AccScience Publishing / IJOSI / Online First / DOI: 10.6977/IJoSI.202607_10(4).026240149
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AI-powered brainstorming tools and creative idea generation among university students: The role of creative self-efficacy and artificial intelligence literacy

Ahmad Adeel1* ,  Samreen Batool2 ,  Sajid Mohy ul din3 ,  Zain ul abdeen Madni4 ,  Ahmad Aziz Sheikh5
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1 Faculty of Business and Communications, INTI International University, Nilai, Negeri Sembilan , Malaysia
2 School of Management, Universiti Sains Malaysia, Minden, Penang , Malaysia
3 Department of Management and Economics, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak , Malaysia
4 Department of Business Administration, University of Layyah, Layyah, Punjab , Pakistan
5 Department of Business Education, The University of Chenab, Gujrat, Punjab , Pakistan
Received: 12 June 2026 | Revised: 17 July 2026 | Accepted: 22 July 2026 | Published online: 21 October 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

AI-powered brainstorming tools are increasingly used in higher education, yet limited evidence explains how they shape students’ creative idea generation or how individual capabilities, particularly AI literacy, influence these effects. The purpose of this research is to examine how artificial intelligence (AI)-powered brainstorming tools influence creative idea generation among undergraduate business students in Malaysia. Building on Social Cognitive Theory, we proposed a moderated mediation model in which AI-powered brainstorming tools enhance creative idea generation directly and indirectly through creative self-efficacy; however, AI literacy strengthens these relationships. Data for this research were collected from 293 undergraduate business students of a private university in Malaysia through a classroom-administered survey and analyzed using Mplus. Results show that AI-powered brainstorming tools were positively related to creative idea generation and creative self-efficacy. Creative self-efficacy positively affected creative idea generation and also partially mediated the relationship between AI-powered brainstorming tools and creative idea generation. AI literacy moderated the effect of AI-powered brainstorming tools on both creative self-efficacy and creative idea generation. Research contributions, limitations, and future research directions are also discussed.

Keywords
Artificial intelligence-powered brainstorming tools
Creative idea generation
Creative self-efficacy
Artificial intelligence literacy
Education
Process innovation
Funding
No external funding was received for this research; the study was conducted without financial support from any funding agency or organization.
Conflict of interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
References

Adeel, A., & Batool, S. (2025). Too close for creativity? How employee risk-taking shapes the LMX–creativity relationship in Asian businesses. International Journal of Organization Theory & Behavior, 1-16. https://doi.org/10.1108/IJOTB-10-2024-0199

 

Adeel, A., Batool, S., Kee, D. M. H., & Madni, Z.-u.-A. (2023). Why cognitive absorption is not enough: the role of knowledge absorption capacity and technological opportunity for individual learning. Asian Academy of Management Journal, 28(2), 239-274. https://doi.org/10.21315/aamj2023.28.2.9

 

Adeel, A., Mohy-ud-din, S., Ahmed, K., & Dhay, K. (2026). Emotional Culture, Communication Climate, and Creative Idea Withholding: A Curvilinear Perspective. Journal of Intercultural Communication, 26(2), 39-51. https://doi.org/10.36923/jicc.v26i2.1441

 

Ahmad, I., Thurasamy, R., Adeel, A., & Alam, B. (2023). Promotive voice, leader-member exchange, and creativity endorsement: the role of supervisor-attributed motives. Journal of Intercultural Communication, 23(3), 1-13. https://doi.org/10.36923/jicc.v23i3.121

 

Amabile, T. M., Conti, R., Coon, H., Lazenby, J., & Herron, M. (1996). Assessing the work environment for creativity. Academy of Management Journal, 39(5), 1154-1184. https://doi.org/10.2307/256995

 

Amoozegar, A., Elsiddig, B. M. H., Falahat, M., Ikram, M., Ismaeil, A. A. R. M., & Krishnasamy, H. N. (2025). An examination of the role of big five personality traits on employee creativity in Sudanese public universities: a gender-based approach. Frontiers in Psychology, 16, 1556637. https://doi.org/10.3389/fpsyg.2025.1556637

 

Anderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives: complete edition. London, UK: Addison Wesley Longman, Inc.

