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The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach

Author

Listed:
  • Vicki McKinney

    (Sam M. Walton College of Business, Information Systems Department, University of Arkansas, 204 Business Building, Fayetteville, Arkansas 72701–0201)

  • Kanghyun Yoon

    (School of Business Administration, University of Wisconsin at Milwaukee, P.O. Box 742, Milwaukee, Wisconsin 53201)

  • Fatemeh “Mariam” Zahedi

    (School of Business Administration, University of Wisconsin at Milwaukee, P.O. Box 742, Milwaukee, Wisconsin 53201)

Abstract

Online shopping provides convenience to Web shoppers, yet its electronic format changes information-gathering methods traditionally used by customers. This change raises questions concerning customer satisfaction with the online purchasing process. Web shopping involves a number of phases, including the information phase, in which customers search for information regarding their intended purchases. The purpose of this paper is to develop theoretically justifiable constructs for measuring Web-customer satisfaction during the information phase.By synthesizing the expectation-disconfirmation paradigm with empirical theories in user satisfaction, we separate Web site quality into information quality (IQ) and system quality (SQ), and propose nine key constructs for Web-customer satisfaction. The measurements for these constructs are developed and tested in a two-phase study. In the first phase, the IQ and SQ dimensions are identified, and instruments for measuring them are developed and tested. In the second phase, using the salient dimensions of Web-IQ and Web-SQ as the basis for formulating first-order factors, we develop and empirically test instruments for measuring IQ and SQ-satisfaction. Moreover, this phase involves the design and test of second-order factors for measuring Web-customer expectations, disconfirmation, and perceived performance regarding IQ and SQ. The analysis of the measurement model indicates that the proposed metrics have a relatively high degree of validity and reliability. The results of the study provide reliable instruments for operationalizing the key constructs in the analysis of Web-customer satisfaction within the expectation-disconfirmation paradigm.

Suggested Citation

  • Vicki McKinney & Kanghyun Yoon & Fatemeh “Mariam” Zahedi, 2002. "The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach," Information Systems Research, INFORMS, vol. 13(3), pages 296-315, September.
  • Handle: RePEc:inm:orisre:v:13:y:2002:i:3:p:296-315
    DOI: 10.1287/isre.13.3.296.76
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    References listed on IDEAS

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    1. Harry Bruce, 1998. "User satisfaction with information seeking on the internet," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(6), pages 541-556.
    2. Oecd, 1998. "Measuring Electronic Commerce," OECD Digital Economy Papers 39, OECD Publishing.
    3. Eighmey, John & McCord, Lola, 1998. "Adding Value in the Information Age: Uses and Gratifications of Sites on the World Wide Web," Journal of Business Research, Elsevier, vol. 41(3), pages 187-194, March.
    4. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    5. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    6. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    7. Bagozzi, Richard P & Yi, Youjae, 1991. "Multitrait-Multimethod Matrices in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 426-439, March.
    8. Blake Ives & Margrethe H. Olson, 1984. "User Involvement and MIS Success: A Review of Research," Management Science, INFORMS, vol. 30(5), pages 586-603, May.
    9. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    10. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    11. James E. Bailey & Sammy W. Pearson, 1983. "Development of a Tool for Measuring and Analyzing Computer User Satisfaction," Management Science, INFORMS, vol. 29(5), pages 530-545, May.
    12. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    13. Segars, A. H., 1997. "Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research," Omega, Elsevier, vol. 25(1), pages 107-121, February.
    14. Tefko Saracevic & Paul Kantor & Alice Y. Chamis & Donna Trivison, 1988. "A study of information seeking and retrieving. I. Background and methodology," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 39(3), pages 161-176, May.
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