INTERNATIONAL CONFERENCE ON MANAGEMENT, TOURISM AND TECHNOLOGY | Year:2021 | دوره:3 |Papers Count:5

The rapid advancement of computing technologies has simplified the implementation of artificial intelligence programs in education. Artificial intelligence in education refers to the use of artificial intelligence technologies or applications in educational environments to facilitate teaching, learning and decision making. With the help of artificial intelligence technology, which simulates human intelligence for inference, judgment, and prediction, computer systems can provide guidance, support, or personal feedback to students, teachers, and policymakers in making decisions. Although artificial intelligence in education is recognized as a research topic in the field of computers and education, its interdisciplinary nature is a unique challenge for researchers in a variety of disciplines. The present basic research has been done using the library method and has a promotional scientific nature. This research presents the definition and role of artificial intelligence research in education from the perspective of educational needs and proposes a framework for expressing considerations for the implementation of artificial intelligence in education in different learning and educational environments. This framework can assist computer science and education researchers in conducting research on artificial intelligence in education. Also, 10 special research topics in the field of artificial intelligence in education are presented to guide future research.

Selecting a supplier is a critical issue that supply chain managers have faced for many years. Selecting a proper supplier is no longer as easy as selecting based on the price they offer. There are many quantitative and qualitative criteria that should be considered. Therefore, an approach is needed to cover these criteria. As supply chains become more important today, it is important to consider the risks of inadequate supply in evaluating suppliers. This paper provides an approach that focuses on data envelopment analysis to analyze and compare the relative efficiency of suppliers. Since data envelopment analysis can only cover quantitative properties, the Analytic Hierarchy Process (AHP) is used to help the qualitative analysis. Risks are also considered in the evaluation of suppliers. The purpose of the proposed approach was to provide a comprehensive approach to address the issue of supplier selection.

Lean manufacturing plays a fundamental role in improving processes and aims to reduce waste and eliminate any worthless activity. Presence in the competitive market has also forced companies to fulfill their customers’ demands as much as possible and at the lowest possible price. Therefore, companies have tried to develop new solutions to improve the quality of the supply chain and reduce their operating costs. The purpose of this study is supply chain management with lean manufacturing in manufacturing industries. The research method is analytical-applied. The findings showed that supply chain management and lean manufacturing in manufacturing industries can be combined with each other and complement beneficial effects of each other. The results show that supply chain management improves flow, reduces changes and reduces the need for inventory and confidence capacity, and lean manufacturing makes manufacturing industries more flexible and profitable, and integrating lean manufacturing and supply chain management has led manufacturing industries to better profitability and flexibility.

The aim of the study is Investigation marketing factors affecting foreign investment. This study was a descriptive survey and the survey instrument was a researcher-made questionnaire. Statistical society was all of expert in commercial room of Iran. Sample size (100 persons) determination is based on the Cochran formula and random sampling method was used. After data gathering, data analysis was performed using SPSS. Results showed that marketing factors has significant effect on foreign investment.

The lack of a tool to measure the branding effectiveness and brand value of a place is felt. The present study helps to promote international relations and public diplomacy in the Sistan region between Iran and Afghanistan by examining and providing quantitative evaluation tools and customer brand purchase. Improving the appropriate level of trade between two or more countries at the international level, first requires measuring the existing value. For this purpose, in this study, a focus group, in-depth interview and a twostage questionnaire are used to develop and validate the tool for measuring the value of market brand sales. Exploratory factor analysis was used on 216 questionnaires and then confirmatory factor analysis was used on 463 questionnaires. The proposed conceptual structure includes four variables: location brand superiority, perception quality, location brand engagement, and brand loyalty.