 

Baltà‐Salvador, R., El‐Madafri, I., Brasó‐Vives, E., & Peña, M. (2025). Empowering engineering students through artificial intelligence (AI): blended human–AI creative ideation processes with ChatGPT. Computer Applications in Engineering Education, 33(1), e22817. https://doi.org/10.1002/cae.22817

 

Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ, 1986(23-28), 2.

 

Bandura, A., & Wessels, S. (1997). Self-efficacy (Vol. 10). Cambridge, United Kingdom: Cambridge University Press.

 

Bilton, C. (2015). Uncreativity: The shadow side of creativity. International Journal of Cultural Policy, 21(2), 153-167. https://doi.org/10.1080/10286632.2014.892933

 

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510

 

Chen, T., Kim, T. Y., Gong, Y., & Liang, Y. (2025). Competence drives interest or vice versa? Untangling the bidirectional relationships between creative self‐efficacy and intrinsic motivation for creativity in shaping employee creativity. Journal of Management Studies, 62(2), 775-811. https://doi.org/10.1111/joms.13072

 

Doshi, A. R., & Hauser, O. P. (2024). Generative AI enhances individual creativity but reduces the collective diversity of novel content. Science advances, 10(28), eadn5290. https://doi.org/10.1126/sciadv.adn5290

 

Geroimenko, V. (2025). Enhancing AI’s Cognitive Abilities: Optimising AI’s Reasoning, Creativity, and Knowledge Application. In Beyond and After Prompt Engineering: The Future of AI Communication Cham, Seitzerland: Springer. (pp. 259-288). https://doi.org/10.1007/978-3-032-04569-0_13

 

He, W. J., & Wong, W. C. (2021). Gender differences in creative self-efficacy: Findings of mean and variability analyses. Thinking Skills and Creativity, 42, 100955. https://doi.org/10.1016/j.tsc.2021.100955

 

He, W. J., & Zhang, K. (2025). From Perceived School Climate to Creativity Performance: The Serial Multiple Mediation of Creative Self‐Efficacy and Creativity Motivation. The Journal of Creative Behavior, 59(3), e70045. https://doi.org/10.1002/jocb.70045

 

Hinkin, T. R. (1998). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(1), 104-121. https://doi.org/10.1177/109442819800100106

 

Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022). Artificial intelligence literacy in higher and adult education: A scoping literature review. Computers and Education: Artificial Intelligence, 3, 100101. https://doi.org/10.1016/j.caeai.2022.100101

 

Lee, E. H., Yin, Y., Jia, N., & Wakslak, C. J. (2026). Relying on AI at work reduces self-efficacy, ownership, and meaning while active collaboration mitigates the effects. Scientific Reports, 16, 13583. https://doi.org/10.1038/s41598-026-42312-6

 

Leung, R., & Lo, I. S. (2024). Can ChatGPT Inspire Me? Evaluate Students’ Questioning Techniques on AI Tool for Overcoming Fixation. In: Berezina, K., Nixon, L., Tuomi, A. (eds) Information and Communication Technologies in Tourism 2024. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-031-58839-6_9

 

Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In: Proceedings of the 2020 CHI conference on human factors in computing systems. New York, NY: ACM Digital Library. https://doi.org/10.1145/3313831.3376727

 

MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS quarterly, 35(2), 293-A5. https://doi.org/10.2307/23044045

 

Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041

 

Osborn, A. (1953). Applied Imagination: Principles and Procedures of Creative Thinking. New York, NY: Charles Scribner Sons; 1956.

