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Virtual communities: A marketing perspective

de Valck, Kristine, van Bruggen, Gerrit H., Wierenga, Berend·2009·Decision Support Systems

Abstract

Increasingly, consumers interact through the Internet to share their knowledge, experiences, and opinions. Consequently, 'word-of-mouse' has become a significant market force that influences consumer decision-making. On the basis of extensive quantitative and qualitative research, the authors sketch how consumers make use of virtual communities as social and information networks, and how this affects their decision-making processes. We present three studies that address (i) determinants and effects of virtual community influence on the consumer decision process; (ii) virtual community participation patterns; and (iii) discussion practices of the most active community members. Key implications for managers, marketers, and market researchers are discussed.

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Cites

Research works printed but not linked: 57

  1. Alba, 1987, Dimensions of consumer expertise, Journal of Consumer Research, 13, 10.1086/209080 · DOI · Paper page
  2. Algesheimer, 2005, The social influence of brand community: evidence from European Car Clubs, Journal of Marketing, 68
  3. Arndt, 1967, Role of product-related conversations in the diffusion of a new product, Journal of Marketing Research, 4, 10.2307/3149462 · DOI
  4. Bagozzi, 2002, Intentional social action in virtual communities, Journal of Interactive Marketing, 16, 10.1002/dir.10006 · DOI · Paper page
  5. Bearden, 1982, Reference group influence on product and brand purchase decisions, Journal of Consumer Research, 9, 10.1086/208911 · DOI
  6. Bearden, 1989, Measurement of consumer susceptibility to interpersonal influence, Journal of Consumer Research, 15, 10.1086/209186 · DOI · Paper page
  7. Bickart, 2001, Internet forums as influential sources of consumer information, Journal of Interactive Marketing, 15, 10.1002/dir.1014 · DOI · Paper page
  8. Bristor, 1990, Enhanced explanations of word of mouth communications: the power of relationships, Research in Consumer Behavior, 4
  9. Broussard, 2000, How advertising frequency can work to build online advertising effectiveness, International Journal of Market Research, 42, 10.1177/147078530004200406 · DOI
  10. Brown, 2002, The case for online communities, McKinsey Quarterly
  11. Burnkrant, 1975, Informational and normative social influence in buyer behavior, Journal of Consumer Research, 2, 10.1086/208633 · DOI
  12. Cannon, 1999, Buyer–seller relationships in business markets, Journal of Marketing Research, 36, 10.2307/3151999 · DOI
  13. Catterall, 2002, Researching consumers in virtual worlds: a cyberspace odyssey, Journal of Consumer Behaviour, 1, 10.1002/cb.68 · DOI
  14. Chatterjee, 2001, vol. 28
  15. Constant, 1996, The kindness of strangers: the usefulness of electronic weak ties for technical advice, Organization Science, 7, 10.1287/orsc.7.2.119 · DOI · Paper page
  16. Dholakia, 2004, A social influence model of consumer participation in network- and small-group-based virtual communities, International Journal of Research in Marketing, 21, 10.1016/j.ijresmar.2003.12.004 · DOI
  17. Dichter, 1966, How word-of-mouth advertising works, Harvard Business Review
  18. Dobele, 2007, Why pass on viral messages? Because they connect emotionally, Business Horizons, 50, 10.1016/j.bushor.2007.01.004 · DOI · Paper page
  19. Fitzgerald Bone, 1992, vol. 19
  20. Fox, 1999, GPs in cyberspace: the sociology of a virtual community, Sociological Review, 47, 10.1111/1467-954X.00190 · DOI
  21. Godes, 2004, Using online conversations to study word-of-mouth communication, Marketing Science, 23, 10.1287/mksc.1040.0071 · DOI · Paper page
  22. Godes, 2005, The firm's management of social interactions, Marketing Letters, 16
  23. S Granovetter, 1973, The strength of weak ties, American Journal of Sociology, 87, 10.1086/225469 · DOI · Paper page
  24. Herr, 1991, Effects of word-of-mouth and product-attribute information on persuasion: an accessibility-diagnosticity perspective, Journal of Consumer Research, 17, 10.1086/208570 · DOI · Paper page
  25. Hoffman, 1996, Th. P. Novak, Marketing in hypermedia computer-mediated environments: conceptual foundations, Journal of Marketing, 60, 10.2307/1251841 · DOI
  26. Jensen Schau, 2003, We are what we post? Self-presentation in personal web space, Journal of Consumer Research, 30, 10.1086/378616 · DOI · Paper page
  27. Johnson Brown, 1987, Social ties and word-of-mouth referral behavior, Journal of Consumer Research, 14
