Decision based on Soft Computing
Sadegh Hasani Moghadam; Mohammad Mahdi Mohtadi; Hossein Bazargani; Ali Taheri; Mohsen Miri
Abstract
Purpose: The main goal of this study is to present a novel model for managing organizational processes possessing the necessary agility in complex situations. One of the most critical requirements of such a model is using systems thinking and a soft operations research approach because the methods introduced ...
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Purpose: The main goal of this study is to present a novel model for managing organizational processes possessing the necessary agility in complex situations. One of the most critical requirements of such a model is using systems thinking and a soft operations research approach because the methods introduced in the background to achieve the agility of the process management generally include fragmentary optimization because of the one-dimensional view and the lack of a system view to identifying agility variables in process management.Methodology: In this study, an attempt was made to provide a comprehensive model using the interpretative paradigm's capabilities. To this end, the main components were identified using the meta-synthesis technique and interviews with eighteen experts. Further, components were prioritized by using the interpretative ranking process.Findings: The findings show that the process leadership component is given first priority based on the interpretive ranking. Therefore, organizations that want to be agile in their process management system should consider leadership characteristics in processes to implement transformational systems. After that, the results showed that environmental awareness, knowledgeable and competent human resources, organizational learning dimension, contingent and appropriate structures, governance, improvisation-based strategy-making, technological infrastructure, dynamic adaptation, culture, and creative sustainability are prioritized, respectively.Originality/Value: Using soft operations research techniques, including the interpretive ranking process, in designing an agile model for managing business processes will significantly help process organizations in complex and dynamic environments to simultaneously exploit the benefits of stability in managing processes and dynamism coming from being agile.
Decision based on Soft Computing
Hamzeh Amin-Tahmasbi; Mahdi Alireza
Abstract
Purpose: Choosing stocks has always been one of the investors' concerns. The primary purpose of this study is to identify the factors affecting the decision-making and ranking of stocks in the stock exchange's three metal, chemical and pharmaceutical industries according to the importance of these industries.Methodology: ...
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Purpose: Choosing stocks has always been one of the investors' concerns. The primary purpose of this study is to identify the factors affecting the decision-making and ranking of stocks in the stock exchange's three metal, chemical and pharmaceutical industries according to the importance of these industries.Methodology: The statistical sample of this research includes the shares of 84 companies in these three industries, which have been examined based on the data of 2021. First, stock rating factors were extracted by reviewing the research background. Experts used these factors in this field, and the final factors were selected after screening. Weighting and prioritization of these factors were done using the fuzzy SWARA method. According to the weight of the factors obtained from the fuzzy ride method and companies' financial information, the COCOSO method was used to rank the target stocks.Findings: The results showed that price-income ratio, operating profit margin, and percentage of return on capital are the essential criteria for experts. Also, Fasabezvar, Fasmin, and Vetoka from the metal group, Vepakhsh, Desobha, and Depars from the pharmaceutical and shoyande, Shepdis and Shefan from the chemical group won the first and third places.Originality/Value: In the last four years, various works have been done in this field, but less work has paid attention to the uncertainty in experts' opinions. Regarding other innovations of this article, it can be pointed out that the three industries of metal, chemical, and pharmaceutical, due to the importance of these industries, have not been specifically studied. Regarding the method of prioritizing criteria and stocks, less attention has been paid to new decision-making methods and uncertainty in decisions. Therefore, using new techniques, the importance of criteria can be determined with higher accuracy, and a better return on investment can be obtained.
Decision based on Soft Computing
Mostafa Mahmoodi Sharif; Mohammad Mehdi Rahimian Asl; Mohammad Hassan Maleki
Abstract
Purpose: The purpose of this paper, Futures Studies of Iran's Oil Industry Supply Chain with Emphasis on Internal Factors. Supply chain plays an important role in the efficiency of providing products and services. This category is becoming more important in the oil industry, which is one of the competitive ...
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Purpose: The purpose of this paper, Futures Studies of Iran's Oil Industry Supply Chain with Emphasis on Internal Factors. Supply chain plays an important role in the efficiency of providing products and services. This category is becoming more important in the oil industry, which is one of the competitive advantages of the country, and its development can create a lot of currency and employment for the country's economy.Methodology: The present research is applied in terms of orientation and exploratory in terms of purpose. Also, the philosophical foundations of research, pragmatism and its methodology are mixed. To conduct the research in the first stage, by reviewing the literature and interviewing oil industry experts, 16 key drivers of the research were extracted. After screening, 8 factors were removed by statistical tests and the rest of the factors were evaluated by Cross Impact Analysis technique.Findings: Based on the degree of effectiveness, the two drivers of government financing policies and oil companies' plans to improve and upgrade oil equipment were selected as important drivers for mapping oil industry supply chain scenarios.Originality/Value: Based on these two drivers, four scenarios of opportunistic supply chain, resource-oriented supply chain, new supply chain and old supply chain were mapped. According to the four criteria for evaluating scenarios in terms of probability of occurrence and application of CODAS technique, the opportunistic supply chain scenario was selected as the most probable scenario.