 

Paulus, P. B., & Brown, V. R. (2003). Enhancing ideational creativity in groups. Group creativity: Innovation through collaboration, 110-136. https://doi.org/10.1093/acprof:oso/9780195147308.003.0006

 

Paulus, P. B., & Kenworthy, J. B. (2019). 17 Effective Brainstorming. The Oxford handbook of group creativity and innovation, 286-305. https://doi.org/10.1093/oxfordhb/9780190648077.013.17

 

Pinar, F. I. L., Panergayo, A. A. E., Sagcal, R. R., Acut, D. P., Roleda, L. S., & Prudente, M. S. (2025). Fostering scientific creativity in science education through scientific problem-solving approaches and STEM contexts: a meta-analysis. Disciplinary and Interdisciplinary Science Education Research, 7(1), 18. https://doi.org/10.1186/s43031-025-00137-9

 

Richardson, C., & Mishra, P. (2018). Learning environments that support student creativity: Developing the SCALE. Thinking Skills and Creativity, 27, 45-54. https://doi.org/10.1016/j.tsc.2017.11.004

 

Rowland, N. J., & Grüning, D. J. (2025). AI-assisted brainstorming for scenario thinking. Futures, 172, 103644. https://doi.org/10.1016/j.futures.2025.103644

 

Runco, M. A., & Jaeger, G. J. (2012). The standard definition of creativity. Creativity Research Journal, 24(1), 92-96. https://doi.org/10.1080/10400419.2012.650092

 

Shao, Y., Liu, Q., Dong, Y., & Liu, J. (2024). Perceived formative assessment practices in homework and creativity competence: The mediating effects of self-confidence in learning and intrinsic motivation. Studies in Educational Evaluation, 83, 101376. https://doi.org/10.1016/j.stueduc.2024.101376

 

Singh, P., & Huang, L. (2025). AI meets brainstorming: Enhancing creativity and collaboration in marketing education. Marketing Education Review, 35(4), 271-279. https://doi.org/10.1080/10528008.2025.2501790

 

Šliogerienė, J., Darginavičienė, I., Suchanova, J., Gulbinskienė, D., & Jakučionytė, V. (2025). Problem-based learning in developing students’ communicative skills and creativity in teaching English for specific purposes. Creativity Studies, 18(1), 30-42. https://doi.org/10.3846/cs.2025.22343

 

Song, G., Nabi, M. N., Gazi, M. A. I., Amin, M. B., Senathirajah, A. R. B. S., Rahaman, M. A., & Min, Z. (2025). Participative leadership effects on followers’ radical creativity: the role of psychological safety and collaborative relationship. BMC psychology, 13(1), 604. https://doi.org/10.1186/s40359-025-02950-3

 

Stöhr, C., Ou, A. W., & Malmström, H. (2024). Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study. Computers and Education: Artificial Intelligence, 7, 100259. https://doi.org/10.1016/j.caeai.2024.100259

 

Tang, C., Mao, S., Naumann, S. E., & Xing, Z. (2022). Improving student creativity through digital technology products: A literature review. Thinking Skills and Creativity, 44, 101032. https://doi.org/10.1016/j.tsc.2022.101032

 

Tierney, P., & Farmer, S. M. (2002). Creative self-efficacy: Its potential antecedents and relationship to creative performance. Academy of Management Journal, 45(6), 1137-1148. https://doi.org/10.2307/3069429

 

Tierney, P., & Farmer, S. M. (2011). Creative self-efficacy development and creative performance over time. Journal of Applied Psychology, 96(2), 277. https://doi.org/10.1037/a0020952

 

Wang, B., Liu, H., An, P., Li, Q., Li, K., Chen, L., Zhang, Q., Zhang, J., Zhang, X., & Gu, S. (2019). Artificial intelligence and education. In: Reconstructing our orders: Artificial intelligence and human society. Cham, Switzerland: Springer. (pp. 129-161). https://doi.org/10.1007/978-981-13-2209-9_5

 

Wang, B., Rau, P.-L. P., & Yuan, T. (2023). Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale. Behaviour & Information Technology, 42(9), 1324-1337. https://doi.org/10.1080/0144929X.2022.2072768

 

Zhou, J., & George, J. M. (2001). When job dissatisfaction leads to creativity: Encouraging the expression of voice. Academy of Management Journal, 44(4), 682-696. https://doi.org/10.2307/3069410

 

Zhu, F., & Zou, W. (2026). Generative AI adoption in human creative tasks: Experimental evidence. Journal of Economic Behavior & Organization, 242, 107414. https://doi.org/10.1016/j.jebo.2026.107414

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International Journal of Systematic Innovation, Electronic ISSN: 2077-8767 Print ISSN: 2077-7973, Published by AccScience Publishing