Driving creativity in the AI-enhanced workplace: roles of self-efficacy and transformational leadership
Current Psychology, ISSN: 1936-4733
2024
- 2Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures2
- Readers2
Article Description
The rapid integration of artificial intelligence (AI) within organizational processes has profound implications for employee creativity and organizational innovation. This study examines how AI adoption influences employee creativity through the mediating role of creative self-efficacy, and how transformational leadership moderates this relationship. By integrating social cognitive theory and social exchange theory, we hypothesize that AI adoption enhances employee creativity, primarily through increased creative self-efficacy. Furthermore, we posit that transformational leadership strengthens the positive impact of AI adoption on creative self-efficacy, thereby amplifying its effect on creativity. By collecting three-wave time-lagged data from a final sample of 236 full-time working adults in South Korea, our findings provide robust support for the proposed hypotheses. AI adoption was positively associated with employee creativity and creative self-efficacy. Creative self-efficacy, in turn, significantly predicted employee creativity and mediated the relationship between AI adoption and creativity. Additionally, transformational leadership moderated the relationship between AI adoption and creative self-efficacy, with stronger effects observed under high transformational leadership conditions. These results offer significant theoretical and practical contributions by integrating AI adoption with creativity and leadership research, highlighting the crucial roles of psychological mechanisms and leadership dynamics in fostering innovation.
Bibliographic Details
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know