A systematic review of the HOLSAT model: Assessing the feasibility of the tripartite data collection approach

The HOLSAT model was developed for assessing holiday satisfaction. The model recommended that future researchers adopt a three-phase data collection approach, measuring expectations before the visit, experiences during the visit, and a second experience measurement after the visit. However, previous studies employing the HOLSAT model encountered difficulties with the tripartite data collection approach, particularly in maintaining contact with respondents. Using the PRISMA framework, this systematic quantitative literature review (SQLR) assesses the usefulness of the HOLSAT tripartite phases data collection approach from seven academic databases: ScienceDirect, Scopus, Web of Science, SAGE, Emerald, EBSCOHost, and ProQuest. Among 20 eligible studies, 85 % employed a one-phase approach, 10 % used a two-phase design, and only 5 % adopted the complete three-phase design. We also identify a systematic positive-attribute bias, with a ratio of about 2:1, note the field's shift toward the “Five As” taxonomy, and find no discernible connection between attribute complexity and phase design. Reviewing prior studies that utilised the HOLSAT model highlights the academic community's recognition of variations in applying the traditional three-phase data collection method, allowing researchers to adopt more practical approaches. This study addresses the gap between the HOLSAT model's recommended data collection process and its application, offering more profound insights into measuring tourist satisfaction across diverse contexts.