Analysis of Perceived Determinants in Customer Service Quality: Focused on A utomotive Air Conditioning Service C enters
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Purpose: The objective of this paper was to determine the actual needs of customers in 3 groups: passenger cars, buses, and truck refrigerators who bring their vehicles to the Service Center to be air conditioner repaired. Design/methodology/approach: We investigated at how variables including service quality (technician skill, service process, and overall quality), customer satisfaction (facility, responsiveness, and satisfaction), and customer loyalty (repeat orders, loyalty) influence customer perceptions. The primary data comes from a questionnaire of 425 customers. Before being analyzed with Confirmatory factor analysis (CFA), it was first tested for reliability using Cronbach alpha, CR, and AVE, all of the questionnaires are reliable. Findings: According to the CFA findings, customer perception has a 95 % confidence impact on customer satisfaction. Following that, a separate analysis of the 3 types of customers was conducted to determine the level of confidence in service quality. Ordinal logistic regression was used to conduct a statistical analysis for a Likert scale question, and it was discovered that customers of passenger cars and buses were more confidence and satisfied with their services than truck refrigerator. Research limitations/implications: There were complexity and uncertainty on this study, but each one led to innovative thinking. Due to prior research, there were no additional studies conducted in the context of automobile, bus, or truck air conditioning repair services. The literature review is so challenging as a result. Given the respondents were drivers, their ideas and opinions may have been clouded during data collecting. Only concentrate on surveys for corporate owners or executives if precise data is required. Originality/value: This focused for discrepancies between perceived significance and satisfaction in hopes of identifying managerial issues related to how well customers perceive the quality of service. It is demonstrated by considering the value of each service-related characteristic. Also, this study shows that CEOs should concentrate on creating service practices that will attract customers towards the service center.
Abstract
Purpose: The objective of this paper was to determine the actual needs of customers in 3 groups: passenger cars, buses, and truck refrigerators who bring their vehicles to the Service Center to be air conditioner repaired. Design/methodology/approach: We investigated at how variables including service quality (technician skill, service process, and overall quality), customer satisfaction (facility, responsiveness, and satisfaction), and customer loyalty (repeat orders, loyalty) influence customer perceptions. The primary data comes from a questionnaire of 425 customers. Before being analyzed with Confirmatory factor analysis (CFA), it was first tested for reliability using Cronbach alpha, CR, and AVE, all of the questionnaires are reliable. Findings: According to the CFA findings, customer perception has a 95 % confidence impact on customer satisfaction. Following that, a separate analysis of the 3 types of customers was conducted to determine the level of confidence in service quality. Ordinal logistic regression was used to conduct a statistical analysis for a Likert scale question, and it was discovered that customers of passenger cars and buses were more confidence and satisfied with their services than truck refrigerator. Research limitations/implications: There were complexity and uncertainty on this study, but each one led to innovative thinking. Due to prior research, there were no additional studies conducted in the context of automobile, bus, or truck air conditioning repair services. The literature review is so challenging as a result. Given the respondents were drivers, their ideas and opinions may have been clouded during data collecting. Only concentrate on surveys for corporate owners or executives if precise data is required. Originality/value: This focused for discrepancies between perceived significance and satisfaction in hopes of identifying managerial issues related to how well customers perceive the quality of service. It is demonstrated by considering the value of each service-related characteristic. Also, this study shows that CEOs should concentrate on creating service practices that will attract customers towards the service center.
