• Journal of Digital Convergence
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• v.16 no.7
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• pp.27-34
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• 2018

This study was conducted to identify the contents of major consulting needs of SMEs using Big Data and to suggest the efficiency of operation. The subjects of the study were counseling cases posted on the website of the Business Support Center of the Ministry of SMEs and Startups. To do this, from 2009 to March 2018, we crawled about 7,000 cases of counseling cases, followed by word cloud analysis centering on effective keyword. The main results were as follows: First, the frequency of counseling cases in each field was found in the order of establishment, management strategy, human resources, financial order. Second, in word cloud analysis, the most frequent keyword related to counseling demand were small businesses, exports, methods, procedures, registration and authentication. In this study, we obtained research results that we can improve the efficiency of the policy in real time from a new point of view by conducting big data analysis on public policy.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.591-598
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• 2020

Since COVID-19's 1st pandemic came in February 2020, the demand for telemedicine grew greatly that in most countries the deregulation for telemedicine policy have been implemented in more countries. Also in Korea, with the name of 'Non-face-to-face Treatment' telemedicine began to be approved. Telemedicine having strength in chronic disease management has been effective in more and more specialties along with the recent development of ICT that it is expected to contribute to the improvement of the quality of healthcare service and creation of new treatment model. On the contrary it may also exacerbate the distortion in the hospital healthcare service industry in Korea, which is the excessive tipping toward large hospitals. So the dual promotion policy approach in which the settlement of family doctors system extensively utilizing telemedicine for chronic disease management and the support for tertiary hospitals and hospitals focusing on treating foreign patients to provide quality service using telemedicine technology are pursued simultaneously are recommended.

• Journal of Korean Society of Rural Planning
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• v.13 no.3
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• pp.103-110
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• 2007

Land development policy in Korea, characterized by its supply-oriented policy, has driven rapid economic development. However, it has a negative impact on the natural environment across the country. Especially, as the introduction of quashi-farmland system with the deregulation of agricultural land development in the late 1990s, numerous unfavorable landscape features such as road, motels and apartment have emerged in the rural area. As those interfered irreversible rural landscapes have been expanded, the demand for well preserved rural landscapes have been increased. The objectives of this study, thus, is to suggest the mitigations between the land development and conservation of natural landscape. As such, this study examines the recognition of current rural landscape management status through 118 students with two groups of landscape architecture majored (50 people) and non-landscape majored (68). Both group express the negative impression of current rural landscape management system in general and they pointed out the major landscape problems are caused from inappropriate land use. However, in detail those two groups respond differently, for example, the first group selected the damaged landscape is the second cause of the landscape problem, while the other group selected the poorly maintained settlements. Based on the analysis of the survey, this study suggests 3 recommendations in order to improve the sustainable rural landscape as establishing the proper rural land use planning system, building local governments' capacity to actively participate in the rural landscape management, and preparing the landscape management plans considering area distinctive characteristics.

• Safety and Health at Work
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• v.6 no.3
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• pp.200-205
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• 2015

Background: Construction activity has made considerable breakthroughs in the past two decades on the back of increases in development activities, government policies, and public demand. At the same time, occupational health and safety issues have become a major concern to construction organizations. The unsatisfactory safety performance of the construction industry has always been highlighted since the safety management system is neglected area and not implemented systematically in Indian construction organizations. Due to a lack of enforcement of the applicable legislation, most of the construction organizations are forced to opt for the implementation of Occupational Health Safety Assessment Series (OHSAS) 18001 to improve safety performance. Methods: In order to better understand factors influencing the implementation of OHSAS 18001, an interpretive structural modeling approach has been applied and the factors have been classified using matrice d'impacts croises-multiplication $appliqu{\acute{e}}$ a un classement (MICMAC) analysis. The study proposes the underlying theoretical framework to identify factors and to help management of Indian construction organizations to understand the interaction among factors influencing in implementation of OHSAS 18001. Results: Safety culture, continual improvement, morale of employees, and safety training have been identified as dependent variables. Safety performance, sustainable construction, and conducive working environment have been identified as linkage variables. Management commitment and safety policy have been identified as the driver variables. Conclusion: Management commitment has the maximum driving power and the most influential factor is safety policy, which states clearly the commitment of top management towards occupational safety and health.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.103-114
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• 2010

People generally focus on the supply side when conducting a study on the movie industry. However, to understand the movie industry better, one needs to analyze both sides - the demand and supply of movies. This paper analyzes demand-side factors that have long been taken for granted in Korea's movie industry. The study used data for 1991~2008 on the following demand-factors : the average ticket prices, the number of working days and hours, the average personal income, the number of spectators for the two major professional sports, cable TV, the number of movies released each year and the number of movie screens. This study shows that ticket prices do not conform to the law of demand. According to the law of demand, increasing price leads to a decline in demand. However, in reality, the number of viewers went up along with ticket prices. The study found that demand for movies was correlated to income levels and leisure time. An increase in the number of leisure hours and income levels pushed up demand. Contrary to general belief, a growth in the availability of substitutes, such as professional sports(soccer and baseball), did not result in a fall in demand for movies. The audiences for both sports and movies grew simultaneously as the amount of leisure time increased. Contrary to the general expectations that more diversified genres of movies will draw larger audiences by satisfying different individual tastes, the diversification had little impact, but the number of movie screens was positively correlated with audience size. In sum, changes in ticket prices and the quantity of substitutes had little influence on demand in the movie industry. Rather, it was the supply side of the industry that induced demand.

