In today's competitive world, many manufacturing and service firms, including banks, have been forced to use new managerial approaches, and methods for assessing organizational performance. The Data Envelopment Analysis (DEA) approach is one of these approaches, which has been used to evaluate the performance of organizations since 1978. The purpose of this research is to use the technology super-efficiency in measuring the efficiency of bank branches (Case Study: Melli Bank of Gilan Province). In this research, the input-vector model of data envelopment analysis, in the form of constant return-to-equilibrium, and Anderson-Pearson (AP) superclass, have been used to measure the efficiency of branches 1, 2 and 3 degrees in the Melli Bank of Gilan Province, in 2015. In summary, the results showed that the average of the efficiency score of the surveyed branches in 2015 is 0.75. The grade of a branch of Golsar, Rasht, was introduced as the most efficient case, and Kish Shahr Bandar was introduced as the most inefficient branch, due to a score of 0.8, lower than the average of the total number of branches. The results showed that the most important factor in the weakness of cost management in inefficient branches is the cost of advertising and marketing, and the most weakness in the planning of the field of staff training of the inefficient branches. Manuscript profile

The balance between environmental regulations and economic issues has always been one of the main challenges of governments, because with the growth of industrialization, environmental pollution has also increased. Along with the desired outputs in the production process, may also produce undesirable outputs which have a great impact on organizations efficiency and environmental pollution. On the other hand, dealing with the impact of undesirable factors on the inputs and desirable outputs, valuable information for making strategies and organizational decisions could be achieved. Considering undesirable factors, this paper aims to calculate the relative efficiency and marginal ratios of environmental systems using weak and managerial disposability models of data envelopment analysis (DEA). This study is conducted in two phases. In the first one, the regions were classified into efficient and inefficient groups using a developed DEA model. In the second step, the marginal rate of undesirable outputs on the inputs and desirable outputs in efficient areas were calculated. The results showed that the change in the amount of undesirable outputs has a significant effect on other variables. Manuscript profile

هدف اصلی این پژوهش ارائه مدل مناسب به منظور مدیریت ریسک اعتباری در بانک ها با استفاده از رویکرد ترکیبی DEMATEL و فرآیند تحلیل شبکه ای (ANP) است .در این پژوهش از بین متغیر های شناسایی شده، 17 متغیر با استفاده از قضاوت خبرگان ( روش دلفی ) مورد تائید قرار گرفتند . جامعه آماری پژوهش حاضر مدیران و متخصصان بانک (بانک صادرات استان گیلان ) می باشد. ابزار مورد استفاده برای جمع آوری داده های تحقیق پرسشنامه است که تعداد 8 پرسشنامه بین خبرگان تحقیق توزیع گردید و برای تجزیه و تحلیل داده ها از تلفیق تکنیک DEMATEL و ANP استفاده شد. با تجزیه و تحلیل داده ها در تکنیک و فرآیند DEMATEL مشخص گردید که در بین 17 معیار شناسایی شده موثر بر ریسک اعتباری در بانک ها ، ریسک عملیاتی بیشترین تاثیرگذاری رابر ریسک اعتباری دارد . از میان معیارهای ریسک عملیاتی نیز کیفیت فرآیند بررسی تسهیلات بیشترین تاثیر رادارد به عبارتی این معیار با اهمیت ترین معیار از نظر تاثیرگذاری و تاثیرپذیری در کل سیستم است . همچنین ریسک تمرکز نیزدارای اهمیت بالایی در کل سیستم است. نتایج این پژوهش در مدیریت ریسک اعتباری بانک ها قابل استفاده و دارای اهمیت است. Manuscript profile