1
PhD in Public Management, Human Resources Management and Lecturer at Imam Ali (AS) Military University
2
Graduate of Human Resources Management and lecturer at Imam Ali Military University
Abstract
Given the importance of accepting orders issued by employees for future organizations, research The present is done with the aim of designing a dynamic model for predicting the acceptance of orders by employees Has been. In this study, in order to identify the relationships between variables from an in-depth interview with 19 Experts have been used. The present research is of mixed, explanatory and applied development type - - Is. Dynamic system method and Wensim software were used to present the research model Is. The result of the research is the presentation of a dynamic model for predicting the rate of acceptance of orders by employees It helps managers and commanders to identify the required level of acceptance Employees, from the dynamic system provided to adjust the dimensions of the system and get the level It is desirable to take advantage of the acceptance of employees. Comparison of different research scenarios Donor is the most important factor influencing the acceptance of orders by employees, acceptability It is instructive and other components include: upgrading the level of human resource management measures, capability The client, command properties, and underlying factors are next in line have.
maleki,M and habibi,M . (2021). Designing a dynamic model for predicting the acceptance of orders by employees. Defense-Human Capital Management, 1(1), 194-224.
MLA
maleki,M , and habibi,M . "Designing a dynamic model for predicting the acceptance of orders by employees", Defense-Human Capital Management, 1, 1, 2021, 194-224.
HARVARD
maleki M, habibi M. (2021). 'Designing a dynamic model for predicting the acceptance of orders by employees', Defense-Human Capital Management, 1(1), pp. 194-224.
CHICAGO
M maleki and M habibi, "Designing a dynamic model for predicting the acceptance of orders by employees," Defense-Human Capital Management, 1 1 (2021): 194-224,
VANCOUVER
maleki M, habibi M. Designing a dynamic model for predicting the acceptance of orders by employees. Defense- Human Capital Management. 2021;1(1):194-224 (In Persian).