참고문헌 (72)
- Anderson, J. C., "Structural equation modeling in practice : A review and recommended two-step approach", Psychological Bulletin, 103(3), pp.411~423 (1988)
- Awang, Z., "An evaluation of measurement model for medical tourism research : the confirmatory factor analysis", International Journal of Tourism Policy, 6(1), pp.29~45 (2015)
- Awang, Z., "An evaluation of measurement model for medical tourism research : the confirmatory factor analysis approach", International Journal of Tourism Policy, 6(1), pp.29~45 (2015)
- Baier, L., "Will the customers be happy? Identifying unsatisfied customers from service encounter data", Journal of Service Management, 32(2), pp.265~288 (2020)
- Baishya, S. R., "Impact of Consumption Emotions on Post-Purchase Satisfaction of Automotive Customers", IUP Journal of Brand Management, 19(2), pp.43~64 (2022)
- "Tourism and hotel business after COVID -19 Krungsri Simple"[URL]
- 24:TeamV,MarkovicM.InternetadvertisingofartificialtanninginAustralia.OncolNursForum,33(2)249-254.,
- Chandel, J. K., "The drivers of customer satisfaction and loyalty in automotive aftermarket industry", International Journal of Business Excellence, 29(3), pp.351~371 (2023)
- Cronbach, L. J., "Coefficient alpha and the internal structure of tests", Psychometrika, 16(3), pp.297~334 (1951)
- Devaraj, S., "Product and service quality : The antecedents of customer loyalty in the automotive industry", Production and Operations Management, 10(4), pp.424~439 (2001)
- Eboli, L., "An ordinal logistic regression model for analysing airport passenger satisfaction", EuroMed Journal of Business, pp.40~57 (2009)
- Eggert, A., "Revenue and profit implications of industrial service strategies", Journal of Service Research, 17(1), pp.23~39 (2014)
- Ekolu, S. O., "Reliability of assessments in engineering education using Cronbach's alpha, KR and split-half methods", Global Journal of Engineering Education, 21(1), pp.24~29 (2019)
- Eygü, H., "Determination of customer satisfaction in conservative concept hotels by ordinal logistic regression analysis", Journal of Financial Risk Management, 6, pp.269~284 (2017)
- Fabbris, L., "Statistica multivariata: analisi esplorativa dei dati" (1997), McGraw-Hill Libri Italia
- Fan, X., "Sensitivity of fit indexes to misspecified structural or measurement model components : Rationale of two-index strategy revisited", Structural Equation Modeling, 12(3), pp.343~367 (2005)
- Gazzoli, G., "The role and effect of job satisfaction and empowerment on customers'perception of service quality : A study in the restaurant industry", Journal of Hospitality & Tourism Research, 34(1), pp.56~77 (2010)
- Gefen, D., "Structural equation modeling and regression : Guidelines for research practice", Communications of the Association for Information Systems, 4(1), pp.3~71 (2000)
- Ghobadian, A., "Service quality : Concepts and models", International Journal of Quality &Reliability Management, 11(9), pp.43~66 (1994)
- Göb, R., "Ordinal methodology in the analysis of Likert scales", Quality &Quantity, 41, pp.601~626 (2007)
- Hair Jr, J. F., "Advanced issues in partial least squares structural equation modeling" (2017), SAGE Publications
- Haryadi, D., "The Role of After Sales Service on Customer Loyalty Mediated by Customer Satisfaction", eCo-Buss, 5(2), pp.583~592 (2022)
- Haywood-Farmer, J., "A conceptual model of service quality", International Journal of Operations & Production Management, 8(6), pp.19~29 (1988)
- Hox, J. J., "Multilevel analysis: Techniques and applications" (2017), Routledge
- Hoyle, R. H., "Sample size considerations in prevention research applications of multilevel modeling and structural equation modeling", Prevention Science, 16, pp.987~996 (2015)
- Hu, L. T., "Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives", Structural Equation Modeling : A Multidisciplinary Journal, 6(1), pp.1~55 (1999)
