• Title/Summary/Keyword: Social Structure Capital

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A Structural Framework on Psychological Adaptation and Sequential Changes during the COVID-19 Pandemic (코로나19 팬데믹에 대한 심리적 적응과 연쇄적 변화의 구조 모형)

  • Ko, Dong-Woo;Seo, Hyun-Sook
    • Korean Journal of Culture and Social Issue
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    • v.27 no.4
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    • pp.351-389
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    • 2021
  • This qualitative study aimed to develop a structural framework that explains the process of psychological adaptation and sequential changes being perceived by Korean people under the COVID-19 Pandemic past year. Setting a tentative analysis frame induced from antecedent literatures about psychological phenomena during the COVID-19 pandemic, the qualitative data were collected from 6 Korean adults by semi structured individual interviews. For the data, content analysis applied from the grounded theory were performed. As a result, the initial framework was extended and revised to describe the psychological phenomena under the pandemic. This paradigm structure includes the process of 'causal factors ⇒ psychological main phenomena ⇒ sequential results' being intervened by personal contextual situations and psychological characteristics, as moderators. The category of causal factors were the COVID-19 pandemic, relevant critical incidents, and social distancing policy. The main phenomena reflected either positive, negative, or complicated experiences. The sequential psychological results included transformation of cognitive system or behavior patterns. Various variables such as psychological sense of community and social responsibility, psychological capability for leisure, and positive psychological capital were found out as moderating factors. In discussion and conclusion, theoretical/practical implications of the results and direction to study in the future were suggested.

Bankruptcy Forecasting Model using AdaBoost: A Focus on Construction Companies (적응형 부스팅을 이용한 파산 예측 모형: 건설업을 중심으로)

  • Heo, Junyoung;Yang, Jin Yong
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.35-48
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    • 2014
  • According to the 2013 construction market outlook report, the liquidation of construction companies is expected to continue due to the ongoing residential construction recession. Bankruptcies of construction companies have a greater social impact compared to other industries. However, due to the different nature of the capital structure and debt-to-equity ratio, it is more difficult to forecast construction companies' bankruptcies than that of companies in other industries. The construction industry operates on greater leverage, with high debt-to-equity ratios, and project cash flow focused on the second half. The economic cycle greatly influences construction companies. Therefore, downturns tend to rapidly increase the bankruptcy rates of construction companies. High leverage, coupled with increased bankruptcy rates, could lead to greater burdens on banks providing loans to construction companies. Nevertheless, the bankruptcy prediction model concentrated mainly on financial institutions, with rare construction-specific studies. The bankruptcy prediction model based on corporate finance data has been studied for some time in various ways. However, the model is intended for all companies in general, and it may not be appropriate for forecasting bankruptcies of construction companies, who typically have high liquidity risks. The construction industry is capital-intensive, operates on long timelines with large-scale investment projects, and has comparatively longer payback periods than in other industries. With its unique capital structure, it can be difficult to apply a model used to judge the financial risk of companies in general to those in the construction industry. Diverse studies of bankruptcy forecasting models based on a company's financial statements have been conducted for many years. The subjects of the model, however, were general firms, and the models may not be proper for accurately forecasting companies with disproportionately large liquidity risks, such as construction companies. The construction industry is capital-intensive, requiring significant investments in long-term projects, therefore to realize returns from the investment. The unique capital structure means that the same criteria used for other industries cannot be applied to effectively evaluate financial risk for construction firms. Altman Z-score was first published in 1968, and is commonly used as a bankruptcy forecasting model. It forecasts the likelihood of a company going bankrupt by using a simple formula, classifying the results into three categories, and evaluating the corporate status as dangerous, moderate, or safe. When a company falls into the "dangerous" category, it has a high likelihood of bankruptcy within two years, while those in the "safe" category have a low likelihood of bankruptcy. For companies in the "moderate" category, it is difficult to forecast the risk. Many of the construction firm cases in this study fell in the "moderate" category, which made it difficult to forecast their risk. Along with the development of machine learning using computers, recent studies of corporate bankruptcy forecasting have used this technology. Pattern recognition, a representative application area in machine learning, is applied to forecasting corporate bankruptcy, with patterns analyzed based on a company's financial information, and then judged as to whether the pattern belongs to the bankruptcy risk group or the safe group. The representative machine learning models previously used in bankruptcy forecasting are Artificial Neural Networks, Adaptive Boosting (AdaBoost) and, the Support Vector Machine (SVM). There are also many hybrid studies combining these models. Existing studies using the traditional Z-Score technique or bankruptcy prediction using machine learning focus on companies in non-specific industries. Therefore, the industry-specific characteristics of companies are not considered. In this paper, we confirm that adaptive boosting (AdaBoost) is the most appropriate forecasting model for construction companies by based on company size. We classified construction companies into three groups - large, medium, and small based on the company's capital. We analyzed the predictive ability of AdaBoost for each group of companies. The experimental results showed that AdaBoost has more predictive ability than the other models, especially for the group of large companies with capital of more than 50 billion won.

