• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.157-179
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• 2017

The purpose of this study is to investigate the current state and librarian's perception of information services in order to maximize their expertise and role of each policy field and promote continuous development of information services. The researcher surveyed 22 government-funded research institute librarians on their perception of service planning stage, investigation and provision stage, evaluation stage, system operation, required capacities for librarians, role expansion and change, and job difficulties. The questionnaire was consisted of 7 domains, 12 items, and 61 questions, and in-depth interviews were conducted for qualitative analysis. The findings of the study discovered newly required tasks in libraries such as introducing research information management tools, operating an advisory committee, and conducting publications-related tasks. Suggestions were made to encourage standardized manuals for modules based on job tasks, Continuing education to expand the role of subject librarians, and utilization of social media in information services.

• Health Policy and Management
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• v.31 no.3
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• pp.280-291
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• 2021

Background: Based on the fact that the Korea Medical Dispute Mediation and Arbitration Agency is a public institution established by social demands for medical disputes, this study reviews the publicness of public organization and discusses its policy implications. Methods: Through Moore's strategic triangle, which consists of legitimacy and support, public value and operational capacity, the process of creating public value is examined. For the analysis, case studies were conducted using related literature data from 2012, when the agency was established, to the present. Results: As a result of the analysis, first, the related law examined in the operational capability has been revised dozens of times, but the revised law has its own contradictions and limitations. The human resource system is also being improved, but there is a problem with the fairness and reliability of the arbitration process, especially due to the limitations of the appraiser system. Second, in terms of legitimacy and support, a regional gap occurred despite efforts to improve accessibility through the expansion of the organization. And the arbitration agency failed to reconcile conflicts caused by stakeholders' perception of each other as a trade-off relationship. Third, the public value result shows that, despite many explicit (statistical) achievements, citizens' use of the past dispute resolution means (litigation) has not decreased. Likewise, the perception of value makers (citizens) is important for creating public value as an invisible result, but it has not yet been formally investigated, so the performance can not be recognized. Conclusion: While the organization's efforts for continuous change and improvement are encouraging, it is not perceived as a better means of resolving disputes and improving quality of services. Therefore, it is necessary to reconsider the institutional design centered on value creators.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.325-346
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• 2022

Social changes characterized by new normal also demand changes in libraries and libraries are making preemptive efforts. This study compared and analyzed the difference in librarian perceptions between the start of COVID-19 in 2020 and after experiencing the pandemic in 2022 in terms of the relative importance of library policies considered by pairwise comparative analysis. In the 1st survey, the importance of factors related to 'Library Management' and 'Library Services' was high and in the 2nd survey, the importance of factors related to 'Human Resources' and 'Information Resources' increased. This study insists that the public libraries invest in human resources and information resources and establish a user-customized policy in order to quickly adapt to the new paradigm and to provide sustainable library services.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.111-119
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• 2022

The purpose of this paper is to examine the change in perception of 3D virtual fashion before and after COVID-19 using big data analysis. The data collection period is from January 1, 2017, before the outbreak of COVID-19, to October 30, 2022, after the outbreak. Big data was collected for key words related to 3D virtual fashion extracted from social media such as Naver, Daum, Google, and YouTube using Textom. After the collected words were refined, word cloud, word frequency, connection centrality, network visualization, and CONCOR analysis were performed. As a result of extracting and analyzing 32,461 words with 3D virtual fashion as a keyword, the frequency and centrality of fashion, virtual, and technology appeared the highest, and the frequency of appearance of digital, design, clothing, utilization, and manufacturing was also high. Through this, it was found that 3D virtual fashion is being used throughout the industry along with the development of technology. In particular, the key words that stand out the most after COVID-19 are metaverse and 3D education, which are in high demand in the fashion industry.

• Industry Promotion Research
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• v.9 no.3
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• pp.41-55
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• 2024

This study analyzes the impact of digital strategy on firm performance through relational behavior, cognitive dimensions, and continuous digital transformation based on social capital theory. The research model was tested using data collected from a survey of 300 domestic corporate employees who have worked for over a year, conducted from February 20 to 23, 2024, using Smart PLS 4.0. The key findings of the study are as follows: First, it was confirmed that digital strategy plays a crucial role in promoting cooperation and interaction within the organization, enhancing members' understanding and perception of digital technology, and strengthening the firm's competitiveness through continuous change and innovation. Second, continuous digital transformation and cognitive dimensions positively impact firm performance, while the influence of relational behavior dimensions was found to be insignificant. These findings suggest that digital strategy can significantly affect firm performance by fostering interaction and perception changes within the organization, beyond mere technology adoption, and provide strategic implications for Korean firms to effectively pursue digital transformation.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.629-636
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• 2019

