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Optimizing Employee Creativity in the Digital Era: Uncovering the Interactional Effects of Abilities, Motivations, and Opportunities
An increasing digitalization in all aspects of life and work reshapes traditional assumptions about human creativity. Both scholars and practitioners raise many questions with regards to how to stimulate employee creativity in the digital work context. While there are many studies that examine predi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037383/ https://www.ncbi.nlm.nih.gov/pubmed/32041278 http://dx.doi.org/10.3390/ijerph17031038 |
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author | Cai, Wenjing Khapova, Svetlana Bossink, Bart Lysova, Evgenia Yuan, Jing |
author_facet | Cai, Wenjing Khapova, Svetlana Bossink, Bart Lysova, Evgenia Yuan, Jing |
author_sort | Cai, Wenjing |
collection | PubMed |
description | An increasing digitalization in all aspects of life and work reshapes traditional assumptions about human creativity. Both scholars and practitioners raise many questions with regards to how to stimulate employee creativity in the digital work context. While there are many studies that examine predictors of employee creativity, little effort has been made thus far to synthesize these findings in way that would provide meaningful guidance to organizations and to provide bases for future research. With this paper we aim to contribute to filling this gap. We systematically review empirical studies on predictors of employee creativity published in the past 30 years and organize findings following an established human resources management framework: Ability–Motivation–Opportunity (AMO) theory. This organizing framework enables us to clearly depict how contextual factors (a) separately and (b) jointly influence individual employee creativity. Specifically, it enables us to depict two possible models—combination and multiplicative models—through which contextual factors interact with individual factors in predicting employee creativity. Through synthesizing evidence for each of the models, we demonstrate to scholars and practitioners what is known about the interactional effects of contextual and personal factors on employee creativity, and what still needs to be studied if we are to take the field of research on creativity in the digital era forward. |
format | Online Article Text |
id | pubmed-7037383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70373832020-03-11 Optimizing Employee Creativity in the Digital Era: Uncovering the Interactional Effects of Abilities, Motivations, and Opportunities Cai, Wenjing Khapova, Svetlana Bossink, Bart Lysova, Evgenia Yuan, Jing Int J Environ Res Public Health Review An increasing digitalization in all aspects of life and work reshapes traditional assumptions about human creativity. Both scholars and practitioners raise many questions with regards to how to stimulate employee creativity in the digital work context. While there are many studies that examine predictors of employee creativity, little effort has been made thus far to synthesize these findings in way that would provide meaningful guidance to organizations and to provide bases for future research. With this paper we aim to contribute to filling this gap. We systematically review empirical studies on predictors of employee creativity published in the past 30 years and organize findings following an established human resources management framework: Ability–Motivation–Opportunity (AMO) theory. This organizing framework enables us to clearly depict how contextual factors (a) separately and (b) jointly influence individual employee creativity. Specifically, it enables us to depict two possible models—combination and multiplicative models—through which contextual factors interact with individual factors in predicting employee creativity. Through synthesizing evidence for each of the models, we demonstrate to scholars and practitioners what is known about the interactional effects of contextual and personal factors on employee creativity, and what still needs to be studied if we are to take the field of research on creativity in the digital era forward. MDPI 2020-02-06 2020-02 /pmc/articles/PMC7037383/ /pubmed/32041278 http://dx.doi.org/10.3390/ijerph17031038 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Cai, Wenjing Khapova, Svetlana Bossink, Bart Lysova, Evgenia Yuan, Jing Optimizing Employee Creativity in the Digital Era: Uncovering the Interactional Effects of Abilities, Motivations, and Opportunities |
title | Optimizing Employee Creativity in the Digital Era: Uncovering the Interactional Effects of Abilities, Motivations, and Opportunities |
title_full | Optimizing Employee Creativity in the Digital Era: Uncovering the Interactional Effects of Abilities, Motivations, and Opportunities |
title_fullStr | Optimizing Employee Creativity in the Digital Era: Uncovering the Interactional Effects of Abilities, Motivations, and Opportunities |
title_full_unstemmed | Optimizing Employee Creativity in the Digital Era: Uncovering the Interactional Effects of Abilities, Motivations, and Opportunities |
title_short | Optimizing Employee Creativity in the Digital Era: Uncovering the Interactional Effects of Abilities, Motivations, and Opportunities |
title_sort | optimizing employee creativity in the digital era: uncovering the interactional effects of abilities, motivations, and opportunities |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037383/ https://www.ncbi.nlm.nih.gov/pubmed/32041278 http://dx.doi.org/10.3390/ijerph17031038 |
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