- Hui, T. K., "Tourists' satisfaction, recommendation and revisiting Singapore", Tourism Management, 28(4), pp.965~975 (2007)
- Hussein, A. S., "The Effect of Brand Experience on Brand Loyalty in Indonesian Automotive Industry : The Mediating Role of Customer Satisfaction and Brand Trust", Journal of Business and Management Review, 3(2), pp.106~118 (2022)
- Javid, M. A., "Commuters' satisfaction with service quality of Airlift and Swvl bus services in Lahore", Engineering and Applied Science Research, 48(3), pp.249~256 (2021)
- Kankanit, S. K. C. U. T., "A study on high-speed rail pricing strategy for thailand based on dynamic optimal pricing model", International Journal of Intelligent Engineering and Systems, 14(3), pp.97~108 (2021)
- Kaplan, D., "Structural equation modeling, foundations and extensions", pp.106~129 (2000), Sage Publications
- Kaplan, D., "Structural equation modeling: Foundations and extensions (Vol. 10)" (2008), SAGE publications
- Kerdpitak, C., "Marketing EffectivenessModel of Tourism Business in Thailand", Journal of Hunan University Natural Sciences, 49(4), pp.77~85 (2022)
- Khan, G. F., "Methodological research on partial least squares structural equation modeling(PLS-SEM) : an analysis based on social network approaches", Internet Research, 29(3), pp.407~429 (2019)
- Lazzari, F., "After Sales as Foreign Customer Loyalty : A Perspective from Dealers of the Automotive Sector", Revista Inteligência Competitiva, 12(1), pp.e0418~e0418 (2022)
- Jung-Yong Lee, "The Effect of Sponsor’s Brand on Consumer–Brand Relationship in Sport Sponsorship", Global Business and Finance Review, 24(1), pp.27~43 (2019), 사람과세계경영학회[DOI]
- Lok, B. L., "The relationship between soft skills training and development, human resource outcome and firm performance", International Journal of Business and Society, 22(1), pp.382~402 (2021)
- Margolies, J. M., "When good service isn't good enough", Price Waterhouse, ~ (1988)
- Menard, S., "Applied logistic regression analysis (No. 106)" (2002), Sage
- Mensah, I., "Customers' perception of food service quality: the case of Cape Coast", Journal of Business and Enterprise Development, pp.138~154 (2009)
- Monnet, X., "Volume responsiveness", Current Opinion in Critical Care, 13(5), pp.549~553 (2007)
- Mool, M. M., "Dealer process efficiency, revenue generation and customer satisfaction utilizing gamification models : An empirical study-With special emphasis on Skoda Auto Volkswagen India Private Limited", Journal of Contemporary Issues in Business and Government, 29(1), pp.88~111 (2023)
- Morton, C., "Customer perceptions of quality of service in public transport : Evidence for bus transit in Scotland", Case Studies on Transport Policy, 4(3), pp.199~207 (2016)
- Mulhern, F. J., "Customer profitability analysis : Measurement, concentration, and research directions", Journal of interactive marketing, 13(1), pp.25~40 (1999)
- 오은지, "An Investigation of Korean Consumers' Service Quality Perception of Imported Retail Services: Implications of Consumer Ethnocentrism", Global Business and Finance Review, 25(1), pp.33~47 (2020), 사람과세계경영학회[DOI]
- Pahrudin, P., "Addressing the Impact of COVID-19 and non-pharmaceutical for perception tourism using frequentist PLS-SEMs", Emerging Science Journal, 5, pp.197~214 (2021)
- Parasuraman, A., "SERVQUAL : A multiple-item scale for measuring consumer perceptions of service quality", Journal of Retailing, 64(1), pp.12~40 (1988)
- Phillips, J. C., "Preliminary Examination and Measurement of the Internship Research Training Environment", Journal of Counseling Psychology, 51(2), pp.240~248 (2004)
- Pholphirul, P., "Service marketing strategies and performances of tourism and hospitality enterprises : Implications from a small border province in Thailand", Asia Pacific Journal of Marketing and Logistics, 34(5), pp.887~905 (2022)
