• Title/Summary/Keyword: Social Power

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A Study on the Utilization of Safety Practice Index to Increase the Effectiveness of Safety Management (안전관리 실효성 증대를 위한 안전실천지수 활용 방안 연구)

  • Kim, Heon-Seok;Kim, Jong-In;Rie, Dong-Ho
    • Journal of the Korean Society of Safety
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    • v.36 no.1
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    • pp.44-49
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    • 2021
  • Domestic industrial accidents continue to increase, with 2,142 deaths in 2018, up by 185 (9.5%) from 1,957 deaths in 2017. Industrial accidents that cause loss of human lives pose a serious risk to businesses because of the strengthening of safety regulations and the changing public perception of social responsibility. Accordingly, to prevent industrial accidents, companies regularly conduct onsite safety activities and conduct education and training to raise awareness among employees. However, many such corporate activities are not conducted voluntarily and practically by employees but mostly by formal implementation. To discontinue this customary and passive behavior of employees and establish a mature safety culture, strengthening the execution power of safety management at the site is of paramount importance, and to this end, we aim to utilize the safety practice index (SPI). In this study, the SPI calculated on the basis of the results of the 2018 and 2019 risk management and safety activities of a site was compared with the reported safety accidents. The results confirmed that the SPI index can be used as a valid indicator for safety activities for accident prevention, such as strengthening leadership and safety policies to grade and manage safety management levels for a certain period of time or by a department or to convert weaknesses into strengths.

A Study on the Intention to use the Artificial Intelligence-based Drug Discovery and Development System using TOE Framework and Value-based Adoption Model (TOE 프레임워크와 가치기반수용모형 기반의 인공지능 신약개발 시스템 활용의도에 관한 실증 연구)

  • Kim, Yeongdae;Lee, Won Suk;Jang, Sang-hyun;Shin, Yongtae
    • Journal of Information Technology Services
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    • v.20 no.3
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    • pp.41-56
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    • 2021
  • New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.

Interpretation of Siberian shaman costume through Roland Barthes's semiotics approach (롤랑 바르트의 기호학 접근을 통한 시베리아 샤먼복식의 해석)

  • Liu, Shuai;Kwon, Mi Jeong
    • The Research Journal of the Costume Culture
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    • v.28 no.6
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    • pp.858-874
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    • 2020
  • This study attempts to analyze the social and cultural meanings of the ethnic groups to which different types of shamans belong in Siberia from the appearance characteristics in terms of clothing through Roland Barthes's semiotic theory. The research method here is to analyze three types of shaman costume classified by Holmberg, which are bird-type, deer-type, and bear-type, through theoretical research and to investigate the analysis process of Roland Barthes's semiotics theory. Roland Barthes's approach to semiotics presents an analysis model that can explore the sociocultural meaning of the Siberian shaman costume. The research results are as follows. In the first type, to be closer to the god of the upperworld, shamans transform themselves into birds by decorating their costumes with the characteristic elements of birds such as feathers and wings. In the second type, the shamans' costumes are made of deerskin, and the headdress is shown in the shape of antlers to make it easier to receive messages from the upperworld and run fast in the underworld. In the third type, the shaman's costume is made of bearskin, the head is covered with bearskin, and the body is decorated with bear pendants. Through the power of the bear, the shaman is sent to the underworld to defeat evil gods and remove diseases. Shamans can show their particularity of being a demigod and non-binary gender through clothing. They use this to reflect their authority as a medium of communication between man and god.

A Study on the Employee Turnover Prediction using XGBoost and SHAP (XGBoost와 SHAP 기법을 활용한 근로자 이직 예측에 관한 연구)

