Intellectual capital is a type of asset measuring ability of economic agency in order tomake wealth. These assets do not have physical and objective nature and are intangible assets being achieved through utilization of relative assets with human resources, organizational operation and foreign relations from economic agency. Measuring this issue is important from intraorganizational and extra-organizational views. In this paper, we present survey based on Fuzzy TOPSIS to find important factors influencing intellectual capital management. The proposed model of this paper considers different factors, which exist in the literature and prioritize them based on different criteria. The results of our survey identified seven items as the most influencing factors.
Clustering plays an important role on developing industries, since business units can take advantage of many existing industries for trouble shooting or sharing their experiences to increase efficiency. One of the primary concerns for developing clustering is to identify and remove important barriers. In this paper, we gather experts' feedbacks on forming clustering in Iran's industries and, using analytical network process, we prioritize the important factors and provide some necessary guidelines to develop clustering. The results of this paper indicate that the existence of a supplier network is the most important factor, followed by the existence of competition between operational units, existence of high-risk investors, existence of suitable infrastructures. There are also other less important criteria including the existence of flexibility, suitable technology and competition, governmental regularities, social background, trust, etc.
Background and Objectives: Public-private partnerships (PPPs) are among the interesting topics for scholars, policymakers and managers in various fields, including health. The purpose of this study is to design a model for the development of PPP in the health system of Iran. Methods: This is a qualitative study using a Meta-Synthesis approach. The data were collected by reviewing articles related to the literature which were searched in valid national and international databases. Then, using the opinions of a panel of experts, the qualitative findings extracted from the articles were synthesized to finally discover new concepts. Results: Out of 217 articles extracted, 27 final articles were selected and 66 initial codes were extracted. According to experts, the final results include 3 main dimensions and 12 Components: public sector with Components (organizational and institutional, Administrative and social, legal and regulatory, structural and contextual), private sector with Components (economic and financial, Banking and inflation, technical and specialized, Technology and equipment, legal and contractual) and the charity sector with Components (acceptability and effectiveness, awareness and confidence building, communication and interaction). Conclusion: The present study provides a new model and perspective on how to develop PPP in the health system of Iran. Based on this model, the managers of public, private and charity sectors can improve the health system of the country by using the huge economic, social and cultural capacities of society.
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