• International Journal of Computer Science & Network Security
• /
• v.21 no.2
• /
• pp.212-220
• /
• 2021

The objectives of this research were to identify the digital competencies required for information science specialists at Saudi universities and to examine whether there existed conspicuous differences in the standpoint of these specialists due to years of work experience with regard to the importance of these competencies. A descriptive analytical method was used to accomplish these objectives while extracting the required digital competency list and ascertaining its importance. The research sample comprised 24 experts in the field of information science from several universities in the Kingdom of Saudi Arabia. The participants in the sample were asked to complete a questionnaire prepared to acquire the pertinent data in the period between January 5, 2021 and January 20, 2021. The results reveal that the digital competencies required for information science specialists at Saudi universities encompass general features such as the ability to use computer, Internet, Web2, Web3, and smartphone applications, digital learning resource development, data processing (big data) and its sharing via the Internet, system analysis, dealing with multiple electronic indexing applications and learning management systems and its features, using electronic bibliographic control tools, artificial intelligence tools, cybersecurity system maintenance, ability to comprehend and use different programming languages, simulation, and augmented reality applications, and knowledge and skills for 3D printing. Furthermore, no statistically significant differences were observed between the mean ranks of scores of specialists with less than 10 years of practical experience and those with practical experience of 10 years or more with regard to conferring importance to digital competencies.

• Journal of Internet of Things and Convergence
• /
• v.8 no.3
• /
• pp.69-74
• /
• 2022

Big data related analysis techniques, the prescriptive analytics methodology improves the performance of passive learning models by ensuring that active learning secures high-quality learning data. Prescriptive analytics is a performance maximizing process by enhancing the machine learning models and optimizing systems through active learning to secure high-quality learning data. It is the best subscription value analysis that constructs the expensive category data efficiently. To expand the value of data by collecting research field, research propensity, and research activity information, customized researcher through prescriptive analysis such as predicting the situation at the time of execution after data pre-processing, deriving viable alternatives, and examining the validity of alternatives according to changes in the situation Provides research information service.

• The KIPS Transactions:PartD
• /
• v.9D no.3
• /
• pp.467-476
• /
• 2002

Importance of Information Systems in banking industry is higher than that of other industries. This study, based on a case study of a bank, analyzes the current status of information systems (IS) audit and proposes future directions in the area of IS control and audit. Major problems identified in the study include deficiency of IS and audit process, and inability of audit function to improve IS process. In addition, deficiency of staffing level and investment in R&D, and lack of competency and independence of audit staff are identified. In order to solve the problems, the following directions were proposed proper division of functions among audit related departments, utilization of outside audit function, and adoption of CSA, CAAT, career path program, risk-based audit approach. The results of the studs will provide valuable implications to banks and companies in other industries. Also the research framework employed in the study can be utilized in the future research in IS control and audit.

• KIPS Transactions on Computer and Communication Systems
• /
• v.5 no.6
• /
• pp.143-152
• /
• 2016

Currently many central administrative agencies, municipalities and public and private institutions operate Managed security services to cope with cyber security incidents. These entities exert efforts in operating efficiencies rather than introduction of services as they used to. Accordingly, quite a few policies, directions and guidelines have been established for stable operation of Managed security services. Still, Managed security is operated by individuals, whose competencies influence the quality of Managed security services to a great extent. In this respect, the present article examines Managed security technology and methods and describes evaluation methods and examples relevant to human competencies, so as to seek for some potential courses for further development as well as more efficient approaches to human resource management in terms of institutional Managed security services.

• Journal of Information Technology Services
• /
• v.21 no.2
• /
• pp.61-84
• /
• 2022

With the recent application of deep learning to Natural Language Processing (NLP), the performance of NLP has improved significantly and NLP is emerging as a core competency of organizations. However, when encountering NLP use cases that are sporadically reported through various online and offline channels, it is often difficult to come up with a big picture of how to understand and interpret them or how to connect them to business. This study presents a framework for systematically analyzing NLP use cases, considering the characteristics of NLP techniques applicable to almost all industries and business functions, environmental changes in the era of the Fourth Industrial Revolution, and the effectiveness of adopting NLP reflecting all business functional areas. Through solving research questions based on the framework, the usefulness of it is validated. First, by accumulating NLP use cases and pivoting them around the business function dimension, we derive how NLP techniques are used in each business functional area. Next, by synthesizing related surveys and reports to the accumulated use cases, we draw implications for each business function and major NLP techniques. This work promotes the creation of innovative business scenarios and provides multilateral implications for the adoption of NLP by systematically viewing NLP techniques, industries, and business functional areas. The use case analysis framework proposed in this study presents a new perspective for research on new technology use cases. It also helps explore strategies that can dramatically improve organizational performance through a holistic approach that encompasses all business functional areas.

