• Title/Summary/Keyword: Dependent Demand

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What Exacerbates the Probability of Business Closure in the Private Sector During the COVID-19 Pandemic? Evidence from World Bank Enterprise Survey Data

  • PHAM, Thi Bich Duyen;NGUYEN, Hoang Phong
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.6
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    • pp.69-79
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    • 2022
  • The purpose of the study is to look into the likelihood of private sector enterprises going bankrupt due to COVID-19 pandemic-related issues. The data for this study was taken from the World Bank's Enterprise Survey, which was intended to assess the impact of the COVID-19 pandemic on the business sector. This study uses the Ordinal Logit Method to analyze the model with dependent variables having ordinal values. The determinants reflect business performance, innovation, business relationships, and government support. According to the estimation results, a lower probability of business closures, illiquidity, and payment delays are found in businesses that maintain sales growth, operating hours, temporary workers, product portfolio, consumer demand, and input supply. Meanwhile, the increase in online business activities and receiving support from financial institutions and the government do not help businesses reduce the risk. Moreover, higher survival is found in manufacturing and developing countries. This implies the fragility of businesses in the retail and service sectors, especially for mega-enterprises in developed countries. In addition, the negative impact of the COVID-19 pandemic on businesses in Europe and West Asia is less severe than in other regions. The results imply policies to support the private sector during the pandemic, such as increasing labor market flexibility or rapidly implementing supportive policies.

Direct strength measurement of Timoshenko-beam model: Vibration analysis of double walled carbon nanotubes

  • Ghandourah, Emad;Hussain, Muzamal;Thobiani, Faisal Al;Hefni, Mohammed;Alghamdi, Sami
    • Structural Engineering and Mechanics
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    • v.84 no.1
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    • pp.77-83
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    • 2022
  • In the last ten years, many researchers have studied the vibrations of carbon nanotubes using different beam theories. The nano- and micro-scale systems have wavy shape and there is a demand for a powerful tool to mathematically model waviness of those systems. In accordance with the above mentioned lack for the modeling of the waviness of the curved tiny structure, a novel approach is employed by implementing the Timoshenko-beam model. Owing to the small size of the micro beam, these structures are very appropriate for designing small instruments. The vibrations of double walled carbon nanotubes (DWCNTs) are developed using the Timoshenko-beam model in conjunction with the wave propagation approach under support conditions to calculate the fundamental frequencies of DWCNTs. The frequency influence is observed with different parameters. Vibrations of the double walled carbon nanotubes are investigated in order to find their vibrational modes with frequencies. The aspect ratios and half axial wave mode with small length are investigated. It is calculated that these frequencies and ratios are dependent upon the length scale and aspect ratio.

Business Model Development of Facade Cleaning Robot (건물 외벽청소 로봇의 비즈니스 모델 개발)

  • Seo, Hyeon-Yeong;Choi, In-Hugh;Cho, Young-Jo;Sim, Min Kyu
    • The Journal of Korea Robotics Society
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    • v.17 no.3
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    • pp.381-386
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    • 2022
  • We develop a business model for facade cleaning service robot system that provides service by meeting the market needs and environments. The size of the facade cleaning market is growing rapidly in recent years due to the increasing importance of indoor space and the modern trend of building construction methods. Also, maintenance of exterior appearance of buildings has become an important factor in residential and commercial facilities. Though demand for facade cleaning services is rising, the current facade cleaning services are performed dangerously in a human labor-dependent way. It is desirable that the existing human resource service should be replaced with robot-based services. In addition, quantitative analysis of rental pricing model was conducted to propose effective launch of products to the market. The robot system is economically attractive from the consumer's point of view. When the actual facade cleaning robot service is released, it is expected that verification of the business models and more accurate analysis with specific figures can be performed.

Satisfaction of industrial health care managers regarding the work of industrial hygiene engineers: a cross-sectional study

  • Byung Sik Choi;Min Keun Kim;Joon Sakong
    • Journal of Yeungnam Medical Science
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    • v.40 no.1
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    • pp.58-64
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    • 2023
  • Background: A group health service is a system that delegates workplace health management to an entrusted institution. There have been various studies on group health services to date, but recent changes, such as an increase in foreign workers, are rapidly changing industry characteristics. Methods: Satisfaction was assessed using a 27-question survey distributed among 203 workplaces employing health professionals. The survey items consisted of general characteristics, comprehensive satisfaction, requirements for health professionals' work, and satisfaction with work environment management, ergonomic management, and healthcare management. Multiple regression and frequency analyses were performed. Results: The comprehensive satisfaction was 4.08 points on average, out of 5. The comprehensive satisfaction of health professionals in the industry was positively correlated with each factor. Hazardous materials and chemical management (material safety data sheets, MSDSs) were the most common requirements. Conclusion: A low level of satisfaction with work environment management indicates high demand for healthcare management. The working environment should be improved by identifying characteristics of the workplace, examining harmful substances, inspecting equipment, and enhancing worker methods. The shorter the work experience of health professionals, the more dependent they are on group health services. The variables affecting comprehensive satisfaction were the period of work, healthcare management satisfaction, and work environment management satisfaction. Most of the requirements of health professionals in the workplace were practical improvement case presentations, MSDSs, and legal document management.

