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Water Utility Service Quality Index: A customer-centred approach for assessing the quality of service in the water sector

Author

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  • Vilarinho, Hermilio
  • Pereira, Miguel Alves
  • D’Inverno, Giovanna
  • Nóvoa, Henriqueta
  • Camanho, Ana S.

Abstract

This work delves into the crucial role of service quality in the water supply and sanitation sector. Despite extensive research and implementation of quality management practices in this sector, a universally accepted definition of quality is still lacking, resulting in various service quality assessment procedures that are difficult to compare. To address this issue, the World Bank launched the ‘Utility of the Future’ (UoF) programme, aiming to guide water service providers in their efforts to become future-focused utilities that offer reliable, safe, inclusive, transparent, and responsive services through best-fit practices. Building upon the framework provided by the UoF programme, this study proposes the Water Utility Service Quality Index (WUSQI) - a composite indicator that reflects the quality of service provided by water supply and sanitation utilities from a customer perspective. Based on Data Envelopment Analysis, the Benefit-of-the-Doubt approach is employed to assign weights for aggregating the indicators representing the diverse performance dimensions. The study operationalises the WUSQI to assess the quality of Portuguese wholesale water and wastewater companies using data collected by the national regulator of water and waste services. A Multiple Criteria Decision Analysis technique, the Deck of Cards method, is used to specify an indicator of transparency from the information made available by the regulated utilities. The results show the effectiveness of this tool for evaluating and measuring service quality at the company level. Additionally, the findings highlight areas for improvement in the utilities’ performance. By enabling companies and regulators to identify areas for improvement, the WUSQI can support the delivery of high-quality services to customers.

