Artificial Intelligence and Employee Innovation in Public Universities in Kenya
Abstract
Artificial Intelligence (AI) is transforming workplace dynamics by enhancing employee innovation, decision-making, and problem-solving. As industries increasingly integrate AI-driven technologies, the interplay between automation and human creativity becomes critical for sustainable development, and this includes higher education. This study examined the influence of AI on employee innovation in public universities in Kenya. Specifically, the study focused on assessing the influence of ethical concerns, workforce adoption and job displacement on employee innovation in Public Universities in Kenya. This study adopted the descriptive survey research design. The study unit of analysis was the 36 public universities in Kenya, with a population of 35,502 employees. Simple random sampling was utilised in the first step to ensure that each member had the same chance of being selected. From the sampling technique, a total of 20 public universities were obtained. From these 20 universities, the Slovin’s formula helped to obtain the sample size of 384 respondents. The study utilised primary data from the sampled public universities in Kenya. Descriptive statistics such as mean and standard deviation were used to analyze and present data to facilitate interpretation. Inferential statistics entailed the use of multiple regression analysis to determine the relationships between the variables. The result was presented in the form of tables. The study concludes that ethical concerns have a positive and significant effect on employee innovation in Public Universities in Kenya. In addition, the study concludes that workforce adoption has a positive and significant effect on employee innovation in Public Universities in Kenya. Further, the study concludes that job displacement has a positive and significant effect on employee innovation in Public Universities in Kenya. Based on the findings, the study recommends that the management of Public Universities in Kenya should promote transparency and fairness in decision-making processes. When employees perceive that promotions, funding allocations, research opportunities, and performance evaluations are conducted transparently and based on merit, they are more likely to feel valued and motivated.
Keywords: Artificial Intelligence, Employee Innovation, Ethical Concerns, Workforce Adoption, Job Displacement
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Acemoglu, D., & Restrepo, P. (2020). Robots and jobs: Evidence from US labor markets. Journal of Political Economy, 128(6), 2188–2244.
Agoi, L. F. (2017). Influence of human resource management practices on employee satisfaction in public sugar manufacturing firms in Kenya (Doctoral dissertation, COHRED, JKUAT).
Ai, H. (2019). High-level expert group on artificial intelligence. Ethics guidelines for trustworthy AI, 6(15.3), 2024. https://ec.europa.eu/digital-single- market/en/news/ethics-guidelines-trustworthy-AI
Ali, M., & Ibrahim, H. (2022). Artificial Intelligence in Egyptian Higher Education: Enhancing Research and Educational Quality. Middle East Journal of Educational Research, 13(4), 105-120
ALmasri, O., & Ahmad, A. (2020). Entrepreneurial behaviors and innovative performance: The moderating role of employees’ characteristics in commercial banks. Accounting, 6(6), 1007-1020.
Armstrong, M. (2016). Armstrong’s handbook of strategic human resource management (6th ed., p. 7). London, UK: Kogan Page.
Arntz, M., Gregory, T., & Zierahn, U. (2016). The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis (OECD Social, Employment and Migration Working Papers, No. 189). OECD Publishing. https://doi.org/10.1787/5jlz9h56dvq7-en
Awuor N.J., Wekesa, S, & Nyikuli, E., (2023). Effect of Innovative Technology Change on Employee Commitment At Public Universities in Kenya. A Case Study f Kisii University. International Journal of Social Sciences and Information Technology, 9(9), 108-118.
Bakhshi, H., Downing, J. M., Osborne, M. A., & Schneider, P. (2017). The future of skills: Employment in 2030. Pearson and Nesta. https://futureskills.pearson.com
Baxter, G., & Sommerville, I. (2011). Socio-technical systems: From design methods to systems engineering. Interacting with computers, 23(1), 4-17.
Brigue, A. U., & Orlu, V. N. (2023). Ethical considerations of leaders and integrity in public universities. International Journal of Institutional Leadership, Policy and Management, 5(2), 245-261.
Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can’t (yet). McKinsey & Company. https://www.mckinsey.com
Cincio?lu, A., (2015). Organizational Culture In Accepting And Adapting To Innovations: Perceptions Of English Language Lecturers At Preparatory Units At Universities. Hayef Journal Of Education.
Dai, M. (2024). Frontiers of intelligent education: Artificial intelligence reshaping the new landscape of Chinese higher education. Journal of Advanced Research in Education, 3(2), 37–43. https://doi.org/10.56397/jare.2024.03.05
Dilbar, K. (2024). The principles of deontological ethics. Web of Teachers: Inderscience Research, 2(5), 56-59.
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Flemig, S., Osborne, S.P. & Kinder, T. (2016). Risky business – reconceptualising risk and innovation in public services. Public Money & Management, 36(6), 425–432.
