Chatterjee, Swagato, Ghatak, Arpita, Nikte, Ratnadeep, Gupta, Shivam, Kumar, Ajay (2023) Measuring SERVQUAL dimensions and their importance for customer-satisfaction using online reviews: a text mining approach. Journal of Enterprise Information Management, 36 (1). pp. 22-44. ISSN 1741-0398. E-ISSN 2157-5665. (doi:10.1108/JEIM-06-2021-0252) (KAR id:105688)
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| Official URL: https://doi.org/10.1108/JEIM-06-2021-0252 |
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Abstract
The extant literature has utilized the SERVQUAL scale to measure service quality dimensions and their importance towards customer-satisfaction using close-ended survey-based questions and not open-ended questions and/or user-generated qualitative responses. On the other hand, while measuring customer-satisfaction drivers from user-generated content (UGC), extant studies have majorly used overall or aspect-wise evaluations and not evaluations specific to SERVQUAL dimensions. In this study, the authors try to bridge the gap.
| Item Type: | Article |
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| DOI/Identification number: | 10.1108/JEIM-06-2021-0252 |
| Uncontrolled keywords: | SERVQUAL, Customer Satisfaction, User Generated Content, Text mining, Sentiment Analysis |
| Institutional Unit: | Schools > Kent Business School |
| Former Institutional Unit: |
There are no former institutional units.
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| Depositing User: | Arpita Ghatak |
| Date Deposited: | 05 May 2026 16:48 UTC |
| Last Modified: | 06 May 2026 23:00 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/105688 (The current URI for this page, for reference purposes) |
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