Pre-sale vs. Post-sale e-satisfaction: Impact on repurchase intention and overall satisfaction

E-tailers deliver services in two phases: before the sale takes place, and after the sale is over. Previous research in behavioral science has suggested that the time sequence of service delivery may affect customer evaluation of service and therefore it may also affect e-satisfaction. To determine how much to invest in pre-sale services relative to post-sale services, e-tailers should examine the impacts of customer satisfaction with services delivered in each phase on repurchase intention and overall service rating. In this paper, we measure these impacts and find that post-sale service has a much stronger impact on customer repurchase intention and overall service ratings compared to service delivered pre-sale. Because of this recency effect (buyers give more weight to e-service they receive late than to e-service received earlier), e-tailers are advised to put a strong emphasis on post-sale service.

[1]  S. Asch Forming impressions of personality. , 1946, Journal of Abnormal Psychology.

[2]  B. Mccallum Artificial Orthogonalization in Regression Analysis , 1970 .

[3]  Michael H. Kutner Applied Linear Statistical Models , 1974 .

[4]  V. Barnett,et al.  Applied Linear Statistical Models , 1975 .

[5]  R. Oliver Effect of expectation and disconfirmation on postexposure product evaluations: An alternative interpretation. , 1977 .

[6]  N. Anderson Foundations of information integration theory , 1981 .

[7]  G. Judge,et al.  The Theory and Practice of Econometrics , 1981 .

[8]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[9]  S. K. Asare,et al.  The auditors' going concern opinion decision: Interaction of task variables and the sequential processing of evidence. , 1989 .

[10]  Youjae Yi Direct and indirect approaches to advertising persuasion : Which is more effective? , 1990 .

[11]  C. Fornell A National Customer Satisfaction Barometer: The Swedish Experience: , 1992 .

[12]  D. Kahneman,et al.  When More Pain Is Preferred to Less: Adding a Better End , 1993 .

[13]  R. Oliver Cognitive, affective, and attribute bases of the satisfaction response. , 1993 .

[14]  A. Parasuraman,et al.  Reassessment of Expectations as a Comparison Standard in Measuring Service Quality: Implications for Further Research , 1994 .

[15]  Curtis P. Haugtvedt,et al.  Message Order Effects in Persuasion: An Attitude Strength Perspective , 1994 .

[16]  Eric N. Johnson Effects of information order, group assistance, and experience on auditors' sequential belief revision , 1995 .

[17]  D. Kahneman,et al.  Patients' memories of painful medical treatments: real-time and retrospective evaluations of two minimally invasive procedures , 1996, Pain.

[18]  Scott Highhouse,et al.  Order Effects in Personnel Decision Making , 1997 .

[19]  Gita Venkataramani Johar,et al.  A Varying-Parameter Averaging Model of On-Line Brand Evaluations , 1997 .

[20]  Gary W. Loveman Employee Satisfaction, Customer Loyalty, and Financial Performance , 1998 .

[21]  Mario J. Maletta,et al.  Primacy Effects and the Role of Risk in Auditor Belief-Revision Processes , 1999 .

[22]  David M. Szymanski,et al.  E-satisfaction: an initial examination , 2000 .

[23]  D. Ariely,et al.  Gestalt characteristics of experiences: the defining features of summarized events , 2000 .

[24]  R. Winer A Framework for Customer Relationship Management , 2001 .

[25]  R. B. Chase,et al.  Want to perfect your company's service? Use behavioral science. , 2001, Harvard business review.

[26]  David M. Szymanski,et al.  Customer satisfaction: A meta-analysis of the empirical evidence , 2001 .

[27]  Rolph E. Anderson,et al.  Customer loyalty in e-commerce: an exploration of its antecedents and consequences , 2002 .

[28]  Raymond R. Burke Technology and the customer interface: What consumers want in the physical and virtual store , 2002 .

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

[30]  F. Reichheld The one number you need to grow. , 2003, Harvard business review.

[31]  R. X. Liu,et al.  Principal component regression analysis with SPSS , 2003, Comput. Methods Programs Biomed..

[32]  M. Gilly,et al.  eTailQ: dimensionalizing, measuring and predicting etail quality , 2003 .

[33]  Heiner Evanschitzky,et al.  E-satisfaction: a re-examination , 2004 .