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Showing 3 results for Fuzzy Delphi

Dr Hossein Samadi Miarkolaei, Dr Hamzeh Samadimiarkolaei,
Volume 4, Issue 7 (9-2017)
Abstract

Organizational entrepreneurship is the process by which organizations identify opportunities for growth and development and create new value for customers through innovation and reallocation of resources. Meanwhile, the structural indicators are the crucial and influential factors on the development of the organizational entrepreneurship process. The purpose of the present research is the verification and ranking of the effective structural indicators on organizational entrepreneurship process in Mazandaran fisheries organization. This study, in terms of research purposes, is an applied research and the used method in this study, in terms of data collection, is the descriptive-survey. Statistical population of the present study includes the experts and experienced professionals in Mazandaran fisheries organization. In the present study, by means of literature review, the effective structural indicators on organizational entrepreneurship were identified. Data collection was conducted using Delphi and paired comparisons questionnaires, and data analysis was done using Fuzzy Delphi method and FAHP. Results of the experts' opinions analysis indicated that among the 16 extracted indicators from research literature, only seven indicators are recognized as influential factors on the entrepreneurship process. Using FAHP, then, the indicators ranked as following: organizational structure (0.507); organizational strategy (0.279); reward systems (0.110); strategies and organizational policies (0.071); human resources system (0.020); organization financial system (0.010); and information resources system (0.004). The managers of this organization, according to these results, must establish a dynamic and flexible structure toward creation and innovation development, and consequently, entrepreneurship encouragement. They must endeavor to take steps to reach a strong and common entrepreneurial strategic vision between themselves and their staffs.
 

 
Mohammad Amin Amirbayk, Mahmoud Ahmadpour Borazjani, Mashallah Salarpour, Hamid Karimi,
Volume 6, Issue 12 (12-2019)
Abstract

       CCreating full employment is one of the macroeconomic goals of politicians in all countries. Unemployment is one of the major problems facing the Iranian economy,  reduction of which requires investment in various sectors of the economy and production boom. Improving the marketing situation of agricultural products can boost production, increase income and employment in agriculture. An agricultural commodity exchange boom is one way to improve the marketing position of agricultural products. The agricultural commodity exchange is an organized marketplace and a speculative example of the hypothetical of the markets. Traditional Iranian markets are not efficient for reasons not competitive, smallness, the existence of multiple marketing layers, the lack of transparency of market information and the existence of price fluctuations. Hence, the purpose of this study was to identify barriers to entry of selected agricultural products in Khorasan Razavi province to the Commodity Exchange. For this purpose, the most important barriers to supplying agricultural products were first identified by the Fuzzy Delphi method and then, using the fuzzy DEMTEL technique, the effect of each indicator on the supply of goods was investigated. The statistical population of this research includes agricultural Jihad experts, university professors and brokerage experts in Khorasan Razavi province in 2018. The results indicated that the most important obstacles to the supply of agricultural products to the stock exchange were the lack of educational systems to increase the skills and knowledge of farmers with the stock exchange, the lack of integrated agricultural organizations, commodity corruption, non-uniformity of goods (non-homogeneity of products), the absence of contracts proportional to the conditions for agricultural producers and buyers, and the existence of parallel markets such as Fruit and vegetable squares. Investigation of the interactions of factors illustrates that  lack of educational systems to increase the skills and knowledge of farmers and the lack of familiarity of agricultural producers with agricultural commodity stock are the most effective factor and the lack of appropriate contracts to the conditions of the producers and buyers of agricultural products, the corruption of goods, non-uniformity of goods, and the lack of coherent agricultural associations are the most influential or most perceptible factors. Finally, it is recommended to familiarize producers with the agricultural commodity exchange and to provide the necessary background for the commodity producers to supply the commodity exchange.

Hamidreza Yousefi Hamidreza Yousefi, Mahmoodreza Mostaghimi Mahmoodreza Mostaghimi, Majid Nasiri Majid Nasiri, ,
Volume 8, Issue 15 (7-2021)
Abstract

    In today's competitive world, the optimal use of environmental opportunities and the creation of sustainable competitive advantage are among the main concerns of companies. One of the most important techniques in creating a competitive advantage is competitive intelligence. The aim of this study was to design a competitive intelligence model in the food industry, so the combination of fuzzy Delphi method and interpretive structural modeling has been used. In this study, the opinions of 16 experts involved in the field of food industry in Tehran province who were selected by judgment and snowball technique were used. For component screening, the fuzzy Delphi method was used. Among the 39 identified indicators, the average de-fuzzy of the three indicators was less than 0.7, so 36 indicators were identified in the form of 6 components. Then, structural-interpretive modeling was used to level the identified components. The results of ISM showed that the components are in three levels and the foundation of competitive intelligence in the food industry is primarily the institutional and social components, the second component of competitors and the third strategic components, technology and market. Also, the results of MICMAC analysis showed that the components of institutional and social intelligence are in the independent cluster and the components of strategic intelligence, technology and market are in the dependent cluster and competitors' intelligence is in the autonomous cluster.
 


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