Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/18344
Title: PREDICTING EMPLOYEE’S PERFORMANCE USING HR ANALYTICS
Authors: VERMA, MAYURI
Keywords: EMPLOYEE’S PERFORMANCE
HR ANALYTICAL
PERFORMANCE MANAGEMENT
DECENTRALIZED CYCLE
Issue Date: 2021
Publisher: DELHI TECHNOLOGICAL UNIVERSITY
Series/Report no.: TD-5166;
Abstract: In light of unpredictable business sectors and uplifted financial vulnerability, firms have put expanded focus on individual, group and company performance. For sure, one could consider the HR analytical capability to foresee performance in future as the sacred goal of HR professionals. The capability to understand, foresee, distinguish and impact undeniable degrees of individual or group performance can be considered basic to improving performance of the company and driving employee’s strategy. Performance Management Systems in firms has advanced throughout the most recent time from an independent performance evaluation process to a more coordinated arrangement of measures and cycles, including client input, marketing projections, group efficiency and 360-degree criticism, to give some examples. The pattern has likewise been to move duty regarding performance management away from the HR work towards line supervisors. Though, this move has offered line supervisors the chance to assume greater liability for the performance and development of their group members, it has presented more prominent variety in the individual employee’s experience, hence setting more noteworthy focus on the strength of the performance appraisal framework and the attitude and competence of line supervisors to view their obligations towards their team members in a serious way. The drawback of this decentralized cycle is that it is frequently hard to get one single perspective on the performance, all things considered, and people across the firm and across the entirety of the pointers of performance evaluation. In reality, how do senior pioneers realize who is doing admirably across these, what they are doing well, and where would it be advisable for them to contribute their, regularly restricted, learning and improvement investments to guarantee the best return? How would we utilize this data to have the greatest effect to the main concern?
URI: http://dspace.dtu.ac.in:8080/jspui/handle/repository/18344
Appears in Collections:MBA

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