The Political-Economic of Capitalism and its Effects on Spatial Dynamics (도시공간의 변화에 내재한 정치${\cdot}$경제적 논리의 규명-서울시 도심재개발을 대상으로-)

  • Park, Sun-Mee
    • Journal of the Korean Geographical Society
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    • v.28 no.3
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    • pp.213-226
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    • 1993
  • In Korea, the urban studies of geography have mainly dealt with such a series of research as system of urban place and internal structure of urban area. The existing studies have been carried out with ecological approach. Ecologists, now a days, regard organiation and transfor-mation of the urban space as the process of invasion, succession, and segregation. However it is more proper that cities should be considered not as fragmantary objects, as some ecologists insist, but as synthetic ones in social structure. This research, with adopting a case of the renewasl of central area in Seoul, tried to make it clear that the formation and transition of the city is a product of social structure and examined polical and economic logic which exists in variation of urban space in detail. The results of this study are as follows; Urban renewal of central area is closely related with production and reproduction in capitalist society. In urban center, as business activities had increased since 1973 due to decen-tralization of production process, the necessity of reorganizing the land use in existing central area accordingly increased. The urban renewal program of central area in Seoul was inrroduced under such situation. The urban renewal of central area reflecting the capital logic has changed the central area with six hundred year's tradition. From the urban renewal of central area, not only was the central area, which traditionally had been mixed with various fun-ctions, simplified into the unitary area of busi-ness, but also physical landscape changed. As the land lot in renewal area expanded into regular shape, buildings became larger and taller. The program tremendously raised the price of related area. Aiming at these profits caused by the raised price, a great number of capitalists participated in the program. And as the benefit ratio of the manufacture sector continuously dropped with the economic recession, the pro-gram was carried out much more vigorously. That was because the idle capital accumulated during the recession was invested in property sector and was self-proliferated. The urban renewal raised the land value of central area and drove out the people living in this area. The people moved into the whole parts of the city resulting diffused squatter settlements. And the urban changes in central area were results of the policy of municipal authorities, who supported and systematized the changes lawfully and administratively, as well as reali-zation of capital logic. Due to the renewal policies of central area in Seoul, much more renewals by the only capitalists were carried out than those by the people themselves living in that area. The integration of land ownership in the law of urban renewal shows the reason of that. Moreover, the law allows the third deve-loper to participate in the tasks and admits the land expropriation rights. The municipal autho-rities guaranteed the profitability of the tasks through finacial aid, tax benifit, and relaxation of regulations for construction. As examined above, the changes in the land use of urban space have been led not by the ecological process of development of the city itself, but by the restructuring of capitalism and the intervention of the government authorities.

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A Study of the Impact of Digital Capability and Personal Ability on the Intent to Continue Economic Activity : Focused on the Adjustment Effect of the Role Model (디지털 역량과 개인적 역량이 경제활동 지속 의도에 미치는 영향: 롤 모델의 조절 효과 중심으로)

  • Kim, Sang Jin;Ha, Kyu Soo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.5
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    • pp.125-141
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    • 2021
  • The rapidly changing social structure of the digital environment is having a significant impact on economic activities. That is also an important issue for Individuals who want to sustain economic activities and countries that support policies. Non-face-to-face industries have been revitalized due to the problem of human capital utilization attributed to aging population, the real economic recession caused by Corona 19, contraction of face-to-face economic activities, reduction of employment, and job instability. Accordingly, digital media contents based economic activities have become commonplace, and the government's main policy issue is to use human capital effectively for media contents based economic activities. Adaptation to the digital environment has become a necessity, not a choice, for those who wish to continue to be in employment. Therefore, this study analyzed the effects of digital and individual abilities on intention to sustain the economic activity and verified the modulation effect of the role model. In order to achieve the purpose of this research, an online survey was conducted on men and women aged 20 to 80 nationwide, and 382 of the 385 collected questionaires were analyzed. The SPSS 23.0 program was used to analyze this study, and the questionaire questions were measured using the Likert 5-point scale. As a result of the analysis, first, the ability to utilize media contents in digital capacity has a positive impact on the intention to sustain economic activity, and that the higher the ability to utilize the latest digital media contents such as SNS, the more likely the intention to sustain economic activity. Secondly, it was found that the financial strength of individuals' abilities was affected by the negative impact, and that the experiences were affected by positive(+) impact on the intention to sustain economic activity. Thirdly, the social environment has no significant effect on the intention to sustain economic activity. Fourth, it was found that family support amongst social support has a positive impact on the intention to sustain economic activity, and that various emotional support for families has increased intention to sustain economic activity. Fifth, the role model was found to have a positive(+) impact on economic sustainability, while the ability to utilize media content and family support played a modulating role on economic sustainability. Therefore, as a result of this research, the government's policy support for employment and entrepreneurship is required in accordance with digital media content based digital education and human structure in order to sustain economic activities.

