Skip to content
Research Article Open access CC BY 4.0

Service Quality and Customers’ Willingness to Pay for Vehicle Repairs and Maintenance Services

Collins Kankam-Kwarteng, Stephen Acheampong, Frank Amoateng

Journal of Scientific Research and Reports · pp. 1–11 · Published 8 Apr 2016

10.9734/JSRR/2016/24918

Abstract

This study assesses customer perception, customer expectation of service quality and their willingness to pay for vehicle repairs and maintenance services among patrons of small scale auto mechanics services in the Kumasi metropolis. Many organisations view service quality as only a support mechanism, rather than a viable competitive strategy. The SERVQUAL model was used to determine how customer expectation and perception of service quality influence the willingness to pay for auto mechanical services. A descriptive design was used and data was collected from two hundred (200) customers within the Kumasi Metropolis using questionnaire design. The data was analysed using SPSS. It was found that all the determinants of service quality (SERVQUAL); tangibility, reliability, responsiveness, assurance and empathy have a relationship with willingness to pay. However, customers’ perceptions of service quality offered by mechanical service industry did not meet their expectations (all gaps scores recorded negative except one). For the purpose of expanding knowledge in the field of the small scale auto mechanic industry future researchers should investigate into the factors influencing service quality in the small scale auto mechanics that engage in vehicle repairs and maintenance; service quality and customer satisfaction, how they are measured in terms of customer Willingness-To-Pay for vehicle repairs and maintenance services

Service quality customer willingness to pay.

References (22)

  1. 1 A Conceptual Model of Service Quality and Its Implications for Future Research [DOI]
  2. 2 A Conceptual Model of Service Quality and Its Implications for Future Research [DOI]
  3. 3 Zero defections: quality comes to services.
  4. 4 The Price is Unfair! A Conceptual Framework of Price Fairness Perceptions [DOI]
  5. 5 The PIMS principles: Linking strategy to performance [DOI]
  6. 6 Problems and Strategies in Services Marketing [DOI]
  7. 7 A Dynamic Model of Customers’ Usage of Services: Usage as an Antecedent and Consequence of Satisfaction [DOI]
  8. 8 Empirical Generalizations from Reference Price Research [DOI]
  9. 9 Measuring Consumers' Willingness to Pay at the Point of Purchase [DOI]
  10. 10 A Dynamic Model of Customers' Usage of Services: Usage as an Antecedent and Consequence of Satisfaction [DOI]
  11. 11 Improving service quality in America: Lessons learned [DOI]
  12. 12 Growth strategies for service firms [DOI]
  13. 13 Perceptions of Price Unfairness: Antecedents and Consequences [DOI]
  14. 14 Development of a taxonomy of services to gain strategic marketing insights [DOI]
  15. 15 Service Quality and Perceived Value's Impact on Satisfaction, Intention and Usage of Short Message Service (SMS) [DOI]
  16. 16 Leadership in Public Organizations: An Introduction
  17. 17 Consumer evaluations of goods and services: implications for services marketing [DOI]
  18. 18 Marketing of Services An Evaluation of the Theory [DOI]
  19. 19 Marketing Intermediaries in Channels of Distribution for Services [DOI]
  20. 20 Is services marketing “really” different? [DOI]
  21. 21 Income Inequality and Willingness to Pay for Environmental Public Goods [DOI]
  22. 22 Income inequality and willingness to pay for public environmental goods [DOI]

Cited by 10

Rural communities' perception of and willingness to pay for wastewater and stormwater management infrastructure in Bihar, India

Mohammad Rashid, Debapratim Pandit · Journal of Water, Sanitation and Hygiene for Development · 2020

Customer perception of service quality in times of covid-19

Juan José Sanchez Malpica, Zoila Verónica Zevallos Gallardo · Revista Iberoamericana de educación · 2021

Next Level Service Performance - Intelligent Order Assistants in Automotive After Market

Joachim Reiter, Andrea Mueller, Uwe Hartmann · Lecture Notes in Computer Science · 2019

Showing 5 of 10 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

52

Page views

0

PDF downloads

8

Outbound clicks

10

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.