• Journal of the Economic Geographical Society of Korea
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• v.22 no.3
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• pp.291-303
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• 2019

This study analyzed the changes in the industrial environment surrounding the Gumi region and the status of the industrial crisis in the Gumi area amid such changes. The Gumi region is experiencing a more turbulent period than ever in the environment changes at the international, national and local levels, such as the transition to the Fourth Industrial Revolution, the weakening of the competitiveness of key industries including mobile devices and displays, and the moving-out of core companies such as Samsung and LG Group. Accordingly, efforts have been made to diversify the industrial structure by fostering industry of automobile parts, high-tech medical devices and carbon materials to cope with and adapt to environmental changes at the regional level. However, the Gumi region is still locked in to the mono-cultural, large enterprise-dependent industrial structure centering on the mobile and display sectors, failing to overcome the regional industrial crisis and stagnating the overall local economy. The relocation of large companies began to increase in the 2010s, reducing the protection of large corporations against environmental changes at the corporate level. As a result, the crisis factors of small and mediumsized enterprises are gradually expanding to the national and international scale and working more complexly, which is beyond the level they can afford. So it is highly likely that the current industrial crisis will deepen. Therefore, it is necessary to strengthen the resilience to adapt to changes in the environment when it comes to overcoming the industrial crisis in Gumi region. To this end, it is necessary to improve innovation capabilities and diversify businesses based on convergence and complex technologies at the enterprise level, and to be selected as a special crisis response area aimed at creating an innovative ecosystem through autonomous resonance of companies and industries at the local level.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.202-211
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• 2015

Companies build the factory automation system to improve management effectiveness and productivity as prime strategies for sustainable growth. But most companies undergo various trials and errors while carrying out the project without elaborate preparation stage for factory automation. In this study, we tried to verify what factors are critical to effectively building distribution automation system, which is a branch of factory automation system. A consulting model for setting up a Material Handling Automation System by utilizing the Stage-Gate Process, which is product development process was studied. 29 material handling automation projects carried out between the year 1990 to 2013 at K-Company were selected. Interviews with the project managers, operators and maintenance personnels, various records and current status of the projects were used as data for structural equations based on the Milan consulting model and existing researches of factory automation, CIM for material handling automation. Creating effective basis of production, material handling system and energy saving system with expert review, when preparing a material handling automation project, help promote the project planning thus contributing to the performance of the resulting system, which appears though rather weakly in our data. Also the effect of material handling automation can be enhanced through sufficient and effective links to the relevant environments such as production logistics management and automated warehouses. More detailed planning characteristics of project promotion or some time-series data of effective Material Handling Automation System could enhace furthur studies. We propose a consulting model for setting up an efficient material handling automation system.

• Korean Journal of Construction Engineering and Management
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• v.22 no.6
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• pp.96-106
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• 2021

The PC structure based on the OSC (Off-Site Construction) is mentioned as a representative method of innovation in the construction industry that converts the existing construction environment from site-centered to factory production-transportation-site assembly. However, recent research on PC method has focused on improving the functions of subsidiary materials and improving the production system to increase productivity and institutional / policy R&D that can be universally applied to the life-cycle stage of ordering / design /construction is insufficient. In particular, the absence of standardized cost calculation standards makes it difficult to calculate and verify of objectified appropriate construction cost. So which is an obstacle to the activation of the PC method. In this study, the standards for construction costs of domestic and foreign PC method were surveyed and similar Construction Standard Production Rates were analyzed to confirm the product structure suitable for PC method. Subsequently, the construction procedures and input resources for each PC subsidiary materials were identified through on-site surveys to derive component for subsidiary materials, and the factors of change in the product according to the construction characteristics(height, weight of subsidiary material) were verified. As a result the standard product calculation system suitable for the site installation of the PC method for apartment was presented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.214-223
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• 2019

