Designing and Explaining the Compensation Model for Creative Industries Employee Services (Case Study; Radio and Television News Agency)

Document Type : Original Article

Authors

1 PhD student in Media Management, Aras International Campus, University of Tehran

2 Associate Professor, Department of Business Management, Faculty of Management, University of Tehran

3 Professor, Department of Business Management, Faculty of Management, University of Tehran

10.30510/psi.2022.286971.1737

Abstract

Over the past decade, a number of governments around the world have recognized the importance of the creative industries and have begun to develop policies to promote it. Creative industries have become an important component of knowledge-based economies and, in measurable cases, have a above-average share of growth and job creation. It seems that the most important feature of the creative industries is its human resources. Among human resource management activities, the payment system can influence employee decisions. According to the above, in this study, an attempt is made to design and explain the compensation model for employees of creative industries (case study; IRIB). Then, by examining the opinions of 10 professors and experts in the field of human resources and creative industries and experts of the Radio and Television News Agency, effective variables were identified and finally, using the data-based method, which is a cross-sectional research, the data during Collected a few weeks. The results showed that the category of appropriate reward system with 113 repetitions of code is in the first place, individual characteristics with the number of 88 codes are in the second place and superior performance with 33 codes is in the third place. This research showed that a service compensation system is correct. Implemented can provide an incentive for the quality of work and performance of employees. Similarly, a poorly monitored service compensation system can lead to low morale, unproductive performance, and even a high percentage of employee layoffs.

Keywords

Political Sociology of Iran
Volume 5, Issue 11
January 2023
Pages 3102-3116

Files

Share

How to cite

Statistics