Study on the Impact of Joining the CPTPP on the Korean Auto Industry (CPTPP 가입이 국내 자동차산업에 미치는 영향 연구)

  • Jung-Ran Cho
    • Korea Trade Review
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    • v.45 no.1
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    • pp.137-153
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    • 2020
  • On February 14, 2019, the government of Korea formally decided to consider the feasibility of joining the Comprehensive and Progressive Trans-Pacific Partnership (CPTPP) and has since been conducting bilateral consultations with individual member countries. In terms of the impact estimation, the CPTPP is actually a Korea-Japan FTA, and the most sensitive issue in the FTA is the opening of the auto industry market to Japan. Despite these circumstances, previous studies have predicted that the auto industry will be a beneficiary industry when joining the CPTPP. However, the Korean auto industry is opposed to joining the CPTPP. In order to investigate the cause of this discrepancy, this paper examines the problems of previous studies in estimating the impact of joining the CPTPP and found that the preceding study did not consider the industrial characteristics of the auto sector, especially in the context of Japan-Korea trade, and was heavily dependent on the Armington elasticity (structure) in the demand function of the GTAP CGE model. As a result, the domestic auto sector could lower prices and increase exports when joining the CPTPP. This paper attempts to precisely re-estimate the impact of joining the CPTPP on the auto sector in a way that corrects these problems by changing the CGE model and reflecting the major characteristics of the industry, with policy implications for the negotiation of CPTPP accession.

Recent progress in using Drosophila as a platform for human genetic disease research

  • Wan Hee Yoon
    • Journal of Genetic Medicine
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    • v.20 no.2
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    • pp.39-45
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    • 2023
  • As advanced sequencing technologies continue to uncover an increasing number of variants in genes associated with human genetic diseases, there is a growing demand for systematic approaches to assess the impact of these variants on human development, health, and disease. While in silico analyses have provided valuable insights, it is essential to complement these findings with model organism studies to determine the functional consequences of genetic variants in vivo. Drosophila melanogaster is an excellent genetic model for such functional studies due to its efficient genetic technologies, high gene conservation with humans, accessibility to mutant fly resources, short life cycles, and cost-effectiveness. The traditional GAL4-UAS system, allowing precise control of gene expression through binary regulation, is frequently employed to assess the effects of monoallelic variants. Recombinase medicated cassette exchange or CRISPR-Cas9-mediated GAL4 insertion within coding introns or substitution of gene body with Kozak-Gal4 result in the loss-of-function of the target gene. This GAL4 insertion strategy also enables the expression of reference complementary DNA (cDNA) or cDNA carrying genetic variants under the control of endogenous regulatory cis elements. Furthermore, the CRISPR-Cas9-directed tissue-specific knockout and cDNA rescue system provides the flexibility to investigate candidate variants in a tissue-specific and/or developmental-timing dependent manner. In this review, we will delve into the diverse genetic techniques available in Drosophila and their applications in diagnosing and studying numerous undiagnosed diseases over the past decade.

Glutamine Deprivation Inhibits Invasion of Human Prostate Carcinoma LnCap Cells through Inactivation of Matrix Metalloproteinases and Modulation of Tight Junctions (글루타민 결핍에 따른 Tight Junction 및 MMPs 활성 조절을 통한 전립선 암세포의 침윤 억제 현상)

  • Shin, Dong Yeok;Choi, Yung Hyun
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.42 no.8
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    • pp.1167-1174
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    • 2013
  • Cancer cells exhibit increased demand for glutamine-derived carbons to support anabolic processes. Indeed, the spectrum of glutamine-dependent tumors and the mechanisms through which glutamine supports cancer metabolism remain areas of active investigation. In the present study, we investigated the effects of glutamine deprivation on the correlation between tightening of tight junctions (TJs) and anti-invasive activity in human prostate carcinoma LnCap cells. Glutamine deprivation markedly inhibited cell motility and invasiveness in a time-dependent manner. The anti-invasive activity of glutamine deprivation was associated with an increased tightness of the TJ, which was demonstrated by an increase in transepithelial electrical resistance (TER). The activities of matrix metalloproteinase (MMP)-2 and MMP-9 were inhibited in a time-dependent fashion by glutamine deprivation, which was correlated with a decrease in expression of their mRNA and proteins and up-regulation of tissue inhibitors of metalloproteinases (TIMPs) expression. Furthermore, glutamine deprivation repressed the levels of the claudin family members, which are major components of TJs that play a key role in the control and selectivity of paracellular transport. Moreover, the levels of E-cadherin, a type I transmembrane glycoprotein, and snail, an epithelial to mesenchymal transition regulator and zinc finger transcription factor, were markedly modulated by glutamine deprivation. Taken together, these findings suggest that TJs and MMPs are critical targets of glutamine deprivation-induced anti-invasion in human prostate carcinoma LnCap cells.

