This study was conducted to derive a management technology model based on the new management framework established in previous studies. The management technology sector, which occupies most of the existing business administration, is defined as a technical division in new management. In this study, the theory of management technology based on the service philosophy of the service economy era was presented. The structure of new business, which is the basis of new management technology, is presented first, the service philosophy of the service economy era where management is performed, and then the management technology model based on service philosophy is presented. The management technology model was derived on the basis of immutable axioms. After presenting new management axioms based on common human ideology and nature and human nature, a management technology model was presented based on axioms. On the basis of the axioms, a new dialectical development model was developed as a model for the dialectical development that maintains a tight balance and a fierce interaction between two opposing parties based on the structure and operation model of service philosophy. In addition to the overall organizational management model, a management function model and a management expansion model were presented. Each detailed technique is presented as a model for dialectical development of opposing confrontations. Management technology is a dynamic technology that is constantly changing, and is an overall technology that takes into account various situations and viewpoints. This study has significance as a basic study to overcome the limitations of the existing static management technology and develop dynamic management technology. Future research requires empirical analytical studies on new management technology models.
As advances in information and communication technology have made it easier for anyone to produce and disseminate information, a new problem has emerged: fake news, which is false information intentionally shared to mislead people. Initially spread mainly through text, fake news has gradually evolved and is now distributed in multimedia formats. Since its founding in 2005, YouTube has become the world's leading video platform and is used by most people worldwide. However, it has also become a primary source of fake news, causing social problems. Various researchers have been working on detecting fake news on YouTube. There are content-based and background information-based approaches to fake news detection. Still, content-based approaches are dominant when looking at conventional fake news research and YouTube fake news detection research. This study proposes a fake news detection method based on background information rather than content-based fake news detection. In detail, we suggest detecting fake news by utilizing related video information from YouTube. Specifically, the method detects fake news through CNN, a deep learning network, from the vectorized information obtained from related videos and the original video using Doc2vec, an embedding technique. The empirical analysis shows that the proposed method has better prediction performance than the existing content-based approach to detecting fake news on YouTube. The proposed method in this study contributes to making our society safer and more reliable by preventing the spread of fake news on YouTube, which is highly contagious.
The purpose of this research is to conduct the empirical analysis of the short- and long-term causal relationship between public R&D investment, corporate R&D investment, and university R&D investment on economic growth in Korea. To this end, based on the time series data from 1976 to 2020, a causality test was conducted through the unit root test, cointegration test, and vector error correction model (VECM). As a result, it was found that there is a long-run equilibrium relationship between economic growth in Korea, public R&D investment, corporate R&D investment, and university R&D investment, in which a causal relationship exists in the long run. Also, while public R&D investment has a short-term effect on economic growth, corporate and university R&D investment does not have a short-term effect on economic growth. In addition, the results shows that there is a bidirectional causal relationship between economic growth and public R&D investment, corporate R&D investment and public R&D investment, and university R&D investment and public R&D investment in the short term. Through this research, it was empirically found that a highly mutual relationship exists between public R&D investment, corporate R&D investment, university R&D investment and economic growth. In order to increase the ripple effect of R&D investment on economic growth in the future, R&D investment between universities and corporations should be mutually promoted, and R&D investment by corporations should have a positive effect on public R&D investment so that public R&D investment can contribute to future economic growth.
The provision of onboard Internet services is recognized as one of the measures to enhance the appeal of seafarers and improve seafarer welfare. This study aims to investigate the influence of seafarers' leisure activities using the Internet on shipboard culture. Shipboard culture was examined using Hofstede's cultural dimensions theory. An empirical analysis was conducted on crewmembers regarding their Internet-based leisure activities and the shipboard culture. As a result, it was observed that sociability activities through the Internet while onboard significantly influenced power distance, uncertainty avoidance, and long-term orientation. The investigation of shipboard culture revealed uncertainty avoidance, masculinity, and long-term orientation, along with low power distance and individualism cultures. In addition, an analysis of shipboard culture according to seafarers' characteristics showed significant differences in certain shipboard cultures based on seafarers' attributes.
As polarization and class reproduction between generations are considered to be serious problems in Korean society, increasing number of assortative mating, which means marrying between homogeneous family background, income class, and educational background, is on the spotlight socially. Some worry that the increase of assortative mating can reinforce closure of social mobility so it deepens inequality and limits class mobility between generations. This research analyzes the effects of accomplishment characteristics of husbands and wives and ascriptive characteristics of parents which consist the concept of assortative mating, on income, consumption, and assets those represent economic status of a family. The purpose of this research is to suggest empirical understanding on the role of assortative mating that affect on inequality within generations and income mobility between generations in Korean society. In the result of multiple regression analysis on the effect of assortative mating on income, consumption, and assets, high educational background was the factor that increase income and consumption level as accomplishment characteristics of assortative mating. As ascriptive characteristics of assortative mating, educational homogeneous of fathers was the factor that increased asset level. While accomplishment characteristics affect income and consumption, ascriptive characteristics of homogeneous had significant effect on assets. Thus, it was found that transfer between generations had effects around asset rather than income. In particular, ascriptive characteristics in young husbands and wives aged 20s or 30s had significant effect only on the assets.
