Publication | Closed Access
A Primer on the Conditional Mediation Analysis in PLS-SEM
122
Citations
88
References
2021
Year
Customer SatisfactionLawSocial InfluenceConditional MediationCommunicationContext AnalysisOrganizational BehaviorCausal InferenceInformation Technology ManagementManagementPublic HealthStructural Equation ModelingComputer-mediated CommunicationCausal ModelPls-sem ContextUser AcceptanceModeration AnalysesInformation ManagementCausal ReasoningMarketingInterpersonal CommunicationTechnology Acceptance ModelStatistical InferenceCausalityConditional Mediation Analysis
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.
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