Purpose: Entrepreneurship is a process that plays a vital role in the continuity of national growth and even economic development of the world. Therefore, the goal of the present study was "analysis the entrepreneurship Value chain of sports sciences students in Tehran universities. " Methodology: The research method in the study was the descriptive-correlative type. The study's statistical population included all professors and graduate students of sports universities in Tehran (N=1000), among whom 270 individuals were selected using stratified random sampling proportionate to volume. The research tool was a researcher-made questionnaire based on a Value chain model. Also, path analysis was used by Lisrel to design the model. Findings: The results showed that the basic infrastructure of the sports entrepreneurship Value chain directly affected support activities with a path coefficient of 0. 67 and executive activities with a path coefficient of 0. 53 (P<0. 05). Besides, Value chain support activities of sports entrepreneurship directly affected executive activities related to sports entrepreneurship Value chain with a path coefficient of 0. 41 (P<0. 05). Due to the direct and indirect impact of basic infrastructure on organizational activities of the sports entrepreneurship Value chain, the officials of Tehran universities must take appropriate measures to reinforce the essential infrastructure for graduate students of sports sciences in Tehran universities. Originality: This article is valuable and unique because it analyzes the Value chain of Sports Sciences Students in Tehran Universities.

The present study is an attempt to analyze the Value chain of tuna and tuna-like species. The study is intended to show the main loops of tuna and tuna-like species industry along with their relations. Also, the present study indicates the current map of Value chain along with its problem tree for tuna and tuna-like species in Iran. According to test hypothesis, the status of tuna and tuna-like species Value chain is not ideal in Iran. Weak market for various tuna products (lack of variety in the production of canned goods and the non-canned products), low rate of export to Iraq, Afghanistan and Central Asia (high cost, lack of competitiveness and non-flexibility of the rules and regulations for producing products with the preference of exporting countries) and the weakness in the export of the fresh tuna to Japan and the European Union for added Value products (non-compliance with the target countries criteria and the weakness of the transport infrastructure, especially in the air transit) were identified as the main problems. Also, in the present study, the missing and weak factors which reduced the efficiency of the Value chain were identified in forms of the problem trees and ranked by Friedman test. The results of this study showed that the Value chain of tuna and tunalike species suffer from the lack of fair distribution of profit between the Value chain loops, no diversification in the production of Value added products, neglecting the quality in the Value chain and poor access to the export market of Value added products.

Value addition in the poplar wood Value chain has great economic effects on poplar farmers and has a fundamental role in sustainable supplying of required cellulosic materials for industries in long-term. The purpose of this study was to analyze the Value chain of poplar and use the results to improve poplar wood Value chain. In order to determine the poplar Value chain, Porter's Value chain analysis framework was used. The statistical society was consisted of 76 experts to identify poplar wood Value who were active in different parts of the Value chain. Value chain analysis was performed using the location quotient index. With this method, the local economic conditions of poplar wood Value chain were evaluated to the global economic conditions poplar wood Value chain in Iran. With the help of experts and using a questionnaire, important industries that use poplar wood as a raw material were determined. The maximum poplar Value chain location quotient index belonged to Golestan (2.72) and the minimum poplar Value chain location quotient index belonged to Hormozgan (0.24). Golestan, Guilan and Mazandaran provinces with location quotient indexes of 2.72, 2.19 and 2.03, respectively, had the highest location quotient index compared to other provinces. The location quotient index of poplar wood processing in Zanjan, West Azerbaijan, East Azerbaijan and Kurdistan which are major manufacturers of poplar wood, were 0.36, 0.47 0.65 and 0.84, respectively.