A Investigation on the Quality of Shotcrete for Appliance of High-Performance Shotcrete (고성능 숏크리트 적응 가능성 파악을 위한 숏크리트 품질특성 검토)

  • Ma Sang-Joon;Choi Jae-Seok;Kim Dong-Min;Kim Jae-Shin
    • 한국터널공학회:학술대회논문집
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    • 2005.04a
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    • pp.131-141
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    • 2005
  • Korea shotcrete technology has been developed by constructing underground space, roads and rails for expanding Social Overhead Capital. To late, importance of shotcrete is raised due to the efforts for semi-permanent use of underground structure and a long term safety. Shotcrete testing method and quality criterion have been developed continusously in abroad, but there are no standard and quality criterion of shotcrete in Korea. International quality criterion has been used to domestic conditions, so various problems are occurred in construction field, material, mixture, equipment, and so on. In this study, to establish standard of domestic shotcrete, both criteria and quality of shotcrete were investigated and opinion poll was performed in the construction field. Indoor and field test were performed to investigate appliance possibility of high-performance shotcrete.

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The Effect of Relationship Building through SNS on an Individual's Intention to Share Information (SNS에서의 관계형성 정도와 개인의 정보공유 태도가 정보공유 의도에 미치는 영향)

  • Kim, Jongki;Kim, Jinsung
    • Informatization Policy
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    • v.19 no.2
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    • pp.57-84
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    • 2012
  • If we observe the formation of communities of people and participation methods within them, we can see that those communities are developing more efficiently due to the penetration of smart phones and the growth of SNS. This trend also has an impact on information sharing activity between people and enables more active information sharing than ever before. But information sharing on SNS does not just involve the SNS users sharing information with each other. Important factors affecting the information sharing activities include the type of relationship between the users and the attitude of the information sharing individuals. Accordingly, this study selected perceived social support, perceived social influence, and perceived network structure as the factors that affect the continuous intention of people to use SNS, and performed a higher order factor analysis on those factors. Between continuous intention to use SNS and intention to share information, we selected relationship quality and information sharing behavior and executed a path analysis between the factors. We carried out an empirical analysis by utilizing SPSS 18.0 and SmartPLS 2.0 as analysis tools. Using these tools, we investigated the factors influencing continuous intention to use SNS, and tested the significance between the role and path of relationship quality and information sharing behavior between continuous intention to use SNS and intention to share information.

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Emerging New Industrial Cluster along the Cheonggyechon-ro and Its Social Capital (청계천로변 전문상가의 신산업집적체형성과 사회적 자본의 특성)

  • 남기범
    • Journal of the Economic Geographical Society of Korea
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    • v.4 no.2
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    • pp.79-96
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    • 2001
  • This paper introduces a new type of industrial cluster developed at the CBD of Seoul. Conventionally, clusters are said to be consisted of hi-tech, often If activities, manufacturing industries or artisan craft industries with increasing vertical integration and performance usually supported by venture capitals and favorable business infrastructure, not to mention governments', be it central or local, incentive plans. The study area, Cheonggyechon region has long been a traditional CBD frame of Seoul, Korea, being troubled by deterioration, traffic jams, and environmental degradation as most inner cities experience. Recently. this region has transformed to the most dynamic and productive area not by IT industries but by apparel and fashion activities. The study of the developmental trajectory and key characteristics for this kind of industrial cluster can give us insight both for the transition of inner city and for the cluster theory. This Paper firstly briefly Profiles the growth of the Cheonggyechon region over the past decade. It then shows the current spatial and business structure of the new industrial cluster, focusing on the fact that transactions costs are reduced, the creation and flow of information improves. and the local institutions are prone to be most responsive to the new cluster's specialized needs. The third section presents the key components of the customized production-distribution-shopping cluster development process, emphasizing the localized networking. social capital, spontaneous institutionalization of associational economic climate, and cultural economy based on place-specific inertia. The paper concludes with some comments about the prospects and perils of the new industrial cluster of Seoul.

