Maximizing Employee Performance through Advanced Technology in the Modern Workplace

Abstract

This study explores the transformative role of advanced technology in shaping employee performance and overall organizational outcomes within the context of the Middle Eastern corporate ecosystem. Drawing from a comprehensive literature review and theoretical frameworks such as the Technology Acceptance Model (TAM), Resource-Based View (RBV), Task-Technology Fit, and Human Capital Theory, the research investigates four core hypotheses: (H1) the impact of advanced technology on employee performance, (H2) the mediating role of training and digital competency, (H3) the effect of organizational support for digital learning, and (H4) the influence of employee productivity on organizational performance. A quantitative, explanatory research design was employed, involving stratified random sampling of 300 employees across Qatar, the UAE, and Saudi Arabia. Data were analyzed using SPSS 26, incorporating factor analysis, multiple regression, and ANOVA. Results confirm significant positive associations across all hypotheses, with key findings showing that advanced technology adoption explains approximately 66% of the variance in employee performance. High reliability (Cronbach’s α > 0.85 across constructs) and strong factor loadings (> 0.6) validate the measurement model. These findings reinforce the necessity of aligning digital initiatives with targeted training, organizational support, and strategic HR policies to enhance performance. This study offers critical insights for managers and policymakers on leveraging technological integration as a driver of sustainable organizational growth in the digital age.