@article { author = {Sakhaie, Shiva and Asgari, Mohamad and Borjali, Ahmad and Mahmoodi, Amir hoosein}, title = {Developing the Job Stress Model for Airlines Flight crew}, journal = {Clinical Psychology Studies}, volume = {10}, number = {37}, pages = {43-62}, year = {2020}, publisher = {Allameh Tabataba’i University}, issn = {2322-3189}, eissn = {2476-6410}, doi = {10.22054/jcps.2020.50485.2300}, abstract = {Job is one of the most important issues in the discussion of human resources, and since the discussion of job stress in the flight crew and its relationship with the performance of the flight crew is very important and vital. This research is about recognizing and developing a model for job stress among the cabin crew of Mahan Airline. The qualitative research methodology has been followed by qualitative inductive approach and grounded theory, that is the common approach in this case. The population of this research has two sections; the first section includes the new related scientific documents from 10 to 20 texts that are collected by using targeted approach until achieving domination criteria. Inductive qualitative content analysis method was applied for analyzing the specialized texts that are related to the research. The second population contains the whole flight crew of Mahan Airline Company. The research sample is chosen by using targeted and snowball method and by 37 items has been reached to theoretical saturation. The data are gathered by Semi-structured approach and they are analyzed by Straws & Corbin(1998) systematic analysis method. A total of 260 opening codes and 19 axial codes were extracted, which were categorized into 5 selected codes. as a result the job stress model of Mahan Airline flight crew is established and then is validated by focus group. The results show that the established pattern for job stress has five main aspects including the job stress nature, appearing job stress, the sources and conditions of job stress, reaction to job stress and consequences of job stress, and there is connection among them.}, keywords = {stress,job stress,nature of the job stress,cabin crew,Job stress model}, title_fa = {Developing the Job Stress Model for Airlines Flight crew}, abstract_fa = {Job is one of the most important issues in the discussion of human resources, and since the discussion of job stress in the flight crew and its relationship with the performance of the flight crew is very important and vital. This research is about recognizing and developing a model for job stress among the cabin crew of Mahan Airline. The qualitative research methodology has been followed by qualitative inductive approach and grounded theory, that is the common approach in this case. The population of this research has two sections; the first section includes the new related scientific documents from 10 to 20 texts that are collected by using targeted approach until achieving domination criteria. Inductive qualitative content analysis method was applied for analyzing the specialized texts that are related to the research. The second population contains the whole flight crew of Mahan Airline Company. The research sample is chosen by using targeted and snowball method and by 37 items has been reached to theoretical saturation. The data are gathered by Semi-structured approach and they are analyzed by Straws & Corbin(1998) systematic analysis method. A total of 260 opening codes and 19 axial codes were extracted, which were categorized into 5 selected codes. as a result the job stress model of Mahan Airline flight crew is established and then is validated by focus group. The results show that the established pattern for job stress has five main aspects including the job stress nature, appearing job stress, the sources and conditions of job stress, reaction to job stress and consequences of job stress, and there is connection among them.}, keywords_fa = {stress,job stress,nature of the job stress,cabin crew,Job stress model}, url = {https://jcps.atu.ac.ir/article_11498.html}, eprint = {https://jcps.atu.ac.ir/article_11498_aa7a4bf418f724736373ce80289d8074.pdf} }