A BIBLIOMETRIC REVIEW OF STATISTICAL MODELING TECHNIQUES IN HOSPITALITY RESEARCH: MALAYSIAN AUTHOR’S PERSPECTIVE (2005-2025)
DOI:
https://doi.org/10.55197/qjssh.v6si3.1018Keywords:
bibliometric review, statistical modelling, hospitality research, Malaysian authorsAbstract
The applications of statistical modelling techniques as methodological approach to address complex research questions in hospitality research shows a significant evolvement. However, there remains limited systematic evidence on the types of techniques employed and their evolution of time. This study aims to provide a bibliometric review of statistical modelling techniques applied in Malaysian hospitality research, with a focus on identifying most frequently used methods, examining their developments across time. Using Scopus database, bibliometric data were retrieved on 15th August 2025, cleaned and analysed with VOS viewer to visualize keywords co-occurrence and Microsoft Excel to visualize the yearly trends. The results indicate that structural equation modelling (particularly PLS-SEM) dominate the applications, supporting by factor analysis (EFA and CFA), followed by regression analysis. Findings also reveals that the methodological shift from traditional regression approaches to more complex SEM applications in recent years. Furthermore, the findings also reveals the machine learning techniques starts to gain interest among Malaysia authors. This study offers important and valuable insights into the methodological contributions in hospitality research for both academic and industry stakeholders.
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Copyright (c) 2025 NOR ADILA KEDIN, MOHD FAEEZ SAIFUL BAKHTIAR, ADI HAKIM TALIB
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