Using partial least squares structural equation modeling in hospitality and tourism: Do researchers follow practical guidelines?

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Date

2018

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Volume Title

Publisher

Emerald Group Publishing Ltd

Research Projects

Organizational Units

Organizational Unit
Tourism Management
The aim of Atılım University Department of Tourism Management is to train tourism managers who are able to compete at an international level by offering quality education opportunities. Graduates employed as managers in the fields of accommodation, travel, catering, gastronomy, transportation, congress, conference organization begin their professional life while they are still interns. The academic staff consists of faculty members who are experts in their field, as well as sector professionals. With five years of education including the preparatory English courses offered, the courses of the department are in English. The course program consists of applied and theoretical courses devised with respect to the global trends in tourism. Students perform their internship studies at hotel chains, A-Class travel agencies and professional tourism companies. Our Department is in contract with universities abroad within the scope of the Erasmus student Exchange program. With its quality of education documented by TURAK (Tourism Education, Evaluation and Accreditation Board), Atılım university Department of Tourism Management is the first undergraduate program in Turkey to hold the accreditation.

Journal Issue

Abstract

Purpose The purpose of this study is to review the use of partial least squares-structural equation modeling (PLS-SEM) in the field of hospitality and tourism and thereby to assess whether the PLS-SEM-based papers followed the recommended application guidelines and to investigate whether a comparison of journal types (hospitality vs tourism) and journal qualities (top-tier vs other leading) reveal significant differences in PLS-SEM use. Design/methodology/approach A total of 206 PLS-SEM based papers published between 2000 and April 2017 in the 19 SSCI-indexed hospitality and tourism journals were critically analyzed using a wide range of guidelines for the following aspects of PLS-SEM: the rationale of using the method, the data characteristics, the model characteristics, the model assessment and reporting the technical issues. Findings The results reveal that some aspects of PLS-SEM are correctly applied by researchers, but there are still some misapplications, especially regarding data characteristics, formative measurement model evaluation and structural model assessment. Furthermore, few significant differences were found on the use of PLS-SEM between the two fields (hospitality and tourism) and between the journal tiers (top-tier and other leading). Practical implications To enhance the quality of research in hospitality and tourism, the present study provides recommendations for improving the future use of PLS-SEM. Originality/value The present study fills a sizeable gap in hospitality and tourism literature and extends the previous assessments on the use of PLS-SEM by providing a wider perspective on the issue (i.e. includes both hospitality and tourism journals rather than the previous reviews that focus on either tourism or hospitality), using a larger sample size of 206 empirical studies, investigating the issue over a longer time period (from 2000 to April, 2017, including the in-press articles), extending the scope of criteria (guidelines) used in the review and comparing the PLS-SEM use between the two allied fields (hospitality and tourism) and between the journal tiers (top-tier and other leading).

Description

Usakli, Ahmet/0000-0002-7520-8629; Küçükergin, Kemal Gürkan/0000-0003-3761-4340

Keywords

Partial least squares, Path modeling, Structural equation modeling

Turkish CoHE Thesis Center URL

Citation

151

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Q1

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Source

Volume

30

Issue

11

Start Page

3462

End Page

3512

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