  28. Kozinets, 1998, vol. 25
  29. Kozinets, 1999, E-tribalized marketing? The strategic implications of virtual communities of consumption, European Management Journal, 17, 10.1016/S0263-2373(99)00004-3 · DOI · Paper page
  30. Kozinets, 2001, Utopian enterprise: articulating the meanings of Star Trek's culture of consumption, Journal of Consumer Research, 28, 10.1086/321948 · DOI · Paper page
  31. Kozinets, 2002, The field behind the screen: using netnography for marketing research in online communities, Journal of Marketing Research, 39, 10.1509/jmkr.39.1.61.18935 · DOI
  32. Laing, 2004, vol. 31
  33. Mathwick, 2002, Understanding the online consumer: a typology of online relational norms and behavior, Journal of Interactive Marketing, 16, 10.1002/dir.10003 · DOI
  34. McAlexander, 2002, Building brand community, Journal of Marketing, 66, 10.1509/jmkg.66.1.38.18451 · DOI · Paper page
  35. McCormick, 1992, Computer friends and foes: content of undergraduates' electronic mail, Computers in Human Behavior, 8, 10.1016/0747-5632(92)90031-9 · DOI
  36. Moorthy, 1997, Consumer information search revisited: theory and empirical analysis, Journal of Consumer Research, 23, 10.1086/209482 · DOI · Paper page
  37. McWilliam, 2000, Building stronger brands through online communities, Sloan Management Review
  38. Muniz, 2005, Religiosity in the abandoned Apple Newton brand community, Journal of Consumer Research, 31, 10.1086/426607 · DOI
  39. Okleshen, 1998, vol. 25
  40. Park, 1977, Students and housewives: differences in susceptibility to reference group influence, Journal of Consumer Research, 4, 10.1086/208685 · DOI · Paper page
  41. Rae Bachmann, 1992, vol. 20
  42. Rafaeli, 1997, Networked interactivity, Journal of Computer-Mediated Communication, 2, 10.1111/j.1083-6101.1997.tb00201.x · DOI
  43. Richins, 1983, Negative word-of-mouth by dissatisfied consumers: a pilot study, Journal of Marketing, 47, 10.2307/3203428 · DOI
  44. Richins, 1991, Post-purchase product satisfaction: incorporating the effects of involvement and time, Journal of Business Research, 23, 10.1016/0148-2963(91)90025-S · DOI
  45. Rothaermel, 2001, Virtual internet communities and commercial success: individual and community-level theory grounded in the atypical case of TimeZone.com, Journal of Management, 27, 10.1016/S0149-2063(01)00093-9 · DOI · Paper page
  46. Schlosser, 2005, Posting versus lurking: communicating in a multiple audience context, Journal of Consumer Research, 32, 10.1086/432235 · DOI · Paper page
  47. Smith, 2007, Reconsidering models of influence: the relationship between consumer social networks and word-of-mouth effectiveness, Journal of Advertising Research, 47, 10.2501/S0021849907070407 · DOI
  48. Srinivasan, 1991, An empirical test of a model of external search for automobiles, Journal of Consumer Research, 18, 10.1086/209255 · DOI · Paper page
  49. Sundaram, 1998, vol. 25
  50. Tewksbury, 2001, Accidentally informed: incidental news exposure on the world wide web, Journalism and Mass Communication Quarterly, 78, 10.1177/107769900107800309 · DOI · Paper page
  51. Venkatraman, 1990, vol. 17
  52. Walther, 1992, Interpersonal effects in computer-mediated interaction: a relational perspective, Communication Research, 19, 10.1177/009365092019001003 · DOI
  53. Walther, 1995, Relational aspects of computer-mediated communication: experimental observations over time, Organization Science, 6, 10.1287/orsc.6.2.186 · DOI · Paper page
  54. Ward, 1999, The cyber-ethnographic (Re)construction of two feminist online communities, Sociological Research Online, 4, 10.5153/sro.222 · DOI
  55. Wasko, 2005, Why should i share? Examining social capital and knowledge contribution in electronic networks of practice, MIS Quarterly, 29, 10.2307/25148667 · DOI
  56. Wicks, 1992, Improvement over time in recall of media information: an exploratory study, Journal of Broadcasting and Electronic Media, 36, 10.1080/08838159209364178 · DOI
  57. Wiertz, 2007, Beyond the call of duty: why customers contribute to firm- hosted commercial online communities, Organization Studies, 28, 10.1177/0170840607076003 · DOI · Paper page

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Metadata

Authors
de Valck, K., van Bruggen, G. H., & Wierenga, B.
Venue
Decision Support Systems
Publisher
Elsevier BV
Published
2009-06
Volume
47
Issue
3
Pages
185-203
ISSN
0167-9236 (ISSN-L)
OpenAlex
W1987525872
Cited by
646
References
7
FWCI
115.06
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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