The Influence of Employee Engagement Analytics on Organizational Commitment in Karachi’s Corporate Sector

Abstract

This study examines the effect of Employee Engagement Analytics (EEA) on Organizational Commitment (OC) within corporate organizations in Pakistan, incorporating the moderating role of SocioHealth Conditions (SCH). The primary objective is to determine whether data-driven employee engagement practices enhance employees’ psychological attachment to their organizations, and whether socio-health factors influence this relationship. A quantitative research design was employed, utilizing a structured questionnaire administered to 120 employees across various sectors. Data analysis was conducted using SMARTPLS 4 through Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess construct reliability, path relationships, and model validity. Results reveal that EEA has a statistically significant and positive impact on OC (β = 0.211, p = 0.028). SCH also shows a significant direct effect on OC (β = 0.334, p = 0.001), whereas its moderating effect on the EEA–OC relationship is not statistically significant (β = - 0.094, p = 0.102). These findings suggest that analytics-driven engagement strategies contribute positively to organizational commitment regardless of employees’ socio-health conditions. It is recommended that organizations strengthen their engagement analytics capabilities and implement employee wellbeing programs to foster a more committed workforce. This study adds to the growing literature on employee analytics by emphasizing its importance in promoting organizational loyalty in emerging economies like
Pakistan.