ArticleFrontiers in sociology2022
Employee engagement during COVID-19 in Malaysia.
Article in Frontiers in sociology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Enhancing employee performance through motivation: the mediating roles of green work environments and engagement in Jakarta's logistics sector.Frontiers in sociology · 2024Article
- Engaging physicians and nurses in balanced scorecard evaluation-An implication at Palestinian hospitals and recommendations for policy makers.Frontiers in public health · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This objective of this study was to examine the effects of communication, training and development, and transformational leadership on employee engagement during COVID-19 in Malaysia. Four hundred individuals were recruited, and data were analyzed using partial least square structural equation modeling (PLS-SEM). Communication, training and development, and transformational leadership were found to positively affect employee engagement. In the midst of the COVID-19 outbreak, this study investigated the aforementioned factors as part of the reciprocal process between the employee and the employer and their effects on employee engagement, thereby making original theoretical contributions. This study also provides vital insights for businesses to consider when designing effective employee engagement plans for future well-being in the workplace.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.