Franzen, C. (2024, January 19). AI comes to higher education as OpenAI partners with Arizona State University. VentureBeat. https://venturebeat.com/ai/ai-comes-to-higher-education- as-openai-partners-with-arizona-state-university/?utm_source=substack&utm_medium=email
Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019
Gabriel, P. D. I. (2024). Blind Selection and Organizational Performance of Oil and Gas Servicing Companies in South-South, Nigeria. Responsible Consumption, Production and Accounting in Emerging Economies, 1371.
Gauthier, J., Cohen, D., & Meyer, C. R. (2021). Entrepreneurial orientation, externalities and social entrepreneurship. Society and Business Review, 16(3), 476-489.
George, T. (2021). An introduction to mixed methods research. Scribbr. https://www.scribbr.com/methodology/mixed-methods-research. (Date accessed 8/04/2025).
Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International journal of innovation studies, 4(4), 134-147.
Gupta, M., & Acharya, A. (2018). Mediating role of innovativeness between risk taking and performance in Indian universities: Impact of this nexus on brand image. South Asian Journal of Business Studies, 7(1), 22-40.https://doi.org/10.1108/SAJBS-09-2016-0080
Gwagwa, A., Kachidza, P., Siminyu, K., & Smith, M. (2021). Responsible artificial intelligence in Sub-Saharan Africa: landscape and general state of play. DOI:10.13140/RG.2.2.23617.89442
Hutson, J., Jeevanjee, T., Vander Graaf, V., Lively, J., Weber, J., Weir, G., ... & Edele, S. (2022). Artificial intelligence and the disruption of higher education: Strategies for integrations across disciplines. Creative Education, 13(12).
Ikileng, S. J. (2015). Determinants of adoption of e-learning in Kenyan public universities: a case of Jomo Kenyatta University of agriculture and technology. Strategic journal of business & change management, 2(2).
Javaid, B & Pearl, J (2024). Ethical Challenges of Artificial Intelligence Implementation in Human Resources: Implications for Job Performance Evaluation. ResearchGate.
Kelechi, J., & Vera, R. (2020). Artificial Intelligence in Research: A Case Study of Kenyan Universities. African Journal of Educational Research and Development, 6(3), 38-52.
Khan, M., Raya, R. P., Viswanatha, R., (2021). Enhancing employee innovativeness and job performance through a culture of workplace innovation. Emerald Insight at:https://www.emerald.com/insight/1741-0401.htm
Kigozi, J., & Namuleme, P. (2022). Artificial Intelligence in Ugandan Higher Education: Transforming Learning and Research. Uganda Journal of Education and Technology, 5(2), 63-78.
Kiiru, D. K., Mukulu, E., & Ngatia, P. (2023). Innovativeness and Performance: Evidence from Kenyan SMEs. European Journal of Business and Management Research, 8(2), 113-119.
Kiptoo, I., Kimutai, G., Motari, Y., & Onyango, R. (2024). Effect of job design on employee innovative work behaviour in public universities in Uasin Gishu County, Kenya. The strategic Journal of Business & Change Management, 11 (3), 658 – 671. Http://dx.doi.Org/10.61426/Sjbcm.v11i3.3049
Kiriri, P. (2025). Influence of Self-Management on Organizational Performance of Universities in Kenya: A Literature Review Synthesis. The University Journal, 7(1), 95-108.
Klofsten, M., Urbano, D., & Heaton, S. (2021). Managing intrapreneurial capabilities: An overview. Technovation, 99, 102177 Klofsten, M., Fayolle, A., Guerrero, M., Mian, S., Urbano, D., & Wright, M. (2019). The entrepreneurial university as driver for economic growth and social Change-Key strategic challenges. Technological Forecasting and Mbooni Change, 141, 149-158
Kohnke, L., Moorhouse, B., & Zou, D. (2023). Exploring generative artificial intelligence preparedness among university instructors. Computers & Education: Artificial Intelligence, 5, 100156.
Koskimies, E., Stenvall, J., Kinder, T., Leikas, J., & Nieminen, M. (2022). Artificial intelligence and public innovations. In Public innovation and digital transformation (pp. 68-91). Routledge.
Leslie, D. (2020). Tackling COVID-19 through responsible AI innovation: Five steps in the right direction. Harvard Data Science Review, 10, 1-78. https://hdsr.mitpress. mit.edu/pub/as1p81um/release/3
Lucariello, K. (2023, August 16). WCET survey finds slow AI adoption at colleges and universities. Campus Technology. https://campustechnology.com/articles/2023/08/16/wcet-survey-finds-slow-ai-adoption-at-colleges-and-universities.aspx
Makina A. and Madiope M. (2016). Staff development challenges in the adoption of e-teaching and learning in higher education. African Educational Research Journal Vol. 4(4), 140-151,
Mamun, A. Al, & Fazal, S. A. (2018). Effect of entrepreneurial orientation on competency and micro-enterprise performance, 12(3), 379–398. https://doi.org/10.1108/APJIE-05-2018-0033
McKinsey Global Institute. (2017). Jobs lost, jobs gained: Workforce transitions in a time of automation. https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-work-will-mean-for-jobs-skills-and-wages
Moeini, T., (2024). Ethical Foundations of Universities: Pioneering Job Creation and Entrepreneurship through Knowledge Commercialization. Dall-E3
Mou, X. (2019). Artificial intelligence: Investment trends and selected industry uses. International Finance Corporation, 8(2), 311-320.
