Exploring factors of service adoption using SERVQUAL paradigm: Its impact on millennials’ adoption of services in the self-drive rental sector
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Author(s)A. S. SureshLink to ORCID Index: https://orcid.org/0000-0002-1719-023X
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Laszlo VasaLink to ORCID Index: https://orcid.org/0000-0002-3805-0244
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Vinod SharmaLink to ORCID Index: https://orcid.org/0000-0002-0815-8502
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Yogesh MahajanLink to ORCID Index: https://orcid.org/0000-0002-7485-0185
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DOIhttp://dx.doi.org/10.21511/im.20(2).2024.15
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Article InfoVolume 20 2024, Issue #2, pp. 182-192
- 196 Views
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72 Downloads
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Creative Commons Attribution 4.0 International License
The self-drive rental sector has witnessed exponential growth in recent years due to rising demand for long and short-distance drives among millennials. This study aims to investigate the quality of services in the self-driving rental sector and its impact on customer adoption or rejection of service in India. The conceptual framework was developed using the SERVQUAL model and other important factors affecting consumers’ service adoption. A quantitative research method was deployed, and data were gathered through a survey method using a structured questionnaire (based on a 5-point Likert scale). The sample size comprised 385 respondents, 23-38 years old millennials (with 69% of males and 31% of females). The population sample was chosen from Delhi, Mumbai, and Bangalore, India. The data were collected in March 2023. The factor and regression analyses were applied along with chi-square and SEM analyses to test the research hypotheses. The results indicated that the absence of low prices (42%), customer assistance (28 %), and security issues is responsible for consumer rejection. The factors leading to dissatisfaction are the absence of consumer schemes and discounts, a lack of staff interaction and assistance, and poor service quality. The brands must focus on the negative impact arising from the absence of these factors and effectively address the areas of improvement to regain customer trust and garner customer loyalty.
- Keywords
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JEL Classification (Paper profile tab)M31, M13, L84
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References38
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Tables8
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Figures1
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- Figure 1. Proposed conceptual framework
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- Table 1. Reliability statistics
- Table 2. KMO and Bartlett’s test for factors leading to consumer satisfaction
- Table 3. Rotated component matrix for factors leading to consumer satisfaction
- Table 4. KMO and Bartlett’s test for factors leading to consumer dissatisfaction
- Table 5. Rotated component matrix for factors leading to consumer dissatisfaction
- Table 6. Model summary for brand attributes leading to service adoption
- Table 7. ANOVA for brand attributes leading to service adoption
- Table 8. Correlations for SEM analysis
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- Akhter, S. H. (2010). Service attributes satisfaction and actual repurchase behavior: The mediating influence of overall satisfaction and purchase intention. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 23, 52-64.
- Ansari, A., & Riasi, A. (2016). Modelling and evaluating customer loyalty using neural networks: Evidence from startup insurance companies. Future business journal, 2(1), 15-30.
- Bajpai, A., & Lee, Ch-W. (2015). Consumer behaviour in e-tourism services: A case of Taiwan. Tourism and Hospitality Management, 21(1), 1-17.
- Baksi, A. K. (2014). Deterministic role of service recovery in identifying tolerance adequacy gap and variation in service recovery impact across the same. Journal of Contemporary Management Research, 8(1), 24-51.
- Balbin-Romero, G., Carrera-Mija, E., Serrato-Cherres, A., & Cordova-Buiza, F. (2022). Relationship between e-banking service quality based on the e-SERVQUAL model and customer satisfaction: A study in a Peruvian bank. Banks and Bank Systems, 17(4), 180-188.
- Chala, N., Poplavska, O., Danylevych, N., Ievseitseva, O., & Sova, R. (2022). Intrinsic motivation of millennials and generation Z in the new post-pandemic reality. Problems and Perspectives in Management, 20(2), 536-550.
- Charsetad, P., Vazifehdoost, H., & Nikoomaram, H. (2016). Coping behaviors V.S Customer Complaint Behavior: A Study of Iranian Consumers ‘Coping Behaviors with Service Failures. Revista Brasileira De Marketing, 15(5), 566-575.
- Chelminski, P., & Coulter, R. A. (2011). An examination of consumer advocacy and complaining behavior in the context of service failure. Journal of Services Marketing, 25(5), 361-370.
