Authors:
Anoma Paksutti, Palanivel Rathinasabapathi Velmurugan, R. Sivakani, V. Padmavathy, S. Silvia Priscila
Addresses:
Faculty of Economics and Business Administration, Berlin School of Business and Innovation, Berlin, Germany, anoma.paksutti@berlinsbi.com, palanivel.velmurugan@berlinsbi.com. Department of Artificial Intelligence and Data Science, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India, sivakani@dhaanishcollege.in. Department of Physics, Prathyusha Engineering College, Arunvayolkuppam, Tiruvallur, Tamil Nadu, India, vpadmavathy333@gmail.com. Department of Computer Science, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India, silviaprisila.cbcs.cs@bharathuniv.ac.in.
With the help of this study, both the personnel and the organisation can improve their performance. To identify the performance appraisal of employees in their occupations, which is influenced by a variety of elements, including incentives, working conditions, subordinate relationships, reward systems, job security, and welfare facilities, the primary goals of the study are to determine the performance appraisal from the perspective of the employees. People working for the organization have certain expectations regarding these situation aspects. This descriptive research is used to design a scheduled questionnaire to collect data from the employees, and the collected data are analyzed and tested for validity and reliability. The statistical tool is used to study the significance, and the sample size selected was 105 employees from that particular company. To locate the employee's performance evaluation system to their work organization. The opinions of workers and the degree to which they are satisfied with their jobs are good places to look for them. In addition, the company took various measures to boost the mood of its workforce by implementing several tactics, which were detailed in the company's prospectus.
Keywords: Scheduled Questionnaire; Performance Appraisal System; Line Manager; Annual Performance; Highly Interactive Processes; Developing Assessment Tools; Writing Job Descriptions.
Received on: 02/04/2024, Revised on: 19/06/2024, Accepted on: 29/07/2024, Published on: 01/09/2024
AVE Trends in Intelligent Computing Systems, 2024 Vol. 1 No. 3, Pages: 184-197