1.
Satyam Kumar
– Tata Steel, Manager HRBP, Corporate Functions & Alumna, Xavier Institute of Social Service (XISS), Ranchi, Jharkhand, India.
2.
Binit Lakra
ID
– Assistant Professor, Human Resource Management, Xavier Institute of Social Service (XISS), Ranchi, Jharkhand, India.
3.
C. Vanlal Zawna
ID
– Assistant Professor, Human Resource Management, Xavier Institute of Social Service (XISS), Ranchi, Jharkhand, India.
Received -
Accepted -
Published 30-Sep-2026
Abstract
Employee grievances are a major concern of the industries across multiple issues. Workplace grievances may arise due to various factors. Various literatures shows that the grievance redressal procedures continue to evolve and are influenced by the new technologies. The study was conducted at an organizational setting undergoing such a change directly related to grievance handling procedures. The study adopts a quantitative method where survey tools were used. A few interactions were also conducted with representatives from the management to understand their perspectives. This study explores upcoming grievance handling digital practices adopted in the workplace. The study further explores the role of certain variables in terms of directly affecting the grievance redressal procedure and also affecting the overall satisfaction of the employees and the relationship existing between the variables. The survey method was adopted to gather insights with a focus on three key parameters, i.e. Process Understanding in grievance handling mechanisms, Timely Redressal of grievances, and the Effectiveness of grievance handling procedures. In conclusion, the interconnected variables of such concerns emerge as pivotal factors influencing employee grievance outcomes and satisfaction levels. The study concludes that there exists a positive correlation among these variables, emphasizing their collective impact on enhancing the overall state of employee satisfaction within organizations. Similar studies in other regions with other grievance-related variables and also inter-comparison with different employee groups may be conducted.
Keywords Digital transformations, Grievance parameters, Optimization processes
