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Constructing an Empirically Derived Measure for Customer Contact

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  • Deborah L. Kellogg

    (School of Business Administration, University of Colorado at Denver, Denver, Colorado 80217-3364)

  • Richard B. Chase

    (school of Business Administration, University of Southern California, Los Angeles, California 90089-1421)

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    Abstract

    This research provides an empirically derived measurement model for customer contact, a widely used construct in service management. The model was created by applying two psychometric scaling techniques, Multidimensional Scaling (MDS) and the method of paired comparisons, and Content Analysis, to the ratings and responses of service research experts. MDS showed that the construct of Customer Contact is multidimensional and complex. An interval scale was developed using the paired comparison methodology, and a measurement model was developed using this contact scale. The central finding was that the degree or level of contact can be measured at the episode level by averaging the normalized values of communication time, the information richness, and the level of intimacy. The uses of the measurement model include refining current research, and reevaluating past research, developing contingency models for service quality and design, and providing practitioners with a richer understanding of customer contact to facilitate service system design.

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    File URL: http://dx.doi.org/10.1287/mnsc.41.11.1734
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 41 (1995)
    Issue (Month): 11 (November)
    Pages: 1734-1749

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    Handle: RePEc:inm:ormnsc:v:41:y:1995:i:11:p:1734-1749

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    Cited by:
    1. Chao Wang & Ilaria Dalla Pozza, 2014. "The antecedents of customer lifetime duration and discounted expected transactions: Discrete-time based transaction data analysis," Working Papers 2014-203, Department of Research, Ipag Business School.
    2. Ngo, Liem Viet & O'Cass, Aron, 2013. "Innovation and business success: The mediating role of customer participation," Journal of Business Research, Elsevier, vol. 66(8), pages 1134-1142.
    3. Chowdhury, Sanjib & Miles, Grant, 2006. "Customer-induced uncertainty in predicting organizational design: Empirical evidence challenging the service versus manufacturing dichotomy," Journal of Business Research, Elsevier, vol. 59(1), pages 121-129, January.
    4. Yee, Rachel W.Y. & Yeung, Andy C.L. & Edwin Cheng, T.C., 2010. "An empirical study of employee loyalty, service quality and firm performance in the service industry," International Journal of Production Economics, Elsevier, vol. 124(1), pages 109-120, March.
    5. Yee, Rachel W.Y. & Yeung, Andy C.L. & Cheng, T.C.E., 2011. "The service-profit chain: An empirical analysis in high-contact service industries," International Journal of Production Economics, Elsevier, vol. 130(2), pages 236-245, April.

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