"Evaluating Customer Service Efficiency in Power Distribution Companies through Mystery Shopping: A Study on Billing, Complaint Resolution, and New Connection Services"

The efficiency of customer service in Indian Power Distribution Companies (DISCOMs) is a key determinant of consumer satisfaction and operational effectiveness. This study assesses service quality in DISCOMs through the application of mystery shopping, focusing on billing services, complaint resolution, and new connection processes. The research integrates SERVQUAL, the Gap Model of Service Quality, Experiential Learning Theory, and the Technology Acceptance Model (TAM) to assess service gaps and propose enhancements. Findings indicate that inefficient complaint redressal mechanisms, delayed billing resolutions, and cumbersome new connection procedures contribute to consumer dissatisfaction. The study highlights the potential of AI-driven service solutions, digitalization, and regulatory interventions to enhance service quality. Policy recommendations emphasize the need for continuous monitoring through mystery shopping, technology adoption, and customer-centric reforms to ensure efficiency in power distribution services. DOI:https://doi.org/10.52783/pst.1550

Authors

Publication Details

Journal
Power System Technology
Published
2025-02-18
DOI
https://doi.org/10.52783/pst.1550
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

"Evaluating Customer Service Efficiency in Power Distribution Companies through Mystery Shopping: A Study on Billing, Complaint Resolution, and New Connection Services"

Deepti Shetty Gloria Antonitta Lobo
Power System Technology
Internet of Things and AI
article

"Evaluating Customer Service Efficiency in Power Distribution Companies through Mystery Shopping: A Study on Billing, Complaint Resolution, and New Connection Services"

Deepti Shetty Gloria Antonitta Lobo
article en

Abstract

The efficiency of customer service in Indian Power Distribution Companies (DISCOMs) is a key determinant of consumer satisfaction and operational effectiveness. This study assesses service quality in DISCOMs through the application of mystery shopping, focusing on billing services, complaint resolution, and new connection processes. The research integrates SERVQUAL, the Gap Model of Service Quality, Experiential Learning Theory, and the Technology Acceptance Model (TAM) to assess service gaps and propose enhancements. Findings indicate that inefficient complaint redressal mechanisms, delayed billing resolutions, and cumbersome new connection procedures contribute to consumer dissatisfaction. The study highlights the potential of AI-driven service solutions, digitalization, and regulatory interventions to enhance service quality. Policy recommendations emphasize the need for continuous monitoring through mystery shopping, technology adoption, and customer-centric reforms to ensure efficiency in power distribution services. DOI:https://doi.org/10.52783/pst.1550

Power System TechnologyVol. 49(1)
Openalex Percentile: Top 97%
Internet of Things and AI
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