• Quality Improvement in Health Care
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• v.28 no.1
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• pp.2-13
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• 2022

Purpose: This study assessed the status of the Development and Utilization of critical pathways (CP) in South Korea. Methods: We surveyed 195 hospitals obtained on the Korean Hospital Association website. Data were collected using structured questionnaires for staff members in charge of CP management personnel in these hospitals. The questionnaire included CP developed by the institutions, the coverage rates and completion rates of CP in the current year, and management indicators related to CP. The questionnaire also included CP support systems and content within the institutions and questions regarding the advantages of CP utilization and obstacles associated with the CP development process. Results: Analysis of the responses from 70 hospitals (35.9% response rate) showed that a total of 1,370 CP sets were developed. The number of CP related to surgery departments was 365 (26.6%), and CP related to surgery and procedure was 1,093 (79.8%), respectively. The CP coverage rate was the most frequently used indicator to monitor the effect of CP (97.1%), followed by the completion rate (90.0%) and the length of stay in hospital (61.4%). CP managers reported that CP were highly useful for communication (3.39±0.493) and accurate information provision (3.39±0.491). The perception that CP violated doctors' autonomy in treatment was relatively low (2.87±0.645). Conclusion: It is necessary to establish an infrastructure in hospitals for CP. CP can facilitate communication and provide accurate information.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.899-904
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• 2022

As the world becomes an aging society due to a decrease in the birth rate and an increase in life expectancy, a system for health management of the elderly population is needed. Among them, various studies on occupancy and activity types are being conducted for smart home care services for indoor health management. In this paper, we propose a random forest model that classifies activity type as well as occupancy status through indoor temperature and humidity, CO2, fine dust values and UWB radar positioning for smart home care service. The experiment measures indoor environment and occupant positioning data at 2-second intervals using three sensors that measure indoor temperature and humidity, CO2, and fine dust and two UWB radars. The measured data is divided into 80% training set data and 20% test set data after correcting outliers and missing values, and the random forest model is applied to evaluate the list of important variables, accuracy, sensitivity, and specificity.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.66-75
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• 2022

The manufacturing industry is the foundation that drives economic growth, and manufacturing innovation is essential for sustainable growth advantage and the transition into a digital economy. Therefore, major countries actively support the field of simulations, which incorporate information and communication technologies into manufacturing, and announce various policies at the national level along with increasing investment. Simulation technology virtualizes product development processes to replace physical production and experimentation of products, dramatically reducing time and costs. In South Korea, the Korea Institute of Science and Technology Information (KISTI) has supported manufacturing companies for about 14 years by providing relevant technologies. This study uses the input-output table for the Bank of Korea to analyze the economic ripple effect. First, we identified the domestic industrial sector dealing with the supercomputing-based simulation industry. Then we analyzed its ripple effects by dividing them into the production inducement effect, value-added inducement effect, employment inducement effect, and forward/backward linkage effect. Consequently, when the supercomputing simulation budget of KISTI (28.3 billion won, 2007-2020) was set as an input coefficient, the analysis showed 45.1 billion won as the production inducement effect, 24.7 billion won as the value-added inducement effect, and 282 individuals per 1 billion won as the employment inducement effect. This study is significant in that it derived the effects of the inputs by analyzing the economic ripple effects of the projects of KISTI, which have been supporting South Korean manufacturing companies for the past 14 years with supercomputing-based simulations.

• Computers and Concrete
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• v.33 no.1
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• pp.55-75
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• 2024

