• Journal of Digital Convergence
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• v.20 no.4
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• pp.779-790
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• 2022

The purpose of this study was to identify research trends related to nursing informatics competency and to present further directions. This study was scoping review designed and used methodological framework by Arksey and O'Mally. The reviewed study were found through electronic databases and published from January 2000 to December 2021. There were a total of 18 studies that were included in the analysis. The framework is comprised of evaluating the characteristics and the topic of research conducted. Research in regards to nursing informatics competency has increased after 2010, and quantitative research and research with nurses as the primary subject accounted for the majority of the studies performed. Factors that influenced the outcome for the nursing informatics competency were education, position, and key variables were work performance, self-leadership, job satisfaction, nursing work achievements, nursing organizational culture, and working environment. This research is significant that it systematically reviewed the nursing informatics competency and set a direction for further studies. In the further study, it is necessary to reflect changes in the health care system and nursing work environment and it is suggested to develop educational programs to improve nursing informatis competency for nurses and nursing students.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.129-139
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• 2022

This study aims to identify which factors affect successful big data system construction, identify the relationship between the factors, and identify the success model and success factors necessary for public institutions to build big data systems. Therefore, the preceding and related studies related to this study were reviewed, and success factors for the establishment of a big data system were derived based on this. As a research method, a survey was conducted on users of institutions that have established or planned to build a big data system, and a structural equation (AMOS) was conducted to verify the impact relationship between success factors. As a result of the analysis, organizational support factors, development support factors, user support factors, information quality, service quality, system quality, use, and net benefit were derived as success factors for building big data systems, and a success model was presented. This can be seen as significant and academic contributions in that it is the first study of the success model for building an information system reflecting big data characteristics, and it is expected that this study will be used as basic data for building a big data system in public institutions in the future.

• Journal of Energy Engineering
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• v.29 no.1
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• pp.85-99
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• 2020

This article analyzes the influence of sectoral system of innovation(i.e. technological regime, market demand, networks, and institution) on innovative performances(i.e. product-, process-, organizational-, marketing-, and environmental- innovation) in Korean environmental industry, conducting a multiple regression analysis based on survey data from 201 Korean environmental companies. As the results, product innovation is positively influenced by internal technology accumulation and market demand response, while not affected by external knowledge utilization, market competition, networks among market and non-market agents, government support and regulation. Process innovation is positively influenced by internal technology accumulation, networks among non-market agents and regulation, but not by external knowledge utilization, market demand response, market competition, networks among market agents, and government support. While organizational innovation is positively influenced by internal technology accumulation, external knowledge utilization and regulation, it is not affected by market demand response, market competition, networks among market and non-market agents, and government support. While marketing innovation is positively influenced by internal technology accumulation, networks among non-market agents, and government support, it is not affected by external knowledge utilization, market demand response, market competition, networks among market agents, and regulation. Environmental innovation is positively influenced by external knowledge utilization and regulation, but negatively influenced by market competition. It is not affected by internal technology accumulation, market demand response, networks among market and non-market agents, and government support. Such results suggests the following policy implications. First, it is necessary to expand the sphere of relating markets through the application of convergence technology, new regulations, and overseas markets. Second, reinforcing ecosystems among environmental market agents through demand-linked joint R&D should be revitalized. Third, it is needed to strengthen more supporting policies rather than regulation. This article has the limitation of using the survey data. And further researches on the environmental sectoral system of innovation structure itself will be tried.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.469-479
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• 2016

This research is a descriptive investigation research in order to understand the influences on the perception of the patient safety culture and safey nursing activity with the clinical nurses of the university hospitals as the subjects. The data collected were analyzed using the SPSS 23.0 program. As a result, the perception of patient safety culture of the subjects was 3.30 of the full score of 5points, and safety nursing activity 3.89. It appeared that, also, in the safety nursing activity, the total career experience, the position, immediately superior/manager, the communication procedures, and the frequency of accident reports receive the influences. As a result, in order to enhance the safety nursing activity, the developments of the practice guidelines that can appropriately manage the experienced people, that can communicate smoothly between the organizations, and that can make the case reports and the developments of the educational programs are needed.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.123-133
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• 2020

The aim of this study is to scrutinize acceptance intentions of Korean users and influences of information security related factors on mobile payment services based on biometric authentication methods, like finger print authentication or face recognition authentication, by focusing on ApplePay. Unlike previous studies on user acceptance of mobile payment which lack considerations on information security related factors, this study employs the UTAUT with detailed information security factors to create a research model and PLS(Partial Least Squares) method to analyze the model. Based on the analysis, gaining trust on service through company's efforts on information protection, personal characteristics and trust on applied security technologies are important factors to Korean users along with social awareness and service infrastructures. The result of this study would be helpful to companies or organizations, which provide biometric-based mobile payment services, to understand needs of Korean consumers. Based on this study, further analysis is expected to find impacts of user experiences on same company's or competitors' products to acceptance intentions.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.137-143
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• 2019

