• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.39-48
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• 2018

Despite the fact that Daejeon has excellent technology infrastructures such as government-funded research institutes, Daedeok Innopolis, and KAIST, the infrastructure for initial investment and growth support for technological start-ups is not sufficient. In particular, the amount of venture capital supply in Daejeon is relatively low compared to other innovation infrastructures. The purpose of this study is to suggest the implications of the venture capital ecosystem in Daejeon area through the analysis of what evolution process has been undergoing and what improvements and complementary points are needed in the future. First, the role of public finance system should be strengthened in order to stimulate angel investment and private capital inflows to start-up companies. Second, in order to cultivate investment professionals in the region, it is necessary to grant local funds to local institutions, and to run investment expert training courses in universities. Third, cooperation between related agencies is needed to add accelerator functions to existing incubators and to foster new accelerators. Fourth, in order to expand the role of local governments, it is necessary to establish funds, to open innovation mindset of public officials, and to communicate effectively with the central government. Fifth, basic venture ecosystem infrastructures such as inflow of excellent manpower, prevention of technology deception, improvement of rechallenge environment should be expanded. Sixth, it is necessary to reorganize the step-by-step start-up financing policy of 'Establishment - Growth - Exit - Rechallenge'. This study is meaningful in that it has grasped the current status of venture start-up financial ecosystem in Daejeon, which is changing rapidly. In particular, it is different in that it identifies financial difficulties venture companies in Daejeon and finds ways to utilize existing financial ecosystem efficiently.

• Korean Journal of Construction Engineering and Management
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• v.20 no.2
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• pp.105-112
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• 2019

As the Construction Technology Promotion Act was revised in 2015, the term of Supervision was removed and Construction Management was included instead. The consideration of Construction Management shall be based on the cost plus fee method specified in the Criteria for the Cost of Construction Technology Services of the Ministry of Land, Infrastructure and Transport. Nevertheless, it is based on the construction cost ratio in accordance with the Economy and Finance Ministry's Detailed Guidelines for Preparing the 2018 Budget Plan and Fund Management Plan (Manual for Business Type and Item). As a result, it has been expected that Construction Management consideration will be calculated according to a single government standard and that the Criteria will be applied reasonably. In addition, although the change in the Labor Standard Act has a significant effect on the working environment of the construction site, the nature of the construction site is not considered in this Act. Based on these problems, the study suggested that the government should apply a single standard after consultation with the relevant agencies when calculating the consideration for Construction management, that the scope of the Criteria for the Cost of Construction Technology Services should be clear, that the amount of input by the Construction Manager should be considered for the capability of engineers and the number of working days, and that construction characteristics should be considered when determining the number of working days and hours.

• Journal of Environmental Impact Assessment
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• v.28 no.2
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• pp.141-151
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• 2019

Korea has passed the Act on the Integrated Control of Pollutant-Discharging Facilities in 2015, and the integrated environmental management under the BAT standard is underway. To summarize the nature of integrated environmental management, it is the regulation by the integration of the management of the multi-pollutant source and the technical standard of BATs. In general, in environmental economics, regulation-based on technical standards are known to be inefficient. This paper attempts to evaluate the efficiency of BAT standards from an economic point of view. A simple multi-pollutant model demonstrates that the inefficiency of the environmental tax with imperfect information in a single pollutant situation is amplified under multi-pollutant conditions. The simultaneous introduction of BAT and IPPC can be partially explained by this logic. It is also highlighted by the strengthening of BAT standards by EU, as a countermeasure to the potential deterioration of air quality caused by the change of effective environmental taxes accompanying the fuel and emission price changes.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1577-1605
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• 2018

This study analyzes China's technology billionaires. However, this study does not show the accumulating process of wealth in each of the Chinese billionaires, because there are many technology billionaires, but only deals with the macro analysis of the technology billionaire; the pattern of existence, comparison with other industries, the process of wealth creation reflecting China's particularity, and comparison with the world's technology billionaires. The findings of this study are as follows. First, more than 10 billion yuan of Chinese billionaires will emerge from 2004. Second, in the early days, illegal and corruption made rich, but the wealth of own efforts has gradually increased. Third, the real estate and manufacturing billionaires are still strong overall, but the growth of billionaires in technology, medicine and finance industry is remarkable. Fourth, in the case of the top 10 richest, four are from real estate, four from technology, and two from manufacturing and distribution. Most technology billionaires are in Guangdong, Zhejiang, Beijing and Shanghai. The determinants of the number of billionaires are GDP, exchange rate to US Dollar and Shenzen Stock Index, and those of technology billionaire are GDP and exchange rate. Given the relationship with existing theories, this study can be called the fifth type of billionaire research. Conceptually, the main reason for accumulating wealth is the search for policy opportunities, market opportunities and technology opportunities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.352-362
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• 2019

The study investigates one of the long-standing, but still controversial issues in modern finance from the international and domestic perspectives. That is, financial components and differences on corporate profitability are identified and compared under the primary hypotheses. Empirical research settings include the sample data as KOSPI-listed chaebol firms, time reference covering the post-era of the global financial turmoil and two differently defined profitability indices measured by the market- and the book-value bases. A majority of total 7 explanatory variables except firm size and leverage ratio reveal their statistically significant power to explain profitability indices for the chaebol firms in the first hypothesis. The results are generally compatible with those obtained from their counterparts of non-chaebol firms. In the second hypothesis applying multinomial logistic model, the chaebol firms are classified into three groups according to the level of profitability. It is then confirmed that variables to represent the market-valued debt ratio, business risk and growth potential are financially discriminating factors among the three groups. The study may provide a new vision to identify financial factors of corporate profitability for Korean chaebol firms after the global financial crisis, which can enhance the benefits of interested parties at the government or corporate level in a virtuous cycle.