This study is a meta-analysis based on results of empirical studies related to work-life balance(WLB), and the relationships between WLB and other variables. In order to achieve this objective, articles published in domestic journals prior to December 2018 were collected. Data was collected using an online database provided by the Korea Educational and Scientific Information Service, and a total of 27 studies and 126 sub data were coded. Data was analyzed using CMA (comprehensive meta-analysis) 3.0 program. Results of this study are as follows. First, the overall mean effect size of WLB was 0.365, indicating a small effect size. Second, the effect sizes of dependent variables influenced by WLB included immersion, innovation, and performance in order. Third, the effect size of organizational focus variables was more than twice as big as that of individual focus variables. Fourth, the negative theoretical background dependent variables of WLB, such as sacrifice, job stress, and turnover showed -0.254 effect size, and the positive theoretical background dependent variables, such as job satisfaction and emotional commitment have mid-size effect (0.576). Fifth, the effect size of independent variables were in the order of work-development balance, work-home balance, and work-leisure balance.

• Safety and Health at Work
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• v.10 no.2
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• pp.229-236
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• 2019

Background: Emerging reports suggest the potential for adverse health effects from exposure to emissions from some additive manufacturing (AM) processes. There is a paucity of real-world data on emissions from AM machines in industrial workplaces and personal exposures among AM operators. Methods: Airborne particle and organic chemical emissions and personal exposures were characterized using real-time and time-integrated sampling techniques in four manufacturing facilities using industrial-scale material extrusion and material jetting AM processes. Results: Using a condensation nuclei counter, number-based particle emission rates (ERs) (number/min) from material extrusion AM machines ranged from $4.1{\times}10^{10}$ (Ultem filament) to $2.2{\times}10^{11}$ [acrylonitrile butadiene styrene and polycarbonate filaments). For these same machines, total volatile organic compound ERs (${\mu}g/min$) ranged from $1.9{\times}10^4$ (acrylonitrile butadiene styrene and polycarbonate) to $9.4{\times}10^4$ (Ultem). For the material jetting machines, the number-based particle ER was higher when the lid was open ($2.3{\times}10^{10}number/min$) than when the lid was closed ($1.5-5.5{\times}10^9number/min$); total volatile organic compound ERs were similar regardless of the lid position. Low levels of acetone, benzene, toluene, and m,p-xylene were common to both AM processes. Carbonyl compounds were detected; however, none were specifically attributed to the AM processes. Personal exposures to metals (aluminum and iron) and eight volatile organic compounds were all below National Institute for Occupational Safety and Health (NIOSH)-recommended exposure levels. Conclusion: Industrial-scale AM machines using thermoplastics and resins released particles and organic vapors into workplace air. More research is needed to understand factors influencing real-world industrial-scale AM process emissions and exposures.

• Journal of Cadastre & Land InformatiX
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• v.49 no.1
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• pp.123-144
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• 2019

The purpose of this study is to grasp factors the increasing population growth rate of the region through the regional and housing market characteristics. This paper has used multiple regression as the dependent variable (average of the population growth rate of 85cities during the last five years) and the independent variables analyzed the regional and housing market characteristics on the average. The results of the analysis, The regional and housing market variables that have had a significant impact on the regional population growth rate over the last five years are birth rate, employment rate, production available population growth rate, apartment rate, resale rights rate, and apartment turnover rate and the number of businesses per thousand and has decreased. In other words, The regions where the population increased by region for the last five years were the ones with the transfer of public institutions (innovation cities) and land development among the Seoul metropolitan area and non-Seoul metropolitan area excluding Seoul and metropolitan cities. The results of this study is intentional to suggest Policy point of view for the balanced regional development presented at the government level for other the metropolitan area, such as the small and medium cities that are undergoing population decline.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.3
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• pp.13-26
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• 2019

