Satisfaction with Virtual Communities of Interest: Effect on Members' Visit Frequency

The authors develop a four-dimensional scale to measure members' satisfaction with virtual communities of interest (VCIs). The dimensions consist of members' satisfaction with member-to-member interactions, organizer-to-member interactions and organizer-to-community interactions, all of which come together on the VCI's site. Using a sample of 3605 members of a VCI, the authors investigated the effect of each satisfaction dimension on members' visit frequency, and the moderating effect of membership duration on the links between the satisfaction dimensions and visit frequency. The results reveal that satisfaction with member-to-member interactions, organizer-to-member interactions and the community's site has positive effects on members' visit frequency. Members' satisfaction with organizer-to-community interactions has no effect on visit frequency. The findings also show that membership duration strengthens two, and weakens one of the linkages between the satisfaction dimensions and members' visit frequency.

[1]  Terry S. Overton,et al.  Estimating Nonresponse Bias in Mail Surveys , 1977 .

[2]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[3]  R. Oliver,et al.  A framework for the formation and structure of consumer expectations: Review and propositions , 1987 .

[4]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[5]  M. Browne,et al.  Single Sample Cross-Validation Indices for Covariance Structures. , 1989, Multivariate behavioral research.

[6]  Jan-Benedict E. M. Steenkamp,et al.  The use of LISREL in validating marketing constructs. , 1991 .

[7]  James C. Anderson,et al.  Predicting the performance of measures in a confirmatory factor analysis with a pretest assessment of their substantive validities. , 1991 .

[8]  Gilbert A. Churchill,et al.  Caution in the Use of Difference Scores in Consumer Research , 1993 .

[9]  Larry E. Toothaker,et al.  Multiple Regression: Testing and Interpreting Interactions , 1991 .

[10]  Ruth N. Bolton,et al.  A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction , 1994 .

[11]  Steven A. Taylor,et al.  Servperf versus Servqual: Reconciling Performance-Based and Perceptions-Minus-Expectations Measurement of Service Quality , 1994 .

[12]  Dawn Iacobucci,et al.  Customer Satisfaction Fables , 1994 .

[13]  José Antonio Rosa,et al.  Assessing industrial buyers' perceptions of quality and their effects on satisfaction , 1995 .

[14]  A. Parasuraman,et al.  The Behavioral Consequences of Service Quality , 1996 .

[15]  J. A. Calvin Regression Models for Categorical and Limited Dependent Variables , 1998 .

[16]  G. Hutton Net gain: Expanding markets through virtual communities , 1998 .

[17]  Katherine N. Lemon,et al.  A dynamic model of customers' usage of services : usage as an antecedent and consequence of satisfaction , 1999 .

[18]  R. Kozinets E-tribalized Marketing?: The Strategic Implications of Virtual Communities of Consumption , 1999 .

[19]  Chong Ju Choi,et al.  Increasing Returns and Social Contagion in Cultural Industries , 1999 .

[20]  R. Oliver Whence Consumer Loyalty? , 1999 .

[21]  Katherine N. Lemon,et al.  A Dynamic Model of Customers’ Usage of Services: Usage as an Antecedent and Consequence of Satisfaction , 1999 .

[22]  Sheizaf Rafaeli,et al.  Time to Split, Virtually: 'Discourse Architecture' and 'Community Building' Create Vibrant Virtual Publics , 2000, Electron. Mark..

[23]  Donna L. Hoffman,et al.  Measuring the Customer Experience in Online Environments: A Structural Modeling Approach , 2000 .

[24]  P. NovakThomas,et al.  Measuring the Customer Experience in Online Environments , 2000 .

[25]  Vijay Mahajan,et al.  The Economic Leverage of the Virtual Community , 2001, Int. J. Electron. Commer..

[26]  F. Rothaermel,et al.  Virtual internet communities and commercial success: individual and community-level theory grounded in the atypical case of TimeZone.com , 2001 .

[27]  Christian Homburg,et al.  Customer satisfaction in industrial markets: dimensional and multiple role issues , 2001 .

[28]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[29]  V. Mittal,et al.  Satisfaction, Repurchase Intent, and Repurchase Behavior: Investigating the Moderating Effect of Customer Characteristics , 2001 .

[30]  C. Mathwick Understanding the online consumer: A typology of online relational norms and behavior , 2002 .

[31]  Jagdip Singh,et al.  Consumer Trust, Value, and Loyalty in Relational Exchanges , 2002 .

[32]  A. Parasuraman,et al.  Service quality delivery through web sites: A critical review of extant knowledge , 2002, Journal of the Academy of Marketing Science.

[33]  John R. Rossiter,et al.  The C-OAR-SE procedure for scale development in marketing , 2002 .

[34]  P. Franses,et al.  The effect of relational constructs on customer referrals and number of services purchased from a multiservice provider: Does age of relationship matter? , 2002 .

[35]  Pauline Maclaran,et al.  Researching the social Web: marketing information from virtual communities , 2002 .

[36]  J. McAlexander,et al.  Building Brand Community , 2002 .

[37]  Katarina Stanoevska-Slabeva,et al.  Toward a Community-Oriented Design of Internet Platforms , 2002, Int. J. Electron. Commer..

[38]  Angus Laing,et al.  The professional service encounter in the age of the Internet: an exploratory study , 2003 .

[39]  John A. Schibrowsky,et al.  Virtual Communities and the Assessment of Online Marketing Education , 2003 .

[40]  Bill Karakostas,et al.  The potential of virtual communities in the insurance industry in the UK and Greece , 2003, Int. J. Inf. Manag..

[41]  A. Rangaswamy,et al.  Customer satisfaction and loyalty in online and offline environments , 2003 .

[42]  Venkatesh Shankar,et al.  Customer value, satisfaction, loyalty, and switching costs: An illustration from a business-to-business service context , 2004 .

[43]  L. Weng Impact of the Number of Response Categories and Anchor Labels on Coefficient Alpha and Test-Retest Reliability , 2004 .

[44]  R. Bagozzi,et al.  A Social Influence Model of Consumer Participation in Network- and Small-Group-Based Virtual Communities , 2004 .

[45]  Katherine N. Lemon,et al.  The Theoretical Underpinnings of Customer Asset Management , 2002 .

[46]  Solomon Negash,et al.  The moderating effect of on-line experience on the antecedents and consequences of on-line satisfaction , 2005 .

[47]  A. Gustafsson,et al.  The Effects of Customer Satisfaction, Relationship Commitment Dimensions, and Triggers on Customer Retention , 2005 .

[48]  Peeter W. J. Verlegh,et al.  The Firm's Management of Social Interactions , 2005 .

[49]  A. Herrmann,et al.  The Social Influence of Brand Community: Evidence from European Car Clubs , 2005 .

[50]  J. Hofmans,et al.  Impact of the Number of Response Categories on Linearity and Sensitivity of Self-Anchoring Scales , 2007 .