• Title/Summary/Keyword: "information governance"

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Digital Transformation Strategy Design for National Public Service

  • Sangwon LEE;Joohyung KIM
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.435-441
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    • 2023
  • From the mid-to-late 2010s, technology was frequently mentioned in the definition of digital transformation. In the early stages, the private sector started actively using it, and the public sector started to take it seriously. Divided into "providing value and cultural change, the main goals of digital transformation were accomplished, and the ideas of creating new values in social and industrial systems and applying digital technology appeared to be related. Digital transformation, defined as the idea of combining digital solutions to boost competitiveness and add value, necessitates social innovation and cultural shifts at the national level. In order to encourage the digital transformation of the industry, the Industrial Digital Transformation Promotion Act was passed in December 2021. This set the groundwork for a comprehensive and organized approach to facilitating the use of industrial information. We will examine the nature and extent of digital transformation in this study, as well as discover the organizations and regulations that support it. We also want to examine the essential standards and technologies needed to put the digital transformation plan into practice. Lastly, We'll make some conclusions about how this will affect public services' digital transformation.

The Analysis of the Purchasing Process and Distribution Management Requirements of Teaching Materials in Preschool

  • Jae-Moo LEE;Kyung-Seu CHO
    • Journal of Distribution Science
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    • v.22 no.1
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    • pp.115-125
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    • 2024
  • Purpose: This study is to analyze the purchasing process and distribution management requirements for teaching materials that have important meaning in the practical field of preschool education. Research design, data and methodology: A structured questionnaire was used to survey 103 childcare staffs regarding the purchasing process and distribution managements. The collected data underwent Likert's 5-point scale analysis and keyword grouping. Additionally, ANOVA was conducted to examine the distribution management demands based on demographic characteristics. Results: The purchasing of teaching materials involved more offline channels than online, and the purchase decisions were predominantly made by principals rather than teachers. Although the purchasing process is similar to that of general businesses, there are difficulties in purchasing due to the disorganized distribution channels and limited accessibility to product information. Additionally, the management of inventory for teaching materials is challenging due to limited personnel and storage. Childcare staffs have requirements for classification systems, evaluation criteria, environments and policies related to teaching materials distribution. The need to introduce a teaching material evaluation and certification system to ensure quality was not high. Conclusions: Most of the respondents recognized that strict management and measures should be taken for the distribution of teaching materials. There were differences in the demand of teaching material distribution depending on the respondents' status, age, education, and experience.

Evaluating Biodiversity Conservation Activities by Corporations Based on Afforestation: KT&G (산림조성을 기반으로 한 기업의 생물다양성 보전 활동 분석: KT&G의 사례를 중심으로)

  • Geonhui Kim;Yoora Cho;Jay Hyuk Rhee;Yong Sik Ok
    • Journal of Environmental Science International
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    • v.33 no.6
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    • pp.345-353
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    • 2024
  • As biodiversity loss has been highlighted as a global risk, biodiversity activities are gaining attention as a part of companies' Environmental, Social, and Governance (ESG) related management. This study evaluates various biodiversity activities of corporations based on domestic and international indicators. We present the role of corporations expressly in afforestation activities and suggest additional information that should be disclosed for the accurate verification of environmental values by third parties. KT&G was selected as the subject of the evaluation. The 4th National Biodiversity Strategy was used as a domestic indicator, and GRI Standard 304 as an international indicator. Companies can play a leading role in planning, implementing, and monitoring afforestation activities and should further disclose the species composition of the forests created and the age of the seedlings to enhance the credibility of the environmental values stated in their sustainability reports.

Exploratory Analysis of AI-based Policy Decision-making Implementation

  • SunYoung SHIN
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.203-214
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    • 2024
  • This study seeks to provide implications for domestic-related policies through exploratory analysis research to support AI-based policy decision-making. The following should be considered when establishing an AI-based decision-making model in Korea. First, we need to understand the impact that the use of AI will have on policy and the service sector. The positive and negative impacts of AI use need to be better understood, guided by a public value perspective, and take into account the existence of different levels of governance and interests across public policy and service sectors. Second, reliability is essential for implementing innovative AI systems. In most organizations today, comprehensive AI model frameworks to enable and operationalize trust, accountability, and transparency are often insufficient or absent, with limited access to effective guidance, key practices, or government regulations. Third, the AI system is accountable. The OECD AI Principles set out five value-based principles for responsible management of trustworthy AI: inclusive growth, sustainable development and wellbeing, human-centered values and fairness values and fairness, transparency and explainability, robustness, security and safety, and accountability. Based on this, we need to build an AI-based decision-making system in Korea, and efforts should be made to build a system that can support policies by reflecting this. The limiting factor of this study is that it is an exploratory study of existing research data, and we would like to suggest future research plans by collecting opinions from experts in related fields. The expected effect of this study is analytical research on artificial intelligence-based decision-making systems, which will contribute to policy establishment and research in related fields.

