پژوهشنامه بازرگانی
پیاپی 82 (بهار 1396)

As regards the commercialization of research one of the main mission’s universities has been accepted in addition to education and research, present research was performed with the aim of developing a comprehensive model for the commercialization of university research. To answer the research question, the literature of subject reviewed with exploratory and comparative approach and the most important factors were recognized that affecting the commercialization of research. Then, using the Tri-Category theory (3Cs), each of the factors based on the characteristics of the three categories; context, co-structural and content classified and conceptual framework was developed. The conceptual framework is validated by collecting empirical data and structural equation modeling method. Based on the study findings and the values of the path coefficients in the final research model, the context factors 34/4 percent, 21.5 percent and structural 34/7 Percentage change of variable commercialize directly explain. Also, context variable is effective indirectly through mediator structural factors of 14/8 and through the mediating variable on the dependent variable commercialization of content at a rate of 16/7 percent. Calculation and analysis of fitness indicators using Smart-PLS software, confirmed adaptation of conceptual framework and empirical data.

The acceptance and successful implementation of ideas and green initiatives in business activities in the supply chain to maintain the landscape it is simply not available.All products and activities in green supply chain face different risks.These risks and resources, they can disrupt the smooth green supply chain activities. Therefore, risk management and reduce the complexity of the green supply chain is very important.In the present study to explain the model to identify important risks in the supply chain is green. Size model of green supply chain is no literature review that was confirmed by confirmatory factor analysis. The main risks include the risk of technical production, supply risk, product recovery risk, credit risk, demand risk , government and enterprise risk. In the present study to determine the importance of each aspect of the model, according to industry experts and university professors and also non-linear modeling fuzzy. The results of mathematical modeling showed that the risk of production - is technical in the first place.

Corporate sustainability is one of the novel and growing concept which emphasizes on multidimensional aspects. Food industry is one of the strategic industries in Iran and its sustainability is significant due to its strong role in employment, food safety and export. Thus, this research deals with explaining factors and concept of sustainability measurement and also the affecting factors on its notion and evaluation. In this research which was conducted in 2015, after the literature review, factors and corporate sustainability indicators were identified. Lean supply chain and green supply chain were identified as two effective factors.
Eighty four indicators are among six main factors for three concepts of corporate sustainability, Lean supply chain and green supply chain. Evaluated by 35 food industry experts, these measurements were reduced to 70 indicators using t test. Indicator's credibility was confirmed by 35 random food industries. Result indicates triple indicators which are reliable and valid for Iran medium-sized food industry.

Increase in the complexity of non-oil export to achieve higher economic growth rate is very significant. There has not been any research and study regarding the measurement of complexity of non-oil trade index within the country and the only research is done by Harvard university researchers and MTI which the results are not consistent with the export division facts in Iran and international organizations studies. In this study, it is attempted to first calculate the amount of complexity of country’s non-oil export and analyze it comparing to its global trend and then to identify key drivers of non-oil export complexities in the country. To do this the statistics of non-oil export from 146 countries with three digits SITC code s detachments during 1996-2014 has been taken into consideration. The finding were not consistent with research studies of world economic complexities atlas and clearly express the fact that during recent years the amount of non-oil export complexities has increased by 3.5 percent annually. The other point is that almost 90 percent of export complexity annual growth rate is based on process industries development (With Medium technology). This refers to the fact quantitative increase in non-oil export is due to Industries reliant on normal comparative advantage. Decent understanding of changes, helps managers and governmental authorities to set appropriate policies to increase the complexity of reliant export on comparative advantage such as having educated work force.

The present research surveys the validity of BPCG model in Iran for the period (1357-1393). The income elasticity of demand for imports using the ARDL model was estimated in long run. The average of BPCG rate, the average of actual growth rate, the average of real non-oil export growth rate, and the average of real oil export growth rate were computed for a series of 10-year overlapping periods. The result indicates, if the period of the study is divided by two periods: In the first period, the average of BPCG rate was greater than the average of actual growth rate. It was caused by the excess of average of real non-oil export growth rate over the average of real oil export rate. In the second period, the average of BPCG rate and the average of actual growth rate were reduced and in some decades were negative. It could be as a result of lessening of the average of real non-oil export growth rate than the average of real oil export growth rate. In the second period compared with the first period, the differential of the average of BPCG rate and the average of actual growth rate was less and they were close to each other, validating BPCG model. Considering the model along with the other economic policies such as resistance economy could affect on sustainable economic growth and going out of recession. The results of this research are constant with the findings of the study of Khasawneh and et al.

The lower rate of the trade and nontrade barriers inside a country compared with the international scale makes the establishment of the law of one price possible and increases the probability of price convergence in that country. However, the price convergence can be influenced by climatical, geographical, economical and… conditions so that, as time passes, the price will not be consistent in different locations of the same country and the convergence of prices will not be possible in those locations. The present study examines the factors influencing the convergence of prices among Iran’s provinces during years 2007: 4-2014:3. In the first step for achieving this purpose, the convergence of prices among various provinces was examined by using pairwise approach of Pesaran (2007). The results indicate that the null hypothesis of no convergence is rejected, but also that a substantial portion of price levels fail to converge. For studying the factors which influence the convergence of prices the Probit model was used. The results indicated that the convergence probability is influenced by the growth rate of the per capita income so that with different growth rates of per capita income, the convergence in Iran’s provinces is unlikely during the examined period.

This paper propose a solution method for assigning limited liquidity to contractors based on the project priorities which is one of the current issues in project liquidity management. The aim of this research is to introduce an approach to resolve the problems of public contractors in assigning resources to oil and gas projects. In this paper, first the effecting indices on contractor's performance are determined by Fuzzy AHP method. Then, the importance weights of the related criteria are calculated and the final scores of the contractors are found by TOPSIS technique based on the indices. Afterwards, the contractors are ranked. At the end, the method of assigning limited liquidity to the contractors is introduced using a heuristic algorithm. The actual data of a public contractor in oil and gas industry are used to illustrate the proposed procedure. Finally, the results and suggestions for further improvement are shown.