Benchmarking of service quality with data envelopment analysisHakyeon Lee, Chulhyun Kim2013-12-11articleExpert Systems with Applications92 citationsclosedNo readable copy stored yet — this record is metadata only.Efficiency Analysis Using DEACustomer Service Quality and LoyaltyMulti-Criteria Decision MakingAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 92 citations exist upstream.References1978Measuring the efficiency of decision making units1985A Conceptual Model of Service Quality and Its Implications for Future Research1988SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis1992Measuring Service Quality: A Reexamination and Extension1993A Procedure for Ranking Efficient Units in Data Envelopment Analysis1994Reassessment of Expectations as a Comparison Standard in Measuring Service Quality: Implications for Further Research1994SERVPERF versus SERVQUAL: Reconciling Performance-Based and Perceptions-Minus-Expectations Measurement of Service QualityCited by2015From the quality of traditional services to the quality of local e-Government online services: A literature review2015Potential dimensions for a local e-Government services quality model2021The impact of service quality, trust and satisfaction on young citizen loyalty towards government e-services2014Measuring regional competitiveness through Data Envelopment Analysis: A Peruvian case2022Service quality evaluation and service improvement using online reviews: A framework combining deep learning with a hierarchical service quality model2020A fuzzy service quality based approach for performance evaluation of educational units2021An opinion-driven decision-support framework for benchmarking hotel service2021A Novel Hybrid Fuzzy DEA-Fuzzy ARAS Method for Prioritizing High-Performance Innovation-Oriented Human Resource Practices in High Tech SME’s