Citation
Abstract
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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Official URL or Download Paper: https://dl.acm.org/doi/10.1145/3505639.3505645
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Additional Metadata
Item Type: | Article |
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Divisions: | School of Business and Economics |
DOI Number: | https://doi.org/10.1145/3505639.3505645 |
Publisher: | Association for Computing Machinery (ACM) |
Keywords: | Conditional mediation; Modeling and simulation; Modeling methodologies |
Depositing User: | Ms. Nuraida Ibrahim |
Date Deposited: | 16 Mar 2023 07:51 |
Last Modified: | 16 Mar 2023 07:51 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1145/3505639.3505645 |
URI: | http://psasir.upm.edu.my/id/eprint/95978 |
Statistic Details: | View Download Statistic |
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