Artificial Intelligence (AI) is revolutionizing industries globally, with profound implications for manufacturing systems and environmental sustainability. In Sub-Saharan Africa, including Ghana, the push for industrialization presents environmental challenges, making it crucial to integrate green technologies. This study investigates the adoption of AI in Ghana’s manufacturing sector, exploring its impact on green manufacturing practices and barriers to AI integration. Data was collected via an online survey with a 91.5% response rate (400 out of 455), yielding 400 valid responses. The survey revealed a predominantly male workforce (70%) aged 30 - 40 years (55%), with high education levels. Correlation analysis showed significant relationships between Corporate Green Innovation (0.723), Sustainable Manufacturing Practices (0.723), and Environmental Governance (0.547). AI technology had a moderate correlation with Environmental Governance (0.618). While Sustainable Manufacturing Practices achieved the highest mean score (4.133), Environmental Risk Factors scored the lowest (2.812), indicating challenges in addressing sustainability. The study used the PROCESS macro for mediation and moderation analysis. Findings revealed that Environmental Governance significantly influences Corporate Green Innovation (coefficient = 0.750, p < 0.05), whereas AI Technology’s direct impact was not statistically significant (coefficient = −0.011, p = 0.707). The interaction between AI and Environmental Governance was not significant (coefficient = −0.032, p = 0.503), suggesting the moderating role of governance is minimal. The study concludes that AI alone does not directly drive green innovation in Ghana’s manufacturing sector. Strong environmental governance is pivotal, offering a framework for policymakers to foster AI-driven, sustainable industrial practice.
Abbas, M., & Mahmood, H. (2025). Role of Industrial Employees’ Green Behavior in the Relationship between Industrial Sector Green Practices and Industrial Sector Sustainable Environmental Performance in Alkharj Industrial City. (Preprint) https://doi.org/10.2139/ssrn.5097955
Adediran, O. (2023). Foreign Direct Investment and Economic Growth: Evidence from Sub-Saharan African Countries. ScienceOpen. https://doi.org/10.14293/sblunisa.2023a014.oa
Ahadi, N., Zanjanab, A. G., Sorooshian, S., Monametsi, G., Virutamasen, P., Wongpreedee, K. et al. (2023). The Outlook of ChatGPT, an AI-Based Tool Adoption in Academia: Applications, Challenges, and Opportunities. In TENCON 2023 - 2023 IEEE Region 10 Con ference ( TENCON) (pp. 15-20). IEEE. https://doi.org/10.1109/tencon58879.2023.10322527
Akubia, G. K., & Andriana, D. (2024). Green Logistics Management Practices and Sustainability Performance of Manufacturing Firms in Ghana and Indonesia: The Moderating Role of Cross-Country ICT Development Status. In A. Appolloni, F. Caracciolo, Z. Ding, P. Gogas, G. Huang, G. Nartea, T. Ngo, W. Striełkowski, & S. Joshi (Eds.), Advance s in E conomics, Business and Management Research (pp. 411-417). Atlantis Press International BV. https://doi.org/10.2991/978-94-6463-443-3_54
Alpan, G., Bouzekri, H., & Sanlaville, É. (2023). Enhancing Global Supply Chain Performance by Optimizing Port Resources. In Maritime Ports, Supply Chains and Logistics Corridors (pp. 151-163). Routledge. https://doi.org/10.4324/9781003365013-15
Anthuvan, T., & Maheshwari, K. (2025). AI-C2C (Conscious to Conscience): A Governance Framework for Ethical AI Integration. AI and Ethics, 5, 4241-4253. https://doi.org/10.1007/s43681-025-00736-2
Boehe, D. M., & Becerra, M. (2022). Market Entry into New Export Markets: When Are Firms More Likely to Imitate Their Competitors’ Market Presence? International Busin ess Review, 31, Article ID: 102012. https://doi.org/10.1016/j.ibusrev.2022.102012
Brown, T., & Wyatt, J. (2010). Design Thinking for Social Innovation. Development Outr each, 12, 29-43. https://doi.org/10.1596/1020-797x_12_1_29
Chaugule, A. (2024). The Beverage Industry Is Evolving with a Focus on Functional Drinks, Eco-Friendly Packaging, and Technology-Driven Innovations to Meet Changing Consumer Demands. International Journal of Science and Research ( IJSR), 13, 1183-1184. https://doi.org/10.21275/sr241014191557
Chepkoech, M., Omoniyi, P., & Owolabi, G. (2024). Fatigue Response of Additive-Manufactured 316L Stainless Steel. Metals, 14, Article 988. https://doi.org/10.3390/met14090988
Chhabra, I., Gulati, K., Singhal, S., & Dhameja, N. (2025). Integrating Data Analytics, AI, and Machine Learning to Optimize Environmental Impact and Foster Green Innovation. In S. Trivedi, B. Balusamy, L. M. Gernal, & M. A. Al-Khasawneh (Eds.), Green Engineering for Optimizing Firm Performance (pp. 271-288). Chapman and Hall/CRC. https://doi.org/10.1201/9781003626527-14
