In the establishment of procedures for managing spent fuel, the development of an information system for data management is an indispensable prerequisite. Given the prolonged period of spent nuclear fuel management, marked by numerous personnel changes and the anticipation of vast data retention, addressing this matter appropriately is imperative, particularly in the specialized field of spent nuclear fuel operations. Recognizing the need for a method to mitigate these challenges, we endeavored to apply semantic technology to the information system. To achieve this, we constructed the ontology of spent nuclear fuel and conducted research to transform it into a relational database. As a result, the information system, developed by the application of semantic technology, has attained the capability to comprehend and perceive relationships among information itself. Through this research, the system not only addresses previously identified concerns but also enhances its versatility, enabling it to perform functions previously unattainable within existing information systems.

By Foreign Trade Act and the relevant laws, any organization which intends to export strategic items shall be classified whether the products, S/W, or technology are strategic items and obtain an export license from the Nuclear Safety and Security Commission (NSSC) in case those are nuclearrelated strategic items. The NSSC and KINAC conduct outreach activities to enhance the recognition and implementation of nuclear export and import control. However, ensuring that all target organizations identify and comply with relevant legislation and laws is difficult. Therefore, the government and regulators should continuously make efforts to reduce blind spots for nuclear export and import control. KINAC established the National Nuclear Technology Information Collection and Analysis System (NNTICAS) to find nuclear-related companies through online website information of various companies and to list organizations that handle nuclear-related strategic items. Based on the NICE corporate information website, NNTICAS finds related companies using dynamic collection methods through interactions such as search word input, search button input, check box click, and collected text from each company website using static collection methods through URL address access and HTML source code extraction. After that, the text contained on the company website is analyzed to check whether the predefined normalized word is included, and if the normalized word appears at a certain number or higher, it is judged as a potential target company dealing with nuclearrelated strategic items. Information on the potential target company is compared with the export controlled item list and finally classified as a target company dealing with nuclear-related strategic items. According to the comparison a manually analyzed result of potential target companies and finally selected target companies NNTICAS, it is confirmed that predefined normalized words need to be more detailed, and a controlled item list such as axes (0B001.b.2) needs to be additionally processed. In addition, if the collection is repeated without completing the previous classification of the collected corporate information, it is also possible to collect companies in cosmetics, semiconductors, and displays. Although it was confirmed that some supplementation is needed to use this system to select target companies for the outreach activity, it is also confirmed that target companies for outreach activity can be expanded through this system and is expected to increase the implementation rate and reduce the blind spot for nuclear export and import control.

This paper reviewed the relationship between information technology system and knowledge management activities, and the moderating effect of industrial type. The results of multiple regression analysis, based on the responses from 219 employees in manufacturing and financing service sector, showed that information technology infrastructure and information technology usage have positive effects on knowledge acquisition, knowledge transfer, and knowledge usage. In moderating effects, information technology infrastructure more positively related with knowledge acquisition in financing service sector than in manufacturing sector. And also information technology usage more positively related with knowledge transfer in financing service sector than in manufacturing sector.

This study aims to understand the determinant of the employee’s intention to use information system within the framework of the Technology Acceptance Model (TAM) and Information System Success Model (ISSM). This paper also aims to examine the influence of ISSM dimension on the perceived usefulness and the perceived ease of use. The research respondents were 248 employees of Universitas Negeri Semarang (UNNES) who are users of the Financial Information System (SIKEU). Data was obtained using a questionnaire that was distributed online via Google form. The data analysis method used is Structural Equation Model (SEM) analysis using the Warp-PLS software. The results showed that the dimensions of TAM (perceived ease of use and perceived usefulness) had a positive and significant influence on the employee’s intention to use SIKEU. The ISSM dimension (system quality and information quality) also had a significant influence, although other ISSM dimensions (service quality) had not been proven to have a significant influence on the employee’s intention to use SIKEU. Moreover, the results showed that the employee’s intention to use is a determinant of SIKEU’s actual usage. Perceived ease of use was significantly determined by system quality, information quality, and service quality. In addition, the perceived usefulness was significantly determined by system quality and information quality.

The aim of this study is to examine of the cluster approach to ensure high rates of innovation, information and communication enterprises of information technology cluster in order to enhance the competitiveness of regions. Keeping with the previous literature, the present research determined that the novelty of the problem, concerning of the creation IT clusters as drivers of new generation, i.e. a kind of platform of "startup accelerators" through the creation of previously not existing in the country high-tech industries and sectors of the economy. The study employs system approach involves to determine prospective directions of the formation of clusters of IT industry, also applies structured approach to shows relationships between elements of cluster systems (participants of cluster), as well as focusing on some aspects of cluster development such as networking. Based on this analysis we have proposed to create clusters in regions, which can play the role of translator’s innovations at the periphery of the country. This research shows that formation of IT clusters is one of the most successful tools to avoid of dependence of Kazakhstan from raw materials.