- Chornous, G., Nikolskyi, I., Wyszyński, M., Kharlamova, G., & Stolarczyk, P. (2021). A hybrid user-item-based collaborative filtering model for e-commerce recommendations. Journal of International Studies, 14(4), 157-173.
- Dhawan, S., & Yadav, P. (2018). E-cab hailing: A study on consumer behaviour. ELK Asia Pacific Journal of Marketing & Retail Management, 9(3).
- Febriandika, N. R., Harun, Hakimi, F., & Masrizal (2023). Determinants of consumer adoption of Islamic mobile banking services in Indonesia. Banks and Bank Systems, 18(4), 30-43.
- Fox, A. K., Deitz, G. D., Royne, M. B., & Fox, J. D. (2018). The face of contagion: Consumer response to service failure depiction in online reviews. European Journal of Marketing, 52(1/2), 39-65.
- Gera, R. (2011). Modelling the service antecedents of favourable and unfavourable behaviour intentions in life insurance services in India: An SEM study. International Journal of Quality and Service Sciences, 3(2), 225-242.
- Gi Park, S., Kim, K., & O’Neill, M. (2014). Complaint behavior intentions and expectation of service recovery in individualistic and collectivistic cultures. International Journal of Culture, Tourism and Hospitality Research, 8(3), 255-271.
- Hamzagic, E., & Tournois, N. (2021). New dimension in the Bank Service Quality (BSQ) measurement scale: An empirical investigation. Journal of International Studies, 14(4), 131-142.
- Hasan, M., Khan, M. N., & Farooqi, R. (2019). Service quality measurement models: Comparative analysis and application in airlines industry. Global Journal of Enterprise Information System, 11(2), 29-41.
- Kadyan, S., Bhasin, N., & Madhukar, V. (2022). Impact of claim settlement procedure of health insurance companies on customer satisfaction during the pandemic: A case of third-party administrators. Insurance Markets and Companies, 13(1), 66-80.
- Kalla, N., & Purohit, H. (2017). Designing service offering in the e-marketing era: A case study of Ola Cabs. International Journal on Customer Relations, 5(1).
- Kim, M. G., Wang, C., & Mattila, A. S. (2010). The relationship between consumer complaining behavior and service recovery. International Journal of Contemporary Hospitality Management, 22(7), 975-991.
- Kim, M. G., Wang, C., & Mattila, A. S. (2010). The relationship between consumer complaining behavior and service recovery. International Journal of Contemporary Hospitality Management, 22(7), 975-991.
- Kollmann, J., & Dobrovič, J. (2022). Key factors of organizational and management structures in the formation of competitive strategy. Journal of International Studies, 15(3), 130-144.
- Komari, N., & Djafar, F. (2023). Effect of healthcare workers’ personalities on health service quality: A case study of hospitals on the Malaysia-Indonesia border. Problems and Perspectives in Management, 21(1), 69-82.
- Kruger, L-M., Mostert, P., & De Beer, L. T. (2015). Relationship intention and satisfaction following service recovery: The mediating role of perceptions of service recovery in the cell phone industry. South African Journal of Economic and Management Sciences, 18(4), 608-628.
- Lalicic, L., & Weismayer, C. (2018). A model of tourists’ loyalty: The case of Airbnb. Journal of Hospitality and Tourism Technology, 9(1), 80-93.
- Li, X., & Hitt, L. M. (2010). Price effects in online product reviews: An analytical model and empirical analysis. MIS Quarterly, 34(4), 809-831.
- Lin, H. T. (2010). Fuzzy application in service quality analysis: An empirical study. Expert systems with Applications, 37(1), 517-526.
- McCole, P. (2003). Towards a re-conceptualisation of service failure and service recovery: A consumer-business perspective. Irish Journal of Management, 24(2), 11-19.
- McColl, R., Mattsson, J., & Morley, C. (2005). The effects of service guarantees on service evaluations during a voiced complaint and service recovery. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 18, 32-50.
- Ngai, E. W. T., Heung, V. C. S., Wong, Y. H., & Chan, F. K. Y. (2007). Consumer complaint behaviour of Asians and non-Asians about hotel services: An empirical analysis. European Journal of Marketing, 41(11/12), 1375-1391.
- Nikolajenko-Skarbalė, J., & Viederytė-Žilienė, R. (2023). Transformations of customer loyalty attitude in marketing: Key components of modern loyalty. Innovative Marketing, 19(4), 105-123.
