Tahir Sufi, Selim Ahmad & Rafikul Islam
Abstract: Managers are expected to make data-driven decisions instead of simply making a decision based on general observations or intuition. In this regard, regression analysis is one of the data analysis techniques that guides managers in forecasting and optimising decision-making. Further, advanced statistical techniques in the research studies of any academic discipline also demonstrate scientific progress and degree of maturity as well as establish the generation of non-speculative knowledge. Over the decades, a large number of regression types and models have evolved. However, no Systematic Literature Reviews (SLRs) are available in the literature to investigate how this technique is applied to different hospitality business areas. As such, this study reviewed regression analysis in 194 articles published in 49 Scopus-indexed journals between 1998 and 2020. Results show that most of the hospitality research articles based on regression analysis are published in high-impact journals. However, the results also reveal that HRM (37%) and Marketing (29%) dominate within the hospitality domain. Based on these findings, suggestions to improve the use of various types of regression methods in hospitality studies are discussed.
Keywords: Hospitality industry, regression technique, systematic literature review