Muindi, P., & Aslam, Z,. (2024).The Ethical Impact of Intelligent Tutoring Systems in Kenya’s Education System. Centre for CIPIT
Mulugeta, A., Bekele, G., & Woldemariam, A. (2021). The Role of Artificial Intelligence in Enhancing Educational Quality in Ethiopian Universities. Ethiopian Journal of Educational Sciences, 13(1), 22-38.
Mutisya, D. N., & Makokha, G. L. (2016). Challenges affecting adoption of e-learning in public universities in Kenya. E-learning and Digital Media, 13(3-4), 140-157.
Mzumbe, M, K,. & Kuzilwa, J., (2023).Adoption of Electronic Resources Among Academic Staff in Public Universities in Tanzania: An Examination of Influencing Factors. Tanzania Journal of Development Studies, 20(2)
Ng'wanakilala, D., & Chuma, R. (2019). The Impact of Artificial Intelligence on Educational Quality in Tanzanian Universities. Tanzania Journal of Higher Learning, 8(2), 71-85.
Ngwane, T., & Mahlangu, B. (2020). Impact of AI on Research and Educational Quality in South Africa. Journal of African Higher Education Research, 12(1), 33-49
Nilsson, N. J. (2014). Principles of artificial intelligence. Morgan Kaufmann.
Odhiambo, G. (2018). The role of Kenyan universities in national development. In FIRE: Forum for International Research in Education (Vol. 4, No. 3).
OECD. (2019). OECD Employment Outlook 2019: The Future of Work. Organisation for Economic Co-operation and Development. https://www.oecd.org/employment/Employment-Outlook-2019-Highlight-EN.pdf
Ololube, N.P. (2019). Artificial Intelligence and Research: The Changing Landscape in Nigerian Higher Education. African Journal of Educational Studies in Mathematics and Sciences, 15(2), 50-65
Otieno, L., & Mwangi, M. (2022). The Influence of AI on Teaching and Learning in Kenyan Higher Education Institutions. Kenya Journal of Education and Innovation, 7(1), 22-35
Phillips, K., (2025). Artificial Intelligence: Diffusion of Innovation and Generational Considerations. ResearchGate.
Qian, Y., Gao, J., & Ng, M. (2021). AI-driven education: Instructors’ role and preparedness in China. Journal of Artificial Intelligence in Education, 8(3), 65-82.
Rai, A., Constantinides, P., & Sarker, S. (2021). Next-generation digital platforms: Toward human–AI hybrids. MIS Quarterly, 45(1), 291–300.
https://doi.org/10.25300/MISQ/2021/15818
Russell, S., & Norvig, P., ( 2018). Artificial Intelligence: a Modern Approach (global edition), Pearson Education Limited, Harlow, United Kingdom.
Shikokoti, D. H., & Reuben, M. (2024). Influence of artificial intelligence on the quality of education in higher learning: a case study of Faculty of Education, University of Nairobi, Kenya. Journal of Education and Practice, 15(11).
Subiyakto, B., Widyanti, R., Basuki, , & Syaharuddin, . (2020). Revitalizing public university innovativeness through learning organization. Polish Journal of Management Studies, 21(1), 369-381.
Teresa M. Amabile, T. M., (2013). Componential theory of creativity (pp. 538-559). Boston, MA: Harvard Business School.
UNESCO. (2022). AI and the future of teaching: Global perspectives on instructor readiness. Retrieved from unesdoc.unesco.org
Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J. (2023). Exploring the potential impact of artificial intelligence (AI) on international students in higher education: generative AI, chatbots, analytics, and international student success. Applied Sciences, 13(11), Article 6716. https://doi.org/10.3390/app13116716
Watson, H.J. (2014). Tutorial: Big Data Analytics: Concepts, Technologies, and Applications. Communications of the Association for Information Systems 34(65). http:// aisel.aisnet.org/cais/vol34/iss1/65
Waweru, G., & Mutisya, D. (2020). Artificial Intelligence in Kenyan Universities: Implications for Quality Education. Kenya Journal of Educational Technology, 4(2), 45-60.
World Economic Forum. (2020). The Future of Jobs Report 2020. https://www.weforum.org/reports/the-future-of-jobs-report-2020
Wu, L. (2025). Employee innovation behavior, technology adoption, and process innovation among public universities: Basis for digitalization construction framework. International Journal of Research Studies in Management, 13(1), 59-72. https://doi.org/10.5861/ijrsm.2025.25006
Zhang, Y., & Aslan, E. (2021). Impact of AI readiness on teaching quality in higher education. Journal of Educational Technology Development and Exchange, 14(2), 120-138.
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