Exploring the Adoption of Human Resource Analytics by Human Resource Professionals of the EdTech Sector

The researchers have developed a technology adoption model to gauge the adoption intention of Human Resource Analytics (HRA) by the HR professionals belonging to the EdTech sector to carry out various HR functions. The proposed theoretical model has captured the impact of Performance Expectancy (PET), Effort Expectancy (EET), Social Influence (SIF), Facilitating Conditions (FCT), Trialability (TRB) on Behavorial Intention (BHI) of HRA Adoption. Moderating impact of Gender and Experience on the above-mentioned factors have also been validated by using SPSS and AMOS.Unified Theory of Acceptance and Use of Technology extension model (UTAUT 2) has validated the primary responses collected from employees of EdTech sector operating in Bangalore region (n=223). The results arrived at by using Structural Equation Model (SEM) analysis suggest that there exists a significant positive relationship between EET and BHI, SIF and BHI, PET and BHI. The moderation results denote that gender moderates the relationship between SIF and BHI and that experience moderates the relationship between EET and BHI & SIF and BHI. This study will facilitate the EdTech sector to arrive at informed decisions pertaining to their human resource and prepare customized strategies for implementing HRA.