Suggested Citation

  • Vilarinho, Hermilio & Pereira, Miguel Alves & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2024. "Water Utility Service Quality Index: A customer-centred approach for assessing the quality of service in the water sector," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    • Handle: RePEc:eee:soceps:v:92:y:2024:i:c:s0038012123003099
    DOI: 10.1016/j.seps.2023.101797
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    as
    1. Pakdil, Fatma & Aydın, Özlem, 2007. "Expectations and perceptions in airline services: An analysis using weighted SERVQUAL scores," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 229-237.
    2. Kim Woodbury & Brian Dollery, 2004. "Efficiency Measurement in Australian Local Government: The Case of New South Wales Municipal Water Services," Review of Policy Research, Policy Studies Organization, vol. 21(5), pages 615-636, September.
    3. Pinto, F.S. & Costa, A.S. & Figueira, J.R. & Marques, R.C., 2017. "The quality of service: An overall performance assessment for water utilities," Omega, Elsevier, vol. 69(C), pages 115-125.
    4. D’Inverno, Giovanna & De Witte, Kristof, 2020. "Service level provision in municipalities: A flexible directional distance composite indicator," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1129-1141.
    5. Mocholi-Arce, Manuel & Sala-Garrido, Ramon & Molinos-Senante, Maria & Maziotis, Alexandros, 2021. "Performance assessment of water companies: A metafrontier approach accounting for quality of service and group heterogeneities," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    6. Picazo-Tadeo, Andres J. & Saez-Fernandez, Francisco J. & Gonzalez-Gomez, Francisco, 2008. "Does service quality matter in measuring the performance of water utilities," Utilities Policy, Elsevier, vol. 16(1), pages 30-38, March.
    7. R. Allen & A. Athanassopoulos & R.G. Dyson & E. Thanassoulis, 1997. "Weights restrictions and value judgements in Data Envelopment Analysis: Evolution, development and future directions," Annals of Operations Research, Springer, vol. 73(0), pages 13-34, October.
    8. Elshaer, Ibrahim, 2012. "What is the Meaning of Quality?," MPRA Paper 57345, University Library of Munich, Germany.
    9. D’Inverno, Giovanna & Carosi, Laura & Romano, Giulia, 2021. "Environmental sustainability and service quality beyond economic and financial indicators: A performance evaluation of Italian water utilities," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    10. A Zanella & A S Camanho & T G Dias, 2013. "Benchmarking countries’ environmental performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(3), pages 426-438, March.
    11. Jian Chang & Wanhua Li & Yaodong Zhou & Peng Zhang & Hengxin Zhang, 2022. "Impact of Public Service Quality on the Efficiency of the Water Industry: Evidence from 147 Cities in China," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    12. Morais, Paulo & Camanho, Ana S., 2011. "Evaluation of performance of European cities with the aim to promote quality of life improvements," Omega, Elsevier, vol. 39(4), pages 398-409, August.
    13. Joe Sarkis, 2007. "Preparing Your Data for DEA," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 305-320, Springer.
    14. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    15. Corrente, S. & Figueira, J.R. & Greco, S., 2021. "Pairwise comparison tables within the deck of cards method in multiple criteria decision aiding," European Journal of Operational Research, Elsevier, vol. 291(2), pages 738-756.
    16. Alexandros Maziotis & María Molinos-Senante & Ramon Sala-Garrido, 2017. "Assesing the Impact of Quality of Service on the Productivity of Water Industry: a Malmquist-Luenberger Approach for England and Wales," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(8), pages 2407-2427, June.
    17. Vilarinho, Hermilio & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2023. "Performance analytics for regulation in retail water utilities: Guiding asset management by identifying peers and targets," Utilities Policy, Elsevier, vol. 82(C).
    18. Vilarinho, Hermilio & D’Inverno, Giovanna & Nóvoa, Henriqueta & Camanho, Ana S., 2023. "The measurement of asset management performance of water companies," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    19. Henriques, Alda A. & Camanho, Ana S. & Amorim, Pedro & Silva, Jaime G., 2020. "Performance benchmarking using composite indicators to support regulation of the Portuguese wastewater sector," Utilities Policy, Elsevier, vol. 66(C).
    20. Ramon Sala-Garrido & Manuel Mocholí-Arce & María Molinos-Senante, 2021. "Assessing the Quality of Service of Water Companies: a ‘Benefit of the Doubt’ Composite Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 371-387, May.
    21. Molinos-Senante, María & Delgado-Antequera, Laura & Gómez, Trinidad, 2022. "Measuring the quality of service of water companies: A two-stage goal programming synthetic index proposal," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    22. Timo Kuosmanen, 2002. "Modeling Blank Data Entries in Data Envelopment Analysis," Econometrics 0210001, University Library of Munich, Germany.
    23. Rogge, Nicky & De Jaeger, Simon & Lavigne, Carolien, 2017. "Waste Performance of NUTS 2-regions in the EU: A Conditional Directional Distance Benefit-of-the-Doubt Model," Ecological Economics, Elsevier, vol. 139(C), pages 19-32.
    24. Mergoni, Anna & D'Inverno, Giovanna & Carosi, Laura, 2022. "A composite indicator for measuring the environmental performance of water, wastewater, and solid waste utilities," Utilities Policy, Elsevier, vol. 74(C).
    25. Saal, David S & Parker, David, 2001. "Productivity and Price Performance in the Privatized Water and Sewerage Companies of England and Wales," Journal of Regulatory Economics, Springer, vol. 20(1), pages 61-90, July.
    26. Abubakar, Ismaila Rimi, 2016. "Quality dimensions of public water services in Abuja, Nigeria," Utilities Policy, Elsevier, vol. 38(C), pages 43-51.
    27. Ram Komal Prasad & Sanjeev Verma, 2022. "Service quality measures: systematic literature review and future research directions," International Journal of Management Practice, Inderscience Enterprises Ltd, vol. 15(1), pages 9-23.
    28. Figueira, Jose & Roy, Bernard, 2002. "Determining the weights of criteria in the ELECTRE type methods with a revised Simos' procedure," European Journal of Operational Research, Elsevier, vol. 139(2), pages 317-326, June.
    29. Alda A. Henriques & Milton Fontes & Ana S. Camanho & Giovanna D’Inverno & Pedro Amorim & Jaime Gabriel Silva, 2022. "Performance evaluation of problematic samples: a robust nonparametric approach for wastewater treatment plants," Annals of Operations Research, Springer, vol. 315(1), pages 193-220, August.
    30. Pereira, Miguel Alves & Camanho, Ana Santos & Figueira, José Rui & Marques, Rui Cunha, 2021. "Incorporating preference information in a range directional composite indicator: The case of Portuguese public hospitals," European Journal of Operational Research, Elsevier, vol. 294(2), pages 633-650.
    31. Maria Molinos-Senante & Alexandros Maziotis & Andres Villegas, 2022. "Performance analysis of Chilean water companies after the privatization of the industry: the influence of ownership," Water International, Taylor & Francis Journals, vol. 47(1), pages 114-131, January.
    32. Pereira, Miguel Alves & Vilarinho, Hermilio & D’Inverno, Giovanna & Camanho, Ana S., 2023. "A regulatory robust conditional approach to measuring the efficiency of wholesale water supply and wastewater treatment services," Utilities Policy, Elsevier, vol. 83(C).
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