HR Analytics and the Industrial Internet of Things (IIOT): Pathways to Sustainability in Pakistan’s Industry

Abstract

This study aims to fill a significant gap by using a moderated mediation model in Pakistan’s industrial sector to investigate the combined effects of HR analytics and IOT on sustainable business practices. Although HR practices and technology have developed, little is known about how they work together to affect sustainability in developing nations. This study examines the moderating impact of HR analytics and the mediating function of data-driven insights on sustainability in Pakistan's textile sector. Quantitative data was used to gather online surveys from 300 employees in an important textile subsector. The connections between IIOT, HR analytics, data-driven insights, and sustainable practices were examined using Preacher and Hayes' PROCESS Model 8 and statistical analysis in SPSS. Results indicate that IIOT applications greatly increase sustainability, with data-driven insights acting as a mediator. There is a need for more thorough HR analytics integration since, whilst HR analytics improves the direct IIOT-sustainability relationship, they do not moderate the indirect channel through data insights. Textile companies in Pakistan and Southern Punjab are urged to invest in IIOT infrastructure and develop a data-driven culture by improving the analytical abilities of their staff. To better match workforce plans with sustainability goals, HR analytics should be strengthened and cross-departmental collaboration encouraged. All things considered, the reports emphasize the importance of IIOT and HR analytics investments for promoting long-term industrial change in developing nations.