There is a growing interest in the entrepreneurial activity that has long been considered essential for sustainable economic development and value creating. Although it is strongly encouraged by focusing on the positive aspects of venturing, less has been paid attention to entrepreneurial failure, which is the biggest cause of hesitation in starting a business. The uncertain and risky nature of entrepreneurship implies a considerable possibility of failure. Even if it fails, the experience and knowledge of entrepreneurs acquired through entrepreneurship indeed offers valuable lessons for the re-venturing, which can serve as an important social asset that should not be lost. It has been argued that re-entering the same industry for the subsequent venture maximizes the learning effect through utilizing potential benefits from industry-specific knowledge. Although the re-startup after entrepreneurial failure is a very important topic in the studies on serial entrepreneurs, there is a paucity of systematic empirical investigation. This study responds to calls for more research on the re-startup after entrepreneurial failure, and specifically complements existing studies on serial entrepreneurs. Focusing on the entrepreneurs' attribution for the failure, we conducted an empirical analysis of how this affects the re-startup process. Moreover, we also examined the moderating effects of entrepreneurial self-efficacy and resilience. For the analyses, we surveyed the entrepreneurs who tried to re-start the subsequent business after the entrepreneurial failure through the "Revitalization Center for Strained Entrepreneur". The results found that failed entrepreneurs who blamed internal factors for their previous venture failures were likely to keep the same industry for their subsequent business. In addition, the positive effect of internal attribution on maintaining the same industry for the re-startup was found to be stronger when entrepreneurial self-efficacy and resilience were high.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.75-86
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• 2019

Globally, the change in higher education is gradually moving toward a trend that seeks a change in innovative higher education through the revitalization of digital-based education. Accordingly, this study designed a customized education model based on e-learning that can be used in undergraduate education and development of lifelong vocational skills. The use of online learning platforms and the expansion of education are major factors that change the overall higher education system as the form and content of curriculum changes around the world. In order to establish a customized education model using online learning platform, this study analyzed major overseas advanced education cases and selected the basic direction of customized learning as personalized learning, competency based learning, and training for talents leading the 4th Industrial Revolution. Then, FGI was conducted for undergraduate and lifelong vocational ability development experts. As a result, a customized education model using an online learning platform was derived from a degree-type model available in undergraduate education and a non-degree-type model available in the field of lifelong vocational ability development, and each operation strategy was suggested.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.444-456
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• 2021

Economic abundance and the development of medical technology led to an aging society with an average life expectancy of 100 years, but retiring from the labor market at the age of 65 has become more difficult. This study aims to identify the influence of entrepreneurship, social support, and entrepreneurship mentoring as an effective support method to increase the entrepreneurial intention in order to enhance the entrepreneurial intention as an adult's second career development. In this study, data were collected using questionnaires from 340 adults, but only 319 were selected because 21 were judged to be inappropriate. For statistical analysis, SPSS 18.0 was used, and reliability test, factor analysis, and multiple regression analysis were used for hypothesis testing. The research results are as follows. First, as a result of examining the effects of adult entrepreneurship factors on entrepreneurship, it was found that among entrepreneurship, innovation and initiative had a significant positive (+) effect on entrepreneurship. Second, as a result of examining the effect of social support on entrepreneurial intention, it was found that family support had a significant negative (-) effect on entrepreneurial intention. Third, as a result of examining the effect of entrepreneurship mentoring on entrepreneurial intentions, it was found that role models and mentors had a positive (+) effect on entrepreneurial intentions. Fourth, as for the mediating effect of entrepreneurial efficacy, there were significant mediating effects of innovativeness → entrepreneurial efficacy → entrepreneurial intention, role model → entrepreneurial efficacy → entrepreneurial intention, mentor → entrepreneurial efficacy → entrepreneurial intention.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.568-578
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• 2021

Patents that are research results from industry-university cooperation (IUC) are a source of innovation, and play an important role in economic growth, such as technology transfer and commercialization. For this reason, there are many efforts to revitalize IUC, but in general, company patents are achievements that can be commercialized, rather than research achievements, so not all patents are used for business, even after their creation as the outcome of IUC. Therefore, this research supports the design of measures in which IUC can ultimately be linked to successful utilization of patents by identifying the purposes of IUC, even after it has been successfully promoted, and patents have been filed as a result. To this end, first, the patents registered for industry-academia cooperation in the United States are collected, and second, a predictive model is designed, with unexpired and expired patents predicted using machine learning techniques. The final identified patents are intended to derive available factors in terms of marketability and technicality. This study is expected to help predict the utilization of unexpired and expired patents, and is expected to contribute to setting goals for research results from technical cooperation between corporate and university officials planning early IUC.