fuzzy cognitive mapping method

Smart technologies have brought changes in the supply chain. This study was conducted with the aim of investigating the impact of the Internet of Things on the intelligent management of the supply chain, which evaluates the relationships between variables and their impact and effectiveness with the fuzzy cognitive mapping method. The statistical population is academic experts and active experts in the drug distribution company in Bushehr province. After identifying the components from the background of the research, an interview was conducted. Then the questionnaire was presented to 10 experts and experts and it was analyzed in several stages, and finally, the main factors of the use of Internet of Things in the supply chain were determined in 9 categories of criteria and 41 sub-criteria. The criteria include: intelligent management of inventory and warehousing, intelligent management of operations, intelligent management of information, intelligent management of products, intelligent management of costs, intelligent management of corporate productivity, intelligent management of customers and drug suppliers, intelligent management of sales and marketing, and intelligent management of the environment.The results showed that intelligent information management was obtained as the most important indicator; Because it affects all indicators. intelligent management of customers, intelligent management of sales and marketing, and intelligent management of operations are the second most influential. Therefore, managers of the drug distribution industry should use Internet of Things technology to intelligently manage information in their organization, improve relationships with customers, improve operations and focus on the sales process, and optimize supply chain processes and profitability.

Innovation is the key in order to solve the problems of many cities in the contemporary world. Nowadays, the growth of innovation between cities is considered to be the determining factor in increasing competitiveness and growth, which occurs in the context of urban innovation systems. Cities need a proper understanding of the dimensions, factors and issues of the urban innovation system in order to increase innovation and accelerate the dissemination and application of it. In this research, issues of Tehran metropolitan innovation system are recognized as three groups of factors , based on theoretical foundations and using the Real-Time Delphi method ; 1) Innovation infrastructures ; 2) Innovation interactions and Networks; and 3) Innovative policy-making and then ,degree of effectiveness, centrality and effectiveness of each factor on improving the innovation system of Tehran metropolis have been measured by fuzzy cognitive mapping method. Finally , results of the research indicate that issues related to innovation infrastructure are more important than the other two aspects, that the lack of large technological and innovative companies and the lack of research and development institutions are more critical .However, the weakness of financial policy-making that promotes urban innovation is ranked first, issues related to urban innovation infrastructures in overall Tehran metropolitan innovation system are stronger than other dimensions.