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    Understanding and shaping the future of work with self-determination theory.

    88987.pdf (856.3Kb)
    Access Status
    Open access
    Authors
    Gagné, Marylène
    Parker, Sharon
    Griffin, Mark
    Dunlop, Patrick
    Knight, Caroline
    Klonek, Florian
    Parent-Rocheleau, Xavier
    Date
    2022
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Gagné, M. and Parker, S.K. and Griffin, M.A. and Dunlop, P.D. and Knight, C. and Klonek, F.E. and Parent-Rocheleau, X. 2022. Understanding and shaping the future of work with self-determination theory. Nature Reviews Psychology. 1 (7): pp. 378-392.
    Source Title
    Nature Reviews Psychology
    DOI
    10.1038/s44159-022-00056-w
    Faculty
    Faculty of Business and Law
    School
    Future of Work Institute
    URI
    http://hdl.handle.net/20.500.11937/89163
    Collection
    • Curtin Research Publications
    Abstract

    Self-determination theory has shaped our understanding of what optimizes worker motivation by providing insights into how work context influences basic psychological needs for competence, autonomy and relatedness. As technological innovations change the nature of work, self-determination theory can provide insight into how the resulting uncertainty and interdependence might influence worker motivation, performance and well-being. In this Review, we summarize what self-determination theory has brought to the domain of work and how it is helping researchers and practitioners to shape the future of work. We consider how the experiences of job candidates are influenced by the new technologies used to assess and select them, and how self-determination theory can help to improve candidate attitudes and performance during selection assessments. We also discuss how technology transforms the design of work and its impact on worker motivation. We then describe three cases where technology is affecting work design and examine how this might influence needs satisfaction and motivation: remote work, virtual teamwork and algorithmic management. An understanding of how future work is likely to influence the satisfaction of the psychological needs of workers and how future work can be designed to satisfy such needs is of the utmost importance to worker performance and well-being.

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