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Cognitive biases' influence on employees' product creativity and product performance: evidences from Italian manufacturing technology firms

Cognitive biases' influence on employees' product creativity and product performance: evidences... This paper aims to empirically investigate how cognitive biases influence employees' product creativity (EPC) and related product performance. In particular, the paper primarily studies (1) the direct effect of employees' implicit creativity – based on five cognitive biases – and explicit creativity on EPC; and (2) the mediating role of coworkers' heuristic transfer between shared leadership and EPC.Design/methodology/approachData have been obtained from big Italian manufacturing technology firms through a series of online questionnaires that resulted in 555 answers from R&D employees and their direct managers, who are, respectively, involved and responsible for the proposal of manufacturing technology products. The developed four theoretical hypotheses have been tested through correlation analysis, hierarchical regression, mediation analysis and structured equation modelling.FindingsCognitive biases positively influence EPC in manufacturing technology firms, leading to positive product performance. In particular, implicit creative personality better predicts EPC than explicit creative personality; whilst, shared leadership leads to a cognitive convergence among co-workers through the spread of heuristics that positively influence EPC.Originality/valueThe originality of this work lies in having: (1) investigated the influence of cognitive biases in creativity, (2) hypothesized and proved that co-workers' heuristic transfer mediates the relationship between shared leadership and EPC; (3) conducted the first specific study on employees' creativity in manufacturing technology firms; and (4) first implemented the implicit creative personality measurement, apart from those who conceptualized it. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Manufacturing Technology Management Emerald Publishing

Cognitive biases' influence on employees' product creativity and product performance: evidences from Italian manufacturing technology firms

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References (113)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1741-038X
DOI
10.1108/jmtm-10-2020-0414
Publisher site
See Article on Publisher Site

Abstract

This paper aims to empirically investigate how cognitive biases influence employees' product creativity (EPC) and related product performance. In particular, the paper primarily studies (1) the direct effect of employees' implicit creativity – based on five cognitive biases – and explicit creativity on EPC; and (2) the mediating role of coworkers' heuristic transfer between shared leadership and EPC.Design/methodology/approachData have been obtained from big Italian manufacturing technology firms through a series of online questionnaires that resulted in 555 answers from R&D employees and their direct managers, who are, respectively, involved and responsible for the proposal of manufacturing technology products. The developed four theoretical hypotheses have been tested through correlation analysis, hierarchical regression, mediation analysis and structured equation modelling.FindingsCognitive biases positively influence EPC in manufacturing technology firms, leading to positive product performance. In particular, implicit creative personality better predicts EPC than explicit creative personality; whilst, shared leadership leads to a cognitive convergence among co-workers through the spread of heuristics that positively influence EPC.Originality/valueThe originality of this work lies in having: (1) investigated the influence of cognitive biases in creativity, (2) hypothesized and proved that co-workers' heuristic transfer mediates the relationship between shared leadership and EPC; (3) conducted the first specific study on employees' creativity in manufacturing technology firms; and (4) first implemented the implicit creative personality measurement, apart from those who conceptualized it.

Journal

Journal of Manufacturing Technology Management – Emerald Publishing

Published: May 6, 2022

Keywords: Creativity; Cognitive biases; Heuristic; Manufacturing; Performance; Structured equation modelling

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