• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.177-186
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• 2020

The purpose of this study is to view the current status of the smart manufacturing ecosystem and to use it as an objective basis for establishing a sustainable manpower training policy support plans for smart manufacturing suppliers. Therefore, questionnaires were constructed and distributed to 2,200 domestic smart manufacturing supply firms and 6,000 demand firms, which received responses from 259 supply firms and 155 demand firms. The results showed that both supply and demand firms needed digital converged workforce with comprehensive expertise and field-oriented digital transformation workforce. In the method of securing professional manpower, the demand for in-service training and post-management training was high. Based on the results of this study, this study suggests the manpower training policy support plans for smart manufacturing supply firms and contributes to strengthening the global market competitiveness of smart manufacturing supply firms in Korea.

• Korean journal of communication and information
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• v.57
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• pp.49-68
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• 2012

Much research has been documented on the topic of journalist labour, including process of news production, organizational culture and journalist ethics. Relatively little interest is given to the recent changes in journalist labor caused by the digital convergence in contemporary news industry, however. This study explore the changes from the perspective of the transformation of professional works, practices and identities. For the purpose, in-depth interviews with 17 Korean journalists were conducted and the results can be summarized as follows. First, interviewed journalists expressed both expectations and worries concerning the changes of news production environments. Second, it was found that the new environments could conflict with the old professional culture and confuse the professional identities. Third, the confusion of professional identities was concerned with adaptability, emotional consent or resistance to the changes.

• Journal of Information Science Theory and Practice
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• v.10 no.2
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• pp.30-44
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• 2022

The primary function of an electronic records management system (ERMS) is to support organisations in providing effective records management services by enabling efficient remote access to the organisations' records. This helps the organisation to continue running during emergency events, such as the COVID-19 pandemic. The need to study ERMS for accessing records remotely has increased dramatically, due to the increase in daily use. The situation arising from the COVID-19 pandemic has increased the need for implementing proper digital systems, such as ERMS, to enable efficient work processes and enhance business continuity. An ERMS has the potential to allow organisations to create records and workflows off-site. During a pandemic, the ability to structure processes digitally helps in maintaining operations remotely. This study aims to provide a narrative review of the ERMS literature with an emphasis on explaining the primary components of ERMS that act as enablers for the implementation of the system in the oil and gas sector of developing countries. The current study proposes ERMS roles and responsibilities that could enhance business continuity. The authors use a qualitative narrative review and analyse the literature related to this study and its findings. The results show that, in cases of risk or crises, staff members need to have easy access to their records and documents to remain productive. An ERMS allows professionals to remain active and work off-site. Thus, ERMS play a significant role in protecting an organisation's content through the monitoring and control over who has authorisation to access its records.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.23-34
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• 2014

The objective for this research is to analyze the origin of the outbreak of a policy dilemma in the government's pursuance of policy aimed at tackling internet addiction among teenagers, as well as analyzing responsive strategy. Therefore, within this research and as the model of the dilemma being the analytical frame, the aspect of the dilemma has been analyzed through the transformation of contexts, conditions, policy values, alternatives, policy actors and policy decision makers. The major research results are as follows. First, each and every dilemma of 'transformation of context and condition', 'policy value and alternatives', 'policy actors' and 'policy decision makers' in processes of policy in preventing and resolving adolescent internet addiction, it acted as a decisive cause in forming the general dilemma of the policy. Second, the government's strategy in policy response within the policy dilemma conditions turned out to be a duplication of policy, occurrence of contradictions, typical response strategy and cyclical choices. Given these factors, the following characteristics have shown up as a result. First, as the problems in duplication of policy and contradictions occurred within a single policy, the government responded to this dilemma in a typical way, which brought about an even more serious dilemma. Second, the government put in effort to re-regulate two values (protection of adolescents and promotion of the video game industry), which are included in the response policy of adolescent Internet addiction. As a result, the policy dilemma has weakened with respect to the past. However, it has not solved the fundamental problems. This research, taking the results as a background, strives to provide implications for establishing a self-consistent groundwork, which combines policy values and vision for the government to pursue effective responsive policy on adolescent internet addiction, which is becoming more and more severe in the information society in which we live.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.537-541
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• 2022

As technology advances, various applications linked to the music industry are becoming popular through new media. There have been many changes in the music market. Beyond the existing music market, where music copyright and performance rights were the center of the music business, we are unifying and operating communication channels that connect artists and fans, such as investment products derived from music copyrights. The technology that connects the fandom with additional business digital content has transformed into global platforms such as HYBE Entertainment's and YG Entertainment's Weverse, as well as SM Entertainment's Bubble. In addition, various national support projects to build a 5G MEC (MobileEdge Computing) environment to quickly respond to the rapidly changing 5G industry ecosystem are supporting for the immersive content demonstration, immersive content testing, and technical analysis, we are laying the groundwork to efficiently respond to the ever-expanding metaverse content market. Technology is changing dramatically. Therefore, we would like to study to changes in the music market brought about by technology and suggest strategies for a new era in the music business.