  • Lee, Jae Jun;Lee, Yu Rin;Lim, Do Hyun;Ahn, Hyun Chul
    • The Journal of Information Systems
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    • v.30 no.4
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    • pp.21-42
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    • 2021
  • Purpose In order for companies to continue to grow, they should properly manage human resources, which are the core of corporate competitiveness. Employee turnover means the loss of talent in the workforce. When an employee voluntarily leaves his or her company, it will lose hiring and training cost and lead to the withdrawal of key personnel and new costs to train a new employee. From an employee's viewpoint, moving to another company is also risky because it can be time consuming and costly. Therefore, in order to reduce the social and economic costs caused by employee turnover, it is necessary to accurately predict employee turnover intention, identify the factors affecting employee turnover, and manage them appropriately in the company. Design/methodology/approach Prior studies have mainly used logistic regression and decision trees, which have explanatory power but poor predictive accuracy. In order to develop a more accurate prediction model, XGBoost is proposed as the classification technique. Then, to compensate for the lack of explainability, SHAP, one of the XAI techniques, is applied. As a result, the prediction accuracy of the proposed model is improved compared to the conventional methods such as LOGIT and Decision Trees. By applying SHAP to the proposed model, the factors affecting the overall employee turnover intention as well as a specific sample's turnover intention are identified. Findings Experimental results show that the prediction accuracy of XGBoost is superior to that of logistic regression and decision trees. Using SHAP, we find that jobseeking, annuity, eng_test, comm_temp, seti_dev, seti_money, equl_ablt, and sati_safe significantly affect overall employee turnover intention. In addition, it is confirmed that the factors affecting an individual's turnover intention are more diverse. Our research findings imply that companies should adopt a personalized approach for each employee in order to effectively prevent his or her turnover.

An Exploratory Study on Contactless Digital Economy: the Characteristics, Regulatory Issues and Resolutions (비대면 디지털 경제에 대한 탐색적 연구: 특성, 규제쟁점 및 개선방안을 중심으로)

  • Shim, Woohyun;Won, Soh-Yeon;Lee, Jonghan
    • Informatization Policy
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    • v.29 no.2
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    • pp.66-90
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    • 2022
  • The radical digital transformation and development of the contactless digital economy in the wake of the COVID-19 pandemic are increasing the need to solve various problems such as conflicts of interest among market participants and delays in related laws and regulations. This study investigates the concept and characteristics of the contactless digital economy and identifies the related regulatory issues and resolutions through literature review, news article analysis, and expert interviews. From the literature review, it is identified that the contactless digital economy has eight hyper-innovation characteristics: hyper-intelligence, hyper-connectivity, hyper-convergence, hyper-personalization, hyper-automation, hyper-precision, hyper-diversity, and hyper-trust. From news article analyses and expert interviews, this study identifies various regulatory issues, such as competition between incumbents and new entrants, the collision of constitutional rights, collision of social values, conflict between market participants, absence of laws and regulations, and existence of excessive market power, and then proposes a series of resolutions.

Making Southeast Asia Visible: Restoring the Region to Global History

  • Keck, Stephen L.
    • SUVANNABHUMI
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    • v.12 no.2
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    • pp.53-80
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    • 2020
  • Students of global development are often introduced to Southeast Asia by reading many of the influential authors whose ideas were derived from their experiences in the region. John Furnivall, Clifford Geertz, Benedict Anderson and James Scott have made Southeast Asia relevant to comprehending developments far beyond the region. It might even be added that others come to the region because it has also been the home to many key historical events and seminal social developments. However, when many of the best-known writings (and textbooks) of global history are examined, treatment of Southeast Asia is often scarce and in the worst cases non-existent. It is within this context that this paper will examine Southeast Asia's role in the interpretation of global history. The paper will consider the 'global history' as a historical production in order to depict the ways in which the construction of global narratives can be a reflection of the immediate needs of historians. Furthermore, the discussion will be historiographic, exhibiting the manner in which key global histories portrayed the significance of the region. Particular importance will be placed on the ways in which the region is used to present larger historical trajectories. Additionally, the paper will consider instances when Southeast Asia is either profoundly underrepresented in global narratives or misrepresented by global historians. Last, since the discussion will probe the nature of 'global history', it will also consider what the subject might look like from a Southeast Asian point of view. The paper will end by exploring the ways in which the region's history might be augmented to become visible to those who live outside or have little knowledge about it. Visual augmented reality offers great potential in many areas of education, training and heritage preservation. To draw upon augmented reality as a basic metaphor for enquiry (and methodology) means asking a different kind of question: how can a region be "augmented" to become (at least in this case) more prominent. That is, how can the region's nations, histories and cultures become augmented so that they can become the center of historical global narratives in their own right. Or, to put this in more familiar terms, how can the "autonomous voices" associated with the region make themselves heard?

