A Predictive Modelling of Factors Influencing Job Satisfaction Through a CNN-BiGRU Algorithm
subject: Bidirectional Gating Recurrent Unit (BiGRU); Convolutional Neural Network (CNN); Long short Term Memory (LSTM)
description: The fields of humanities, psychology, and sociology are where the word 'job satisfaction' originated. According to psychology, it is a condition in which a worker experiences his circumstances emotionally and responds by experiencing either pleasure or suffering. It is regarded as a variable in various sociological categories pertaining to how each employee assesses and thinks about his work. Because a satisfied employee contributes to and builds upon an organization's success, job satisfaction is intimately tied to an employee's performance and the quality of the work they do. As a result, job satisfaction directly correlates to an organization's success. The proposed strategy incorporates data preprocessing, feature selection, and model training. The missing value is a common feature of data preparation. Feature selection is chosen using the ANOVA F-Test Filter, the Chi-Square Filter, and the full Data Set Construction procedure. The model's efficacy can be evaluated with the help of CNN-BiGRU. The proposed technique is compared to two more models: BiGRU and CNN. It has been shown that our proposed technique outperforms two other models. 2023 IEEE.
creator: Kar R.; Renjith Krishnan K.; Antony P.; Rashmi B.H.; Padmapriya S.; Unni M.V.
source: International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023 - Proceedings, pp. 68-73.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 979-835030085-7
format: Online
language: English
type: Conference paper
coverage: Kar R., St. Claret College, Department of Management, Bangalore, India; Renjith Krishnan K., College of Economics and Business Administration, University of Technology and Applied Sciences, Shinas, Oman; Antony P., Jyoti Nivas College Autonomous, Department of Mba, Bangalore, India; Rashmi B.H., School of Business and Management, Christ University, Bangalore, India; Padmapriya S., Christ University, Department of Commerce, Bangalore, India; Unni M.V., St. Claret College, Department of Management, Bangalore, India