Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model

The increasing popularity of online shopping has led to the emergence of new economic activities. To succeed in the highly competitive e-commerce environment, it is vital to understand consumer intention. Understanding what motivates consumer intention is critical because such intention is key to survival in this fast-paced and hypercompetitive environment. Where prior research has attempted at most a limited adaptation of the information system success model, we propose a comprehensive, empirical model that separates the ‘use’ construct into ‘intention to use’ and ‘actual use’. This makes it possible to test the importance of user intentions in determining their online shopping behaviour. Our results suggest that the consumer's intention to use is quite important, and accurately predicts the usage behaviour of consumers. In contrast, consumer satisfaction has a significant impact on intention to use but no direct causal relation with actual use.

[1]  Mei Cao,et al.  B2C e-commerce web site quality: an empirical examination , 2005, Ind. Manag. Data Syst..

[2]  Fred D. Davis,et al.  Development and Test of a Theory of Technological Learning and Usage , 1992 .

[3]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[4]  Blake Ives,et al.  An empirical study of the impact of user involvement on system usage and information satisfaction , 1986, CACM.

[5]  Eric W. T. Ngai,et al.  Predicting the organisational adoption of B2C e-commerce: an empirical study , 2006, Ind. Manag. Data Syst..

[6]  Bongsik Shin,et al.  An Exploratory Investigation of System Success Factors in Data Warehousing , 2003, J. Assoc. Inf. Syst..

[7]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[8]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[9]  Richard O. Mason,et al.  Measuring information output: A communication systems approach , 1978, Inf. Manag..

[10]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[11]  J. Leon Zhao,et al.  Improving the Communicational Effectiveness of Virtual Organizations through Workflow Automation , 1998, Int. J. Electron. Commer..

[12]  Chao-Min Chiu,et al.  A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior , 2006, Int. J. Hum. Comput. Stud..

[13]  John D'Ambra,et al.  Emerging factors in user evaluation of the World Wide Web , 2001, Inf. Manag..

[14]  Zhilin Yang,et al.  Customer perceived value, satisfaction, and loyalty: The role of switching costs , 2004 .

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

[16]  Margaret Tan,et al.  The consequences of information technology acceptance on subsequent individual performance , 1997, Inf. Manag..

[17]  E. Anderson,et al.  Strengthening the Satisfaction-Profit Chain , 2000 .

[18]  Jane E. Klobas,et al.  User Developed Applications and Information Systems Success: A Test of DeLone and McLean's Model , 2003, Inf. Resour. Manag. J..

[19]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[20]  Margaret Tan,et al.  Factors Influencing the Adoption of Internet Banking , 2000, J. Assoc. Inf. Syst..

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

[22]  R. O'Callaghan From reengineering to electronic commerce: old questions, new challenges , 1999, J. Strateg. Inf. Syst..

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

[24]  P. Wilton,et al.  Models of Consumer Satisfaction Formation : An Extension , 1988 .

[25]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[26]  J. Hair Multivariate data analysis , 1972 .

[27]  Youjae Yi A Critical review of consumer satisfaction , 1989 .

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

[29]  Chanaka Jayawardhena,et al.  Measurement of Service Quality in Internet Banking: The Development of an Instrument , 2004 .

[30]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[31]  B. Morris The Service Profit Chain: : How Leading Companies Link Profit and Growth to Loyalty, Satisfaction, and Value , 1998 .

[32]  Blake Ives,et al.  The measurement of user information satisfaction , 1983, CACM.

[33]  Eldon Y. Li Perceived importance of information system success factors: A meta analysis of group differences , 1997, Inf. Manag..

[34]  Arun Rai,et al.  Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis , 2002, Inf. Syst. Res..

[35]  Ingoo Han,et al.  The impact of the online and offline features on the user acceptance of Internet shopping malls , 2004, Electron. Commer. Res. Appl..

[36]  Alemayehu Molla,et al.  E-Commerce Systems Success: An Attempt to Extend and Respecify the Delone and MaClean Model of IS Success , 2001, J. Electron. Commer. Res..

[37]  Juhani Iivari,et al.  An empirical test of the DeLone-McLean model of information system success , 2005, DATB.

[38]  Robert P. Bostrom,et al.  Mis problems and failures: a socio-technical perspective , 1977 .

[39]  Jen-Her Wu,et al.  An organizational memory information systems success model: an extension of DeLone and McLean's I/S success model , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[40]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[41]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[42]  Henri Barki,et al.  Explaining the Role of User Participation in Information System Use , 1994 .

[43]  Allan Kuchinsky,et al.  Integrating user-perceived quality into Web server design , 2000, Comput. Networks.

[44]  Richard T. Vidgen,et al.  An Evaluation of Cyber-Bookshops: The WebQual Method , 2001, Int. J. Electron. Commer..

[45]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..