Capacity Building, Digital Workforce Transformation, And Employee Productivity In The Nigerian Food And Beverages Manufacturing Sector Integrating Traditional Capacity Building With AI-Driven Learning, Digital Upskilling, And Post-Pandemic Workforce Resil
Omukpai Chika, PhD
Volume 6, Issue 2, September 2026
This study examines the relationship between capacity building and employee productivity in quoted food and beverages manufacturing companies in South-South Nigeria, while extending the theoretical and empirical lens to address contemporary issues of digital workforce transformation, artificial intelligence (AI)-assisted learning, post-pandemic workforce resilience, and sustainability-oriented human resource development. Grounded in Social Learning Theory (Bandura, 1977) and augmented by the Dynamic Capabilities Framework (Teece et al., 1997) and the Technology Acceptance Model (Davis, 1989), the study adopts a cross-sectional survey design involving 1,916 employees across 14 quoted manufacturing firms, with a sample of 330 respondents drawn via Taro Yamane's formula. Of 330 distributed questionnaires, 287 valid responses (87.0%) were analysed using Spearman's Rank-Order Correlation Coefficient via SPSS v26. Findings reveal strong positive and significant relationships between capacity building and all three measures of employee productivity: timeliness (rho = .976, p < .01), quantity output (rho = .985, p < .01), and quality of service (rho = .972, p < .01). The paper argues that in an era defined by Industry 4.0 disruptions, AI-driven talent systems, and post-COVID workforce reconfiguration, traditional capacity building frameworks must evolve to encompass digital upskilling, psychological resilience development, and knowledge management ecosystems. Theoretical and practical implications for emerging-economy HR practice are discussed.