Electronic Markets

, Volume 24, Issue 3, pp 165–177 | Cite as

Satisfaction with virtual communities in B2B financial services: social dynamics, content and technology

  • Evangelos Chompis
  • Roger W. H. Bons
  • Bart van den Hooff
  • Frans Feldberg
  • Hans Horn
General Research


This study explores satisfaction with Virtual Communities in a Financial Services setting. Based on Expectancy Value Theory and the concept of Experiential Value we hypothesize that three sources of value drive user satisfaction in a B2B-VC: social ties, content and technology. We propose a theoretical model to operationalize these concepts. The hypotheses in the model are tested via a Partial Least Square analysis on data gathered via a survey among participants in a leading Virtual Community in the Financial Services industry. As such, we aim to contribute to the growing body of knowledge on Social Media, in particular addressing the relatively unexplored domain of Business-to-Business (B2B) where individuals act on behalf of a company instead of their own interests. Our findings show that user satisfaction in a B2B-VC is driven by the three aforementioned sources of value.


Virtual communities Social media Business to business 

JEL classification

2.20.9: Surveys 3.130: E-Commerce 3.490: Social networking 3.540: Virtual communities 5.030: Finance 


  1. Achrol, R. S. (1997). Changes in the theory of interorganizational relations in marketing: toward a network paradigm. Journal of the Academy of Marketing Science, 25(1), 56–71. doi:10.1007/BF02894509.CrossRefGoogle Scholar
  2. Armstrong, A., & Hagel, J. (1996). The real value of on-line communities. Harvard Business Review Butterworth Heinemann, 74, 134–141.Google Scholar
  3. Au, N., Ngai, E. W. T., & Cheng, T. C. E. (2008). Extending the understanding of end user information systems satisfaction formation: an equitable needs fulfillment model approach. MIS Quarterly, 32(1), 43–66.Google Scholar
  4. Barnatt, C. (1998). Virtual communities and financial services - on-line business potentials and strategic choice. The International Journal of Bank Marketing, 16(4), 161–169.CrossRefGoogle Scholar
  5. Bhattacherjee, A., & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: a theoretical model and longitudinal test. MIS Quarterly, 28(2), 229–254.Google Scholar
  6. Blau, P. M. (1964). Exchange and power in social life. New York: Wiley.Google Scholar
  7. Boyd, D. E., & Spekman, R. E. (2004). Internet usage within B2B relationships and its impact on value creation: a conceptual model and research propositions. Journal of Business toBusiness Marketing, 11(1), 9–34.CrossRefGoogle Scholar
  8. Bulearca, M. (2010). Twitter: a viable marketing tool for SMEs. Global Business Management Research, 2(4), 296–309.Google Scholar
  9. Chen, L., Gillenson, M., & Sherrell, D. L. (2002). Enticing on-line consumers: an extended technology acceptance perspective. Information Management, 39, 705–719.CrossRefGoogle Scholar
  10. 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
  11. Cothrel, J. P. (2000). Measuring the success of an online community. Journal of Strategy Leadership, 28(2), 17–21.CrossRefGoogle Scholar
  12. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.CrossRefGoogle Scholar
  13. Di Gangi, P. M., & Wasko, M. (2009). The co-creation of value: exploring user engagement in user-generated content websites sprouts. Working Papers on Information Systems, 9.Google Scholar
  14. Eighmey, J. (1997). Profiling user responses to commercial web sites. Journal of Advertising Research, 37(3), 59–66.Google Scholar
  15. Ennew, C. T., & Binks, M. R. (1999). Impact of participative service relationships on quality, satisfaction and retention: an exploratory study. Journal of Business Research, 46(2), 121–132.CrossRefGoogle Scholar
  16. Fishbein, M., & Ajzen, I. (2011). Predicting and changing behavior: the reasoned action approach.Google Scholar
  17. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.CrossRefGoogle Scholar
  18. Fueller, J., Bartl, M., Ernst, H., & Muehlbacher, H. (2006). Community based innovation: how to integrate members of virtual communities into new product development. Electronic Commerce Research, 6(1), 57–73.CrossRefGoogle Scholar
  19. Ganesan, S. (1994). Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing, 58(2), 1–19.CrossRefGoogle Scholar
  20. Gefen, D. (2002). Nurturing clients’ trust to encourage engagement success during the customization of ERP systems. Omega, 30(4), 287–299.CrossRefGoogle Scholar
  21. Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease of use in IS adoption: a atudy of e-commerce adoption. Journal of the Association for Information Systems, 1(8), 1–30.Google Scholar
  22. Gefen, D., & Straub, D. W. (2005). Pls-graph: tutorial and annotated example. Communications of the Association for Information Systems, 16(5), 91–109.Google Scholar
  23. Glassberg, B. C., & Merhout, J. W. (2007). Electronic markets hypothesis redux. Communications of the ACM, 50(2), 51–55. doi:10.1145/1216016.1216020.CrossRefGoogle Scholar
  24. Gorla, N., Somers, T. M., & Wong, B. (2010). Organizational impact of system quality, information quality, and service quality. Journal of Strategic Information Systems, 19(3), 207–228.CrossRefGoogle Scholar
