Systematic Literature Review Dataset – Customer Experience in the Hotel Industry

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Authors: Mónica Veloso, MÓNICA GÓMEZ-SUÁREZ
Cited by: 0

Abstract

1. Description This dataset contains the full extraction matrix used in the systematic literature review (SLR) published in: Veloso, M., & Gómez-Suárez, M. (2023). Customer experience in the hotel industry: a systematic literature review and research agenda. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/IJCHM-04-2022-0517 The dataset includes all articles identified and selected through a PRISMA-based procedure from Scopus and Web of Science databases. The final sample includes 46 peer-reviewed journal articles (2006–2021) focused exclusively on customer experience (CX) in the hotel industry. 2. Search strategy Databases: Scopus Web of Science Keywords used: “Customer experience” AND hotel “Consumer experience” AND hotel “Brand experience” AND hotel “Hotel experience” “Guest experience” Selection procedure: Identification Screening Eligibility Inclusion (PRISMA adapted protocol) Initial records: 1,236After screening: 281After eligibility assessment: 142Final included articles: 46 3. Variables included in dataset The dataset contains the following variables (adaptar a lo que efectivamente esté en tu Excel): Author(s) Year Journal Country/context Methodology (quantitative, qualitative, mixed) Data collection method Theoretical framework used Definition of CX CX dimensions Antecedents Consequences Mediators Moderators Research gaps identified 4. Inclusion criteria Peer-reviewed journal articles English language Focus exclusively on customer experience in hotels Title or abstract includes selected keywords Exclusion criteria: Studies focused on Airbnb or peer-to-peer accommodations Studies addressing hospitality in general without specific hotel focus 5. File format XLSX format No personal or confidential data included All data extracted from published academic sources

Fields of Study & Subjects

Customer Service Quality and Loyalty Diverse Aspects of Tourism Research AI in Service Interactions

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 February 2026
Language
EN