Addressing Challenges in Leveraging Health and Medical Data for Research and Development (보건의료 데이터 연구 개발 활용의 장애요인 및 활성화 방안 제언)

  • Kyusok Cho;Youngsok Bang
    • Journal of Information Technology Services
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    • v.23 no.3
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    • pp.39-54
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    • 2024
  • This study explores the barriers to using health and medical data in research and development (R&D) within the healthcare industry and suggests ways to enhance data utilization. As artificial intelligence technology drives transformative changes across industries, there is an increased demand for robust health and medical data, highlighting its critical economic value and utility in fostering innovation. Using qualitative analysis through Grounded Theory, the study involves ten R&D professionals from healthcare industry, including both medical centers and corporations, using surveys and in-depth interviews to gather diverse experiences and perspectives on the challenges and opportunities in health and medical data use. Key findings point to legislative, regulatory, and data quality and integration issues, as well as complexities in patient data access and usage. Technological limitations and inadequate data governance frameworks also emerge as significant obstacles. Recommendations focus on improving regulatory frameworks, enhancing data standardization and quality, and fostering stronger partnerships between data custodians and users. The study concludes that overcoming these obstacles requires a comprehensive strategy involving legislative changes, improved technological infrastructure, and increased stakeholder collaboration. Implementing these recommendations could greatly enhance health and medical data utilization in R&D, significantly advancing medical science and patient care services.

The Evolutionary Trends and Influential Factors Analysis of Agricultural Trade between South Korea and RCEP Member Countries

  • Qianli Wu;Jinyan Tian;Haiyan Yu;Ziyang Liu
    • Journal of Internet Computing and Services
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    • v.25 no.4
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    • pp.73-86
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    • 2024
  • With the acceleration of regional economic integration, the agricultural trade network within the RCEP region presents new opportunities and challenges for member countries. This study focuses on agricultural trade among RCEP members from 2011 to 2020, utilizing social network analysis to explore the structural characteristics and evolutionary trends of the trade network. Additionally, an extended gravity model is employed to empirically analyze the key factors influencing South Korea's agricultural trade with other member countries. The findings reveal that: (1) Agricultural trade relationships within the RCEP region are stable and mature, with high interconnectivity in the trade network, indicating a trend towards balanced development. (2) The positions of member countries within the agricultural trade network are characterized by both high density and heterogeneity. (3) South Korea's agricultural trade with RCEP member countries is positively influenced by the economic size, population size, and governance level of its trading partners, while South Korea's own indicators show no significant effect. The trade distance between South Korea and member countries also has a positive impact on agricultural trade. By combining social network analysis with an extended gravity model, this study provides a multi-faceted quantitative analysis of the RCEP agricultural trade network, offering new insights into regional agricultural trade. It also provides empirical evidence for agricultural trade cooperation between South Korea and other RCEP countries.

Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique (LDA 토픽모델링 기법을 활용한 부산시 민원 빅데이터 분석)

  • Park, Ju-Seop;Lee, Sae-Mi
    • Informatization Policy
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    • v.27 no.2
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    • pp.66-83
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    • 2020
  • Local issues that occur in cities typically garner great attention from the public. While local governments strive to resolve these issues, it is often difficult to effectively eliminate them all, which leads to complaints. In tackling these issues, it is imperative for local governments to use big data to identify the nature of complaints, and proactively provide solutions. This study applies the LDA topic modeling technique to research and analyze trends and patterns in complaints filed online. To this end, 9,625 cases of online complaints submitted to the city of Busan from 2015 to 2017 were analyzed, and 20 topics were identified. From these topics, key topics were singled out, and through analysis of quarterly weighting trends, four "hot" topics(Bus stops, Taxi drivers, Praises, and Administrative handling) and four "cold" topics(CCTV installation, Bus routes, Park facilities including parking, and Festivities issues) were highlighted. The study conducted big data analysis for the identification of trends and patterns in civil affairs and makes an academic impact by encouraging follow-up research. Moreover, the text mining technique used for complaint analysis can be used for other projects requiring big data processing.