  25. Gustafsson, A., Johnson, M., & Roos, I. (2005). The effects of customer satisfaction, relationship commitment dimensions, and triggers on customer retention. Journal of Marketing, 69(4), 210–218.CrossRefGoogle Scholar
  26. Hair, J. F. J., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis with readings. New Jersey: Prentice Hall.Google Scholar
  27. Hausman, A. V. (2003). Professional service relationships: a multi-context study of factors impacting satisfaction, re-patronization, and recommendations. Journal of Services Marketing, 17(3), 226–242.CrossRefGoogle Scholar
  28. Hennig-Thurau, T., & Klee, A. (1997). The impact of customer satisfaction and relationship quality on customer retention: a critical reassessment and model development. Journal of Psychology and Marketing, 14(8), 737–764.CrossRefGoogle Scholar
  29. Henseler, J., Ringle, C., & Sinkovics, R. (2009). The use of partial least squares path modeling in international marketing. Advances in International.Google Scholar
  30. Hong, S., Thong, J. Y. L., & Tam, K. (2006). Understanding continued information technology usage behavior: a comparison of three models in the context of mobile internet. Decision Support Systems, 42, 1819–1834.CrossRefGoogle Scholar
  31. Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strategic management journal.Google Scholar
  32. Hummel, J., & Lechner, U. (2002). Social profiles of virtual communities. In 35th annual hawaii international conference on system sciences (pp. 2245–2254).CrossRefGoogle Scholar
  33. Iivari, J. (2005). An empirical test of the DeLone-McLean model of information system success. The Data Base for Advances in Information Systems, 36(2), 8–27.CrossRefGoogle Scholar
  34. Jang, H., Ko, S., & Koh, J. (2008). The influence of on-line brand community characteristics on community commitment and brand loyalty. International Journal of Electronic Commerce, 12(3), 57–80.CrossRefGoogle Scholar
  35. Jarvenpaa, S. L., & Leidner, D. E. (1998). Communication and Trust in Global Virtual Teams. Journal of Computer-Mediated Communication, 3(4). doi:10.1111/j.1083-6101.1998.tb00080.x.Google Scholar
  36. Johnson, S. L., & Butler, B. (2010). New directions on online community research. ICIS 2010 Proceedings.Google Scholar
  37. Johnson, D., & Grayson, K. (2005). Cognitive and affective trust in service relationships. Journal of Business research.Google Scholar
  38. Kannan, P. K., Chang, A. M., & Whinston, A. B. (2000). Electronic communities in e-business: their role and issues. Information Systems Frontiers, 1(4), 415–426.CrossRefGoogle Scholar
  39. Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59–68.CrossRefGoogle Scholar
  40. Kardaras, D., Karakostas, B., & Papathanassiou, E. (2003). The potential of virtual communities in the insurance industry in the UK and Greece. International Journal of Information Management, 23(1), 41–53.CrossRefGoogle Scholar
  41. Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54(3), 241–251.CrossRefGoogle Scholar
  42. Kim, A. (2000). Community building on the web: secret strategies for successful online communities. Journal of Empirical Research on Human Research Ethics, 3(1), 380.Google Scholar
  43. Koufaris, M., & Hampton-Sosa, W. (2004). The development of initial trust in an online company by new customers. Information Management, 41(3), 377–397.CrossRefGoogle Scholar
  44. Kozinets, R. V. (1999). E-tribalized marketing?: the strategic implications of virtual communities of consumption. European Management Journal, 17(3), 252–264.CrossRefGoogle Scholar
  45. Kramer, R. M. (1999). Trust and distrust in organizations: emerging perspectives, enduring questions. Annual Review of Psychology, 50(1), 569–598.CrossRefGoogle Scholar
  46. Lee, F., Vogel, D., & Limayem, M. (2003). Virtual community informatics: a review and research agenda. Journal of Information Technology.Google Scholar
  47. Leimeister, J., & Krcmar, H. (2004). Revisiting the Virtual community business model. Proceedings of the Tenth American Conference on Information Systems (pp. 1–11). New York, NY.Google Scholar
  48. Li, H. (2004). Virtual community studies: a literature review, synthesis and research agenda. Proceedings of the Tenth American Conference on Information Systems. New York, NY.Google Scholar
  49. Lin, H.-F. (2007). The role of online and offline features in sustaining virtual communities: an empirical study. Internet Research, 17(2), 119–138.CrossRefGoogle Scholar
  50. Lin, H.-F. (2008a). Determinants of successful virtual communities: contributions from system characteristics and social factors. Information Management, 45(8), 522–527.CrossRefGoogle Scholar
  51. Lin, H.-F. (2008b). Antecedents of virtual community satisfaction and loyalty: an empirical test of competing theories. Cybernetics Psychology and Behavior, 11(2), 138–144.CrossRefGoogle Scholar
  52. Lin, H. F. (2011). An empirical investigation of mobile banking adoption: the effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252–260.CrossRefGoogle Scholar
