Seyyed Jalaladdin Hosseini Dehshiri ; Mojtaba Aghaei; Jamshid Salehi Sadaghiani
Abstract
Today, service delivery is changing with the advent of new technologies and the emergence of online businesses. The goal of online businesses and startups is to provide online services while saving customers time and money. One of the startups that are effective in meeting the needs of different groups ...
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Today, service delivery is changing with the advent of new technologies and the emergence of online businesses. The goal of online businesses and startups is to provide online services while saving customers time and money. One of the startups that are effective in meeting the needs of different groups of the community is the Fast Moving Consumer Goods (FMCG). Due to the high consumption rates and spoilage of FMCGs, proper management and performance improvement at different levels of the supply chain is essential. On the other hand, the use of knowledge management is the main factor in the success of the supply chain to achieve a competitive advantage. There are various barriers that lead to failure in the implementation of knowledge management (KM) in the supply chain. Therefore, it is necessary to identify and remove the barriers to the implementation of knowledge management in the supply chain of startups. The purpose of this research is to identify and prioritize strategies for removing barriers to the implementation of KM in FMCG supply chain. The framework in this study is to use the combination of Fuzzy Delphi, SWARA and Gray ARAS. The SWARA method has been used to determine the weight of the barriers, as criteria, and the Gray ARAS method has been used to obtain the final ranking of the approaches to acceptance of knowledge management in the supply chain. Finally, based on the results of this research, the positive leadership towards the adoption of knowledge management in the supply chain was considered as the best way to tackle barriers to the acceptance of knowledge management in the supply chain.
mohammad taghi taghavi fard; Zahra Vafadar; Mehdi Rahim; Mojtaba Aghaei
Abstract
In all countries, entity or entities are responsible for the governance in the field of Information and Communication Technologies (ICT). In Iran, the governance of this area is the responsibility of several institutions which they must consider a set of elements and their relationships ...
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In all countries, entity or entities are responsible for the governance in the field of Information and Communication Technologies (ICT). In Iran, the governance of this area is the responsibility of several institutions which they must consider a set of elements and their relationships at the national level. The main objective of this paper is to institutionally analyze Iran's ICT governance system based on the cycle of cohesion policy and reviewing the existing challenges. With the review of the literature, a model for cohesion policy has been extracted. Based on this model and extensive research in the literature and interviews with experts in this field and by identifying responsible institutions in the governance of ICT and explaining their key roles in making policies the current situation and institutional challenges in each phase of the model is analyzed. Finally, to overcome the challenges ahead, some suggestions are presented.
Mojtaba Aghaei; Seyed Omid Basiroo
Volume 3, Issue 11 , June 2015, , Pages 97-122
Abstract
In this paper, we ranking member countries of the Organization for Economic Cooperation and Development using various indices derived from various models of technological capabilities at the national level, and Development multiple criteria decision making using technological capability. In the first ...
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In this paper, we ranking member countries of the Organization for Economic Cooperation and Development using various indices derived from various models of technological capabilities at the national level, and Development multiple criteria decision making using technological capability. In the first method, a Library, a review of relevant literature is done. The most important criteria to evaluate the model and technological capabilities at the national level have been studied and eventually selected 14 indicators as decision criteria. Then using a simple weighted sum of decision-making techniques, TOPSIS and electree, OECD countries in terms of technological capabilities have been rated. Then, to merge the results of each technique, Copeland method is used. This research is quantitative aspects of the method in terms of investigations of applied research. Based on the research findings, America, Japan and Germany as the leading technological capabilities and economic cooperation among the member states as they develop.
