Designing a Model for Identifying Job Stress Indicators in COVID 19 Pandemic Course with Artificial Neural Network Approach (Case Study: Air Transport Industry Employees)

Articles in Press

Document Type : Research Paper

Authors

1 Department of Industrial Management, Faculty of Business and Economics, Persian Gulf University, Bushehr, Iran

2 Department of Public Administration, Faculty of Management and Economic, Islamic Azad University, Science and Research Branch, Tehran, Iran

3 Associate Professor at the Research Center of Management & Productivity Studies Center, Faculty of Management and Economic, Tarbiat Modares University, tehran, Iran

Abstract

The aim of this research was to find the most important indicators in creating job stress of country's air transport industry employees during the Corona era. This research is developmental-applicative in terms of purpose, in terms of data collection method, it is a descriptive survey type research and in terms of data collected type, it is quantitative. The statistical population of research was made up of 1420 working employees in headquarters department of Iran's air transport industry, of which 312 were selected as a sample by simple random sampling. The data collection tool of this research was a researcher-made questionnaire consisting of 126 specialized questions in line with the research variables, which were designed based on the five-choice Likert scale. The results showed that the dimensions of work environment, age and experience are important factors in creating job stress among air transport industry employees during the covid-19 pandemic, and from the number of 126 introduced indicators, 43 active independent indicators have succeeded in predicting job stress behavior and are important. Therefore, it is suggested to the managers of the air transport industry to take effective measures to reduce the psychological pressure of employees by strengthening the field of training and specialized preparation and to try to provide safe working conditions for employees with organizational support.

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Organizational Behaviour Studies Quarterly

Articles in Press, Accepted Manuscript
Available Online from 21 February 2024

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