The Adoption and Diffusion of Semantic Web Technology Innovation: Qualitative Research Approach (시맨틱 웹 기술혁신의 채택과 확산: 질적연구접근법)

  • Joo, Jae-Hun
    • Asia pacific journal of information systems
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    • v.19 no.1
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    • pp.33-62
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    • 2009
  • Internet computing is a disruptive IT innovation. Semantic Web can be considered as an IT innovation because the Semantic Web technology possesses the potential to reduce information overload and enable semantic integration, using capabilities such as semantics and machine-processability. How should organizations adopt the Semantic Web? What factors affect the adoption and diffusion of Semantic Web innovation? Most studies on adoption and diffusion of innovation use empirical analysis as a quantitative research methodology in the post-implementation stage. There is criticism that the positivist requiring theoretical rigor can sacrifice relevance to practice. Rapid advances in technology require studies relevant to practice. In particular, it is realistically impossible to conduct quantitative approach for factors affecting adoption of the Semantic Web because the Semantic Web is in its infancy. However, in an early stage of introduction of the Semantic Web, it is necessary to give a model and some guidelines and for adoption and diffusion of the technology innovation to practitioners and researchers. Thus, the purpose of this study is to present a model of adoption and diffusion of the Semantic Web and to offer propositions as guidelines for successful adoption through a qualitative research method including multiple case studies and in-depth interviews. The researcher conducted interviews with 15 people based on face-to face and 2 interviews by telephone and e-mail to collect data to saturate the categories. Nine interviews including 2 telephone interviews were from nine user organizations adopting the technology innovation and the others were from three supply organizations. Semi-structured interviews were used to collect data. The interviews were recorded on digital voice recorder memory and subsequently transcribed verbatim. 196 pages of transcripts were obtained from about 12 hours interviews. Triangulation of evidence was achieved by examining each organization website and various documents, such as brochures and white papers. The researcher read the transcripts several times and underlined core words, phrases, or sentences. Then, data analysis used the procedure of open coding, in which the researcher forms initial categories of information about the phenomenon being studied by segmenting information. QSR NVivo version 8.0 was used to categorize sentences including similar concepts. 47 categories derived from interview data were grouped into 21 categories from which six factors were named. Five factors affecting adoption of the Semantic Web were identified. The first factor is demand pull including requirements for improving search and integration services of the existing systems and for creating new services. Second, environmental conduciveness, reference models, uncertainty, technology maturity, potential business value, government sponsorship programs, promising prospects for technology demand, complexity and trialability affect the adoption of the Semantic Web from the perspective of technology push. Third, absorptive capacity is an important role of the adoption. Fourth, suppler's competence includes communication with and training for users, and absorptive capacity of supply organization. Fifth, over-expectance which results in the gap between user's expectation level and perceived benefits has a negative impact on the adoption of the Semantic Web. Finally, the factor including critical mass of ontology, budget. visible effects is identified as a determinant affecting routinization and infusion. The researcher suggested a model of adoption and diffusion of the Semantic Web, representing relationships between six factors and adoption/diffusion as dependent variables. Six propositions are derived from the adoption/diffusion model to offer some guidelines to practitioners and a research model to further studies. Proposition 1 : Demand pull has an influence on the adoption of the Semantic Web. Proposition 1-1 : The stronger the degree of requirements for improving existing services, the more successfully the Semantic Web is adopted. Proposition 1-2 : The stronger the degree of requirements for new services, the more successfully the Semantic Web is adopted. Proposition 2 : Technology push has an influence on the adoption of the Semantic Web. Proposition 2-1 : From the perceptive of user organizations, the technology push forces such as environmental conduciveness, reference models, potential business value, and government sponsorship programs have a positive impact on the adoption of the Semantic Web while uncertainty and lower technology maturity have a negative impact on its adoption. Proposition 2-2 : From the perceptive of suppliers, the technology push forces such as environmental conduciveness, reference models, potential business value, government sponsorship programs, and promising prospects for technology demand have a positive impact on the adoption of the Semantic Web while uncertainty, lower technology maturity, complexity and lower trialability have a negative impact on its adoption. Proposition 3 : The absorptive capacities such as organizational formal support systems, officer's or manager's competency analyzing technology characteristics, their passion or willingness, and top management support are positively associated with successful adoption of the Semantic Web innovation from the perceptive of user organizations. Proposition 4 : Supplier's competence has a positive impact on the absorptive capacities of user organizations and technology push forces. Proposition 5 : The greater the gap of expectation between users and suppliers, the later the Semantic Web is adopted. Proposition 6 : The post-adoption activities such as budget allocation, reaching critical mass, and sharing ontology to offer sustainable services are positively associated with successful routinization and infusion of the Semantic Web innovation from the perceptive of user organizations.