• Smart Media Journal
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• v.8 no.1
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• pp.74-81
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• 2019

Recently, machine learning technology has had a significant impact on society, particularly in the medical, manufacturing, marketing, finance, broadcasting, and agricultural aspects of human lives. In this paper, we study how to apply machine learning techniques to foods, which have the greatest influence on the human survival. In the field of Smart Farm, which integrates the Internet of Things (IoT) technology into agriculture, we focus on optimizing the crop growth environment by monitoring the growth environment in real time. KT Smart Farm Solution 2.0 has adopted machine learning to optimize temperature and humidity in the greenhouse. Most existing smart farm businesses mainly focus on controlling the growth environment and improving productivity. On the other hand, in this study, we are studying how to apply machine learning with respect to harvest time so that we will be able to harvest fruits of the highest quality and ship them at an excellent cost. In order to apply machine learning techniques to the field of smart farms, it is important to acquire abundant voluminous data. Therefore, to apply accurate machine learning technology, it is necessary to continuously collect large data. Therefore, the color, value, internal temperature, and moisture of greenhouse-grown fruits are collected and secured in real time using color, weight, and temperature/humidity sensors. The proposed FPSML provides an architecture that can be used repeatedly for a similar fruit crop. It allows for a more accurate harvest time as massive data is accumulated continuously.

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.6
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• pp.1-16
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• 2018

The decline in the construction industry has led to a decrease the profitability of small and medium-sized landscape contractors. To relieve this situation, small and medium-sized landscape contractors have continued to proactively find ways to enter global construction markets. However, many small and medium-sized landscape contractors face risks due to their lack of capacity and insufficient preparations to extend the business abroad. Thus, this study aims to analyze the current condition of the Vietnamese construction market and the related risk factors. It then suggests strategies to improve the small and medium-sized landscape contractors' competitiveness in that market. We investigated the business climate and analyzed risk factors. Finally, we developed expansion strategies and conducted in-depth interviews with six overseas construction professionals. The study results first showed that efforts to improve infrastructure and the increased demand for housing in Vietnam will lead to more opportunities for small and medium-sized landscape contractors entering the Vietnamese construction market. However, changes in the Vietnamese business climate may act as a variable. Second, we found that small and medium-sized landscape contractors' risk factors are mainly related to laws and regulations, government finance, market fluctuations, public administration system, minimum wage increases, financing and bonds, contracting, trees and materials, and design errors. Finally, small and medium-sized landscape contractors are required to consider the following when seeking to enter the Vietnamese construction market: short-term strategy and mid-to-long-term strategy. This study will be used as the basis for small and medium-sized landscape contractors to plan to enter the Vietnamese construction market and to contribute to the expansion of the global construction market in the landscape industry.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.48-58
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• 2021

For securing technology and business competences of companies that is the engine of domestic industrial growth, government-supported policy programs for the creation of commercialization results in various forms such as 『Technology Transaction Market Vitalization』 and 『Technology Finance-based R&D Commercialization Support』 have been carried out since 2014. So far, various studies on technology valuation theories and evaluation variables have been formalized by experts from various fields, and have been utilized in the field of technology commercialization. However, Their practicality has been questioned due to the existing constraint that valuation results are assessed lower than the expectation in the evaluation sector. Even considering that the evaluation results may differ depending on factors such as the corporate situation and investment environment, it is necessary to establish a reference infrastructure to secure the objectivity and reliability of the technology valuation results. In this study, we investigate the evaluation infrastructure built by each institution and examine whether the latest artificial neural networks and deep learning technologies are applicable for performing predictive simulation of technology values based on principal variables, and predicting sales estimates and qualitative evaluation scores in order to embed onto the technology valuation system.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.207-224
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• 2020

With the gradual improvement of China's residents' economic level, the continuous improvement of the holiday system, and the main purpose of relaxing mood and experiencing life, rural tourism has developed rapidly. In order to further achieve the goals of farmers' entrepreneurship, agricultural income increase, rural prosperity, and tourism management departments and tourism enterprises' management and operation objectives, this paper puts forward research hypotheses on the basis of relevant literature review and references. Based on the previous research results, this paper designs a questionnaire on Residents' rural tourism behavior intention, and uses SPSS23.0 to conduct correlation analysis and hypothesis test on the sample data, and draws the following conclusions: (1) rural tourism attitude, subjective norms, and perceived behavior control have a significant positive impact on rural tourism behavior intention; (2) policy system and resource conditions have a significant positive impact on rural tourism behavior intention; (3) policy system has a significant positive impact on subjective norms and perceived behavior control, and resource conditions have a significant positive impact on rural tourism attitude, subjective norms, and perceived behavior control.

• Korean Journal of Construction Engineering and Management
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• v.22 no.2
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• pp.3-11
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• 2021

Myanmar is an undeveloped country with high development value among Asian countries. Therefore, various countries including the U.S. are considering entering the market. In this respect, demand for real estate development project is forecast to grow on increased inflow of foreigners and Myanmar's economic growth. However, Myanmar is a high-risk country in terms of overseas companies, including national risk. In this study, we conducted an in-depth interview with experts (law, finance, technology, and local experts) after analyzing data on Myanmar to extract risk-causing factors. Through this, 106 risk factors were extracted, and the final risk classification system was established by conducting three-time groupings using the affinity diagramming. And the relative importance of each factor was presented using the analytic hierarchy process (AHP) technique. As a result, the country-related risk, the fund-related risk, and the pre-sale-related risk were highly important. The research results are expected to provide risk management standards to companies entering the Myanmar real estate development type project.