A critical review of moderation analysis in tourism and hospitality research toward robust guidelines

被引:49
作者
Rasoolimanesh, S. Mostafa [1 ]
Wang, Mingzhuo [2 ]
Mikulic, Josip [3 ,4 ]
Kunasekaran, Puvaneswaran [1 ,5 ]
机构
[1] Taylors Univ, Ctr Res & Innovat Tourism CRiT, Subang Jaya, Malaysia
[2] Weifang Univ Sci & Technol, Dept Econ & Management, Weifang, Peoples R China
[3] Univ Zagreb, Fac Econ & Business, Zagreb, Croatia
[4] Inst Tourism, Zagreb, Croatia
[5] Taylors Univ, Sch Hospitality Tourism & Events, Subang Jaya, Malaysia
关键词
Interaction effect; Moderation analysis; Moderator; Multi-group analysis (MGA); STRUCTURAL EQUATION MODELS; MEASUREMENT INVARIANCE; MULTIPLE-REGRESSION; HETEROGENEITY; SATISFACTION; INDICATOR;
D O I
10.1108/IJCHM-02-2021-0272
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose This article aims to propose guidelines to develop moderation hypotheses, assess moderators using the multigroup analysis and interaction effect approaches and interpret the results of moderation analysis in tourism and hospitality research. Design/methodology/approach Through a review of 600 articles published in top tourism and hospitality journals from the year 2016 to 2020, and reviewing the literature related to moderation analysis, this study identifies key issues in different steps of moderation analysis and proposes robust guidelines to aid future research. Findings The results of the systematic review uncovered some key issues in different steps of moderation analysis, such as hypothesis development, moderation assessment and results interpretation. The findings emphasized the typical methodological misconceptions and improper practices for moderation analysis. Research limitations/implications Moderation analysis is of great significance to the advancement of theory, and its application has increased significantly in recent years. However, many studies appear to have a limited understanding of moderation analysis and follow questionable practices regarding hypothesis development, moderation assessment and results interpretation, thus leading to suspicious conclusions for theory advancement. By highlighting these methodological issues, this article provides robust guidelines for moderation analysis, which is of great theoretical and methodological significance to the academic research in tourism and hospitality. Originality/value As one of the first studies to provide robust guidelines for moderation analysis, based on a critical and systematic review of papers published in top-tier journals in tourism and hospitality and the latest developments on moderation analysis in the wider literature, this article has important theoretical and methodological significance for the academic research in tourism and hospitality as well as general social science disciplines.
引用
收藏
页码:4311 / 4333
页数:23
相关论文
共 55 条
  • [1] Effect size and power in assessing moderating effects of categorical variables using multiple regression: A 30-year review
    Aguinis, H
    Beaty, JC
    Boik, RJ
    Pierce, CA
    [J]. JOURNAL OF APPLIED PSYCHOLOGY, 2005, 90 (01) : 94 - 107
  • [2] Improving Our Understanding of Moderation and Mediation in Strategic Management Research
    Aguinis, Herman
    Edwards, Jeffrey R.
    Bradley, Kyle J.
    [J]. ORGANIZATIONAL RESEARCH METHODS, 2017, 20 (04) : 665 - 685
  • [3] 30 years of contemporary hospitality management Uncovering the bibliometrics and topical trends
    Ali, Faizan
    Park, Eunhye
    Kwon, Junehee
    Chae, Bongsug
    [J]. INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2019, 31 (07) : 2641 - 2665
  • [4] Altman, 2009, PLOS MED VOL, V6, P1000097
  • [5] Andersson U, 2020, JIBS SPEC COLLECT, P331, DOI [10.1007/978-3-030-22113-3_16, 10.1057/jibs.2014.50]
  • [6] [Anonymous], 1996, Advanced Structural Equation Modeling: Issues and Techniques, DOI DOI 10.1007/BF02291366
  • [7] Probing interactions in fixed and multilevel regression: Inferential and graphical techniques
    Bauer, DJ
    Curran, PJ
    [J]. MULTIVARIATE BEHAVIORAL RESEARCH, 2005, 40 (03) : 373 - 400
  • [8] Becker J.M., 2018, J APPL STRUCTURAL EQ, V2, P1, DOI [10.47263/JASEM.2(2)01, DOI 10.47263/JASEM.2(2)01]
  • [9] DISCOVERING UNOBSERVED HETEROGENEITY IN STRUCTURAL EQUATION MODELS TO AVERT VALIDITY THREATS
    Becker, Jan-Michael
    Rai, Arun
    Ringle, Christian M.
    Voelckner, Franziska
    [J]. MIS QUARTERLY, 2013, 37 (03) : 665 - +
  • [10] Chin W.W., 2010, HDB PARTIAL LEAST SQ, DOI DOI 10.1007/978-3-540-32827-8_8