The Effects of Ownership Structure on Analysts' Earnings Forecasts (기업지배구조가 재무분석가의 이익 예측오차와 정확성에 미치는 영향)

  • Park, Bum-Jin
    • The Korean Journal of Financial Management
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    • v.27 no.1
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    • pp.31-62
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    • 2010
  • This paper analyzes empirically how analysts' forecasts affected by ownership structure. This study examine a sample of 1,037~1,629 the analysts' forecasts of firms registered in Korean Stock Exchange in the period from 2000 to 2006. The empirical results are summarized as follows. First, from the analysis, companies which have higher major shareholder's holdings tend to increase earnings forecast errors and earnings forecast accuracy. Meanwhile, companies which have higher institution shareholder's holdings tend to decrease earnings forecast errors and earnings forecast accuracy. This result is in line with the view of previous works that companies with higher major shareholder's holdings look towards more of analysts' optimistic forecasts in order to maintain friendly relations with major shareholders. Because of analysts' private information use from major shareholders, earnings forecast accuracy is higher in high major shareholder's holdings firm than in high institution shareholder's holdings it. Second, this analysis is whether the minimal required selection condition of outside directors, audit committee adoption and audit quality affect the relation between ownership structure and analysts' forecasts. This result is that variables related corporate governance do not affect statically the relation between ownership structure and analysts' forecasts. The meanings of this paper is to suggest the positive relations between ownership structure and analysts' forecasts. After this, if analysts will notice forecasts of more many firms, capital market will be more efficient and this field works are plentiful. Also it will need monitoring systems not to distort market efficiency by analysts' dishonest forecasts.

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A Study on the Reorganization of Science and Technology Law by Changes in the Science and Technology Environ (과학기술 환경 변화와 과학기술 법제 개편 방향)

  • Yoon, Chong-Min
    • Journal of Korea Technology Innovation Society
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    • v.15 no.4
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    • pp.881-915
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    • 2012
  • These days, according as the role and function of science and technology become a important solving means of various national and social problems caused in knowledge information society as well as the development of national economy, the national target and mission of science and technology have been newly illuminated. The task of science and technology has embodied into national policies, and these policies acquired institutional foundation through the legal system related to science and technology. Recently, the discussions about the operating system of present science and technology legislation are often happened, if or not the legal system is optimal and appropriate itself under the changed environment. In special, some issues are raised continuously, for example, about the improvement of coordination system on S&T policies, and the governance system on national R&D programs, etc. This paper aims to research and suggest the reorganization method of science and technology law. For this purpose, the development and existing state of S&T legislation was investigated, the government role and policy driving direction were reviewed under the recent changed environment, and the problems of S&T law in structure and content were analyzed in variety of perspectives. On this basis, the reorganization methods of science and technology law are suggested.

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Overview of Legal Measures for Managing Workplace COVID-19 Infection Risk in Several Asia-Pacific Countries

  • Derek, Miller;Tsai, Feng-Jen;Kim, Jiwon;Tejamaya, Mila;Putri, Vilandi;Muto, Go;Reginald, Alex;Phanprasit, Wantanee;Granadillos, Nelia;Farid, Marina Bt Zainal;Capule, Carmela Q.;Lin, Yu-Wen;Park, Jihoon;Chen, Ruey-Yu;Lee, Kyong Hui;Park, Jeongim;Hashimoto, Haruo;Yoon, Chungsik;Padungtod, Chantana;Park, Dong-Uk
    • Safety and Health at Work
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    • v.12 no.4
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    • pp.530-535
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    • 2021
  • Background: Despite the lack of official COVID-19 statistics, various workplaces and occupations have been at the center of COVID-19 outbreaks. We aimed to compare legal measures and governance established for managing COVID-19 infection risks at workplaces in nine Asia and Pacific countries and to recommend key administrative measures. Methods: We collected information on legal measures and governance from both general citizens and workers regarding infection risks such as COVID-19 from industrial hygiene professionals in nine countries (Indonesia, India, Japan, Malaysia, New Zealand, Republic of the Philippines, Republic of Korea, Taiwan, and Thailand) using a structured questionnaire. Results: A governmental body overseeing public health and welfare was in charge of containing the spread and occurrence of infectious diseases under an infectious disease control and prevention act or another special act, although the name of the pertinent organizations and legislation vary among countries. Unlike in the case of other traditional hazards, there have been no specific articles or clauses describing the means of mitigating virus risk in the workplace that are legally required of employers, making it difficult to define the responsibilities of the employer. Each country maintains own legal systems regarding access to the duration, administration, and financing of paid sick leave. Many workers may not have access to paid sick leave even if it is legally guaranteed.