As organizations navigate an increasingly digital economy, Artificial Intelligence (AI) has become a strategic resource shaping how firms make decisions, run operations, and stay competitive. Yet there is still limited empirical evidence on how AI-driven decision making translates into tangible business growth and competitive advantage within public sector organizations in developing economies. This study examines how AI-driven decision-making affects business growth and competitiveness among selected public enterprises in South-East Nigeria. Using a cross-sectional survey design, the study drew from a population of 1,536 management and senior technical staff across state water corporations, internal revenue services, transport corporations, and electricity distribution agencies in the five South-East states. The Taro Yamane formula yielded a sample size of 317 respondents; 301 valid responses were retrieved (94.9% response rate). The study is anchored on the Resource-Based View and Dynamic Capabilities Theory. Data were analyzed using descriptive statistics and Structural Equation Modeling (SEM). Results indicate that AI-driven decision making significantly enhances organizational competitiveness, which in turn improves operational efficiency and innovation capability, thereby driving business growth. The study concludes that AI adoption plays a critical role in driving sustainable performance within public enterprises and recommends that stakeholders invest in AI infrastructure, digital skills, sound data governance, and ethical AI frameworks. The study extends the Resource-Based View and Dynamic Capabilities Theory into the context of AI adoption within public enterprises.
Ogala David Polycarp, Charity Ngozika Nwabueze, Eleghuke-Richard Joy Ifunanyachi· Journal of Human Resources a...· 0 citations
The global rise of Artificial Intelligence (AI) and digital assets is reshaping governance systems and creating new avenues for improving public administration and fostering good governance. This study examines how AI and digital assets can strengthen public administration and enhance governance outcomes in Nigeria. Using a qualitative research approach, the study synthesizes scholarly articles, government publications, policy documents, and reports from international organizations. Grounded in the Technology Acceptance Model (TAM), the study investigates the ways in which AI technologies and digital assets improve administrative efficiency, transparency, accountability, citizen engagement, and evidence-based policymaking. Findings indicate that AI tools — such as machine learning, predictive analytics, intelligent automation, and digital decision-support systems — hold considerable promise for enhancing public service delivery and policy execution. Similarly, digital assets, including electronic records, digital identity systems, blockchain technologies, cloud computing, and e-government platforms, play a crucial role in promoting transparency, accountability, and institutional effectiveness. However, significant implementation challenges remain in Nigeria, including insufficient digital infrastructure, cybersecurity risks, a shortage of technical expertise, resistance to change within organizations, and weak regulatory frameworks. The study concludes that the effective integration of AI and digital assets can substantially strengthen public administration and good governance in Nigeria, and recommends increased investment in digital infrastructure, capacity building, cybersecurity, regulatory reform, and institutional modernization.
Charity Ngozika Nwabueze, Ogala David Polycarp· International Journal of Soc...· 0 citations
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