علی محمدی

Background: Reporting delinquency as an important and effective moral behavior can be influenced by the moral values ​​that govern the organization and personality traits of individuals. Therefore, given the importance of the role of reporting in identifying and preventing organizational delinquency, it is necessary to gain a better understanding of the factors that affect it. The purpose of this study is to investigate the effect of self-control and social desirability on the ethical reporting of banking delinquency of bank employees, with emphasis on demographic characteristics. Method: This descriptive-survey study was conducted and its sample size consisted of 306 employees of public and private bank branches. The research variables were measured using standard questionnaires and finally structural equations, confirmatory factor analysis method and PLS software were used to analyze the data and test the hypotheses. Results: The findings indicate that the effect of self-control and social desirability on the ethical reporting of banking delinquency is confirmed. Social desirability also affects the relationship between self-control and ethical reporting of banking delinquency. On the other hand, work experience, type of job position and gender of employees have a direct impact on the ethical reporting of banking delinquency. Conclusion: The results of the study show that people with higher self-control, seek more social desirability and are more inclined to report delinquency. It also seems that bank employees, in proportion to job promotion and increasing work experience, better understand the value of reporting delinquency and with a greater sense of commitment, try to identify and report violations in order to improve the position of the bank. Therefore, by formulating ethical guidelines, incentive policies and accountability, positive personality traits (self-control and social desirability) and inherent reporting motivations of bank employees can be strengthened. Article number: 37

In recent years, industrial clusters have received considerable attention from economists and industry analysts because they are seen as the main reason for certain economic regions' economic growth and success. For many Industrial States Organization, the selection of industrial clusters has become a critical strategic consideration due to the Budget allocation priority. In this paper, an extended qualitative flexible multiple (QUALIFLEX) methods is used to solve problems regarding the priority among this cluster using probability hesitant fuzzy information, which can lead to allocating the budget for industrial clusters more effectively. For more accuracy, we have applied a Hesitant fuzzy Topsis for prioritizing. Both rankings have been aggregated by the Copeland method. From our research results, the Larestan Muscat is of great importance, and Abade Inlaid Wood, Citrus packaging, Shiraz Marquetry, and Niriz stone have ranked respectively.