Technology Adoption and Workforce Performance in Public Service: Strategic Models and Institutional Perspectives

Abstract

In today’s digitally driven environment, public sector institutions are increasingly expected to adopt technologies that enhance efficiency, transparency and accountability. This study, technology adoption and workforce performance in public service: strategic models and institutional perspectives, investigates how workforce performance and technology adoption are related using the national identity management commission in Nigeria as a case study. The specific goals for the study were to: determine how perceived ease of use influences contextual performance; assess the effect of perceived usefulness on productive behavior; examine the impact of behavioral intention on adaptive performance; investigate the role of facilitating conditions on task performance and explore how social influence affects innovation in the public sector. A descriptive survey design was used and a sample size of 361 respondents was used. Regression analysis using SPSS version 25 was utilized to test the hypotheses. In addition, SWOT and PESTEL frameworks were applied to provide strategic insights into internal and external influences on technology adoption. Findings revealed statistically significant relationships between perceived ease of use and contextual performance (p=0.012), perceived usefulness and productive behavior (p=0.001), and behavioral intention and adaptive performance (p=0.001). However, facilitating conditions (p=0.255) and social influence (p=0.287) did not significantly affect task performance and innovation respectively. The study was limited by constraints in accessing disaggregated organizational data and regional staff deployment. The study concludes that while technology adoption positively impacts workforce performance, more attention should be given to institutional support systems and strategic alignment.