A study on the Success Factors and Strategy of Information Technology Investment Based on Intelligent Economic Simulation Modeling (지능형 시뮬레이션 모형을 기반으로 한 정보기술 투자 성과 요인 및 전략 도출에 관한 연구)

  • Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.19 no.1
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    • pp.35-55
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    • 2013
  • Information technology is a critical resource necessary for any company hoping to support and realize its strategic goals, which contribute to growth promotion and sustainable development. The selection of information technology and its strategic use are imperative for the enhanced performance of every aspect of company management, leading a wide range of companies to have invested continuously in information technology. Despite researchers, managers, and policy makers' keen interest in how information technology contributes to organizational performance, there is uncertainty and debate about the result of information technology investment. In other words, researchers and managers cannot easily identify the independent factors that can impact the investment performance of information technology. This is mainly owing to the fact that many factors, ranging from the internal components of a company, strategies, and external customers, are interconnected with the investment performance of information technology. Using an agent-based simulation technique, this research extracts factors expected to affect investment performance on information technology, simplifies the analyses of their relationship with economic modeling, and examines the performance dependent on changes in the factors. In terms of economic modeling, I expand the model that highlights the way in which product quality moderates the relationship between information technology investments and economic performance (Thatcher and Pingry, 2004) by considering the cost of information technology investment and the demand creation resulting from product quality enhancement. For quality enhancement and its consequences for demand creation, I apply the concept of information quality and decision-maker quality (Raghunathan, 1999). This concept implies that the investment on information technology improves the quality of information, which, in turn, improves decision quality and performance, thus enhancing the level of product or service quality. Additionally, I consider the effect of word of mouth among consumers, which creates new demand for a product or service through the information diffusion effect. This demand creation is analyzed with an agent-based simulation model that is widely used for network analyses. Results show that the investment on information technology enhances the quality of a company's product or service, which indirectly affects the economic performance of that company, particularly with regard to factors such as consumer surplus, company profit, and company productivity. Specifically, when a company makes its initial investment in information technology, the resultant increase in the quality of a company's product or service immediately has a positive effect on consumer surplus, but the investment cost has a negative effect on company productivity and profit. As time goes by, the enhancement of the quality of that company's product or service creates new consumer demand through the information diffusion effect. Finally, the new demand positively affects the company's profit and productivity. In terms of the investment strategy for information technology, this study's results also reveal that the selection of information technology needs to be based on analysis of service and the network effect of customers, and demonstrate that information technology implementation should fit into the company's business strategy. Specifically, if a company seeks the short-term enhancement of company performance, it needs to have a one-shot strategy (making a large investment at one time). On the other hand, if a company seeks a long-term sustainable profit structure, it needs to have a split strategy (making several small investments at different times). The findings from this study make several contributions to the literature. In terms of methodology, the study integrates both economic modeling and simulation technique in order to overcome the limitations of each methodology. It also indicates the mediating effect of product quality on the relationship between information technology and the performance of a company. Finally, it analyzes the effect of information technology investment strategies and information diffusion among consumers on the investment performance of information technology.

A Comparison of Korea Standard HD Map for Actual Driving Support of Autonomous Vehicles and Analysis of Application Layers (자율주행자동차 실주행 지원을 위한 표준 정밀도로지도 비교 및 활용 레이어 분석)

  • WON, Sang-Yeon;JEON, Young-Jae;JEONG, Hyun-Woo;KWON, Chan-Oh
    • Journal of the Korean Association of Geographic Information Studies
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    • v.23 no.3
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    • pp.132-145
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    • 2020
  • By coming of the 4th industrial revolution era, HD map have became a key infrastructure for determining precise location of autonomous driving in areas of futuristic cars, logistics and robots. Autonomous vehicles have became more dependent on HD map to determine the exact location of objects detected by various sensors such as LiDAR, GNSS, Radar, and stereo cameras as well as self-location decisions. By actualizing autonomous driving and C-ITS technologies, the demand for precise information on HD map have increased. And also the demand for the creation of new information based on the convergence of various changes and real-time information have increased. In this study, domestic and international HD map standards and related environments have analyzed. Based on this, usability has researched which comparison with standard HD map established by various institutions. Additionally, usability of standard HD map have studied for applying actual autonomous vehicles by reworking HD map. By the result of study, standard HD map have well established to use by various institutions. If further research about layer classification and definition by institutions will carried out based on this study, it has expected that and efficient establishment and renewal of HD map will take place.