LAPSE:2023.15599
Published Article

LAPSE:2023.15599
Measure of Customer Satisfaction in the Residential Electricity Distribution Service Using Structural Equation Modeling
March 2, 2023
Abstract
The main objective of this study is to apply structural equation modeling with partial least squares, and based on covariance, to assess the satisfaction of residential electricity consumers. The methodology used compares the results of both structural equation models to indicate the model that best fits the problem of measuring the satisfaction of residential consumers with electricity concessionaires and licensees. The sample used in the survey contained questionnaire responses from 86,175 individuals considering the period from 2014 to 2018. The constructs evaluated were satisfaction, quality, value, loyalty, and trust. A confidence interval analysis shows that all weights are significant, demonstrating the importance of all the indicators that represent the constructs. The trust, quality, and value constructs can explain 74.4% of the satisfaction construct variability, so this relationship’s explanatory capacity is considered substantial. Finally, the evaluation of the performance of the service provided by the electric energy concessionaires/licensees, measured by customer satisfaction, allows for the continuous improvement of services, and meeting, even if minimally, the expectations of its consumers.
The main objective of this study is to apply structural equation modeling with partial least squares, and based on covariance, to assess the satisfaction of residential electricity consumers. The methodology used compares the results of both structural equation models to indicate the model that best fits the problem of measuring the satisfaction of residential consumers with electricity concessionaires and licensees. The sample used in the survey contained questionnaire responses from 86,175 individuals considering the period from 2014 to 2018. The constructs evaluated were satisfaction, quality, value, loyalty, and trust. A confidence interval analysis shows that all weights are significant, demonstrating the importance of all the indicators that represent the constructs. The trust, quality, and value constructs can explain 74.4% of the satisfaction construct variability, so this relationship’s explanatory capacity is considered substantial. Finally, the evaluation of the performance of the service provided by the electric energy concessionaires/licensees, measured by customer satisfaction, allows for the continuous improvement of services, and meeting, even if minimally, the expectations of its consumers.
Record ID
Keywords
CB-SEM, customer satisfaction, PLS-SEM, quality of service, residential electricity distribution
Subject
Suggested Citation
Santos Neto AS, Reis MRC, Coimbra AP, Soares JCV, Calixto WP. Measure of Customer Satisfaction in the Residential Electricity Distribution Service Using Structural Equation Modeling. (2023). LAPSE:2023.15599
Author Affiliations
Santos Neto AS: Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias, Goiania 74605-010, Brazil; Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74605-010, Brazil [ORCID]
Reis MRC: Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias, Goiania 74605-010, Brazil; Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74605-010, Brazil [ORCID]
Coimbra AP: Institute of Systems and Robotics (ISR), University of Coimbra, 3004-531 Coimbra, Portugal [ORCID]
Soares JCV: Faculty of Science and Technology, Federal University of Goias, Goiania 74605-010, Brazil [ORCID]
Calixto WP: Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias, Goiania 74605-010, Brazil; Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74605-010, Brazil [ORCID]
Reis MRC: Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias, Goiania 74605-010, Brazil; Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74605-010, Brazil [ORCID]
Coimbra AP: Institute of Systems and Robotics (ISR), University of Coimbra, 3004-531 Coimbra, Portugal [ORCID]
Soares JCV: Faculty of Science and Technology, Federal University of Goias, Goiania 74605-010, Brazil [ORCID]
Calixto WP: Studies and Researches in Science and Technology Group (GCITE), Federal Institute of Goias, Goiania 74605-010, Brazil; Electrical, Mechanical & Computer Engineering School, Federal University of Goias, Goiania 74605-010, Brazil [ORCID]
Journal Name
Energies
Volume
15
Issue
3
First Page
746
Year
2022
Publication Date
2022-01-20
ISSN
1996-1073
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Original Submission
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PII: en15030746, Publication Type: Journal Article
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LAPSE:2023.15599
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https://doi.org/10.3390/en15030746
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Mar 2, 2023
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