Systematic Literature Review (SLR) on the application of regression techniques in hospitality management

Sufi, Tahir and Ahmad, Selim and Islam, Rafikul (2022) Systematic Literature Review (SLR) on the application of regression techniques in hospitality management. Asia Pacific Journal of Innovation in Hospitality and Tourism, 11 (1). pp. 241-266. ISSN 22891471 E-ISSN 27106519

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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.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Hospitality industry, regression technique, systematic literature review
Subjects:	H Social Sciences > HF Commerce > HF5001 Business. Business Administration
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Economics and Management Sciences Kulliyyah of Economics and Management Sciences > Department of Business Administration
Depositing User:	Rafikul Islam
Date Deposited:	19 May 2022 09:37
Last Modified:	19 May 2022 09:37
URI:	http://irep.iium.edu.my/id/eprint/97925

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