Quality of Indian service industries with different ANN models

Service quality is basically a comparison between expectations and the perceptions of the customer. The interrelationship between various aspects of information technology (IT) adoption and other basic characteristics of service quality is complex and dependent on the expected service composition. R...

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Main Author: Ajay Behera
Format: Article
Language:English
Published: Growing Science 2020-01-01
Series:International Journal of Data and Network Science
Subjects:
Online Access:http://www.growingscience.com/ijds/Vol4/ijdns_2019_31.pdf
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author Ajay Behera
author_facet Ajay Behera
author_sort Ajay Behera
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description Service quality is basically a comparison between expectations and the perceptions of the customer. The interrelationship between various aspects of information technology (IT) adoption and other basic characteristics of service quality is complex and dependent on the expected service composition. Reliability, conformance, durability and serviceability are taken as functions of service quality; whereas Tenure, utility and vendor are taken as functions of Information Technology. Substantial literature has examined the concept of service quality, its dimensions, and measurement methods. Statistical analysis of quality parameters has been performed and validation is done with different Artificial Neural Network (ANNs) architecture with different hidden layers. The model proposed in this study is designed to evaluate and improve service quality within a comprehensive framework.
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spelling doaj.art-7197609095fe42e1997573c0045618b12022-12-22T03:20:01ZengGrowing ScienceInternational Journal of Data and Network Science2561-81482561-81562020-01-0141152610.5267/j.ijdns.2019.9.001Quality of Indian service industries with different ANN modelsAjay Behera Service quality is basically a comparison between expectations and the perceptions of the customer. The interrelationship between various aspects of information technology (IT) adoption and other basic characteristics of service quality is complex and dependent on the expected service composition. Reliability, conformance, durability and serviceability are taken as functions of service quality; whereas Tenure, utility and vendor are taken as functions of Information Technology. Substantial literature has examined the concept of service quality, its dimensions, and measurement methods. Statistical analysis of quality parameters has been performed and validation is done with different Artificial Neural Network (ANNs) architecture with different hidden layers. The model proposed in this study is designed to evaluate and improve service quality within a comprehensive framework.http://www.growingscience.com/ijds/Vol4/ijdns_2019_31.pdfService QualityArtificial Neural Network (ANN)Feed Forward Neural Networks (FNNs)Recurrent Neural Networks (RNNs)Total Quality Management (TQM)Service Sectors
spellingShingle Ajay Behera
Quality of Indian service industries with different ANN models
International Journal of Data and Network Science
Service Quality
Artificial Neural Network (ANN)
Feed Forward Neural Networks (FNNs)
Recurrent Neural Networks (RNNs)
Total Quality Management (TQM)
Service Sectors
title Quality of Indian service industries with different ANN models
title_full Quality of Indian service industries with different ANN models
title_fullStr Quality of Indian service industries with different ANN models
title_full_unstemmed Quality of Indian service industries with different ANN models
title_short Quality of Indian service industries with different ANN models
title_sort quality of indian service industries with different ann models
topic Service Quality
Artificial Neural Network (ANN)
Feed Forward Neural Networks (FNNs)
Recurrent Neural Networks (RNNs)
Total Quality Management (TQM)
Service Sectors
url http://www.growingscience.com/ijds/Vol4/ijdns_2019_31.pdf
work_keys_str_mv AT ajaybehera qualityofindianserviceindustrieswithdifferentannmodels