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Information Journal Paper

Title

EVALUATING SERVICE QUALITY METHODS WITH ARTIFICIAL NEURAL NETWORK

Pages

  63-79

Abstract

 Survival and growth of Pioneer service provider organizations is dependent on SERVICE QUALITY monitoring continuously. Customers' feedbacks, as a strategic direction-making, have endogenous effect on their competitive capabilities. In this context, expectation and perception based models have been applied in various service provider organizations broadly. In this article, through nameed in non- linear relationships analysis as mentioned ARTIFICIAL NEURAL NETWORK (ANN), a multi dimensional comparison has performed between some prominent procedures in SERVICE QUALITY monitoring. Results portray SERVICE QUALITY measurement, and CUSTOMER SATISFACTION forecasting would be acceptable when we use weighted SERVQUAL method in other comparisons.

Cites

References

Cite

APA: Copy

MIRGHAFOURI, S.H.A., TAHERI DEMNEH, MOHSEN, & ZARE AHMADABADI, H.. (2009). EVALUATING SERVICE QUALITY METHODS WITH ARTIFICIAL NEURAL NETWORK. JOURNAL OF BUSINESS MANAGEMENT PERSPECTIVE (MANAGEMENT PERSPECTIVE), 8(31), 63-79. SID. https://sid.ir/paper/115561/en

Vancouver: Copy

MIRGHAFOURI S.H.A., TAHERI DEMNEH MOHSEN, ZARE AHMADABADI H.. EVALUATING SERVICE QUALITY METHODS WITH ARTIFICIAL NEURAL NETWORK. JOURNAL OF BUSINESS MANAGEMENT PERSPECTIVE (MANAGEMENT PERSPECTIVE)[Internet]. 2009;8(31):63-79. Available from: https://sid.ir/paper/115561/en

IEEE: Copy

S.H.A. MIRGHAFOURI, MOHSEN TAHERI DEMNEH, and H. ZARE AHMADABADI, “EVALUATING SERVICE QUALITY METHODS WITH ARTIFICIAL NEURAL NETWORK,” JOURNAL OF BUSINESS MANAGEMENT PERSPECTIVE (MANAGEMENT PERSPECTIVE), vol. 8, no. 31, pp. 63–79, 2009, [Online]. Available: https://sid.ir/paper/115561/en

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