Publication Details
Issue: Vol 8, No 7 (2025)
Pages: 3088-3094
ISSN: 2576-5973

Abstract

The service sector plays a critical role in modern economies, yet assessing its quality and efficiency remains a complex challenge due to the intangible, heterogeneous, and customer-dependent nature of services. This article explores current methodologies for evaluating service quality and operational efficiency, identifying their limitations and proposing improvements to better align assessment tools with the dynamic needs of service-based industries. Emphasis is placed on integrating quantitative metrics with qualitative feedback to create a more balanced and accurate evaluation framework. The study also highlights the importance of real-time data analytics, customer satisfaction indices, and performance benchmarking. By refining assessment methodologies, service organizations can more effectively monitor performance, enhance customer experience, and drive strategic improvements. The proposed model offers a practical and adaptable approach for decision-makers aiming to foster continuous quality and efficiency advancements in the service sector.

Keywords
Service Quality Operational Efficiency Quality Assessment Service Sector Performance Metrics Customer Satisfaction Evaluation Methodology Benchmarking Process Improvement Real-Time Analytics Service Delivery Continuous Improvement Qualitative Feedback Quantitative Analysis Efficiency Indicators Key Performance Indicators (KPIS) Methodological Framework Service Performance Service Evaluation Models Data-Driven Decision Making