Decomposition Analysis of Energy Use for Water Supply: From the Water-Energy Nexus Perspective (물 공급을 위한 에너지 사용 요인분해 분석: Water-Energy Nexus 관점에서)

  • Yoo, Jae-Ho;Jo, Yeon Hee;Kim, Hana;Jeon, Eui Chan
    • Journal of Korean Society on Water Environment
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    • v.38 no.5
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    • pp.240-246
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    • 2022
  • Water and energy are inextricably linked and referred to as 'Water-Energy Nexus'. Recently, this topic has been drawing a lot of attention from various studies due to the exacerbated water availability. Korea's water and energy consumption has been increasing consistently, which calls for better management. This paper aims to identify changes in electricity consumption in relation to water intake and purification processes. Using Log Mean Divisia Index (LMDI) Decomposition Analysis method, this study attributes the changes to major factors such as; Total population (population effect), household/population (structure effect), GDP/household (economic effect), and water-related energy use/GDP (unit effect). The population effect, structure effect, and economic effect contributed to an increase in water-related electricity consumption, while the unit effect contributed to a decrease. As of 2019, the economic effect increased the water supply sector's electricity consumption by 534 GWh, the population effect increased by 73 GWh, and the structure effect increased by 243 GWh. In contrast, the unit effect decreased the electricity consumption by -461 GWh. We would like to make the following suggestions based on the findings of this study; first, the unit effect must be improved by increasing the energy efficiency of water intake and purification plants and installing renewable energy power generation facilities. Second, the structure effect is expected to increase over time, and to mitigate it, water consumption must be reduced through water conservation policies and the improvement of water facilities. Finally, the findings of this study are expected to be used as foundational data for integrated water and energy management.

Critical Discourse Analysis on Drug Addiction (마약 중독에 대한 비판적 담론 분석)

  • Shin, Seon-Hee
    • The Journal of the Korea Contents Association
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    • v.22 no.9
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    • pp.712-726
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    • 2022
  • The purpose of this study is to find out what discourse the newspaper's articles produce and distribute about 'drug addiction' and to reveal the topography and meaning of the discourse. Data were collected by searching 'drug' 'drug addiction' as keywords for news articles in four daily newspapers in Korea. As a result of analyzing using Norman Fairclough's critical discourse analysis, first, the 'crime-punishment' discourse was dominant in textual analysis. Drug addiction is a social evil and a serious crime such as sex crimes, child crimes, and violence, so it should be strictly punished. Second, in the discourse practice analysis, drug addiction is a mental disease that needs treatment, so systematic management by the state is required. Third, in the socio-cultural practice analysis, drug addiction is a means of making money for economic benefit, is related to corruption of political power, and is an object that should be strongly controlled to prevent drug crimes from threatening the foundation of the state. Culturally, drug addiction stems from the motivation of pleasure seeking, and is the result of moral degradation. Through this analysis, the conversion to the 'disease-treatment' discourse and drug policies centered on treatment and rehabilitation were suggested as alternatives.

The Effect of Depression, Anxiety, and Stress on International Students' Adjustment to College Life in the Context of the COVID-19 Pandemics

  • kim, Jin-young;Park, Jung-Hee;Moise, Muhire;Yoon, Byoung-Gil;Kim, Yong-Seok
    • International Journal of Advanced Culture Technology
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    • v.10 no.3
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    • pp.1-10
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    • 2022
  • This study examined the relationship between depression, anxiety, stress, and adaptation to college life of international students living in South Korea during the COVID-19 pandemic and the factors affecting the adaptation to college life. This study was carried out between December 3, 2021, to January 25, 2022, on international students living in South Korea. The questionnaires were composed of self-reported questionnaires, and the survey URL was sent as text messages to international students who understood the purpose and rationale of this study and consented to participate in the survey. The data were analyzed using SPSS WIN 22.0, and t-test, ANOVA, Pearson's Correlation Coefficient, and hierarchical regression were performed. As a result of the study, the average score of the study subjects was 8.44 points for depression, 8.28 points for anxiety, and 9. 28 points for stress. factors with significant differences in adaptation to college life according to general characteristics were living means and smoking. The relationship between the main variables, it was significant with depression (r=-.785, p<.001), anxiety (r=-.593, p<.001), and stress (r=-.726, p<.001). There was one negative correlation. It was found that the higher the depression, anxiety, and stress, the lower the college life adaptation. Lastly, depression (β=-.666, p<.001) was the factor affecting foreign students' adaptation to college life, and the explanatory power was 62%. Therefore, for international students to adapt to college life, it is necessary to establish an institutional strategy to detect depression, a negative psychological emotion, at an early stage and to systematically manage it. Also, it is necessary to find an intervention plan to relieve depression that can be applied in social isolation situations due to the spread of infectious diseases. Research confirming the intervention effect should be upgraded.

Factors Influencing Depression in Late Middle-aged Men (후기 중년 남성의 우울 영향 요인)