2020
DOI: 10.1108/er-11-2019-0433
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Effect of work engagement on meaningful work and psychological capital: perspectives from social workers in New Zealand

Abstract: PurposeThis paper investigates the effect and the predictive capacity of work engagement on personal and job resources, in the form of psychological capital (PsyCap) and meaningful work in the non-profit organisations (NPO)s settings.Design/methodology/approachData were collected from 303 social workers working in New Zealand's NPOs. The hypotheses were tested using the partial least squares structural equation modelling (PLS-SEM).FindingsResults of this study reveal that work engagement is positively related … Show more

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Cited by 27 publications
(26 citation statements)
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“…PLS-SEM was useful in marketing research due to its ability to perform all the needed analyses in a structural manner and provide the predictive relevance of study (Fam et al , 2020). Finally, PLS-SEM has been deployed in studies of different contexts, including Tourism (Fam et al , 2020) education (Tan et al , 2020b), human resources (Tan et al , 2020a) and technology adoption (Leong et al , 2020).…”
Section: Methodsmentioning
confidence: 99%
“…PLS-SEM was useful in marketing research due to its ability to perform all the needed analyses in a structural manner and provide the predictive relevance of study (Fam et al , 2020). Finally, PLS-SEM has been deployed in studies of different contexts, including Tourism (Fam et al , 2020) education (Tan et al , 2020b), human resources (Tan et al , 2020a) and technology adoption (Leong et al , 2020).…”
Section: Methodsmentioning
confidence: 99%
“…Compared to the covariance-based SEM, Kervenoael et al (2020) elucidated that PLS-SEM offers greater flexibility to early-stage development types of study, which are frequently used for theory testing. Additionally, PLS-SEM has been deployed in studies of different contexts, including tourism (Mathew and Soliman, 2020), events (Tan et al, 2020c), education (Sim et al, 2020) and human resources (Tan et al, 2020a). Considering that the proposed model has not been previously tested before, and the purpose of our research is to extend TPB, PLS-SEM is appropriate for the analysis.…”
Section: Discussionmentioning
confidence: 99%
“…Unlike the covariance-based SEM, PLS-SEM’s strength lies in its ability to perform predictive analysis of the model, which is one of the research objectives. Being a nonparametric method with no distributional assumptions, PLS-SEM is widely deployed in different study contexts, including tourism (Ali et al , 2018; Tan et al , 2020c; Fam et al , 2020), human resources (Tan et al , 2020a; Sarstedt and Danks, 2021; Tan et al , 2020d), education (Ghasemy et al , 2020; Sim et al , 2020; Tan et al , 2020b), technology adoption (Leong et al , 2020; Wong et al , 2019), consumer behavior (Tan et al , 2021) and knowledge management (Cepeda-Carrion et al , 2019). Following the recommendations by Hair et al (2017), we adopted a two-stage approach of assessing the measurement model followed by the structural model.…”
Section: Methodsmentioning
confidence: 99%