The present study introduces an optimum performance soft computing model for predicting the compressive strength of high-performance concrete (HPC) by comparing models based on conventional (kernel-based, covariance function-based, and tree-based), advanced machine (least square support vector machine-LSSVM and minimax probability machine regressor-MPMR), and deep (artificial neural network-ANN) learning approaches using a common database for the first time. A compressive strength database, having results of 1030 concrete samples, has been compiled from the literature and preprocessed. For the purpose of training, testing, and validation of soft computing models, 803, 101, and 101 data points have been selected arbitrarily from preprocessed data points, i.e., 1005. Thirteen performance metrics, including three new metrics, i.e., a20-index, index of agreement, and index of scatter, have been implemented for each model. The performance comparison reveals that the SVM (kernel-based), ET (tree-based), MPMR (advanced), and ANN (deep) models have achieved higher performance in predicting the compressive strength of HPC. From the overall analysis of performance, accuracy, Taylor plot, accuracy metric, regression error characteristics curve, Anderson-Darling, Wilcoxon, Uncertainty, and reliability, it has been observed that model CS4 based on the ensemble tree has been recognized as an optimum performance model with higher performance, i.e., a correlation coefficient of 0.9352, root mean square error of 5.76 MPa, and mean absolute error of 4.1069 MPa. The present study also reveals that multicollinearity affects the prediction accuracy of Gaussian process regression, decision tree, multilinear regression, and adaptive boosting regressor models, novel research in compressive strength prediction of HPC. The cosine sensitivity analysis reveals that the prediction of compressive strength of HPC is highly affected by cement content, fine aggregate, coarse aggregate, and water content.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.155-167
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• 2024

Distribution and logistics industries contribute some of the biggest GDP(gross domestic product) in South Korea and the number of related companies are quarter of the total number of industries in the country. The number of retail tech companies are quickly increased due to the acceleration of the online and untact shopping trend. Furthermore, major distribution and logistics companies try to achieve integrated data management with the fulfillment process. In contrast, small and medium distribution companies still lack of the capacity and ability to develop digital innovation and smartization. Therefore, in this paper, a deep learning-based demand forecasting & recommendation model is proposed to improve business competitiveness. The proposed model is developed based on real sales transaction data to predict future demand for each product. The proposed model consists of six deep learning models, which are MLP(multi-layers perception), CNN(convolution neural network), RNN(recurrent neural network), LSTM(long short term memory), Conv1D-BiLSTM(convolution-long short term memory) for demand forecasting and collaborative filtering for the recommendation. Each model provides the best prediction result for each product and recommendation model can recommend best sales product among companies own sales list as well as competitor's item list. The proposed demand forecasting model is expected to improve the competitiveness of the small and medium-sized distribution and logistics industry.

• Journal of Venture Innovation
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• v.7 no.3
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• pp.183-228
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• 2024

This study aimed to develop a competency evaluation scale tailored to the specific needs of key talent in the ICT startup sector. Existing competency assessment tools are mostly designed for environments in large corporations or traditional small and medium-sized enterprises, failing to adequately reflect the dynamic requirements of rapidly evolving startups. For startups, where a small number of individuals directly impact company success, key talent is a critical asset. Accordingly, this study sought to create a scale that measures the competencies suited to the challenges and opportunities faced by startups, helping domestic startups establish more effective talent management strategies. The research initially selected 71 items through a literature review and in-depth interviews. Based on expert feedback that emphasized the need for more precise and clear descriptions, the item descriptions were revised, and a total of 65 items were developed through four rounds of content validation. Following preliminary and main surveys, a final set of 58 items was developed. The main survey conducted further factor analysis based on the three broad competency factors?knowledge, skills, and attitude?identified in the preliminary survey. As a result, 10 latent factors emerged: 6 items for task comprehension, 6 items for practical experience (tacit knowledge), 6 items for collaboration, 9 items for management and problem-solving, 9 items for practical skills, 4 items for self-direction, 5 items for goal orientation, 5 items for adaptability, 5 items for relationship orientation, and 3 items for organizational loyalty. The developed scale comprehensively covers the multifaceted nature of competencies, allowing for a thorough evaluation of essential skills such as technical ability, teamwork, innovation, and leadership, which are critical for startups. Therefore, the scale provides a tool that helps startup managers objectively and accurately assess candidates' competencies. It also supports the growth of employees within startups, maximizing the overall organizational performance. By utilizing this tool, startups can build a strong internal talent pool and continuously enhance employees' competencies, thereby strengthening organizational competitiveness. In conclusion, the competency evaluation scale developed in this study is a customized tool that aligns with the characteristics of startups and plays a crucial role in securing sustainable competitiveness in rapidly changing market environments. Additionally, it offers practical guidance to support the successful growth of domestic startups and help them maintain their competitive edge in the market, contributing to the development of the startup ecosystem and the growth of the national economy.

