Abstract
Two of the main factors that impact businesses in today’s world are Artificial Intelligence and Creativity. Workplace creativity is important for the success of any organization especially in today’s competitive environments. Artificial Intelligence -AI, is one of the most pressing issues in the 21st century with lots of literature discussing its impact on organizations and employees. However, there is little research on how AI can influence employee workplace creativity.
This paper is trying to understand the impact of AI and especially a type of AI that can be used to create new content which is Generative AI- Gen AI on employees’ workplace creativity by conducting a literature review on Generative AI and factors that influence employee workplace creativity.
A hypothesized model is presented from the findings that suggests that there are three different ways in which Gen AI can affect employees’ workplace creativity. The three ways suggested by the model include a relationship that is fully mediated by efficiency and enabling employees to have more free time to create and innovate, the second is through collaborative AI and is moderated by employee skills and the third is by using Gen AI to keep the employees engaged in a creative process and customizing their workplace (through impacting the factors like daily work experiences, workplace fun, happy music) having both, psychological safety and employee aspects as moderators in the process.
This model can be used to facilitate future research and empirical studies that can be conducted to validate the findings and answer the research question about whether Gen AI can make the workplace more human; by empowering and enabling employees to create and add more value, or less human; by moving the creative activities from humans to machines or replacing humans with machines.
Recommended Citation
George, Kyrillous I. and ElSehemy, Nada, "The Impact of Generative Artificial Intelligence on Employees’ Creativity in the Workplace: A Literature Review and Research Agenda" (2024). CONF-IRM 2024 Proceedings. 9.
https://aisel.aisnet.org/confirm2024/9