Cox, K. S., & Holcomb, Z. C. (2021). Internal Consistency and Cronbach’s Alpha. In K. S. Cox, & Z. C. Holcomb (Eds.), Interpreting Basic Statistics (9th ed., 234-237). Routledge. https://doi.org/10.4324/9781003096764-69
Dong, B., Ma, X., Zhang, Z., Zhang, H., Chen, R., Song, Y. et al. (2020). Carbon Emissions, the Industrial Structure and Economic Growth: Evidence from Heterogeneous Industries in China. Environmental Pollution, 262, Article ID: 114322. https://doi.org/10.1016/j.envpol.2020.114322
García-Maroto, I., Muñoz-Leiva, F., Higueras-Castillo, E., & Liébana-Cabanillas, F. (2020). Characterisation of Potential Adopters of Domestic Biomass Heating. Internationa l Journal of Green Energy, 18, 219-230. https://doi.org/10.1080/15435075.2020.1854262
Green-Pedersen, C., & Princen, S. (2016). Chapter 5 Punctuated Equilibrium Theory. In Handbook of Public Policy Agenda Setting (pp. 69-86). Edward Elgar Publishing. https://doi.org/10.4337/9781784715922.00013
Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Gonzalez, E. S. (2022). Understanding the Adoption of Industry 4.0 Technologies in Improving Environmental Sustainability. Sustainable Operations and Computers, 3, 203-217. https://doi.org/10.1016/j.susoc.2022.01.008
Jiang, J. (2025). The Existence of the Poetic Eye: A Dou-Ble-Edged Sword in Classical Chinese Literature. Literature History and Philosophy, 1 , 29-37. https://doi.org/10.63313/lhp.8005
Kalchschmid, V., Erhart, V., Angerer, K., Roth, S., & Hohmann, A. (2023). Decentral Production of Green Hydrogen for Energy Systems: An Economically and Environmentally Viable Solution for Surplus Self-Generated Energy in Manufacturing Companies? Sust ainability, 15, Article 2994. https://doi.org/10.3390/su15042994
Kracker, O., & Sachs, E. (2024). Flow—SPPS Towards Greener and More Efficient Peptide Manufacturing. In Proceedings of the 37th European Peptide Symposium (p. 1029). The European Peptide Society. https://doi.org/10.17952/37eps.2024.p1029
Krishna Pasupuleti, M. (2024). AI-Driven Cybersecurity: Safeguarding Enterprise in Frastructure and Digital Assets. In AI in Cybersecurity for Enterprises: Tools for Protectin g Digital Assets and Infrastructure (pp. 262-286).
Lestari, U. P., & Purwa Setya, Y. F. (2020). Comprehensive Performance Measures, Job Satisfaction and Managerial Performance: The Effect of Trust in Superior and Organizational Commitment. In Proceedings of the 9th Annual Southeast Asian International Seminar (pp. 116-126). SCITEPRESS—Science and Technology Publications.
Maghfirah, P., & Eni, Y. (2024). The Impact of Artificial Intelligence (AI) Adoption on the Productivity of Small and Medium Enterprises (SMEs) Industries in Indonesia: High Cost, Lack of Knowledge, and Inadequate Infrastructure as Mediation Variables. International Journal of Business Management and Economic Review, 7, 128-145. https://doi.org/10.35409/ijbmer.2024.3584
Makkar, S., Devi, G. N. R., & Solanki, V. K. (2019). Applications of Machine Learning Techniques in Supply Chain Optimization. In V. Gunjan, V. Garcia Diaz, M. Cardona, V. Solanki, & K. Sunitha (Eds.), ICICCT 2019—System Reliability, Quality Control, Safety, Maintenance and Management (pp. 861-869). Springer. https://doi.org/10.1007/978-981-13-8461-5_98
McNabb, D. E. (2020). Testing Research Hypotheses. In D. E. McNabb (Ed.), Researc h Methods for Political Science (3rd ed., 160-175). Routledge. https://doi.org/10.4324/9781003103141-15
Mitchell, D. (2021). Bought In? The Contingent Effect of Stakeholder Support Upon Strategic Implementation Success in American Municipalities. Public Management Re view, 24, 773-798. https://doi.org/10.1080/14719037.2020.1862289
Moalla, M., & Miçooğulları, S. A. (2023). Interconnections between Industrialization, Economic Growth, Environmental Degradation, Resource Depletion, and Energy Demand in CEE(S) Economies: Insights from Bootstrap Panel Causality Analysis. In D. Eroğlu Sevinç, & H. Sevinç (Eds.), Ekonomi ve Finans Politikaları Üzerine Çalışmalar I I (pp. 43-44). Özgür Yayınları. https://doi.org/10.58830/ozgur.pub283.c1110
Ning, S., Jie, X., & Li, X. (2021). Institutional Pressures and Corporate Green Innovation; Empirical Evidence from Chinese Manufacturing Enterprises. Polish Journal of Envir onmental Studies, 31, 231-243. https://doi.org/10.15244/pjoes/139926
Noman, A. A., Akter, U. H., Pranto, T. H., & Haque, A. B. (2022). Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review. Annals of Emerging Technologies in Computing, 6, 13-40. https://doi.org/10.33166/aetic.2022.02.002
Oliveira, S. R. M. (2018). Exploring the Relationships between Product Innovation Radicalness and Extensiveness of Flexibility of Sustainable Manufacturing System in Most Innovative Companies from USA. In Anais do Encontro Nacional de Engenharia de Produção (pp. 28-30). ENEGEP 2018—Encontro Nacional de Engenharia de Produção. https://doi.org/10.14488/enegep2018_ti_st_265_520_35175
Onyinah, O. (2012). Ethnic Map of Ghana (Akan Group). In Pentecostal Exorcism (pp. xv-xv). BRILL.