Fake news is a form of misinformation that has the advantage of rapid spreading of information on media platforms that users interact with, such as social media. There has been a lot of social problems due to the recent increase in fake news. In this paper, we propose a method to detect such false news. Previous research on fake news detection mainly focused on text analysis. This research focuses on a network where social media news spreads, generates qualities with DeepWalk, a network embedding method, and classifies fake news using logistic regression analysis. We conducted an experiment on fake news detection using 211 news on the Internet and 1.2 million news diffusion network data. The results show that the accuracy of false network detection using network embedding is 10.6% higher than that of text analysis. In addition, fake news detection, which combines text analysis and network embedding, does not show an increase in accuracy over network embedding. The results of this study can be effectively applied to the detection of fake news that organizations spread online.

• Korean Journal of Food Science and Technology
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• v.54 no.3
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• pp.288-296
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• 2022

This study aimed to verify the effect of Citrus unshiu peel water extract (CUP) on a mouse model of acute gastritis (AG) induced by HCl/ethanol. Several studies have found that CUP has anti-inflammatory effects. The AG model was induced by oral administration of 150 mM HCl/60% ethanol (550 µL) to all groups except the control group. Also, for drug treatment, sucralfate (10 mg/kg) and CUP (100 or 200 mg/kg) were orally administered for 90 minutes before induction. The effect of CUP treatment was confirmed by gross gastric mucosal damage measurement, and the levels of Glutamic Oxaloacetic Transaminase (GOT), Glutamic Pyruvic Transaminase (GPT), and myeloperoxidase were reduced as well as the levels of oxidative stress biomarkers and their related proteins. In addition, the levels of inflammatory proteins, mediators, and cytokines were significantly downregulated byPI3K/Akt signaling. Taken together, these results show that CUP treatment alleviates AG by regulating PI3K/Akt signaling.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.1
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• pp.177-200
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• 2022

Administrative information datasets are a kind of record produced based on an organization's work performance. A dataset is evidence of the act of recording and contains a lot of information that can be used for work. Datasets have been neglected in Korea's records management system. However, as the law was revised in 2020, the management of administrative information datasets was legislated. Organizations that require management of administrative information datasets have already gradually begun record management. The core of managing administrative information datasets is the preparation of the Management Reference Table for the dataset. Regardless, there is confusion with the Records Management Reference Table for Dataset in institutions that work on records management, and it is difficult to work because the Management Reference Table for Dataset has a new concept. This study looked into the problems in the records management of datasets that appeared at the beginning of work. It isuggests a method to effectively settle records management for datasets. In that way, the Management Reference Table was selected as the research subject, and the problems discussed so far were summarized. In addition, the items of the current Management Reference Table were analyzed. As a result of the study, we have proposed the simplification of items in the Management Reference Table, the reorganization of areas in the Management Reference Table, the introduction of the concept of retention periods, and the preparation process of the Management Reference Table.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.249-259
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• 2018

This research had intended to find out regarding the present influences of the Smart Work on the intention to use continuously with the staff members working in the small- and medium-sized enterprises as the subject. And, finally, it had intended to find out about the Smart Work environments of the IT corporations and the non-IT corporations. For this research, the questionnaire survey data were collected from the staff members working at the small- and medium-sized enterprises. Through the questionnaire survey data that were collected, an empirical analysis was carried out. And, through the reliability analysis, the feasibility analysis, the discriminatory feasibility analysis, and the inspection of the degree of suitableness of the structural equation model, finally, the research model was verified and, finally, a difference analysis of the IT corporations and the non-IT corporations was carried out. Regarding the results of the analysis of the research, it appeared that the factors of the job efficiency and the job autonomy of the special characteristics of the job had the positive influences on the usefulness and the job satisfaction, which were the parameters and which were perceived. And it appeared that the time flexibility of the job form could not have any influences on the usefulness and the job satisfaction, which were the parameters and which were perceived. And it appeared that the spatial flexibility had the influences on the job satisfaction only. The perceived usefulness, which was a parameter, had the positive influences on the job satisfaction and the intention to use continuously. And, finally, the job satisfaction had the positive influences on the intention to use continuously. And it appeared that there were the differences, too, between the IT corporations and the non-IT corporations. It is thought that, through the results of this research and through the Smart Work environment, the positive influences on the workers and the organizations could be induced and that a better working environment than previously can be provided to the workers to fit the special characteristics of the corporations.