• Journal of Platform Technology
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• v.12 no.1
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• pp.12-31
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• 2024

Today, many countries around the world recognize the development of autonomous vehicles as a national growth engine, support technology development through various projects, and promote it as national policy. China and Korea are representative countries that are strongly promoting autonomous vehicle policies. The Chinese government's policy direction for self-driving cars focuses on support for fostering new industries. Korea has established mid- to long-term goals and plans to foster the future mobility industry as a key growth engine and is promoting these as a national task. Recently, China and Korea have established national pilot areas to test autonomous vehicle operation and are actively pursuing policies. We aim to compare and analyze the operation status of self-driving cars in China's Xiong'an New Area and South Korea's Sejong City and derive policy implications regarding self-driving cars, which are emerging as a key industry of the future. According to the analysis results, it was found that China's Xiong'an New District is ahead of Korea's Sejong City in terms of leader leadership. As a result, autonomous driving is being operated at the government-wide and national level in Xiong'an New Area. In terms of the driving force, in the case of Xiongan New Area, the policy is being promoted by companies centered on Baidu, and in the case of Sejong City, the policy is being promoted by the local government. As a result, it is estimated that Xiongan New Area will be able to reach commercialization before Sejong City. In the final policy proposal, it was proposed to break away from the existing government-led method and switch to a collaboration with the private sector and a private-led method.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.81-91
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• 2020

The logistics industry is a basic and strategic industry that supports the development of national economy and society. The purpose of this paper is to evaluate the logistics efficiency of 22 cities in Guangxi and Yunnan provinces in China, and to grasp the problems and constraints and present policy proposals to promote the transformation and upgrading of the industrial structure in Guangxi and Yunnan provinces. In this paper, five input indexes and four output indexes were selected and the data from 2016 to 2018 were analyzed through DEA method. According to the analysis, the logistics efficiency of Guangxi and Yunnan provinces is not bad overall, but the development of each region is not balanced and the level of logistics efficiency is quite different. And it is found that each city needs to further improve the level of scale because the input and production structure of logistics resources is unreasonable. The limitation of this study is that it is difficult to generalize the analysis results because only the data over the past three years have been analyzed. It is necessary to comprehensively implement longitudinal and transverse analyses by extending the future analysis period over a long period of time.

• Knowledge Management Research
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• v.22 no.4
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• pp.157-172
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• 2021

Information security companies were established in earnest from the mid-late 1990s to early 2000s, far shorter than other national key industries. Nevertheless, the information security industry has made rapid progress. It is expected that the proportion of the information security industry will increase rapidly with the development of advanced technology along with the 4th industrial revolution. As COVID-19, which occurred at the end of 2019, spreads around the world in 2020, non-face-to-face services and digital transformation are accelerating, and cyber threats to users are also increasing. However, there are limitations in responding to new Cyber Security threats due to the shortage of information protection manpower, insufficient security capabilities of domestic companies, and the narrow domestic information protection market. This study examines the external environmental factors of information security companies such as government information protection system operation, government influence, government support, partnership between information security companies, and internal environmental factors such as top management support, financial status, human resources, organizational capability, This study was conducted using empirical data to analyze whether it affects innovation capability and whether organizational capability and innovation capability affect financial and non-financial performance. The results of this study can be used as basic data to suggest policies and implications for information security, and to strengthen the competitiveness of the information security industry.

• Clean Technology
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• v.28 no.1
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• pp.63-78
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• 2022

Electronics industrial wastewater treatment facilities release organic wastewaters containing high concentrations of organic pollutants and more than 20 toxic non-biodegradable pollutants. One of the major challenges of the fourth industrial revolution era for the electronics industry is how to treat electronics industrial wastewater efficiently. Therefore, it is necessary to develop an electronics industrial wastewater modeling technique that can evaluate the removal efficiency of organic pollutants, such as chemical oxygen demand (COD), total nitrogen (TN), total phosphorous (TP), and tetramethylammonium hydroxide (TMAH), by digital twinning an electronics industrial organic wastewater treatment facility in a cyber physical system (CPS). In this study, an electronics industrial wastewater activated sludge model (e-ASM) was developed based on the theoretical reaction rates for the removal mechanisms of electronics industrial wastewater considering the growth and decay of micro-organisms. The developed e-ASM can model complex biological removal mechanisms, such as the inhibition of nitrification micro-organisms by non-biodegradable organic pollutants including TMAH, as well as the oxidation, nitrification, and denitrification processes. The proposed e-ASM can be implemented as a Water Digital Twin for real electronics industrial wastewater treatment systems and be utilized for process modeling, effluent quality prediction, process selection, and design efficiency across varying influent characteristics on a CPS.

• Journal of Korean Society for Quality Management
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• v.50 no.4
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• pp.647-664
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• 2022

Purpose: The purpose of this study is to derive major policies that domestic small and medium-sized manufacturing companies should consider to maximize productivity and quality improvement by utilizing manufacturing data and AI, and to find priorities and implications. Methods: In this study, domestic and international issues and literature review by country were conducted to derive major considerations such as manufacturing AI technology, manufacturing AI talent, manufacturing AI data and manufacturing AI ecosystem. Additionally, the questionnaire survey targeting 46 experts of manufacturing data and AI industry were conducted. Finally, the major considerations and detailed factors importance were derived by applying the Analytic Hierarchy Process (AHP). Results: As a result of the study, it was found that 'manufacturing AI technology', 'manufacturing AI talent', 'manufacturing AI data', and 'manufacturing AI ecosystem' exist as key considerations for domestic manufacturing AI. After empirical analysis, the importance of the four key considerations was found to be 'manufacturing AI ecosystem (0.272)', 'manufacturing AI data (0.265)', 'manufacturing AI technology (0.233)', and 'manufacturing AI talent (0.230)'. The importance of the derived four viewpoints is maintained at a similar level. In addition, looking at the detailed variables with the highest importance for each of the four perspectives, 'Best Practice', 'manufacturing data quality management regime, 'manufacturing data collection infrastructure', and 'manufacturing AI manpower level of solution providers' were found. Conclusion: For the sustainable growth of the domestic manufacturing AI ecosystem, it should be possible to develop and promote manufacturing AI policies in a balanced way by considering all four derived viewpoints. This paper is expected to be used as an effective guideline when developing policies for upgrading manufacturing through domestic manufacturing data and AI in the future.