Picaud-Bello, K., Schiele, H., Koch, V., & Francillette, M. (2024). Innovation through Sustainability: Identifying Purchaser Skills Fostering Green Innovation. Cleaner Logistics and Supply Chain, 10, Article 100136. https://doi.org/10.1016/j.clscn.2023.100136
Ram, H., Kumar, B., Aggarwal, N., & Kaur, J. (2018). Resource-Conserving Technologies for Enhancing Resource Use Efficiency and Crop Productivity. In R. Sengar, & A. Singh (Eds.), Eco-Friendly Agro-Biological Techniques for Enhancing Crop Productivity (pp. 129-145). Springer Singapore. https://doi.org/10.1007/978-981-10-6934-5_7
Sacopulos, M., & Matchar, D. (2025). Systems Thinking in Healthcare: A Conversation with Dr. David Matchar. Sound Practice.
Seth, D. K., Ratra, K. K., & Sundareswaran, A. P. (2025). AI and Generative AI-Driven Automation for Multi-Cloud and Hybrid Cloud Architectures: Enhancing Security, Performance, and Operational Efficiency. In 2025 IEEE 15th Annual Computing and Communication Workshop and Conference ( CCWC) (pp. 784-793). IEEE. https://doi.org/10.1109/ccwc62904.2025.10903928
Sharma, R. (2024). Building Robust AI Infrastructure for Enterprise Success. In AI and the Boardroom (pp. 247-258). Apress. https://doi.org/10.1007/979-8-8688-0796-1_20
Shirahase, A. (2023). If You Are Determined, You Can Achieve Anything—Take on New Challenges While Strengthening Existing Businesses. NTT Technical Review, 21, 1-5. https://doi.org/10.53829/ntr202308tp1
Shomade, S. A. (2021). Comparisons and Contrasts of Select African Nations’ Experiences. In S. A. Shomade (Ed.), Colonial Legacies and the Rule of Law in Africa (pp. 223-235). Routledge. https://doi.org/10.4324/9780429355189-8
Smit, K., Mens, J., de Gelder, C., & van Meerten, J. (2024). Digital Twin Technology in the Rail Industry: A Dutch Qualitative Case Study on Success Factors, Challenges, and Future Use Cases. In Resilience Through Digital Innovation: Enabling the Twin Transition (pp. 319-336). University of Maribor Press.
Susithra, S., & Vasantha, S. (2024). The Adoption of Green Supply Chain Practices Using Artificial Intelligence (AI) for Smart Global Value Chain. In 2024 Ninth Internationa l Conference on Science Technology Engineering and Mathematics (ICONSTEM) (pp. 1-8). IEEE. https://doi.org/10.1109/iconstem60960.2024.10568808
Tan, W., Zhuo, Y., Chen, X., Yao, Q., & Liu, J. (2022). An Artificial Intelligence and Internet of Things Platform for Healthcare and Industrial Applications. In C. Comito, A. Forestiero, & E. Zumpano (Eds.), Internet of Things (pp. 85-103). Springer International Publishing. https://doi.org/10.1007/978-3-030-91181-2_6
Wang, B., Zheng, P., Yin, Y., Shih, A., & Wang, L. (2022). Toward Human-Centric Smart Manufacturing: A Human-Cyber-Physical Systems (HCPS) Perspective. Journal of Manufacturing Systems, 63, 471-490. https://doi.org/10.1016/j.jmsy.2022.05.005
Zhang, C., & Nakatani, J. (2024). Implications of Chemical Recycling of Plastic Waste for Climate Change Impacts: A Critical Review. Sustainable Production and Consumption, 48, 301-323. https://doi.org/10.1016/j.spc.2024.05.016