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Information Journal Paper

Title

DATA ENVELOPMENT ANALYSIS IN SERVICE QUALITY EVALUATION: AN EMPIRICAL STUDY

Pages

  319-330

Abstract

 Service quality is often conceptualized as the comparison between service expectations and the actual performance perceptions. It enhances customer satisfaction, decreases customer defection, and promotes customer loyalty. Substantial literature has examined the concept of SERVICE QUALITY, its dimensions, and measurement methods. We introduce the perceived SERVICE QUALITY index (PSQI) as a single measure for evaluating the multiple-item SERVICE QUALITY construct based on the SERVQUAL MODEL. A SLACK-BASED MEASURE (SBM) of efficiency with constant inputs is used to calculate the PSQI. In addition, a nonlinear programming model based on the SBM is proposed to delineate an improvement guideline and improve SERVICE QUALITY. An empirical study is conducted to assess the applicability of the method proposed in this study. A large number of studies have used DEA as a benchmarking tool to measure SERVICE QUALITY. These models do not propose a coherent performance evaluation construct and consequently fail to deliver improvement guidelines for improving SERVICE QUALITY. The DEA models proposed in this study are designed to evaluate and improve SERVICE QUALITY within a comprehensive framework and without any dependency on external data.

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    APA: Copy

    NAJAFI, SEYED VAHID, SAATI, SABER, & TAVANA, MADJID. (2015). DATA ENVELOPMENT ANALYSIS IN SERVICE QUALITY EVALUATION: AN EMPIRICAL STUDY. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, 11(3), 319-330. SID. https://sid.ir/paper/310012/en

    Vancouver: Copy

    NAJAFI SEYED VAHID, SAATI SABER, TAVANA MADJID. DATA ENVELOPMENT ANALYSIS IN SERVICE QUALITY EVALUATION: AN EMPIRICAL STUDY. JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL[Internet]. 2015;11(3):319-330. Available from: https://sid.ir/paper/310012/en

    IEEE: Copy

    SEYED VAHID NAJAFI, SABER SAATI, and MADJID TAVANA, “DATA ENVELOPMENT ANALYSIS IN SERVICE QUALITY EVALUATION: AN EMPIRICAL STUDY,” JOURNAL OF INDUSTRIAL ENGINEERING INTERNATIONAL, vol. 11, no. 3, pp. 319–330, 2015, [Online]. Available: https://sid.ir/paper/310012/en

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