Viragos, A, Leach, D and Davis, M orcid.org/0000-0003-1577-7544 (2018) The role of task prosocial job crafting in predicting supervisor ratings of performance. In: Proceedings of the 2018 British Academy of Management Conference. BAM2018: British Academy of Management Conference, 04-06 Sep 2018, University of the West of England, Bristol, UK. British Academy of Management ISBN 978-0-9956413-1-0
Abstract
Prosocial job crafting is a specific form of job crafting, focusing on crafting behaviours led by a prosocial intent. Prosocial job crafting is considered to be a subcategory of job crafting, and we identify three dimensions of the concept, namely task, relational, and cognitive prosocial job crafting. In this paper, we describe a study investigating prosocial job crafting in academic libraries. A structural model with the task element of prosocial job crafting was tested on a sample of participants from Hungary. We found that task prosocial job crafting was predicted by prosocial motivation, while it strongly and positively predicted supervisor ratings of individual performance, consistent with theoretical predictions. Opportunities for impact on beneficiaries was found to strengthen the relationship between prosocial motivation and task prosocial job crafting.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This paper was published in the Proceedings of the 2018 British Academy of Management Conference. |
Keywords: | job crafting; prosocial behaviours; performance |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Management Division Organizational Behaviour (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Sep 2019 14:56 |
Last Modified: | 25 Jun 2023 21:58 |
Published Version: | https://conference.bam.ac.uk/BAM2018/htdocs/index.... |
Status: | Published |
Publisher: | British Academy of Management |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:150405 |