• Journal of Digital Convergence
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• v.19 no.2
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• pp.231-238
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• 2021

SNS data can catch the user's thoughts and actions. And the trend of the search portal is a representative service that can observe the interests of users and their changes. In this paper, the relationship was analyzed by comparing statistics on narcotics incidents and the degree of exposure to narcotics related words in tweets of SNS and in the trends of search portal. It was confirmed that the trend of SNS and search portal trends was the same in the statistics of the prosecution office with a certain time difference.In addition, cluster analysis was performed to understand the meaning of tweets in which narcotics related words were mentioned. In the 50,000 tweets collected in January 2020, it was possible to find meaning related to the sale of actual drugs. Therefore, through SNS monitoring alone it is possible to monitor narcotics-related incidents and to find specific sales or purchase-related information, and this can be used in the investigation process. In the future, it is expected that crime monitoring and prediction systems can be proposed as related crime analysis may be possible not only with text but also images.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.183-193
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• 2020

This study attempts to interpret the causes of offshoring and reshoring, find out facilitating factors and the areas where these happen mainly. In viewpoint of self-organization phenomena, the theory of prospect, quantitative analysis is performed by utilizing actual data of American Reshoring Association. This study shows that offshoring to the U.S. is positively correlated with market power in the U.S. and innovation of investment countries, while reshoring to U.S. is positively correlated with market power in the U.S. not with technology innovation. The reshoring of U.S. companies is influencing offshoring to U.S, emerging countries such as Asia tends to focus offshoring in short catch up cycle area like IT. This study is expected to contribute to investment support policy and decision for optimal production site. Further study will complete the economic benefit assessment model by reinforcing the impact factors of reshoring and offshoring.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.117-125
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• 2020

In this paper, we wanted to look at the effects of person-organization fit and person-job fit of social welfare officials on the job enthusiasm, but also examine the mediated effect of organizational committment. The study found that person-job fit has a positive effect on the job enthusiasm of public officials in charge of social welfare, and that the mediating effect of organizational committment is also partially covered. However, person-organization fit does not have a direct impact on job enthusiasm, but has been shown to have a full mediated effect through organizational committment. As a result of these studies, social welfare officials are judged to lack consistency and affinity within the organization, while their individual abilities, purposes, and demands are in line with their duties and job enthusiasm for their duties. Therefore, it is necessary to provide support at the organizational level and to create a sense of unity in order to enhance the job enthusiasm of public officials in charge of social welfare.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.237-243
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• 2021

This study was attempted to identify the difference between nursing competencies and major satisfaction before and after the first clinical practice of nursing college students and use it as basic data for efficient clinical practice education. Data collection by single group pre- and post-design was conducted from February 18 to April 23, 2019 for 201 nursing college students before and after clinical practice for 8 weeks. The collected data were analyzed by frequency, paried t-test, and Pearson's Correlation, Multiple Regression using SPSS/Win 23.0. As a result of the study, Nursing competency increased after the first clinical practice than before, but it was not significant(t=-1.73, p=.084). Among the sub-factors of nursing competency, educational ability(t=-1.97, p=.050) and ethical practical ability(t=-209, p=.038) was found to increase significantly. Major satisfaction was significantly increased after clinical practice than before(t=-2.45, p=.015). After clinical practice, it was found that general satisfaction, relationship satisfaction, and recognition satisfaction which are sub-factors of major satisfaction, had a positive correlation with nursing competency. As a result of analyzing the impact on nursing competency, it was found that recognition satisfaction explains nursing competency as 9.9%. Therefore, it is necessary to reorganize the clinical practice curriculum that can improve nursing competency, develop a program that can improve major satisfaction, and verify the effectiveness.

• Journal of Internet of Things and Convergence
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• v.7 no.1
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• pp.43-54
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• 2021

Purpose: The purpose of this study was to construct a protocol for the prevention of suicide in male baby boomers. Methods: In order to construct the protocol, a three-step expert consensus process was carried out. The first step was to compose questions based on various research data. For this purpose, two professors of psychiatric mental health nursing and two advanced practitioner nurse of psychiatric mental health in the composition. The second step was to conduct the first Delphi survey on expert panelists. The survey period was from October 13, 2015 to November 1, 2015. The third stage, the second Delphi investigation was conducted from November 10 to December 4, 2015. Results: As a result of the survey, a total of 7 areas of protocol configuration items were derived. The derived items include the characteristics of male baby boomers, suicidal signs, suicide risk factors, suicide protection factors, suicide measurement tools, related organizations, and mental health promotion programs. Conclusion: This study can be used as a guideline when intervening suicide prevention of male baby boomers in community mental health centers.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.353-366
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• 2022

