درخت حوزه‌های تخصصی

The purpose of this Study study is to identify and rank the development drivers of knowledge-based, technology-driven businesses. This work is conducted as a case study in Fars Province Science and Technology Park. It is a descriptive survey in terms of purpose since a part of its data is collected through questionnaires and is of surveying type because it describes the existing conditions. The population of the study includes all the knowledge-based, technology-driven companies located in the mentioned Science and Technology Park. At the stage of identifying the drivers, 201 employees were randomly assigned by stratified sampling. For the prioritization of these drivers, 30 of the senior managers of those companies were deliberately consulted and the collected data were analyzed using exploratory and confirmatory factor analysis as well as fuzzy hierarchy process analysis. The findings showed 37 drivers in five economic and legal, marketing and foreign relations, technological, cultural and human relationships and, ultimately, structural and informational dimensions. Drivers of communication with the world market, the world web as a factor for enhancing the world knowledge and a means for knowledge-driven development; ease of access to the technology and technical consulting; ease of access to the suppliers and providing public subsidies to knowledge-based companies while taking note of regional policy were considered as the most important drivers in the development of knowledge-based, technology-driven companies. Also, the dimensions of marketing and foreign relations, technological, economic and legal dimensions were identified as the most important dimensions respectively.

Since a large number of the oil and gas projects are related to the supply chain, the selection of contractors and suppliers is very important. In projects, a contractor is obliged to supply the goods from suppliers and manufacturers approved by the clients, while most companies in Iran, including the company surveyed in this research, i.e. Iranian Offshore Engineering and Construction Company (IOEC, do not have a scientific approach to this issue). The main objective of this research is providing a scientific and practical approach to ranking suppliers and contractors at IOEC and selecting the best ones. In order to achieve such an objective, an integrated model of Swing and TOPSIS methods with fuzzy approach has been designed and applied to a real case. The actual data used are obtained from the post-lay survey of the exports and infield pipelines of South Pars development phases 13, 14, and 22. <strong>Keywords</strong>: Supplier Selection, multi attribute decision making (MADM), Oil and Gas, IOEC, Swing, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Fuzzy, Pipelines

In order to analyze the labor market through search and matching theory, we need deep parameters namely, rate of inflow to the unemployment pool and job-finding rate. In other words, these rates are primary parameters of matching function; hence, estimating these parameters is an essential step for the use of search and matching theory in every economy. In this paper, we estimate these rates of Iran’s economy using Simulated Method of Moments (SMM) as a baseline for future studies in this framework. We use the unemployment rate and the number of unemployed workers which were unemployed less than one month. We find estimates of around 0.1 and 0.32 for rate of inflow to unemployment and job-finding rate, respectively, which are lower than the amounts estimated for the United States and other developed countries. This is a sign of some labor market irregularities in Iran economy. For example, it shows that the probability of experiencing long-term unemployment/employment by unemployed/employed ones is high because of lower job-finding and inflow to unemployment rates.