  53. Lin, H. F., & Lee, G. G. (2006). Determinants of success for online communities: an empirical study. Behaviour & Information Technology, 25(6), 479–488.CrossRefGoogle Scholar
  54. Lin, J. C. C., & Lu, H. (2000). Towards an understanding of the behavioral intention to use a web site. International Journal of Information Management, 20(3), 197–208.CrossRefGoogle Scholar
  55. Mathwick, C., Malhotra, N., & Ridgon, E. (2001). Experiential value: conceptualization, measurement and application in the catalog and internet shopping environment. Journal of Retailing, 77(1), 39–56.CrossRefGoogle Scholar
  56. Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. The Academy of Management Review, 20(3), 709–734.Google Scholar
  57. McAllister, D. J. (1995). Affect—and cognition-based trust as foundations for interpersonal cooperation in organizations. The Academy of Management Journal, 38(1), 24–59.CrossRefGoogle Scholar
  58. Mittal, V., & Kamakura, W. A. (2001). Satisfaction, repurchase intent, and repurchase behavior: investigating the moderating effect of customer characteristics. Journal of Marketing Research, 38(1), 131–142.CrossRefGoogle Scholar
  59. Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a world-wide-web context. Information Management, 38(4), 217–230.CrossRefGoogle Scholar
  60. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). Servqual—a multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.Google Scholar
  61. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.Google Scholar
  62. Perkowitz, M., & Etzioni, O. (1999). Towards adaptive Web sites: conceptual framework and case study. Computer Networks, 31(11–16), 1245–1258.CrossRefGoogle Scholar
  63. Prahalad, C. K., & Ramaswamy, V. (2004). Co-creating unique value with customers. Strategy & Leadership, 32(3), 4–9.CrossRefGoogle Scholar
  64. Rheingold, H. (1993). The virtual community : homesteading on the electronic frontier. Reading, Mass., [etc.], Addison-Wesley (Vol. 0, p. 0).Google Scholar
  65. Ridings, C. M., & Gefen, D. (2004). Virtual community attraction: why people hang out online. Journal of Computer-Mediated Communication, 10(1).Google Scholar
  66. Ridings, C. M., Gefen, D., & Arinze, B. (2002). Some antecedents and effects of trust in virtual communities. The Journal of Strategic Information Systems, 11(3–4), 271–295.CrossRefGoogle Scholar
  67. Ringle, C. M., & Wende, S. (2005). SmartPLS 2.0 M3. Available at http://www.smartpls.de.
  68. Rothaermel, F. T., & Sugiyama, S. (2001). Virtual internet communities and commercial success: individual and community-level theory grounded in the atypical case of timezone.com. Journal of Management, 27(3), 297–312.CrossRefGoogle Scholar
  69. Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: a cross-discipline view of trust. The Academy of Management Review, 23(3), 393–404.CrossRefGoogle Scholar
  70. Schaffer, N. (2009). Windmill networking: understanding, leveraging & maximizing linkedin. Social networking in a Web 2.0World,BookSurge Publishing (Vol. 0, p. 0).Google Scholar
  71. Smith, D. (2010). Key issues for Web 2.0 and beyond. Gartner Research.Google Scholar
  72. Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., Lauro, C., & EspositoVinzi, V. (2005). PLS path modeling. Computational Statistics and Data Analysis, 48(1), 159–205. doi:10.1016/j.csda.2004.03.005.CrossRefGoogle Scholar
  73. Teo, T. S. H., Lim, V. K. G., & Lai, R. Y. C. (1999). Intrinsic and extrinsic motivation in Internet usage. Omega, 27(1), 25–37.CrossRefGoogle Scholar
  74. Valtakoski, A., & J. Peltonen, et al. (2010). Peer-to-peer service quality and its consequences in virtual communities. AMCIS 2010 Proceedings.Google Scholar
  75. Venkatesh, V., & Davis, F. D. (2000). theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186–204.CrossRefGoogle Scholar
  76. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425–478.Google Scholar
  77. Verhagen, T., Feldberg, F., Den Hooff, B., Meents, S., & Merikivi, J. (2011). Satisfaction with virtual worlds: an integrated model of experiential value. Information Management, 48(6), 201–207.CrossRefGoogle Scholar
  78. Walther, J. (1995). Relational aspects of computer-mediated communication: experimental observations over time. Organization Science, 6(2), 186–203.CrossRefGoogle Scholar
  79. Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85–102.CrossRefGoogle Scholar
  80. Yang, Z., Cai, S., Zhou, Z., & Zhou, N. (2005). Development and validation of an instrument to measure user perceived service quality of information presenting web portals. Information Management, 42(4), 575–589.CrossRefGoogle Scholar
  81. Yorke, D. (1990). Developing an interactive approach to the marketing of professional services. London: Sage.Google Scholar

Copyright information

© Institute of Information Management, University of St. Gallen 2014

Authors and Affiliations

  • Evangelos Chompis
    • 1
  • Roger W. H. Bons
    • 2
  • Bart van den Hooff
    • 1
  • Frans Feldberg
    • 1
  • Hans Horn
    • 1
  1. 1.Department of Information Systems, Logistics & InnovationVU University AmsterdamAmsterdamThe Netherlands
  2. 2.Bons Academic ServicesAmsterdamThe Netherlands

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