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    Exploring the Zone of Tolerance for Internal Customers in IT-Enabled Call Centers

    200253_200253 Sharma.pdf (436.4Kb)
    Access Status
    Open access
    Authors
    Hsieh, J.P.
    Sharma, Piyush
    Rai, A.
    Parasuraman, A.
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Hsieh, J.P. and Sharma, P. and Rai, A. and Parasuraman, A. 2013. Exploring the Zone of Tolerance for Internal Customers in IT-Enabled Call Centers. Journal of Service Research. 16 (3): pp. 277-294.
    Source Title
    Journal of Service Research
    DOI
    10.1177/1094670513478831
    ISSN
    10946705
    URI
    http://hdl.handle.net/20.500.11937/27255
    Collection
    • Curtin Research Publications
    Abstract

    Today, call center employees’ service encounters with external customers are extensively supported with modern information technology (IT). However, prior research on service quality and zone of tolerance (ZOT) focuses primarily on external customers with little attention paid to how internal customers (e.g., service employees) respond to services provided by internal functions, particularly IT function that supports employees’ IT use. Drawing on theory of administrative behavior and IT success literature, we conducted a study at a call center of a telecommunications firm and found that the impact of internal IT service quality (ITSQ) on employees’ service quality (ESQ) to external customers, as well as on their satisfaction with and use of the deployed technology, exhibits a positive diminishing pattern as ITSQ increases from below to within and to above the ZOT. We also found that ITSQ’s impact on ESQ employees’ satisfaction with technology changes more dramatically around adequate service level than desired service level. Finally, we show that call center employees’ satisfaction with technology partially mediates ITSQ’s impact on ESQ. Besides adding to the service and IT literature, our findings suggest that managers should understand internal customers’ different levels of expectations toward internal IT service and the differential performance impacts of those levels.

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