- Pothal, L. K., "Determinants of factors for service quality excellence at dealer end leading to CRM-an AHP approach", International Journal of Business Excellence, 28(1), pp.101~117 (2022)
- Poturak, M., "Client satisfaction and loyalty factors in automotive industry", Journal of Global Social Sciences, 3(10), pp.77~101 (2022)
- Pranoto, F., "The effect of service quality and price on purchase decisions mediated by brand image", Journal of Humanities, Social Science, Public Administration and Management (HUSOCPUMENT), 2(2), pp.67~77 (2022)
- Pyon, C. U., "Service improvement by business process management using customer complaints in financial service industry", Expert Systems with Applications, 38(4), pp.3267~3279 (2011)
- "Covid-19: Threat and opportunity for urban passenger transport in Asia and the pacific" (2012)[URL]
- Risnawati, H., "The effect of service quality prices and of companies to customer satisfaction implications on customer loyalty", International Review of Management and Marketing, 9(6), pp.38~43 (2019)
- Rivaldo, Y., "Influence of Marketing Strategy, Trust, and Perception Service Quality of Purchasing Decisions", Journal Manajemen dan Kewirausahaan, 2(1), pp.99~103 (2022)
- Ruslan, M. S., "The Effect of Information Technology on Business and Marketing Intelligence Systems", pp.2325~2343 (2023), Springer International Publishing
- Sangode, P. B., "Service Quality of Maruti Suzuki and Hyundai Dealer in Nagpur : A Comparative Study", International Journal of Research in Finance & Marketing, 1(1), pp.91~106 (2011)
- Schumacker, R. E., "A beginner's guide to structural equation modeling" (2004), Psychology Press
- Shobeiri, S., "Shaping e-retailer's website personality : The importance of experiential marketing", Journal of Retailing and Consumer Services, 20(1), pp.102~110 (2013)
- Sonita, S. U. M., "Measuring the city bus service quality based on users' perceptions : City bus service in Phnom Penh, Cambodia", Engineering and Applied Science Research, 47(1), pp.47~55 (2020)
- Steiger, J. H., "Understanding the limitations of global fit assessment in structural equation modeling", Personality and Individual Differences, 42(5), pp.893~898 (2007)
- Sukwadi, R., "Extended technology acceptance model for Indonesian mobile wallet : Structural equation modeling approach", Engineering and Applied Science Research, 49(2), pp.146~154 (2022)
- Tanese, A., "La customer satisfaction nelle amministrazioni pubbliche, Valutare la qualità percepita dai cittadini" (2003), Rubbettino editore
- Thaithatkul, P., "Ride-Hailing Applications in Bangkok : Determining Service Quality, Passenger Satisfaction, and Loyalty", International Journal of Technology, 12(5), pp.903~913 (2021)
- "An accumulated number of registered cars in Thailand" (2022)[URL]
- I Putu Utama, "The Role of Traditional Product Development in Building Relationship Quality and its Impact on Resort Hotel Brand Loyalty", Global Business and Finance Review, 24(1), pp.44~58 (2019), 사람과세계경영학회[DOI]
- Warren, A., "Struggles over Skills : Lived Experiences of Evolving Technologies and Gendered Hierarchies at Work", Annals of the American Association of Geographers, 113(5), pp.1~21 (2023)
- Weston, R., "A brief guide to structural equation modeling", The Counseling Psychologist, 34(5), pp.719~751 (2006)
- Guan Xin, "The Impact of Factors FormingEmployee Service Attitude on Service Quality, Customer Satisfaction and Loyalty in the Hotel Industry", Global Business and Finance Review, 25(3), pp.84~95 (2020), 사람과세계경영학회[DOI]
- Yatskiv, I., "Application of ordinal regression model to analyze service quality of Riga coach terminal", Transport, 28(1), pp.25~30 (2013)
- Zaim, H., "Service quality and determinants of customer satisfaction in hospitals : Turkish experience", International Business & Economics Research Journal(IBER), 9(5), pp.51~58 (2010)