Zahra Sharafpour; Mahmoud Dehghan nayeri
Volume 28, Issue 2 , July 2024, , Pages 65-99
Abstract
Universities face great challenges in scientific, technological, economic, and international fields. Considering these challenges helps to provide developmental capacities. Therefore, in this study, the risks in Iran's higher education industry have been identified and prioritized. To this aim, a list ...
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Universities face great challenges in scientific, technological, economic, and international fields. Considering these challenges helps to provide developmental capacities. Therefore, in this study, the risks in Iran's higher education industry have been identified and prioritized. To this aim, a list of related risks and risk groups in higher education was first identified by a deep literature review. Then the identified lists were completed and validated through interviews with experts (Delphi technique), after obtaining the convergence of experts, Fuzzy Synthetic Evaluation (FSE) based on FMEA was employed to prioritize risk factors and risk groups according to their criticality score which ultimately leads to the overall risk score. According to the results, the most critical risk in the higher education industry is "lack of meritocracy" the most vital risk group is "lack of good communication with the industry" and the critical degree of the overall risk is about 3.75, which indicates the necessity of the risks management in higher education and should be followed up by implementing preventive and control measures.
azadeh omid; Adel Azar; Mahmoud Dehghan Nayeri; Abbas Moghbel
Volume 25, Issue 3 , October 2021, , Pages 193-216
Abstract
Since the resources are limited in each industrial region, it is logical to allocate resources to the most efficient industries. Recently, based on the environmental conditions and geographical position of Tehran, the capital of Iran, this city is in critical environmental situation. Therefore, assessing ...
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Since the resources are limited in each industrial region, it is logical to allocate resources to the most efficient industries. Recently, based on the environmental conditions and geographical position of Tehran, the capital of Iran, this city is in critical environmental situation. Therefore, assessing both environmental and industrial efficiency of Tehran’s production industries is essential. In this regard, network Data Envelopment Analysis is used in order to compare total efficiency of the industries including environmental and operational efficiencies. Network Data Envelopment Analysis is a developed form of standard DEA and looks inside the black-box in order to assess the partial efficiency in addition to the total efficiency which will results to a multi-objective problem. The contribution of this research is introducing a technique for assessing the efficiency of a network structure by means of the developed form of network DEA technique which minimizes the distance from the individuals’ independent efficiency with a linear optimization approach. Results show the advantages of the proposed model.
mahdi azizi; Adel Azar; mahmood Dehghan nayeri
Volume 24, Issue 3 , October 2020, , Pages 27-49
Abstract
Crises are always the hardest test for every management theory. There are few management theories that work in the face of severe crises. As a result, organizations and managers in practice, during major crises, suspend many of their functions, dimensions and tasks. Meanwhile, the field of decision-making ...
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Crises are always the hardest test for every management theory. There are few management theories that work in the face of severe crises. As a result, organizations and managers in practice, during major crises, suspend many of their functions, dimensions and tasks. Meanwhile, the field of decision-making has a special status, because this field can’t be closed at all. Accordingly, practical theories of decision making in crisis are one of the most essential needs of any organization in times of crisis. In this regard, we tried to explain the application of PANDA decision-making strategy in critical situations. To this end, the corona crisis was chosen as the focus area. The Corona crisis, as one of the most important human crises that is currently affecting the whole world, is the best option for this purpose. In order to narrow the scope of the research, the decisions of the National Anti-Corona Headquarters of Iran were selected as our cases. Therefore, multiple case study method was selected as the method of the present study. The results of this study show that the characteristics of consequentialism, multiple feedback, speed of action and systematic attitude are the four main characteristics of Panda method that make this method especially suitable for critical situations.
emad nobahar; Mahmoud Dehghan nayeri; ali rajabzadeh ghatari
Volume 23, Issue 3 , October 2019, , Pages 161-187
Abstract
Today, according to the international significance of sustainability, scholars aim to develop sustainability assessment models within the banking industry. Since that, the banks affect the development of sustainability within the countries both directly and indirectly. The purpose of the present study ...
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Today, according to the international significance of sustainability, scholars aim to develop sustainability assessment models within the banking industry. Since that, the banks affect the development of sustainability within the countries both directly and indirectly. The purpose of the present study is to provide a comprehensive Assessment Model for the Iranian banking system, which evaluates the bank's sustainability through different aspects. Therefore, as implied research with a descriptive mixed method, the study employed a Meta-synthesis approach in order to obtain codes, themes, and categories of sustainability in the banking industry. In the following, ISM structured a network of relationships between the themes as a model while ANP helped to determine the weights of the themes and categories. Ultimately using the content analysis, the sustainability information of the banks extracted to feed the provided model, which lead to the sustainability computation of 27 governmental and non-governmental Iranian banks. As a result, Pasargad Bank ranked first, while Ayande and Melli Banks ranked second and third respectively. Moreover, it became clear that the average sustainability score of non-governmental was higher than governmental banks, while most of them neglect the environmental issues, which needs to be considered in their strategies
