The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.
Internet banking service quality, e-customer satisfaction and loyalty: the modified e-SERVQUAL model
Abstract
Purpose: This study explores the service quality dimensions in Internet banking and their impact on e-customer’s satisfaction and e-customer’s loyalty. This study tries to inspect the structural association between Internet banking service quality, electronic customer satisfaction and electronic customer loyalty based on separate constructs. Design/methodology/approach: In this present research, quantitative approach is applied. The data is gathered from 500 bank clients in Pakistan by using structured questionnaires, and the theoretical model is tested by partial least square structured equation modeling (PLS-SEM). Moreover, convergent validity and discriminant validity were assessed. Findings: Results show that all the dimensions are found to have a positive and significant influence on customer satisfaction while customer’s satisfaction has a significant and positive impact on customer’s loyalty. Findings indicate that service quality plays a very important role in every society, as it has become the basis for how customers interpret online banking and, in the end, how it interacts and operates with online services. Practical implications: This research adds up considerably to the literature of bank marketing, and it is also fruitful for the academicians since it demonstrates the way Internet banking service quality determinants predict e-satisfaction of clients which ultimately raises the e-loyalty of clients. This study is useful for those E-retailers and managers who want to grab e-retailing market. Originality/value: This research suggests a model which ultimately enhances customer loyalty towards Internet banking service quality through customer satisfaction in Pakistan. It involves modified model of E-SERVQUAL (user friendliness, efficiency of websites, personal need, and site organization) which connects it to electronic customer satisfaction and electronic customer loyalty. Therefore, it will assist the Internet banking sector in building effective marketing tactics, establishing long lasting relationships with clients and acquiring the competitive edge in the market.
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Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
A conceptual model of service quality and its implications for future research
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985) · Journal of Marketing · doi:10.1177/002224298504900403 · Cited by 21,645
Pls-Sem: indeed a silver bullet
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679190202 · Cited by 21,631
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494
An assessment of the use of partial least squares structural equation modeling in marketing research
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-011-0261-6 · Cited by 8,088
A Service Quality Model and its Marketing Implications
Grönroos, C. (1984) · European Journal of Marketing · doi:10.1108/eum0000000004784 · Cited by 6,549
A First Course in Factor Analysis
Comrey, A. L., & Lee, H. B. (2013) · doi:10.4324/9781315827506 · Cited by 4,546
Cited by
Raza, S. A., Qazi, W., Khan, K. A., & Salam, J. (2021) · Journal of Educational Computing Research · doi:10.1177/0735633120960421 · Cited by 510
Self-citationUzir, M. U. H., Al Halbusi, H., Thurasamy, R., Thiam Hock, R. L., Aljaberi, M. A., Hasan, N., & Hamid, M. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2021.102721 · Cited by 478
AI Chatbots in E-Commerce: Enhancing Customer Engagement, Satisfaction and Loyalty
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Metadata
- Authors
- Raza, S. A., Umer, A., Qureshi, M. A., & Dahri, A. S.
- Venue
- The TQM Journal
- Publisher
- Emerald
- Published
- 2020-07-01
- Volume
- 32
- Issue
- 6
- Pages
- 1443-1466
- ISSN
- 0954-478X (ISSN-L)
- 1754-2731
- OpenAlex
- W3039145092
- Cited by
- 444
- References
- 123
- FWCI
- 72.09
- Type
- journal article
- Language
- en
- Open access
- closed
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- Raza, S. A., Umer, A., Qureshi, M. A., & Dahri, A. S. (2020). Internet banking service quality, e-customer satisfaction and loyalty: the modified e-SERVQUAL model. The TQM Journal. https://doi.org/10.1108/tqm-02-2020-0019
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.