A Literature Review on the Impact of Generative Artificial Intelligence Usage on Employee Creativity
DOI:
https://doi.org/10.54097/cxdpvm51Keywords:
Generative Artificial Intelligence, Creativity, Improve the Efficiency of Employees' Work, Intelligent Assistance, Intelligent InnovationAbstract
With the continuous advancement of technologies such as machine learning, deep learning, and natural language processing, generative artificial intelligence (GAI) has ushered in unprecedented opportunities for development. Capable of generating human-like content based on user prompts, GAI has now been widely applied across various domains of employees' work and daily lives. Many employees leverage GAI to gather information, stimulate inspiration, and accomplish a variety of creative tasks, which has also sparked sustained academic interest in how the use of GAI influences employee creativity. Based on this, this paper systematically organizes and reviews the relevant research on the relationship between GAI usage and employee creativity. First, the paper clarifies the fundamental concepts and commonly used measurement methods for both GAI and employee creativity. Next, it focuses on reviewing the mechanisms through which GAI affects employee creativity, revealing that existing studies have yet to reach a consistent conclusion on this issue: some scholars emphasize the positive promoting effect of GAI on employee creativity, while others suggest that GAI usage may also exert a negative impact on creativity. Through this literature review, this paper aims to provide a systematic reference for understanding the complex relationship between GAI and employee creativity and to offer theoretical contributions to subsequent research in this field.
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[1] Alavi M, Leidner D, Mousavi R. Knowledge Management Perspective of Generative Artificial Intelligence (GenAI)[J]. Alavi, Maryam, 2024: 1-12.
[2] Amabile T M. The social psychology of creativity: a componential conceptualization[J]. Journal of personality and social psychology, 1983, 45(2): 357.
[3] Anderson N, Potočnik K, Zhou J. Innovation and creativity in organizations: A state-of-the-science review, prospective commentary, and guiding framework[J]. Journal of management, 2014, 40(5): 1297-1333.
[4] Budhwar P, Chowdhury S, Wood G, et al. Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT[J]. Human Resource Management Journal, 2023, 33(3): 606-659.
[5] Chen Tingting, Kim Tae-Yeol, Gong Yaping, et al. Competence Drives Interest or Vice Versa? Untangling the Bidirectional Relationships between Creative Self-Efficacy and Intrinsic Motivation for Creativity in Shaping Employee Creativity[J]. Journal of Management Studies, 2025, 62(2): 775-811.
[6] Eloundou T, Manning S, Mishkin P, et al. Gpts are gpts: An early look at the labor market impact potential of large language models[J]. arXiv preprint arXiv:2303.10130, 2023, 10.
[7] Ge W, Hou G. The effects of generative AI model type and visual stimuli type on design creativity[J]. AI EDAM, 2025, 39: e17.
[8] Gordijn B, Have H. ChatGPT: evolution or revolution?[J]. Medicine, health care and philosophy, 2023, 26(1): 1-2.
[9] İşgüzar S, Fendoglu E, Şimşek A İ. Innovative applications in businesses: An evaluation on generative artificial intelligence[J]. Amfiteatru Economic, 2024, 26(66): 511-530.
[10] Jia N, Luo X, Fang Z, et al. When and how artificial intelligence augments employee creativity[J]. Academy of Management Journal, 2024, 67(1): 5-32.
[11] Kanbach D K, Heiduk L, Blueher G, et al. The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective[J]. Review of Managerial Science, 2024, 18(4): 1189-1220.
[12] Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks[J]. Advances in neural information processing systems, 2012, 25.
[13] Ma L, Zhang X, Ding X. Enterprise social media usage and knowledge hiding: a motivation theory perspective[J]. Journal of Knowledge Management, 2020, 24(9): 2149-2169.
[14] Madjar N, Greenberg E, Chen Z. Factors for radical creativity, incremental creativity, and routine, noncreative performance[J]. Journal of applied psychology, 2011, 96(4): 730.
[15] Marimon F, Mas-Machuca M, Akhmedova A. Trusting in generative AI: Catalyst for employee performance and engagement in the workplace[J]. International Journal of Human–Computer Interaction, 2025, 41(11): 7076-7091.
[16] Medcof J W. The job characteristics of computing and non‐computing work activities[J]. Journal of Occupational and Organizational Psychology, 1996, 69(2): 199-212.
[17] Mingjie G, Jun M, Huirong T. The double-edged sword effect of generative artificial intelligence usage on employee creativity: a perspective of conservation of resources theory[J]. Current Psychology, 2025, 44(10): 8485-8497.
[18] Niloy A C, Akter S, Sultana N, et al. Is Chatgpt a menace for creative writing ability? An experiment[J]. Journal of computer assisted learning, 2024, 40(2): 919-930.
[19] Obreja D M, Rughiniș R, Rosner D. Mapping the conceptual structure of innovation in artificial intelligence research: A bibliometric analysis and systematic literature review[J]. Journal of Innovation & Knowledge, 2024, 9(1): 100465.
[20] Qi Z, Zhang X, Ma L, et al. Generative artificial intelligence use and employees' digital performance[J]. Management Decision, 2025.
[21] Rožman M, Oreški D, Tominc P. Artificial-intelligence-supported reduction of employees’ workload to increase the company’s performance in today’s VUCA Environment[J]. Sustainability, 2023, 15(6): 5019.
[22] Shalley C E, Gilson L L. What leaders need to know: A review of social and contextual factors that can foster or hinder creativity[J]. The leadership quarterly, 2004, 15(1): 33-53.
[23] Shalley C E, Zhou J, Oldham G R. The effects of personal and contextual characteristics on creativity: Where should we go from here? [J]. Journal of management, 2004, 30(6): 933-958.
[24] Shao J, Ahmad H, Kamal M M, et al. Unveiling the potential: exploring the adoption of GenAI and its impact on organizational outcomes[J]. Journal of Managerial Psychology, 2025.
[25] Sternberg R J. Do Not Worry That Generative AI May Compromise Human Creativity or Intelligence in the Future: It Already Has[J]. Journal of Intelligence, 2024, 12(7): 69.
[26] Sun S, Li Z A, Foo M D, et al. How and for whom using generative AI affects creativity: A field experiment[J]. Journal of Applied Psychology, 2025.
[27] Tang, P.M., Koopman, J., McClean, S.T., Zhang, J.H., Li, C.H., De Cremer, D., Ng, C.T.S.,2022. When conscientious employees meet intelligent machines: An integrative approach inspired by complementarity theory and role theory. Acad. Manag. J. 65, 1019–1054.
[28] Tierney P, Farmer S M, Graen G B. An examination of leadership and employee creativity: The relevance of traits and relationships[J]. Personnel psychology, 1999, 52(3): 591-620.
[29] Wang R, Zhang Z, Zhao W, et al. Exploring the relationship between generative AI usage and employee creativity: a dual-pathway mediation model[J]. European Journal of Innovation Management, 2025: 1-25.
[30] Yongjun L, Xinyue L, Lizheng W. Generating creativity through ChatGPT: an empirical investigation in open innovation platforms[J]. Information Technology and Management, 2025: 1-16.
[31] Zhang Xin, Yu Peng, Ma Liang, et al. How the Human-Like Characteristics of AI Assistants Affect Employee Creativity: A Social Network Ties Perspective[J]. International Journal of Human-Computer Interaction, 2024, 41(10): 6431-6449.
[32] Zhou J, George J M. Awakening employee creativity: The role of leader emotional intelligence[J]. The leadership quarterly, 2003, 14(4-5): 545-568.
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