Set your mind on it

The mediating role of mindset in the relationship between a learning-from-error climate and work-related flow

Bibliographic Data

ID21625152
AuthorsMarjolein C J Caniëls (0000-0002-4206-4083, Open University of the Netherlands, corresponding author), Katarzyna M Adamska, Katarzyna Adamska (0009-0007-5033-1915, BI Norwegian Business School), Lise A van Oortmerssen (0000-0002-6841-6454, Open University of the Netherlands), Marcel F van Assen (0000-0002-6457-640X, TIAS School for Business and Society)
Year2023
Volume42
Issue3
Pages2067-2076
Publication date2023-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCurrent Psychology (JOURNAL)
Journal identifiersISSN: 1046-1310 • E-ISSN: 1936-4733
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12144-021-01572-3
OpenAlexW3154594244
LanguageEN
Citations received3
References cited74

This study aims to investigate whether and how a learning-from-error climate is associated with work-related flow experiences by employees. Drawing on the tenets of Job Demands-Resources theory, we propose that this relationship is mediated by a work-related growth mindset. The study tests a mediation model by conducting structural equations modelling. Data were gathered in two waves from 159 employees within a Dutch financial organization. Results demonstrate that work-related mindset significantly mediates the relationship between a learning-from-error climate and work-related flow. In this study, we address the call for studies that empirically assess the influence of organizational climate on work-related flow in a multiwave study design. Specifically, we highlight the relevance of understanding how individual dispositions can shape the effects of a learning-from-error climate on work-related flow

Cognitive psychology · Mechanics · Mediation · Mindset · Social science · Sociology · Computer Science · Flow Experience in Various Fields · Mind wandering and attention · Psychological Well-being and Life Satisfaction · Psychology · Social Psychology · Artificial Intelligence

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