The Double-Edge Sword Impact of Artificial Intelligence Support on Employee Innovation Behavior

Tomi Sah (), Dinar Purwati, Reniati and Devi Valeriani
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Tomi Sah: Universitas Bangka Belitung
Dinar Purwati: Universitas Bangka Belitung
Reniati: Universitas Bangka Belitung
Devi Valeriani: Universitas Bangka Belitung

A chapter in Proceedings of the 1st International Conference of Economics, Management, Accounting, and Business Digital (ICEMAB 2024), 2024, pp 133-140 from Springer

Abstract: Abstract As artificial intelligence (AI) increasingly replaces human roles in the workplace, the importance of creative tasks for humans is growing. While AI can enhance employee innovation behavior, some studies indicate it may also negatively impact employees’ psychological well-being. This research investigates the dual influence of AI support on employee innovation behavior, with creative self-efficacy and STARA (Smart Technology, AI, Robotics, and Algorithm) awareness serving as mediating variables. Employing a quantitative methodology, data were gathered through a survey targeting civil servants at the National Population and Family Planning Board of the Bangka Belitung Islands Province. Structural Equation Modeling (SEM) was conducted using Smart PLS 3 software to assess the relationships between variables. The findings reveal that AI support significantly enhances creative self-efficacy, positively influencing employee innovation behavior. While AI support negatively affects STARA awareness, STARA awareness does not significantly impact innovation behavior. The mediation analysis confirms that creative self-efficacy mediates the relationship between AI support and innovation, while STARA awareness does not. This study advances the understanding of AI’s role in shaping employee behavior while emphasizing the importance of fostering creative self-efficacy to enhance innovation and address concerns related to technological disruption.

Keywords: Innovation Behavior; AI Support; STARA Awareness; Creative Self-Efficacy (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-614-7_18

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