An Empirical Study of Perceived Factors Affecting Customer Satisfaction to Re-Purchase Intention in Online Stores in China

Online stores (e-stores) are growing in China. Consumers perceive some factors affecting their satisfaction to re-purchase intention in e-stores. This study investigates the perceived factors affecting customer satisfaction to re-purchase intention in e-stores. The satisfaction toward the online stores channel environment depends on the customer’s perception and also online consumer experiences (OCEs) of the active online shopping stores. From a questionnaire survey, 302 usable data are obtained and hypotheses are tested using multiple regression analysis. The analysis suggests that seven constructs—price, convenience, product information, return policy, financial risk, product risk and delivery risk—are significant with customer satisfaction to re-purchase in e-stores. This study emphasizes that the importance of customer satisfaction provides more benefits and less risk to re-purchase in e-stores. The finding of this study will help e-store’s managers/ owners to understand customer’s perceptions in online shopping stores and their satisfaction.

[1]  J. Dietz Satisfaction: A Behavioral Perspective on the Consumer , 1997 .

[2]  Chao-Min Chiu,et al.  Predicting electronic service continuance with a decomposed theory of planned behaviour , 2004, Behav. Inf. Technol..

[3]  Izak Benbasat,et al.  E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact , 2007, MIS Q..

[4]  E. Rogers,et al.  Diffusion of Innovations, 5th Edition , 2003 .

[5]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[6]  L. Stoel,et al.  Apparel retailers: website quality dimensions and satisfaction , 2004 .

[7]  Eileen Bridges,et al.  Hedonic and utilitarian shopping goals: The online experience , 2008 .

[8]  J. J. Cronin,et al.  Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments , 2000 .

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

[10]  Matthew S. Eastin,et al.  Diffusion of e-commerce: an analysis of the adoption of four e-commerce activities , 2002, Telematics Informatics.

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

[12]  Alok Gupta,et al.  The Sources of On-Line Price Dispersion Across Product Types: An Integrative View of On-Line Search Costs and Price Premiums , 2006, Int. J. Electron. Commer..

[13]  David Zilberman,et al.  Demonstrations and money-back guarantees: market mechanisms to reduce uncertainty , 2001 .

[14]  D. Gefen,et al.  E-commerce: the role of familiarity and trust , 2000 .

[15]  Byoungho Jin,et al.  The role of etail quality, e-satisfaction and e-trust in online loyalty development process , 2009 .

[16]  Chia-Chen Chang,et al.  Mining customer knowledge for exploring online group buying behaviour , 2012, Expert Syst. Appl..

[17]  Rolph E. Anderson,et al.  E‐satisfaction and e‐loyalty: A contingency framework , 2003 .

[18]  R. Oliver A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[19]  Yi-Shun Wang,et al.  The adoption of electronic tax filing systems: an empirical study , 2003, Gov. Inf. Q..

[20]  R. L. Horton The structure of perceived risk: Some further progress , 1976 .

[21]  W. Bearden,et al.  Selected Determinants of Consumer Satisfaction and Complaint Reports , 1983 .

[22]  William R. King,et al.  A meta-analysis of the technology acceptance model , 2006, Inf. Manag..

[23]  S. Forsythe,et al.  Consumer patronage and risk perceptions in Internet shopping , 2003 .

[24]  E. Anderson,et al.  The Antecedents and Consequences of Customer Satisfaction for Firms , 1993 .

[25]  Rajiv Kohli,et al.  Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics , 2002, Inf. Syst. Res..

[26]  S. Lennon,et al.  What induces online loyalty? Online versus offline brand images , 2009 .

[27]  Chechen Liao,et al.  Applying the Expectancy Disconfirmation and Regret Theories to Online Consumer Behavior , 2011, Cyberpsychology Behav. Soc. Netw..

[28]  Mireia Valverde,et al.  Waiting for service on the internet: Defining the phenomenon and identifying the situations , 2005, Internet Res..

[29]  Jaejeung Rho,et al.  Extending the TAM for a t-commerce , 2005, Inf. Manag..

[30]  J. P. Peter,et al.  A Comparative Analysis of Three Consumer Decision Strategies , 1975 .