• Journal of the Korean Applied Science and Technology
• /
• v.37 no.5
• /
• pp.1409-1417
• /
• 2020

The purpose is to increase the likelihood of physical education students for employment in public institutions by examining the priority for hiring sports-related public institutions. The subject of the study was purposeful sampling of a total of 11 persons including 4 sports professors, 3 NCS experts in sports field, 2 judges from public sports institutions, and 2 personnel in charge of hiring public institutions. Through this process, from January 3 to March 12, 2020, the importance of priority was analyzed using hierarchical structure analysis using the main factors of NCS vocational basic competency. All data are coded so that statistical processing can be performed. Using SPSS/PC (ver. 21.0) for Windows, the hierarchical structure analysis was used for frequency analysis and priority determination. First, communication skills (.231), organizational comprehension skills (.177), resource management skills (.128), interpersonal skills (.110), vocational ethics (.082), problems in the major areas of recruitment of sports-related public institutions Solving ability (.061), information ability (.056), mathematical ability (.054), self-development ability (.052), and description ability (.049) were analyzed in order. Second, in terms of evaluation items, communication is communication skills (.442), mathematical skills are basic computation skills (.512), problem solving skills are thinking skills (.722), self-development skills are self-management skills (.587), Resource management ability was analyzed in order of time management ability (.531), interpersonal relationship ability as teamwork ability (.382), information ability in computer use ability (.677), technical ability in technology understanding ability (.599).

• Journal of the Korean Society for information Management
• /
• v.24 no.1 s.63
• /
• pp.31-53
• /
• 2007

This paper presents a model of Task-Ontology for small unit operations(SUO) such as nongovernment organizations Despite the rapid development and extension of NGO in domestic area, most have insufficient structural domain resources in existence and underestimate the importance of information management. To improve the citizen's participation and to activate the conjoint actions among the NGO, which are critical to its social role-playing in global society, the modeling Task-Ontology is ultimately intended to implement the knowledge management system of NGO. In the perspective of ontology competency, not only the analysis of resources in vary, but also in-depth Interviews with the NGO practicing personnels and subject experts, and also the intensive observations of task-processing are required for the knowledge acquisition.

• 한국정보교육학회:학술대회논문집
• /
• 2021.08a
• /
• pp.59-67
• /
• 2021

The development of AI technology has brought about a big change in our lives. As AI's influence grows from life to society to the economy, the importance of education on AI and data is also growing. In particular, the OECD Education Research Report and various domestic information and curriculum studies address data literacy and present it as an essential competency. Looking at domestic and international studies, one can see that the definition of data literacy differs in its specific content and scope from researchers to researchers. Thus, the definition of major research related to data literacy was analyzed from various angles and derived from various angles. In key studies, Word2vec natural language processing methods, along with word frequency analysis used to define data literacy, are used to analyze semantic similarities and nominate them based on content elements of curriculum research to derive the definition of 'understanding and using data to process information'. Based on the definition of data literacy derived from this study, we hope that the contents will be revised and supplemented, and more research will be conducted to provide a good foundation for educational research that develops students' future capabilities.

• Journal of Korean Academy of Nursing Administration
• /
• v.7 no.2
• /
• pp.301-314
• /
• 2001

The main purpose of this research is to describe comprehensively the processes of clinical decision making in novice critical care nurses through clinical experience. This research was an exploratory, longitudinal study using a fieldwork approach incorporating "think-aloud" method and in-depth interviews with the study participants. The study participants consisted of 5 novice nurses assigned to critical care units at a tertiary medical center located in Seoul, among a group of 27 novice nurses who started at the same period at this hospital. The data were collected from March 1999 to April 2000. The major findings of the study is that the novice nurses followed the analytic linear model of clinical decision making in the beginning, but were changed increasingly to follow the comprehensive, integrated model of clinical decision making. Through repeated experience that resulted in increasing repertoire of clinical schema and familiarity of task environments of clinical practice the novice nurses expanded their ability to arrive at comprehensive integration of information and to arrive at accurate and time-efficient decisions. Both the analytic, linear model mostly used at the beginning period and the comprehensive, integrated model that seems to be the mode significantly dependent upon experience seem to have strengths and weaknesses as decision making processes in clinical situations. Hence, it is imperative to develop an effective orientation and training program for novice nurses through the use of clinical preceptors. In addition, students should be exposed to the process of clinical decision making early in their nursing education through an appropriate clinical experiences and clinical assignments.

• Human Ecology Research
• /
• v.55 no.5
• /
• pp.491-505
• /
• 2017

This study investigated the development and core mechanism of subitizing in children and adults as well as provides related theoretical and practical discussions. This study was conducted to determine if subitizing changed with the age of participants and if there were differences in subitizing according to the spacing, color, and shape of the stimuli. The subitizing task set (including forty main trials) was prepared. Forty-five children (fifteen each in groups of 3, 4, and 5-year-olds) and fifteen adults were recruited to perform the subitizing tasks. The results demonstrated that the subitizing speed and accuracy of children improved abruptly between age 3 and age 4. Furthermore, there were significant differences in children's subitizing speed according to the spacing and color of the objects. The children's response time decreased when the objects were fully apart or were of diverse colors. In addition, there were partial significant differences in the subitizing speed of children related to the shape of the objects. The subitizing speed of children decreased in a condition (subitizing 5 objects of diverse colors in fixed spacing) when the shapes of the objects were diverse. The subitizing speed of adults only differed according to the space of the objects. The results demonstrate the development of subitizing in early childhood along with the presence of object individuation processing stages underlying subitizing. This study also provides practical information and suggestions for educational curricula that can strengthen the competency of children in systematic and diverse activities.