Maryam Moghadami; Aziz Hedayati khoshemehr; Hajar Mohammadi; Athareh Naghdinejad
Abstract
This study aims to investigate the scientific production of artificial intelligence in the management and crisis of Covid 19. It is of the scientometric type which has been done by co-occurrence analysis of words. The research population consists of 2,816 documents in the field of "artificial intelligence ...
Read More
This study aims to investigate the scientific production of artificial intelligence in the management and crisis of Covid 19. It is of the scientometric type which has been done by co-occurrence analysis of words. The research population consists of 2,816 documents in the field of "artificial intelligence during the Covid-19 pandemic" indexed in the Scopus database. VOSviewer software has been used to draw scientific maps. A total of 2816 documents in the field of artificial intelligence and corona pandemic have been indexed by researchers all over the world in the Scopus database, of which 64.5% were in the form of scientific research articles. 18% of scientific products are related to medicine and 16.9% are related to computer science. The United States, China, and India are ranked first to third respectively. Iran is also ranked 17th out of 20 countries active in the field of artificial intelligence and Covid-19 such as Taiwan, Malaysia, South Korea, and Macau. Active authors in this field are Chou k.c, Hassanien A.E, and Ivano. D. The highest production in this field belongs to the United States, China, and India, respectively. The United States and China, as prominent and successful examples of the use of artificial intelligence in the management of Covid-19 disease, can be a model for other countries in overcoming this crisis.
Maryam Moghadami; Mila Malekolkalami
Abstract
Purpose: The purpose of this study is to investigate the general characteristics (technical dimension, access and communication, and participation) and the general characteristics of the data set of Iran's open data portals.Method: This is a descriptive survey study. A questionnaire with 28 criteria ...
Read More
Purpose: The purpose of this study is to investigate the general characteristics (technical dimension, access and communication, and participation) and the general characteristics of the data set of Iran's open data portals.Method: This is a descriptive survey study. A questionnaire with 28 criteria distributed among 30 Ph.D. students in Information Systems is based on the framework used in the research of Renata Máchová1 and Martin Lněnička.Findings: The average score of the general characteristics of the open data portal with 33.22 is higher than the general characteristics of the data set with an average score of 24.87. The overall score of the quality of components of Iranian open data portals is 91.29. The highest score obtained among the portals is related to Iran's open data portal (108.1).Conclusion: The results of comparing the average quality of Iran's open data portals show that the quality of these collections is at a low level. Comparing the average score of the quality of Iran's open data portals (108.1) with the three leading countries in the field of open data included Britain, India, and the United States (higher than 124) shows that Iran is not in a favorable position. It is necessary to pay attention to policy in the field of open data quality.
Knowledge management
Maryam Moghadami; Mila Malekolkalami; Hassan Mantegh
Abstract
Purpose: This article has been prepared and compiled with the aim of identifying and determining the application of knowledge management criteria in the portals of eight science and technology parks in Tehran province.Method: This research was a descriptive survey. Data were collected based on a checklist ...
Read More
Purpose: This article has been prepared and compiled with the aim of identifying and determining the application of knowledge management criteria in the portals of eight science and technology parks in Tehran province.Method: This research was a descriptive survey. Data were collected based on a checklist based on the model of availability, creation, and transfer of knowledge. The statistical population of this study includes the website of eight science and technology parks in Tehran province.Results: The level of application of knowledge management criteria on the website of science and technology parks is an unfavorable situation. Among the components of knowledge management, the component of knowledge creation with the lowest average compared to the component of knowledge transfer and availability needs to be fundamentally reviewed.Conclusion: The results showed that knowledge management criteria in these websites are not used properly. To eliminate this shortcoming and fill the gap in the current situation, the designers of science and technology parks websites should include the knowledge management approach among the main strategies of the park programs under their management.Keywords: Science and technology parks, knowledge management, portals, knowledge creation