The purpose of this study is to deeply explore the communication process with team members perceived by team leader. To this end, in-depth interviews were conducted with 10 team leaders, and analyzed according to the grounded theory research method procedure suggested by Strauss and Corbin. As a results, a total of 51 concepts, 17 subcategories, and 8 categories were derived. As a causal condition, the concept of 'contemplating and reinterpreting communication necessary for the organization' was derived, and the central phenomenon was 'intentional effort made in parallel with work and private conversations'. The contextual condition was 'recognizing the need to cope with environmental changes', and the mediating condition was 'self-reflection and self-coaching time' was derived. The action/interaction strategy was conceptualized as a communication process with task-oriented coping, conflict resolution coping, and relationship promotion coping, and was confirmed as 'recognizing virtuous cycle communication within the organization' as a result of interaction with the central phenomenon. As a result of analysis of the team leader's communication process, the effort stage, approach stage, coping stage, and cycle stage were shown. As a result of the type analysis, task-oriented coping was a facilitator, conflict resolution coping was a supporter, and relationship promotion coping was a considerate. This study is an empirical study on how the corporate team leader perceives and expresses communication in the relationship with the team members.
In this study, we want to verify the factors that affect the intention to switch to a supply chain management information system applied with blockchain. To this end, variable selection and research model were constructed through the review of previous studies, and empirical analysis was conducted using the TOE framework and PPM model. The effects of Push and Pull factors on the intention to switch to the block chain system and the moderating effect through the switching cost which is a Mooring factor, were verified. The hypothesis was verified using a structural equation model using a sample of 320 response data by conducting a questionnaire survey on small and medium-sized enterprises located in Korea. As a result of the study, social influence, which is a push factor, and management's will to innovate, which is a Pull factor, had a significant effect on switching intention. And the moderating effect between the groups with high and low switching cost recognition was confirmed. This study is significant in that it presents the concept and research direction of SCBM (supply chain & blockchain management) that can enhance the competitiveness of a company through the implementation of a blockchain-based supply chain management information system.
Purpose - This study examines the influencing factors of China's cross-border e-commerce exports in the context of the current situation and trends of China's cross-border e-commerce development. Through an improved trade gravity model, it provides more in-depth research and constructive opinions on the development of cross-border e-commerce in China. In this paper, factors such as consumption gap, volume of trade frictions, number of tourists, Internet usage and trade openness are added to the formula of the traditional trade gravity model in the improved trade gravity model to examine the influencing factors on China's cross-border e-commerce exports. Design/methodology - According to the empirical analysis, China's cross-border e-commerce exports to ten countries are used as dependent variables, and consumption gap, trade friction volume, trade distance, trade openness and number of Internet users are taken as independent variables. Regression analysis is conducted through a modified gravity model to test whether the hypotheses hold. Findings - The analysis shows that the hypothesis that China's cross-border e-commerce exports are influenced by trade openness, trade distance, consumption gap between trade parties, and the number of Internet users in the importing country is supported by these four hypotheses, but not all independent variables have an impact on them. Specifically, the number of travelers, trade frictions do not have an impact on China's cross-border e-commerce. That is to say, trade friction between China and the United States and political issues such as China-India and China-Japan territorial disputes that emerged before do not affect the development of cross-border e-commerce in China. Originality/value - The analysis shows that the factors influencing China's cross-border e-commerce exports are the trade openness of the importing country, the trade distance, the number of Internet users in the importing country, and the consumption gap between the two sides of the trade. The trade openness and the number of Internet users positively contribute to China's cross-border e-commerce, while the consumption gap and trade distance are negatively related to them. And the analysis found that the Sino-US trade war and the Sino-Indian territorial disputes and other trade frictions to China's cross-border e-commerce exports did not have a substantial impact.
Although education using teaching tools is important to both students and teachers, the quality problem of distributed teaching tools is constantly being raised. Therefore, the purpose of this study is to analyze the teaching tools by classifying them into three quality factors, and to confirm the satisfaction and repurchase intentions of elementary school teachers. This study was conducted by dividing the first CIT survey and the second survey targeting incumbent elementary school teachers, and the PLS statistical program was used as an analysis tool. Through empirical analysis, it was analyzed that product quality, educational quality, and service quality had a positive (+) effect on teacher satisfaction, and that teacher satisfaction had a positive (+) effect on repurchase intention. Through this, it gives teachers insight into what they should focus on when purchasing or evaluating teaching tools and how to use them usefully for education, and for researchers, it provides an important clue to research for product quality improvement, and for companies that produce and distribute teaching tools, it gives to effective guidelines for the development of new products and contents. In the future, in addition to the relationship between the teaching tools and teachers, additional research on the organic relationship between the teaching tools and various objects is needed, and this is suggested as a future study.
The Journal of The Korea Institute of Intelligent Transport Systems
/
v.21
no.1
/
pp.209-220
/
2022
With the worldwide spread of African swine fever, interest in livestock epidemics has increased. Livestock transport vehicles are the main cause of the spread of livestock epidemics, but there are no empirical quarantine procedures and standards related to the mobility of livestock transport vehicles in South Korea. This study extracted the trajectory of livestock-related vehicles using the facility-visit history data from the Korea Animal Health Integrated System and the DTG (Digital Tachograph) data from the Korea Transportation Safety Authority. The results are presented as exposure indices aggregating the link-time occupancy of each vehicle. As a result, 274,519 livestock-related vehicle trajectories were extracted, and the exposure values by link and zone were derived quantitatively. This study highlights the need for prior monitoring of livestock transport vehicles and the establishment of post-disaster prevention policies.
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