Today, due to the expansion of organizational competition, the growth of technology, and the increasing demand for customers, organizations that gain a competitive advantage over competitors by adopting scientific strategies can survive. There are various approaches to create a competitive advantage in organizations. On the other hand, in the scientific literature of this field, there is no integrated model that can cover the gap between these approaches. The aim of this paper is to present a new hybrid model for determining organizational competition strategies and criteria through decision-making tools. In this research, brands of dairy products listed in Iran were selected as a case study to demonstrate the application of the methodology. First, competitive strategies were determined through the Delphi method and expert judgment based on the SWOT technique. Then, relying on the SWOT technique, appropriate evaluation criteria were extracted through the fuzzy DEMATEL method. In the next step, each brand was considered as a decision-making unit (DMU). In addition, the output of the fuzzy DEMATEL method formed the initial values (inputs-outputs) of data envelopment analysis (DEA). Finally, after determining DEA weights via analytic network process (ANP), the efficiency of DMUs was measured by the Russell DEA model. The results of DEA showed that based on the strategies of the SWOT technique, 38% of the units under investigation are efficient. Also, the lowest efficiency obtained from the units was 82%, which shows that there is no noticeable dispersion in the efficiency values. In other words, it shows that the performance of all brands of dairy products is at a suitable level. The rest of the results and discussion are presented in detail. Analysis shows that the model of this research can be a suitable model for survival in today’s tight organizational competition in the world. تفاصيل المقالة

This paper evaluates the impact of oil prices on the industry and the total index of the Tehran Stock Exchange. In addition, the impact of oil shocks on the Tehran Stock Exchange is also studied. The analyzed data are the weekly crude oil price data in the industry and the index of the Tehran Stock Exchange during the 10-year period from 2005 to 2015. For data analysis, this paper proposes an appropriate mathematical model based on the non-parametric technique of data envelopment analysis (DEA), which is a powerful mathematical tool for ranking decision-making units (DMUs). Ultimately, we used the proposed model to calculate the efficiency and ranking of 10 companies active in the food and beverage industry (except for the sugar group) and analyzed the results with the CCR model. Following that, the final ranking was done using the weighted average method. According to the results of the research, Mahram Production Group Company was ranked 1st in the weighted average method, and Shir Pegah West Azerbaijan was ranked second, and Nab Industrial Companies, Pars Livestock Feed, Georgian Biscuits, Iran Behnoosh, Pak Dairy, Behpak, Salemeen and Shir Pegah Isfahan ranked 3rd to 10th , respectively. تفاصيل المقالة