Designing innovative jobs: a fuzzy-set configurational analysis of job characteristics

PurposeHow to design jobs to support innovation is an issue that has received plenty of consideration over the past years. Building on the job characteristics model, the present study is set up to identify configurations of perceived job characteristics for innovation.Design/methodology/approachBy a...

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Bibliographic Details
Published in:Personnel review 2023-02, Vol.52 (1), p.382-399
Main Authors: Cangialosi, Nicola, Battistelli, Adalgisa, Odoardi, Carlo
Format: Article
Language:English
Subjects:
Employees
Employment
Feedback
Humanities and Social Sciences
Innovations
Job design
Motivation
Perceptions
Psychology
Skills
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Summary:PurposeHow to design jobs to support innovation is an issue that has received plenty of consideration over the past years. Building on the job characteristics model, the present study is set up to identify configurations of perceived job characteristics for innovation.Design/methodology/approachBy adopting a fuzzy-set configurational approach (fsQCA), the research question is addressed through a two-wave self-report survey of 199 employees of an Italian manufacturing company.FindingsResults reveal four compatible configurations of job characteristics leading to high levels of innovative work behavior and two for low levels.Practical implicationsThe results offer guidance for managers and organizations that aim to strengthen employee-driven innovation by offering different recipes of job design to maximize the chance of boosting innovative behaviors among their workers.Originality/valueThis research is one of the first to empirically test the relation of job characteristics for innovative behavior using a configurational approach. By doing so it contributes to the literature by advancing the notion that innovative endeavors are determined by the holistic effects of different interdependent configurations of job characteristics.
ISSN:0048-3486
1758-6933
DOI:10.1108/PR-02-2021-0105