), 71–77.Google Scholar
  39. Kleeberger, J. (2002). Online-gaming as a marketing and sales catalyst. Switzerland: Department of Media and Communication, University of St. Gallen.Google Scholar
  40. Laurel, B. (1986). Interface as mimesis. In D. N. Norman & S. W. Draper (Eds.), User-centered system design (pp. 67–86). Hillsdale: Lawrence Erlbaum Associates.Google Scholar
  41. Leimster, J. M., Pascal, S., Helmut K. (2004). Success factors of virtual communities from the perspective of members and operators: An empirical study, 2004. 37th Hawai International Conference on System Sciences.Google Scholar
  42. Leo, S. W., & Kim, J. Y. (2005). The comparison of online game experiences by players in games of ‘lineage’ and ‘everquest’: Role play vs. consumption. Digra conference: Changing views- worlds in play.Google Scholar
  43. Lohmoller, J. (1989). Latent variable path modeling with partial least squares. Heidelberg: Physica-Verlag.CrossRefGoogle Scholar
  44. Lowry, P. B., Robert, T. L., Romano, N. C., Cheney, P. D., & Hightower, R. T. (2006). The impact of group size and social presence on small-group communication. Small Group Research, 3796, 631–661.CrossRefGoogle Scholar
  45. Lucia, A. D., Francese, R., Passero, I., & Tortora, G. (2008). Development and evolution of a virtual campus on second life: The case of second DMI. Computers in Education, 52, 220–233.CrossRefGoogle Scholar
  46. Lui, T. W., Piccoli, G., & Ives, B. (2007). Marketing strategies in virtual worlds. The Data Base for Advances in Information Systems, 38(4), 77–80.CrossRefGoogle Scholar
  47. Manly, B. F. (1994). Factor analysis. In B. F. J. Manly (Ed.), Multivariate statistical methods. London: Chapman and Hall.Google Scholar
  48. March, F., & Christoph, L. (2008). User acceptance of virtual world. Journal of Electronic Commerce, 9(3), 231–242.Google Scholar
  49. Markus, M. L. (1994). Electronic mail as the medium of managerial choice. Organization Science, 5(4), 502–527.CrossRefGoogle Scholar
  50. Messinger, P. R., Stroulia, E., Lyons, K., Bone, M., Niud, R. H., Smirnova, K., & Perelgute, S. (2009). Virtual worlds-past, present and future: New direction in social computing. Decision Support Systems, 47, 204–228.CrossRefGoogle Scholar
  51. Miller, K. (2005). Communication theories: Perspectives, processes, and contexts (2nd ed.). New York: McGraw-Hill.Google Scholar
  52. Nass, C., & Moon, Y. (2000). Machines and mindlessness: Social responses to computers. Journal of Social Issues, 56(1), 81–103.CrossRefGoogle Scholar
  53. Norman, D. N. (1988). The design of everyday things. New York: Doubleday.Google Scholar
  54. O’Reilly, T. (2005). What is web 2.0? [web log post]. Retrieved June 23rd 2011, from http://oreilly.com/web2/archive/what-is-web-20.html
  55. Peter, R., Mark, B., Aukje, T., & Marcia, L. (2008). Face to face with white rabbit: Sharing ideas in second life. New Zealand: Victoria University of Wellington.Google Scholar
  56. Rafaeli, S., & Sudweeks, F. (1994). Interactivity on the nets, information systems and human communication technology divisions, in ICA Annual Conference (Sydney, Australia, 1994).Google Scholar
  57. Reeves, B., & Nass, C. I. (1996). The media equation: How people treat computers, television and new media real people and places. Stanford: CSLI Publications.Google Scholar
  58. Riva, G. (1997). Virtual reality as assessment tool in psychology: Virtual reality in neuro-psycho-physiology, Netherlands. International Journal o f Information Management, 17(4), 261–270.CrossRefGoogle Scholar
  59. Roche, E. (2007). Setting the research agenda. The Database for Advances in Information Systems, 38(4), 7–10.Google Scholar
  60. Sheridan, T. B. (1992). Musings on Telepresence and Virtual Presence, 1(1), 120–126.Google Scholar
  61. Social Research Foundation. (2008). Second life survey. New York: Social Research Foundation.Google Scholar
  62. Sundar, S. S., & Nass, C. (2000). Source orientation in human-computer interaction: Programmer, networker, or independent social actor? Communication Research, 27(6), 683–703.CrossRefGoogle Scholar
  63. Steve, H., Sharon, G., Miko, A., et al. (2008). Collaboration opportunities in second life: Collective experiences (pp. 114–119). Australia: University of Western Sydney.Google Scholar
  64. Talamasca, A. (2006). Second life addiction: Do you have a problem? retrieved June 12th 2007, from http://www.secondlifeinsider.com/2006/10/13/sl-addiction-do-you-have-aproblem/
  65. Teltzrow, M., Meyer, B., & Lenz, H. J. (2007). Multi-channel consumer perceptions. Journal of Electronic Commerce Research, 8(1), 18–31.Google Scholar
  66. Valck, K. D., Bruggen, G. H., & Wierenga, B. (2009). Virtual communities: A marketing perspective. Decision Support System, 47, 185–203.CrossRefGoogle Scholar
  67. Vedrashko, I. (2006). Advertising in computer games. Cambridge: Department of Comparative and Media Studies, Massachusetts Institute of Technology.Google Scholar
  68. Wu, J., & Liu, D. (2007). The effects of trust and enjoyment on intention to play online games. Journal of Electronic Commerce Research, 8, 128–140.Google Scholar
  69. Yee, N., Bailenson, J. N., Urbanek, M., Chang, F., & Merget, D. (2007). The unbearable likeness of being digital: The persistence of nonverbal social norms in online virtual environments. Cyber Psychology and Behavior, 10(1), 115–121.CrossRefGoogle Scholar
  70. Yee, N. (2001). The Norrathian scrolls: A study of everquest. Retrieved October 10th 2008, from http://www.nickyee.com/eqt/report.html
  71. Yi, M. Y., & Davis, F. D. (2003). Developing and validating an observational learning model of computer software training and skill acquisition. Information Systems Research, 14(2), 146–169.CrossRefGoogle Scholar
  72. Younghwa, L., Kozar, K. A., & Larsen, K. R. (2007). Avatar e-mail verses traditional e-mail: Perceptual difference and media selection difference. Decision Support Systems, 46(2), 451–467.Google Scholar
  73. Zhuang, Y. (2005). Does electronic business create value for firms? an organizational innovation perspective. Journal of Electronic Commerce Research, 6(2), 146–159.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.School of ManagementHarbin Institute of TechnologyHarbinPeople’s Republic of China

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