Organizational Behavior Management
Mohammad Rasoul Khodadadi; Yaghoub Badri Azarin; Mehdi Djahangiri
Abstract
This study aimed to provide a model of convergence organizational behavior of Sports organizations human resource in the public sport for all service supply chain using the fuzzy cognitive mapping approach. The present study has been done using a systematic design of data foundation theory and based ...
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This study aimed to provide a model of convergence organizational behavior of Sports organizations human resource in the public sport for all service supply chain using the fuzzy cognitive mapping approach. The present study has been done using a systematic design of data foundation theory and based on fuzzy cognitive mapping approach. Through in-depth and semi-structured interviews with 18 experts in the sports industry, sport for all, supply chain and Human Resource Management, the concepts and components of optimal Vertical and horizontal convergence model of human resource management of sport for all services were identified. After summarizing and formulating the issues raised by the experts, the supply and demand system of human resources in the whole chain, supply chain of human resources talent, optimization of knowledge and training in the chain, standardization of employment along the chain, matching of service compensation, monitoring and Human resource control and HR retirement program were identified as factors of horizontal alignment and cultural alignment, convergence of human resource information, convergence with customer and market demand and convergence with supply chain strategies as factors of vertical convergence of human resources in the sport for all service supply chain. Excel, FCMapper and FCM EXPERT software were used to draw fuzzy cognitive maps and calculate the related indicators. The indicators related to cognitive maps indicated that the supply and demand system of human resources in the whole chain, the supply chain of human resources talent and the monitoring and control of human resources have the highest degree of centrality, respectively; Finally, the effect of different horizontal and vertical convergence policies on mapping elements was investigated in two scenarios.
Mehdi Djahangiri; Fatemeh Ranjbar Vahed; Mehdi Ghasemi Mir
Abstract
Disclosure is a powerful control tool in preventing organizational violations. The purpose of this study is to predict the disclosure behaviors of the employees of the Ministry of Sports and Youth with a neural network approach. This research is applied and the method of information collection is survey. ...
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Disclosure is a powerful control tool in preventing organizational violations. The purpose of this study is to predict the disclosure behaviors of the employees of the Ministry of Sports and Youth with a neural network approach. This research is applied and the method of information collection is survey. The statistical population included all employees of the Ministry of Sports and Youth (870 people). According to Krejcie and Morgan table, 260 people were selected as a statistical sample and 250 complete questionnaires were examined. This questionnaire was developed by the researcher based on theoretical foundations and past research, designed and localized. In order to check and confirm the validity of the instrument, the validity of the content was examined through the opinion of experts and the validity of the structure was examined through confirmatory factor analysis. Also, Cronbach's alpha coefficient was used to evaluate the reliability of the questionnaire, which was 0.86 for the whole questionnaire. Factors affecting violation disclosure behaviors by employees as input and self-reporting employee disclosure (internal and external disclosure) was considered as the output of this model. The evaluation results showed that the artificial neural networks model has a high accuracy in predicting the disclosure behaviors of the staff of the Ministry of Sports and Youth based on age and gender inputs. The evaluation results showed that the artificial neural networks model has high accuracy in predicting the disclosure behaviors of violations by the staff of the Ministry on responsibility, job satisfaction, moral identity and organizational Commitment.
