Hybridization

Nowadays, according to the increasing trend of environmental changes and developments, organizations and companies need different strategic entrepreneurship models to respond effectively to their environmental needs. Therefore, this article is trying to systematically examine the findings of the studies conducted in this regard by using the meta-combination method and analyzing them based on the formation process and the output achievement. For this purpose, by referring to the reliable documents and documents available on the sites and checking the information from English sources from 2000 to 2019 and Persian from 2001 to 2019, among the mass of primary articles, 88 articles related to the research topic were identified. In order to analyze the selected articles, constituent concepts, and influential components, the content analysis method was used, and to validate the extracted concepts, the Delphi panel method was used with the presence of 8 experts. At the end of the research findings in the form of 5 components (leadership, attitude, resources, opportunism, and innovative learning), 10 sub-components (individual characteristics, management characteristics, organizational, cultural, social, financial, non-financial, the path of discovery and creation, exploitation, education and creativity and innovation) and 49 concepts were identified and classified. Also, the rank and importance of experts' opinions about the components of strategic entrepreneurship are in the order of leadership characteristics, opportunism, innovative learning, attitude, and resources.

In this article, we will examine the financial issues related to multi-period routing and positioning and the related costs, and we will examine the related limitations. These decisions are made about location allocation, inventory and routing in a three-tier supply chain, including suppliers, warehouses and customers. We are looking for new ways to make location and routing decisions simultaneously and efficiently. In order to maximize the search space and achieve optimal results, exploratory and meta-heuristic methods have been used. The meta-heuristic technique is usually used to increase the performance of the hybrid technique. Therefore, this paper provides an overview of meta-heuristic methods and their combination to solve problems. It also examines the advantages and disadvantages of the proposed methods to solve these problems in order to provide more efficient methods.