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An Analysis on the Characteristics of Global Automotive Production Network using the OECD Trade in Value Added Data (OECD 부가가치 기준 교역자료를 이용한 자동차산업 글로벌 생산 네트워크의 특성 분석)

  • Jeong, Jun Ho;Jo, Hyung Je
    • Journal of the Economic Geographical Society of Korea
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    • v.19 no.3
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    • pp.491-511
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    • 2016
  • This paper attempts to understand the nature and dynamics of global value chains in the auto industry using the OECD TiVA 2015 edition on the bilateral foreign value added in exports over the period 1995-2011 and employing the techniques of social network analysis such as the computation of network measures and visualization of value added trade flows. It is shown that there has been a tendency towards increasing production fragmentation both within and across regions. The automotive value-added network is found to have small-world properties with a hierarchical, clustered and dense structure. The differences among the US, Germany and China as major suppliers of foreign value added in global automotive value chains are remarkably revealed. Although the fragmentation of production has been developed on a global scale, a dichotomous tension between center and periphery and domestic and foreign capital lies behind it.

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The Network Analysis for Community Voluntary Organizations and Its Implication for Community Capacity Building Toward Health Promotion (지역사회 자발적 결사체의 연결망과 지역사회 역량)

  • Jung, Min-Soo;Cho, Byong-Hee;Lee, Sung-Cheon
    • Health Policy and Management
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    • v.17 no.4
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    • pp.54-81
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    • 2007
  • The paradigm of health promotion requests community participation and its active problem-solving. Community is conceptualized as a resource pool to be organized. Such resource is called community capacity. Community participation is a process of capacity building. Community voluntary associations are considered as valuable resource to be used for health promotion. This paper tried to identify the network structure among community voluntary associations and to infer the possibility to make such network of organizations participate in health promotion programs. Two survey data were used for this research: 1) Measurements and Evaluations of Community Capacity on Dobong-gu (N=94) 2) A development plan of health medicine service to be Healthy Gangdong-gu (N=69). The questionnaire included such variables measuring community capacity as leadership, membership, organizational resources, and inter-organizational network, etc. Both regions had the following common characteristics: 1) There were positive correlations between the organization's budget and membership. 2) Organizational types were associated with their founded years. Two regions showed the following differences: Dobong displayed the high density of community organizations, but Gangdong showed the low density. Dobong community organizations were able to be classified into three network clusters such as women & environments, youth & adolescent, and sports organizations. Each cluster of organizations favored the different type of health promotion programs. Gangdong community organizations were less developed, and not possible to be clustered. Depending upon the level of community capacity or community organizations' differentiation, the strategy of community participation could be settle down in different ways. Particularly the health agency had to pay more attention to support the growth of civil organizations.

Prospects and Economics of Offshore Wind Turbine Systems

  • Pham, Thi Quynh Mai;Im, Sungwoo;Choung, Joonmo
    • Journal of Ocean Engineering and Technology
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    • v.35 no.5
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    • pp.382-392
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    • 2021
  • In recent years, floating offshore wind turbines have attracted more attention as a new renewable energy resource while bottom-fixed offshore wind turbines reach their limit of water depth. Various projects have been proposed with the rapid increase in installed floating wind power capacity, but the economic aspect remains as a biggest issue. To figure out sensible approaches for saving costs, a comparison analysis of the levelized cost of electricity (LCOE) between floating and bottom-fixed offshore wind turbines was carried out. The LCOE was reviewed from a social perspective and a cost breakdown and a literature review analysis were used to itemize the costs into its various components in each level of power plant and system integration. The results show that the highest proportion in capital expenditure of a floating offshore wind turbine results in the substructure part, which is the main difference from a bottom-fixed wind turbine. A floating offshore wind turbine was found to have several advantages over a bottom-fixed wind turbine. Although a similarity in operation and maintenance cost structure is revealed, a floating wind turbine still has the benefit of being able to be maintained at a seaport. After emphasizing the cost-reduction advantages of a floating wind turbine, its LCOE outlook is provided to give a brief overview in the following years. Finally, some estimated cost drivers, such as economics of scale, wind turbine rating, a floater with mooring system, and grid connection cost, are outlined as proposals for floating wind LCOE reduction.