In order to infer whether the Special Act on the Punishment of Child Abuse Crimes, etc. actually brought about a change in the social perception shared about child abuse in our society, we used big data to examine the change in the perception of child abuse by the public. This study selected 'child abuse' as the keyword and collected and analyzed. The results of this study are as follows. First, before the implementation of the Special Act in 2013, the words "china" are kindergarten, teacher, body, problem, reporting obligation and neglect compared to the following. After the implementation of the special law, daycare centers, incidents, eradication, campaigns, domestic violence and preventive education were newly introduced. Second, the interconnection of key words in the previous picture of 2013 shows that the left group focuses on measures to introduce to prevent child abuse while the right group consists of keyword intended to view child abuse in conjunction with domestic violence. They are still seen as a group of divorces, discipline, neglect and parental education, which they still perceive as a family problem. Since the implementation of the Special Act in 2013, it will be divided into four groups, and the top group will be highlighted by the keyword related to child abuse cases, part of suspected cases and awareness of child abuse. In addition, the Act on the Special Cases of Child Abuse and the Child Protection Agency clearly appear as a child protection system.

• Korean journal of food and cookery science
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• v.30 no.2
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• pp.219-227
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• 2014

The objective of this study was to research the health status of the elderly population and their perception and compliance to cook medicated juk. The results from this research will be used as basic data for medicated juk development. In addition, the purpose of this study was to find a way to popularize the juk and improve their usage as medicated juk in communal feeding and convalescent hospital for elderly. The study surveyed 300 elderly residents of age over 65, in Daejeon. The following data were collected: general characteristic, health status, perception of medicated juk, and preferred kind of juk for cooking. Moreover, the study researched the constraints in cooking the juk. Data were analyzed by SPSS Windows V. 18.0 and t-test verified the differences among the questions, according to frequency analysis of each item and characteristics of the aged. You might want to specify this characteristic. Within the surveyed elderly population, 80.6% had various existing diseases with circulatory diseases being the most prevalent with 68.9%. This emphasizes on the significance of proper diet, but this recognition is not put into practice. The survey also showed that as the individuals age, they tend to care less about the necessity of proper diet. Despite of this lack of perception, 84.5% of the elderly population responded positively to the question, "Would you like to have medicated juk for curing diseases, if such juk is available?" In addition, the elderly population was in favor of developing the juk that helps to prevent and cure diseases, and many were willing to cook them. The reasons behind their will to cook are arranged in the following order: higher efficacy in curing disease than regular juk, excellence in nutrition, and unavailability of the medicated juk in the stores that requires them to cook. The sources constraining the elderly population in cooking are arranged in the following order: not knowing how to cook the juk, lack of physical strength, financial burden, and lack of information order. Please clarify this part. Suggested change: not knowing what medicated juk is. Furthermore, the main obstacle in cooking the juk is lack of cooking technique, followed by inaccessibility to the ingredients and the financial burden to purchase the ingredients.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.553-564
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• 2021

This study was conducted to understand the effects of participation perception, self-efficacy, self-esteem, and empowerment on self-support intention of self-support work project participants. For this study, a survey was conducted on participants in the self-support work project within the G-gu area. As a result of the study, it was found that the participation perception, self-efficacy, and empowerment of participants in the self-support project had a positive (+) effect on the self-support will. Also, in the process where participants' perceptions of participation, self-efficacy, and self-esteem affect the will to self-support, it was found that empowerment partially mediated participation perception and self-efficacy and fully mediated self-esteem. Based on these results, the following are practical suggestions for improving self-support project participants' will to self-support as follows. First, systematic training courses are needed in the application and selection of recipients, establishment of self-support plans, and gateway training courses so that participants in self-support projects can correctly recognize self-support projects. Second, it is necessary to systematize the case management system provided by the self-help center and re-establish the role in order to strengthen the participants' hope for self-reliance. Third, it is necessary to identify the strengths of the participants in the self-support project, create results for self-support, and operate a program that strengthens the latent motivation to solve their own problems and change their behavior. Fourth, the empowerment of participants and professional ability of practitioners should be strengthened so that participants can solve the alienation and social exclusion experienced in the process of participating in the project.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.311-320
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• 2023

This paper analyzes viewers' perception of investigative journalism before and after COVID-19, and examines the direction of investigative journalism using big data. Based on the previous research set as a social science model, the relationship between words related to big data TV current affairs programs and investigative journalism in this paper was investigated before and after the appearance of COVID-19. We visualized changes in viewers' perception of investigative journalism by analyzing text data obtained through the use of Textom, with TV current affairs programs and investigative journalism as keywords. Data was collected from 2017 to June 2022 and refined for analysis. We visualized connectivity centrality using Ucinet 6.0 and Netdraw, and clustered the number of keywords and their frequency using Concor analysis. Our study found a clear change in viewer perception before and after the pandemic. As an implication of this thesis, big data analysis was conducted with the investigative journalism as the main keyword, and the direction of the investigative journalism was presented based on the analysis. Furthermore, based on previous research, we suggest effective approaches for investigative journalism after the pandemic to better engage viewers.

