Artificial Intelligence Capabilities and Strategic Performance of Manufacturing Firms in Nigeria
TL;DR
The study concludes that AI capabilities constitute valuable strategic resources that enhance competitiveness, adaptability, and long-term organizational success and recommends increased investment in AI infrastructure, employee digital skills development, and data analytics systems to improve strategic outcomes in the Nigerian manufacturing sector.
Abstract
This study examined the effect of artificial intelligence (AI) capabilities on the strategic performance of manufacturing firms in Nigeria. The study was motivated by the increasing importance of AI technologies in enhancing organizational competitiveness, operational efficiency, and decision-making. Specifically, the study investigated the influence of machine learning capability, predictive analytics capability, intelligent automation capability, and data management capability on strategic performance. The study was anchored on the Resource-Based View (RBV) theory and adopted a survey research design. Data were collected from managers and supervisors of selected manufacturing firms in Nigeria using a structured questionnaire. Descriptive statistics, correlation, and multiple regression analyses were employed for data analysis. The findings revealed that machine learning capability, predictive analytics capability, intelligent automation capability, and data management capability significantly and positively influence the strategic performance of manufacturing firms. The study concludes that AI capabilities constitute valuable strategic resources that enhance competitiveness, adaptability, and long-term organizational success. The study recommends increased investment in AI infrastructure, employee digital skills development, and data analytics systems to improve strategic outcomes in the Nigerian manufacturing sector.