“Digital Transformation of Compensation Practices and Its Impact on Employee Motivation and Performance of the Education Sector of Amravati City”
Shweta V. Ganatra1, Dr./Prof. Deepa R. Chawda2
Author 1 - PG student – Department of Business Administration, SIPNA C.O.E.T., Amravati, Maharashtra, India.
Author 2 – Professor/Associate/Assistant Professor – Department of Business Administration, SIPNA C.O.E.T., Amravati, Maharashtra, India.
Abstract
The digital transformation of human resource management has significantly altered traditional compensation practices, particularly within knowledge-intensive sectors such as education. This study examines the impact of digitally enabled compensation systems on employee motivation and performance in the education sector of Amravati City. Anchored in HR analytics and data-driven decision-making, the research adopts a quantitative approach using structured questionnaires administered to teaching and non-teaching staff across higher education institutions. The study analyzes how digital compensation practices—such as automated payroll systems, performance-linked digital incentives, online salary transparency, and self-service HR portals—affect employee motivation and work performance. Statistical techniques including descriptive analysis, correlation, and regression were employed to identify patterns and relationships among variables. The findings reveal a strong positive relationship between digital compensation practices and both employee motivation and performance. Enhanced transparency, accuracy, and timeliness of compensation emerged as key drivers of motivation, while performance-based digital incentives significantly influenced productivity and engagement. The study contributes empirical evidence from a Tier-II Indian city, offering practical insights for education administrators and policymakers aiming to leverage digital HR systems for sustainable institutional performance.
Keywords: Digital HR, Compensation Practices, Employee Motivation, Employee Performance, Education Sector, HR Analytics