• Review of Culture and Economy
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• v.20 no.2
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• pp.19-45
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• 2017

This paper aims to apply our research and theorization on arts entrepreneurship to entrepreneurs active in the arts and cultural sector. Our goal is to develop proposals for practical actions that can support both arts entrepreneurs and supportive arts advocates. Using Action Research methodology, we hosted and facilitated two workshops with selected groups of arts entrepreneurs. Prior to the workshops we designed a questionnaire, based on the competency theory, to assess the qualities and characteristics of the participants. During the workshops we conducted surveys, interviews, and made observations in order to further understand the knowledge, experiences, motivations, capabilities, and attitudes necessary to successful arts entrepreneurship. We also conducted in-depth follow-up interviews with participants as a cross-check. We found that most of the participating arts entrepreneurs had a low understanding of the technology required for effective arts entrepreneurship, which has resulted in insufficient managerial support for artistic innovation. In addition, we found that participants lacked the skills and clear vision to construct a viable economic engine for their organization. Nevertheless, in light of the considerable strengths and high levels of enthusiasm and commitment participants evinced, we believe that their deficits can be corrected with education and training. Thus, we conclude by discussing the path forward and outlining a proposal to develop an innovative educational program on the daily operations of arts management that emphasizes applied technology and creating financial sustainability.

• Journal of vocational education research
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• v.35 no.4
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• pp.109-129
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• 2016

Korea has recently invested much of its effort in fostering talents in scientific fields to establish a foundation for sustainable future growth. From this perspective, the ministry of education has come up with a special rule aimed at achieving the substantiality of engineering schools in universities. The ministry has been providing educational support by providing a tech-innovation center, industry-oriented education, and policies such as PRIME. Despite this support, most students in the natural science field end up being hired in fields not related to their majors. There has been a growing opinion regarding the need for career education for these students. In this research, based on a social cognitive career theory (SCCT) model that provides a comprehensive understanding of career development, this research would like to practically examine the relationship among college students' career preparation behaviors and influencing variables, such as grit, career decision-making self-efficacy, outcome expectation, and major interest. Data from 153 natural-science majors at A college in Korea were collected and analyzed using path analysis. The result was that the data strongly supported the model explaining the relationship between career preparation behaviors and influencing variables. Based on this result, we propose that career education that can promote grit, career decision-making self-efficacy, outcome expectation, and major interest is required to encourage students in the field of the natural sciences to pursue career preparation behaviors related to their majors.

• The Journal of Society for e-Business Studies
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• v.24 no.1
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• pp.29-48
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• 2019

Recently, product design innovation to improve user experience has been perceived as a core element of enterprise competitiveness due to the fierce market competition and decrease of the technological gap between companies, but there is insufficient services to support the product experience evaluation of small and medium-sized companies (SMCs). The aim of this study is to develop a web-based product user experience evaluation and certification system supporting product design practices for SMCs. For system interface design, we conducted systematic functional requirement elicitation methods such as user survey, workflow analysis, user task definition, and function definition. Then main functions, information structure, navigation method, and detailed graphic user interfaces were developed with consideration of user interactions and requirements. In particular, it provides the databases for evaluation efficiency to support the evaluation process above a certain level of performance and efficiency, and knowledge databases to utilize in the evaluation and product design improvement. With help of the developed service platform, It is expected that the service platform would enhance SMCs' product development capability with regard to the user experience evaluation by connecting the consulting firms with SMCs.

• Journal of the Korean Geographical Society
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• v.47 no.3
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• pp.375-389
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• 2012

Many policy makers believe that geographically clustered business activities, in order to stimulate regional innovation, are the keys to development. Underlying the assumption between cluster and development, mere co-located forms engaged in innovative process helped from knowledge transmission locally. To address the constraints of creative economy, creative milieu require networking to support innovation activities. This paper examines the development of the mini cluster reconsidered in creative milieu that shifted environment development through network activities. It shows that the powerful node get more powerful, weak node get weaker in institutional network. Moreover, the significant of cluster in creative milieu is that brings out synergy to spill over knowledge through inter-relationship based on face-to-face meeting. Creative milieu benefits from and contributes to the competitiveness of the city, they are also embedded in its network activities.