MJAMR

Adoption Of Artificial Intelligence And Internet Of Things For Sustainable Profitability In Nigeria’s Automobile Sector

Stephen Bamidele Ogodo, Olalekan Asikhia, Abimbola Eunice Adegbola


Abstract

A recent study in Nigeria's automobile sector, particularly in the Southwest region, has highlighted the growing importance of adopting eco-friendly practices and innovative technologies to drive sustainability and profitability. The research focused on the impact of Industrial Digitalization 4.0 technologies, specifically Artificial Intelligence and IoT, on the organizational performance of 29 selected automobile firms in Lagos, Ogun, and Oyo states. Employing a mixed-methods research design, the study utilized structured questionnaires to collect data from key decision-makers and managers. A total of 224 questionnaires were administered, with 224 valid responses analyzed using descriptive statistics and multiple regression models to test the hypothesized relationships. The study's findings revealed that both Artificial Intelligence and IoT have statistically significant positive effects on sustainable profitability. These technologies were found to enhance operational efficiency, reduce waste, improve environmental monitoring, and inform decision-making processes. The study concludes that embracing Industrial Digitalization 4.0 technologies is crucial for achieving both environmental sustainability and improved organizational performance in Nigeria's automobile sector. Based on these findings, the study recommends that automobile firms in Nigeria invest in emerging technologies such as AI-driven optimization tools and IoT-based monitoring systems. Additionally, the study emphasizes the need for government support in the form of infrastructure development, regulatory frameworks, and fiscal incentives to accelerate technological adoption and enhance the industry's global competitiveness. Overall, this research contributes to our understanding of the role of digital transformation in driving sustainability and profitability in developing economies and provides practical insights for businesses and policymakers seeking to promote eco-friendly practices and innovation in Nigeria's automobile sector.

Keywords

Artificial Intelligence (AI) IoT-Enabled Sustainable Profitability Environmental Sustainability Automobile Industry (Nigeria)
Metropolitan Journal of Academic Multidisciplinary Research

Cite This Article

Stephen Bamidele Ogodo, Olalekan Asikhia & Abimbola Eunice Adegbola (2026). Adoption Of Artificial Intelligence And Internet Of Things For Sustainable Profitability In Nigeria’s Automobile Sector. Metropolitan Journal of Academic Multidisciplinary Research, 5(2). https://journals.miu.ac.ug/pages/article.php?article_id=286

More in This Issue

View full issue →
56
Relationship Between Search Engine Optimization (SEO) Practices And Organizational Performance Of Tourism Businesses In In Central Division, Kampala District.
Kamugira Apophia1 , Dr Friday Christopher (PhD)2
Search Engine Optimization SEO practices organizational performance tourism businesses
57
Relationship Between Search Engine Optimization (SEO) Practices And Organizational Performance Of Tourism Businesses In In Central Division, Kampala District.
Kamugira Apophia, Dr Friday Christopher (PhD)
Search Engine Optimization SEO practices organizational performance tourism businesses
58
Relationship Between Sexual Harassment And Academic Performance Of Girls In Secondary Schools In Namayumba Town Council.
Mwanje Francis1 , Kiwanuka Rashid2
sexual harassment academic performance female students secondary schools
59
Relationship Between Social Media Marketing And Organizational Performance Of Tourism Businesses In Central Division, Kampala District.
Kamugira Apophia1 , Dr Friday Christopher (PhD)2
Social media marketing organizational performance tourism businesses customer engagement
60
Relationship Between Stock Control And Management Of Costs At Mukwano Group Of Companies.
Nakalyango Hildah1 , Babirye Shamirah2
Stock Control Cost Management Inventory Management Mukwano Group