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Measuring SERVQUAL dimensions and their importance for customer-satisfaction using online reviews: a text mining approach

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)

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
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.
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)

University of Kent Author Information

Ghatak, Arpita.

Creator's ORCID: https://orcid.org/0000-0002-1721-3024
CReDIT Contributor Roles: Visualisation (Supporting), Formal analysis (Supporting), Writing - review and editing (Supporting), Validation (Equal), Data curation (Equal), Project administration (Equal), Resources (Equal), Methodology (Supporting), Supervision (Equal), Writing - original draft (Equal), Conceptualisation (Supporting), Investigation (Equal)
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