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

[32]  Frank Biocca,et al.  Consumer Learning and the Effects of Virtual Experience Relative to Indirect and Direct Product Experience , 2008 .

[33]  Chien-Wen David Chen,et al.  Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model , 2009, Behav. Inf. Technol..

[34]  C. Veloutsou,et al.  Beyond technology acceptance: Brand relationships and online brand experience☆ , 2013 .

[35]  Matthew Tingchi Liu,et al.  Perceived benefits, perceived risk, and trust , 2013 .

[36]  Fatemeh Zahedi,et al.  The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach , 2002, Inf. Syst. Res..

[37]  Hui-Ling Huang,et al.  Confirmation of Expectations and Satisfaction with the Internet Shopping: The Role of Internet Self-efficacy , 2010, Comput. Inf. Sci..

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

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

[40]  Chien Chin Chen,et al.  Quality evaluation of product reviews using an information quality framework , 2011, Decis. Support Syst..

[41]  E. Y. Kim,et al.  Predicting online purchase intentions for clothing products , 2004 .

[42]  Dong-Shang Chang,et al.  Consumer preferences for service recovery options after delivery delay when shopping online , 2012 .

[43]  Szu-Yuan Sun,et al.  Understanding customers' loyalty intentions towards online shopping: an integration of technology acceptance model and fairness theory , 2009, Behav. Inf. Technol..

[44]  D. Reibstein What attracts customers to online stores, and what keeps them coming back? , 2002 .

[45]  Dong-Mo Koo,et al.  Personal values as underlying motives of shopping online , 2008 .

[46]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[47]  J. Jacoby,et al.  The Components of Perceived Risk , 1972 .

[48]  Abhijit Biswas,et al.  Contextual Effects of Reference Prices in Retail Advertisements , 1991 .

[49]  R. B. Woodruff,et al.  Modeling Consumer Satisfaction Processes Using Experience-Based Norms: , 1983 .

[50]  B. Snoj,et al.  The relationships among perceived quality, perceived risk and perceived product value , 2004 .

[51]  Charles F. Hofacker Internet Marketing , 1998 .

[52]  Vincent S. Lai,et al.  Literature derived reference models for the adoption of online shopping , 2005, Inf. Manag..

[53]  Kar Yan Tam,et al.  Impact of information presentation modes on online shopping: An empirical evaluation of a broadband interactive shopping service , 2000 .

[54]  V. Zeithaml Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .

[55]  Ronald S. Tibben-Lembke,et al.  Going Backwards: Reverse Logistics Trends and Practices , 1999 .

[56]  K. Reynolds,et al.  Hedonic shopping motivations , 2003 .

[57]  Glenn B. Voss,et al.  SERVCON: development and validation of a multidimensional service convenience scale , 2007 .

[58]  Angappa Gunasekaran,et al.  Customer satisfaction and competitiveness in the Chinese E-retailing: Structural equation modeling (SEM) approach to identify the role of quality factors , 2014, Expert Syst. Appl..

[59]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[60]  Heng-Chiang Huang,et al.  Determinants of e-repurchase intentions: An integrative model of quadruple retention drivers , 2007, Inf. Manag..

[61]  Zhaohua Deng,et al.  Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China , 2010, Int. J. Inf. Manag..

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

[63]  B. Fennis,et al.  The persuasiveness of online safety cues: The impact of prevention focus compatibility of Web content on consumers’ risk perceptions, attitudes, and intentions , 2007 .

[64]  Indrajit Sinha,et al.  Retaining or returning , 2013 .

[65]  Janet R. Mccoll-Kennedy,et al.  Experience as a moderator of involvement and satisfaction on brand loyalty in a business-to-business setting , 2005 .

[66]  George Brooker,et al.  An Assessment of an Expanded Measure of Perceived Risk , 1984 .

[67]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[68]  Heeseok Lee,et al.  Formation of e-satisfaction and repurchase intention: Moderating roles of computer self-efficacy and computer anxiety , 2009, Expert Syst. Appl..

[69]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[70]  Peter A. Todd,et al.  Consumer Reactions to Electronic Shopping on the World Wide Web , 1996, Int. J. Electron. Commer..