TECHNO-EUSTRESS DIMENSIONS AS PREDICTORS OF THRIVING AT WORK AMONG HUMAN RESOURCE PRACTITIONERS

Abstract

This study examined how dimensions of techno-eustress (techno-mastery, techno-autonomy, techno-relatedness, and techno-enrichment) relate to thriving at work among Human Resource practitioners in Nigeria in the era of AI and digital transformation. Using a correlational research design, data were collected from 145 HR professionals via a Google Forms link using convenience and snowball sampling techniques.A total of 145 responses were used for this study. Findings revealed that all dimensions of techno_eustress positively related to thriving at work. Further analysis found that these dimensions jointly predicted thriving at work    
[R = .76; R² = .58; F (4, 140) = 47.83; p < .001 ] accounting for 58% of the variance in thriving at work. However, only techno-relatedness emerged as a significant independent predictor (β = .33; p<.001). These findings suggest that the social and collaborative benefits of AI digital tools are essential for professional growth in the Nigerian HR sector. Therefore, The study recommends that organizations prioritize digital tools that foster connectivity to enhance employee thriving.

Keywords: techo-eustress, thriving at work, artificial intelligence, Human Resources Professionals, techo-relatedness