• Journal of Intelligence and Information Systems
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• v.27 no.2
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• pp.33-54
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• 2021

With the fourth industrial revolution and the arrival of the New Normal era due to Corona, the importance of Non-contact technologies such as artificial intelligence and big data research has been increasing. Convergent research is being conducted in earnest to keep up with these research trends, but not many studies have been conducted in the area of nuclear research using artificial intelligence and big data-related technologies such as natural language processing and text mining analysis. This study was conducted to confirm the applicability of data science analysis techniques to the field of nuclear research. Furthermore, the study of identifying trends in nuclear spent fuel recognition is critical in terms of being able to determine directions to nuclear industry policies and respond in advance to changes in industrial policies. For those reasons, this study conducted a media trend analysis of pyroprocessing, a spent nuclear fuel treatment technology. We objectively analyze changes in media perception of spent nuclear fuel dry treatment techniques by applying text mining analysis techniques. Text data specializing in Naver's web news articles, including the keywords "Pyroprocessing" and "Sodium Cooled Reactor," were collected through Python code to identify changes in perception over time. The analysis period was set from 2007 to 2020, when the first article was published, and detailed and multi-layered analysis of text data was carried out through analysis methods such as word cloud writing based on frequency analysis, TF-IDF and degree centrality calculation. Analysis of the frequency of the keyword showed that there was a change in media perception of spent nuclear fuel dry treatment technology in the mid-2010s, which was influenced by the Gyeongju earthquake in 2016 and the implementation of the new government's energy conversion policy in 2017. Therefore, trend analysis was conducted based on the corresponding time period, and word frequency analysis, TF-IDF, degree centrality values, and semantic network graphs were derived. Studies show that before the 2010s, media perception of spent nuclear fuel dry treatment technology was diplomatic and positive. However, over time, the frequency of keywords such as "safety", "reexamination", "disposal", and "disassembly" has increased, indicating that the sustainability of spent nuclear fuel dry treatment technology is being seriously considered. It was confirmed that social awareness also changed as spent nuclear fuel dry treatment technology, which was recognized as a political and diplomatic technology, became ambiguous due to changes in domestic policy. This means that domestic policy changes such as nuclear power policy have a greater impact on media perceptions than issues of "spent nuclear fuel processing technology" itself. This seems to be because nuclear policy is a socially more discussed and public-friendly topic than spent nuclear fuel. Therefore, in order to improve social awareness of spent nuclear fuel processing technology, it would be necessary to provide sufficient information about this, and linking it to nuclear policy issues would also be a good idea. In addition, the study highlighted the importance of social science research in nuclear power. It is necessary to apply the social sciences sector widely to the nuclear engineering sector, and considering national policy changes, we could confirm that the nuclear industry would be sustainable. However, this study has limitations that it has applied big data analysis methods only to detailed research areas such as "Pyroprocessing," a spent nuclear fuel dry processing technology. Furthermore, there was no clear basis for the cause of the change in social perception, and only news articles were analyzed to determine social perception. Considering future comments, it is expected that more reliable results will be produced and efficiently used in the field of nuclear policy research if a media trend analysis study on nuclear power is conducted. Recently, the development of uncontact-related technologies such as artificial intelligence and big data research is accelerating in the wake of the recent arrival of the New Normal era caused by corona. Convergence research is being conducted in earnest in various research fields to follow these research trends, but not many studies have been conducted in the nuclear field with artificial intelligence and big data-related technologies such as natural language processing and text mining analysis. The academic significance of this study is that it was possible to confirm the applicability of data science analysis technology in the field of nuclear research. Furthermore, due to the impact of current government energy policies such as nuclear power plant reductions, re-evaluation of spent fuel treatment technology research is undertaken, and key keyword analysis in the field can contribute to future research orientation. It is important to consider the views of others outside, not just the safety technology and engineering integrity of nuclear power, and further reconsider whether it is appropriate to discuss nuclear engineering technology internally. In addition, if multidisciplinary research on nuclear power is carried out, reasonable alternatives can be prepared to maintain the nuclear industry.