• Health Policy and Management
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• v.30 no.1
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• pp.72-81
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• 2020

Background: The out-of-pocket maximum is one of the distinctive healthcare systems which sets a ceiling on co-payment in order to reduce the burden of households from the unpredictable medical expenditure. However, this leads to an increase in the demand for healthcare services especially in long-term care hospitals (LTCHs) in Korea. Methods: This study analyzed the influence factor of medical service overuse of 165,592 inpatients in LTCHs which out-of-pocket maximum is applied, by utilizing data from the National Health Insurance Service (2016). Based on Anderson Model, the medical service overuse, as a dependent variable, was defined as long-stay admission more than 180 days at the LTCHs. Independent variable was comprised of predisposing factors (gender, age), enabling factors (income level, types of out-of-pocket maximum) and need factors (illness level, patient use of tertiary hospital). Results: The most powerful factor of medical service overuse in LTCHs was availability of pre-payment for the out-of-maximum (odds ratio [OR], 191.66; p<0.001). This tendency was found in high income level status (p<0.001). Furthermore, mild inpatients (OR, 1.50; p<0.001) which had no experience with the tertiary hospitals (OR, 2.06; p<0.001) were more relevant to the medical service overuse in LTCHs, compared to the severe inpatients. Conclusion: It is suggested that a separate standard of out-of pocket maximum with regards to LTCHs is required to secure the beneficial functions of long-term hospitals and prevent unnecessary financial leakage to achieve sustainable and financially sound National Health Insurance.

• Quality Improvement in Health Care
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• v.27 no.2
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• pp.2-17
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• 2021

Purpose: The purpose of this study is to seek in-depth perspectives of stakeholders on the necessity and specific criteria for designating a specialized hospital for urologic diseases. Methods: Eight participants experts in urology medicine and specialized hospital system were divided into four groups. Following the semi-structured guidelines, an in-depth interview was conducted twice and a focus group discussion was conducted three times. All the interviews were transcribed verbatim and analyzed. Results: The majority of participants predicted that there would be demand for specialized hospitals for urologic diseases. The criteria of designating a specialized hospital, such as the number of hospital beds and quality of health care, have to be modified in consideration of the specificity of urology. The introduction of a specialized hospital would improve the healthcare delivery system, positively affecting hospitals and patients. Furthermore, government support is essential for the maintenance of specialized hospital systems as urology hospitals experience difficulties in generating profits. Conclusion: This study is expected to be used as base data for introducing and operating a specialized hospital for urologic diseases. In addition, it is expected that the methodology and results of this study would encourage follow-up studies on specialized hospitals and provide guidelines to evaluate the effectiveness of such hospitals in other medical fields.

• Information Systems Review
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• v.12 no.1
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• pp.189-207
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• 2010

We applied IT ecosystem analysis to Smart Grid system in this paper and thereby compared various arguments about Smart Grid technologies against the reality of the power generation and distribution in South Korea with a special attention to the power distribution side. Our work attempts to propose policy implications in the government-level based on a firm-level analysis using the framework of the competitive strategy and advantage. The Smart Grid initiative is expected to enhance the efficiency in the power generation and distribution. In addition, the Smart Grid initiative aims at capturing the opportunities in the electric power business such as parts, components, supplies, and system products in the global arena. Prerequisites of smart distribution system include building infrastructure based on smart distribution parts, information systems, communication technologies, and developing various application programs and interfaces that would interact with the consumers. Consumers are expected to play an integral role by changing their consumption patterns in response to dynamic pricing and quality choices enabled by the smart distribution technologies. In order to induce the consumers to participate actively in the program, firms and policy makers should consider providing consumers economic incentives and proper education for better understanding of new technologies. Our work helps policy makers and firm better understand the nature of technology and stakeholders for the successful implementation of smart distribution technologies.

• The Korean Journal of Applied Statistics
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• v.32 no.5
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• pp.703-720
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• 2019

The influence of temperature on electricity demand is increasing due to extreme weather and climate change, and the climate impacts involves nonlinearity, asymmetry and complexity. Considering changes in government energy policy and the development of the fourth industrial revolution, it is important to assess the climate effect more accurately for stable management of electricity supply and demand. This study aims to analyze the effect of temperature change on electricity demand using the partial linear model. The main results obtained using the time-unit high frequency data for meteorological variables and electricity consumption are as follows. Estimation results show that the relationship between temperature change and electricity demand involves complexity, nonlinearity and asymmetry, which reflects the nonlinear effect of extreme weather. The prediction accuracy of in-sample and out-of-sample electricity forecasting using the partial linear model evidences better predictive accuracy than the conventional model based on the heating and cooling degree days. Diebold-Mariano test confirms significance of the predictive accuracy of the partial linear model.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.205-211
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• 2020

The method of predicting the future may be predicted by technical characteristics or technical performance. Therefore, technology prediction is used in the field of strategic research that can produce economic and social benefits. In this study, we predicted the future market through the study of how to predict the future with these technical characteristics. The future prediction method was studied through the prediction of the time when the market occupied according to the demand of special product. For forecasting market demand, we proposed the future forecasting model through comparison of representative quantitative analysis methods such as CAGR model, BASS model, Logistic model and Gompertz Growth Curve. This study combines Rogers' theory of innovation diffusion to predict when products will spread to the market. As a result of the research, we developed a methodology to predict when a particular product will mature in the future market through the spread of various factors for the special product to occupy the market. However, there are limitations in reducing errors in expert judgment to predict the market.