- Odoom, R., Agbemabiese, G. C., & Hinson, R. E. (2020). Service recovery satisfaction in offline and online experiences. Marketing Intelligence & Planning, 38(1), 1-14.
- Prokopjeva, E., Tankov, E., Shibaeva, T., & Perekhozheva, E. (2021). Behavioral models in insurance risk management. Investment Management and Financial Innovations, 18(4), 80-94.
- Shankar, N., Vinod, S., & Kamath, R. (2022). Financial well-being – A Generation Z perspective using a structural equation modeling approach. Investment Management and Financial Innovations, 19(1), 32-50.
- Sharma, K., & Das, S. (2017). Service quality and customer satisfaction – With special focus on the online cab industry in India. International Journal of Business and Management, 12(7).
- Shava, H. (2021). The relationship between service quality and customer satisfaction in the South African mobile network telecommunications industry. Journal of International Studies, 14(2), 70-83.
- Shaw, S., Chovancová, M., & Bejtkovský, J. (2022). Managing price changes: Role of consumer thinking styles on perceived price fairness and purchase intention. Innovative Marketing, 18(2), 212-223.
- Sing, S. A., & Rakshit, P. (2020). A review of literature to understand consumers buying behavior towards online shopping. International Journal of Advance and Innovative Research, 7(1), 68-72.
- Verma, M., Verma, A., & Narsaria, I. (2022). Measuring sentiments and attitude of people toward self-drive rental car services in Bangalore City, India. Transportation letters, 14(6), 622-628.
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The impact of leadership styles on service quality and customer satisfaction: A comparative analysis between foreign and domestic capital banks in Kosovo
Vrullim Buja ,
Fidan Qerimi ,
Arberesha Behluli
doi: http://dx.doi.org/10.21511/im.18(3).2022.16
Innovative Marketing Volume 18, 2022 Issue #3 pp. 181-196 Views: 1118 Downloads: 263 TO CITE АНОТАЦІЯThis study measured the impact of leadership styles on service quality and the impact of service quality on customer satisfaction. In addition, it analyzed whether there is a difference in service quality and customer satisfaction between banks by categorizing them by capital types. The quantitative method was used to achieve the objectives. The sample comprised 360 employees of Kosovo banks, where 99 employees were from banks with domestic capital, and 261 were from foreign capital banks. According to the OLS model, the authoritarian style has a more significant impact on the service quality in banks with foreign capital. In contrast, in banks with domestic capital, a transactional style significantly impacts service quality. According to the t-test, there is a statistically significant relationship between consumer satisfaction and banks with foreign and domestic capital, with the greatest consumer satisfaction in banks with foreign capital. However, considering the service quality, the t-test showed a non-significant result, which means that there is no difference in the service quality between the two categories of banks. This paper found that the leadership style has a higher effect on the service quality of the two categories of banks, recommending that banks fill the gap between the style used and the one that affects the service quality best. Banks also received feedback on customer satisfaction to strengthen SERVQUAL model components, improving service quality and increasing customer satisfaction.
Acknowledgment
The authors are grateful to AAB College for the support in preparing this paper. -
Public transportation and service quality management during the COVID-19 outbreak: A case study of Tunisia
Imen Zorgati ,
Hajer Zorgati ,
Elmoez Zaabi
doi: http://dx.doi.org/10.21511/ppm.19(3).2021.24
Problems and Perspectives in Management Volume 19, 2021 Issue #3 pp. 298-308 Views: 916 Downloads: 210 TO CITE АНОТАЦІЯThis study aims to investigate the quality management of public transportation services in the Tunisian context during the COVID-19 outbreak. The empirical study was based on the conjoint analysis approach. The sample collected is composed of 250 individuals who often use the train as a means of transport and the pairwise comparison method is adopted for conjoint analysis.
This study assesses quality management of customer service and takes into account four aspects of service quality such as comfort, way of reservation (possibility of online booking), speed, and safety. The findings revealed that the optimal combination of service offered by the Tunisian national railway company is characterized by the terms “first class”, “online booking”, “express”, and “safety”. It is favored by Tunisian customers during the COVID-19 outbreak.
Additionally, the results show that the maximum utility corresponds to the “safety train” modality followed by “second class”, “online booking”, and finally “stopover”. Moreover, the use of new information and communication technologies (NICT) has importance for train users during the COVID-19 outbreak. Indeed, Tunisians are looking for safety and measures to reduce crowding in a train, to minimize the risk of contagion of COVID-19 outbreak.
