A Primer on the Conditional Mediation Analysis in PLS-SEM

被引:70
|
作者
Cheah, Jun-Hwa [1 ]
Nitzl, Christian [2 ]
Roldan, Jose L. [3 ]
Cepeda-Carrion, Gabriel [3 ]
Gudergan, Siegfried P. [4 ]
机构
[1] Univ Putra Malaysia, Sch Business & Econ, Seri Kembangan, Malaysia
[2] Bundeswehr Univ Munich, Munich, Germany
[3] Univ Seville, Management, Dept Business Adm & Mkt, Seville, Spain
[4] James Cook Univ, Strategy, Coll Business Law & Governance, Townsville, Qld, Australia
来源
关键词
PLS-SEM; Partial Least Squares; Structural Equation Modeling; Conditional Mediation Analysis; Conditional Mediation Model; Conditional Indirect Effect; MEASUREMENT INVARIANCE; MODEL SELECTION; PATH MODELS; GUIDELINES; INFERENCE; RECOMMENDATIONS; COLLINEARITY; MANAGEMENT; MODERATION; VALIDITY;
D O I
10.1145/3505639.3505645
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Conditional mediation (CoMe) analysis integrates mediation and moderation analyses to examine and test hypotheses about how mediated relationships vary as a function of context, boundaries, or individual differences. Although CoMe analysis can be a crucial element of empirical studies that seek to advance theory in information systems, applications of such analysis are scarce, in general, and in partial least squares structural equation modeling (PLS-SEM), in particular. This paper clarifies conceptual fundamentals of and develops guidelines for CoMe analysis within the PLS-SEM context. Furthermore, the paper outlines the illustrative use of CoMe analysis in PLS-SEM and presents detailed step-by-step procedures to do so in the PLS-SEM setting. Overall, this paper provides researchers and practitioners with the required knowledge to properly carry out, report, and interpret CoMe analysis in PLS-SEM.
引用
收藏
页码:43 / 100
页数:58
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