The study sets out to examine the relationship between the effects of government support, network capability, and knowledge sharing on the effects of innovative behavior on innovation performance. As digital-based networks and knowledge sharing activities are rapidly becoming common in the era of the spread of Covid-19, 357 questionnaires were analyzed for incumbent employees and the research hypotheses are verified using SPSS 24 and smart PLS 3 to prove the relationships between variables. As a result of the study, it is found that innovation performance increased when government support, network capability, and knowledge sharing increased. Innovative behavior is found to significantly mediate the relationship between network capability, knowledge sharing, and innovation performance, and government support was found to have a significant effect on network capabiltiy. Therefore, in order to induce innovative actions that are important in creating innovative results, various programs to enhance the network capabilities of entrepreneurs and promote knowledge sharing should be required as government support policies. This will serve as a driving force for entrepreneurs to voluntarily develop and implement ideas more flexibly and freely, thereby enhancing competitiveness through innovative growth of companies and industries. In other words, this study verified the effectiveness of government support in the network capability to help create innovative results by inducing innovative behavior along with knowledge sharing activities, and comprehensively demonstrated the relationship between factors in the overall structure.

• Applied Chemistry for Engineering
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• v.33 no.1
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• pp.71-77
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• 2022

To increase biomass utilization, rice husk-based activated carbon (RHAC) followed by nitrogen plasma surface treatment was prepared and the electric double-layer capacitor performance was investigated. Through nitrogen plasma surface treatment, up to 2.17% of nitrogen was introduced to the surface of RHAC, and in particular the sample reacted for 5 min with nitrogen plasma showed dominant formation of pyrrolic/pyridine N functional groups. In addition, mesopores were formed on the RHAC material by the removal of silica, and the surface roughness of the carbon material increased by nitrogen plasma surface treatment, resulting in the formation of many micropores. As a result of cyclic voltammetry measurement, at a scan rate of 5 mV/s, the specific capacitance of the RHAC treated with nitrogen plasma increased up to 200 F/g, showing an 80.2% improvement compared to that of using untreated RHAC (111 F/g). This is attributed to the synergetic effect of the introduction of pyrrolic/pyridine-based nitrogen functional groups and the increase of the micropore volume on the surface of the carbon material. This study has a positive effect on the environment in terms of recycling waste resources and using plasma surface treatment.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.167-180
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• 2021

The purpose of this study is to present a framework of the MyData business ecosystem that shows a different pattern from the previous one by the MyData concept and to define the characteristics of actors participating in the ecosystem. Because MyData is an individual exercising sovereignty over his or her data, there is a characteristic that the individual participates as a key actor in the business. In other words, MyData Operators participate in the MyData business ecosystem to help individuals who own MyData, MyData creating business and MyData using business, among them, manage their own data. Therefore, this study conducts a case study of domestic and foreign MyData businesses to revitalize the domestic MyData industry. In particular, the business model of 45 cases of overseas MyData operators was analyzed and classified into 7 types of 4 groups. And through this, the importance of the role of MyData Operator in the MyData industry ecosystem is confirmed and a developmental ecosystem model is proposed.

• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.105-115
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• 2023

This study seeks to find a way to induce users to expand their direct participation in sports through the acceptance of digital technology. From July 1 to August 30, 2022, a survey was conducted targeting home training users who applied the Internet of Things (IoT). 129 people participated in the survey through non-face-to-face self-administration method. For data processing, frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, multiple regression analysis, and 3-step mediation regression analysis were conducted using IBM's SPSS 21.0 program. The results of the study are as follows. First, in the relationship between the home training PPM model and direct participation in sports, ease appeared to have a mediating effect. In the factors of push, simple functionality showed a complete mediating effect, and inefficiency showed a partial mediating effect. Among pull factors, enjoyment and possibility of experience showed a complete mediating effect. In the mooring factors, individual innovativeness showed a complete mediating effect. Second, in the relationship between home training PPM model and direct participation in sports, usefulness showed a mediating effect. In the factors of push, simple functionality showed a complete mediating effect, and inefficiency showed a partial mediating effect. Among pull factors, enjoyment and possibility of experience showed a complete mediating effect. Among the mooring factors, individual innovativeness showed a partial mediating effect. Through this research, it is expected that the sports industry will contribute to the expansion of consumption expenditure and economic growth through the expansion of digital technologies such as NFT, Metaverse, and virtual/augmented reality.

• 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.