Occupation-personality fit is associated with higher employee engagement and happiness

McCarthy, P

Occupation-personality fit is associated with higher employee engagement and happiness

McCarthy, P

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Publication Type:: Working Paper
Citation:: 2022
Issue Date:: 2022

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Field	Value	Language
dc.contributor.author	McCarthy, P https://orcid.org/0000-0003-2629-4521
dc.date.accessioned	2022-12-21T23:24:28Z
dc.date.available	2022-12-21T23:24:28Z
dc.date.issued	2022
dc.identifier.citation	2022
dc.identifier.uri	http://hdl.handle.net/10453/164511
dc.description.abstract	Using large scale data sets about Australians (n=99,897) active on social media in a variety of occupations (n=624) across all industries, we used a variety of linguistic analysis techniques to infer user’s happiness, engagement and Big5 personality traits across 30 dimensions, as well as their occupational-personality fit when compared to others in the same role. We found that: (a) when roles are clustered by the personality traits of those in them there appears to be eight groups or ‘tribes’ made up of roles with similar personality trait combinations; (b) happiness, as measured by inferred current happiness, is positively correlated with occupation-personality fit and; (c) engagement is significantly correlated with occupation-personality fit and can explain over 25% of the variance in engagement in a sample of 18k people across 624 roles. These findings show that occupation and personality fit play a material and significant role in employee engagement, which in turn is known to have many firm-level and economy-wide outcomes.
dc.language	en
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Occupation-personality fit is associated with higher employee engagement and happiness
dc.type	Working Paper
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2022-12-21T23:24:26Z

Abstract:

Using large scale data sets about Australians (n=99,897) active on social media in a variety of occupations (n=624) across all industries, we used a variety of linguistic analysis techniques to infer user’s happiness, engagement and Big5 personality traits across 30 dimensions, as well as their occupational-personality fit when compared to others in the same role. We found that: (a) when roles are clustered by the personality traits of those in them there appears to be eight groups or ‘tribes’ made up of roles with similar personality trait combinations; (b) happiness, as measured by inferred current happiness, is positively correlated with occupation-personality fit and; (c) engagement is significantly correlated with occupation-personality fit and can explain over 25% of the variance in engagement in a sample of 18k people across 624 roles. These findings show that occupation and personality fit play a material and significant role in employee engagement, which in turn is known to have many firm-level and economy-wide outcomes.

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http://hdl.handle.net/10453/164511