Abstract

The advancement of information and communication technologies demands the employment of cutting-edge technological tools in many sectors, including higher education. These tools assist managers in performing their management tasks more effectively and in continuing their operations by enabling them to make informed judgments. Among these tools, business intelligence technology has risen to prominence in recent years as a critical strategic management tool. Feeding from many different systems, BI is a digital tool that can be used at different decision levels at the operational, tactical, and strategic levels. It may be used to organize and monitor scientific research, as well as to track its efficacy over time. Bibliometric data can be an important source for this important technology at this point. The study examines the province's, Iran's, and Turkey's scientific productivity between 2010 and 2020 using bibliometric data from Web of Science. A decision support system is modeled in order to make this query more effective and parametric for decision-makers. The scientific productivity of the two countries is analyzed at the macro level through the relevant bibliometric data source, and at the micro level, the publications jointly produced by the researchers in the two countries are detailed in the research areas, researchers, institutions, works produced and citations received, journals published together, funds. Scientific production is measured in terms of institutions, regional location, and collaboration with other nations. The two nations collaborated on 6.723 publications over the relevant time (5.915 articles). Although both countries are neighbors to each other, they are in eighth place in the list of collaborating countries in terms of research intensity. Among the countries with the most intense cooperation for both countries are the USA and England. The top three institutions working together most intensively in both countries are Islamic Azad University, Middle East Technical University, and Istanbul Technical University. Physics, engineering, chemistry, mathematics, and material science are the most intensely collaborative research areas. The developed model is seen as a valuable tool for university library services or scientific productivity monitoring, which is different from packaged software, and provides the opportunity to go into detail, for the evaluation of scientific productivity at the level of countries.

Keywords

Iran, Turkey, collaboration, scientific productivity, business intelligence, bibliometric data management

References