• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.3
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• pp.191-202
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• 2017

KONEX (Korea New Exchange) is the organised stock exchange for small enterprises. It is a channel through which venture start-ups at their early stage can raise funds without a huge burden of debt. We explain the regulations in this market and examine the effects of major changes in the relevant regulations. The first change was replacing the call auction mechanism with the continuous auction mechanism. The change improved the information asymmetry among investors. The second was lowering the minimum deposit requirement for individual investors from 300 million won to 100 million won. As the result of the change, market liquidity increased a lot and the number of investors increased. The last change was introducing the small investment account. Although this raised the participation of individual investors but did not lead to the improvement in market liquidity or information asymmetry. In overall, encouraging more investors to participate in the transactions in KONEX is the fast way to boost the market, while the long-term strategy should focus more on improving the information asymmetry by helping information generating and transferring activities.

• Korean Journal of Construction Engineering and Management
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• v.14 no.2
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• pp.171-183
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• 2013

Domestric Construction & Engineering market has been long in recession due to the global economic crisis. Domestic construction industries consequently looks at overseas construction markets where relatively more construction projects are constantly required. In order to provide meaningful information for Korean engineering companies to keep the pace with the changes in the construction industry, various construction related date and statistics are analyzed. In addition, previous research from the related organizations and construction engineering companies are closely reviewed. Investigation of preliminary data and research have been conducted to draw remedies for their overseas expansion. Moreover, it is attempted to classify foreign markets as the Asia, Africa and etc. (Europe, North America/the Pacific and Latin America) to provide the list of first target countries and its regional market information focusing on their bidding system. This study had tried to show comparative analysis of different bidding procedures between Korea and the selected countries to suggest measures of improvements for the domestic bidding system. Finally, this study suggested policy recommendations to meet the requirement of bid qualification to advance the global market that was suggested with validated clustering bidding data.

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.17-27
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• 2021

The aim of this research was to identify the issue of the work permit system and consciousness of the people on the system, and to suggest some ideas on the government policies on it. To achieve the aim of research, this research used text mining based on social data. This research collected 1,453,272 texts from 6,217 units of online documents which contained 'work permit system' from January to December, 2020 using Textom, and did text-mining and social network analysis. This research extracted 100 key words frequently mentioned from the analyses of data top-level key word frequency, and degree centrality analysis, and constituted job problem, importance of policy process, competitiveness in the respect of industries, and improvement of living conditions of foreign workers as major key words. In addition, through semantic network analysis, this research figured out major awareness like 'employment policy', and various kinds of ambient awareness like 'international cooperation', 'workers' human rights', 'law', 'recruitment of foreigners', 'corporate competitiveness', 'immigrant culture' and 'foreign workforce management'. Finally, this research suggested some ideas worth considering in establishing government policies on the work permit system and doing related researches.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.93-100
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• 2021

With the spread of digital trade, the share of digital trade under the global trade environment is increasing. However, since there is no international digital trade standard, the discussion to establish a new trade rule has important significance. Countries around the world are implementing digital trade policies in consideration of their own interests, but different regulatory policies are causing trade conflicts. In order to provide safeguards against personal information infringement due to the free movement of data across borders, major countries around the world have taken measures to localize data, and the EU has enacted GDPR. And the United States regards the imposition of the digital tax as a trade barrier, and some countries oppose the implementation of the digital tax for fear of negative impact on their countries. However, discussions on the global digital tax, centered on the OECD and the G20 are making progress. As it is highly likely that a digital tax agreement will be drawn up within this year, countermeasures must also be prepared. Therefore, this study presents implications for the future direction of Korea's trade policy by examining recent trends in digital trade norms and analyzing major issues in digital trade.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.265-288
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• 2023

Process mining has generally analyzed the default logs of Information Systems such as SAP ERP, but as the use of automation software called RPA expands, the logs by RPA bots can be utilized. In this study, the actual status of RPA automation in the field was identified by applying RPA bots to the work of three domestic manufacturing companies (cosmetic field) and analyzing them after leaving logs. Using Uipath and Python, we implemented RPA bots and wrote logs. We used Disco, a software dedicated to process mining to analyze the bot logs. As a result of log analysis in two aspects of bot utilization and performance through process mining, improvement requirements were found. In particular, we found that there was a point of improvement in all cases in that the utilization of the bot and errors or exceptions were found in many cases of process. Our approach is very scientific and empirical in that it analyzes the automation status and performance of bots using data rather than existing qualitative methods such as surveys or interviews. Furthermore, our study will be a meaningful basic step for bot behavior optimization, and can be seen as the foundation for ultimately performing process management.

• The Journal of Small Business Innovation
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• v.19 no.2
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• pp.53-68
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• 2016

Motivation and activities for technological learning, entrepreneurship, innovation, and creativity are driving forces of economic development in Asian countries. In the early stages of technological development, technological learning and entrepreneurship are efficient ways in which to catch up with advanced countries because firms can accumulate skills and knowledge quickly at relatively low risk. In the later stages of technological development, however, innovation and creativity become more important. This study aims to identify a) the factors (learning capabilities) that influence technological learning performance and b) barriers to enhancing innovation capabilities for the creative economy and organizations. The major part of this study is related to learning capabilities in the post-catch-up era. Based on a literature review and observations from Korean experiences, this study proposes a technological learning model composed of various influencing factors on technological learning. Three hypotheses are derived, and data are collected from Korean machine tool manufacturers. Intense interviews with CEOs and R&D directors are conducted using structured questionnaires. Statistical analysis, such as correlation and ANOVA are then carried out. Furthermore, this study addresses how to enhance innovation capabilities to move forward. Innovation enablers and barriers are identified by case studies and policy analysis. The results of the empirical study identify several levels of firms' learning capabilities and activities such as a) stock of technology, b) potential of technical labor, c) explicit technological efforts, d) readiness to learn, e) top management support, f) a formal technological learning system, g) high learning motivation, h) appropriate technology choice, and i) specific goal setting. These learning capabilities determine firms' learning performance, especially in the early stages of development. Furthermore, it is found that the critical factors for successful technological learning vary along the stages of technology development. Throughout the statistical and policy analyses, this study confirms that technological learning can be understood as an intrinsic principle of the technology development process. Firms perform proactive and creative learning in the late stages, while reactive and imitative learning prevails in the early stages. In addition, this study identifies the driving forces or facilitating factors enhancing innovation performance in the post catch-up era. The results of the preliminary case studies and policy analysis show some facilitating factors such as a) the strategic intent of the CEO and corporate culture, b) leadership and change agents, c) design principles and routines, d) ecosystem and collaboration with partners, and e) intensive R&D investment.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.85-106
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• 2023

This study reviewed and derived the success factors of overseas agricultural startups and studied their integrated research model. Agricultural startups and general startups have in common that poor resources and infrastructure exist from a resource-based perspective after startup, but a differentiated approach from general startups is required due to the nature of the primary industry of agriculture. In this study, we approach the company internal factors (human resources/vision/distribution network capacity/capital capacity/cultivated crops/physical resources/farming technology, etc.) and external factors (agricultural infrastructure/laws/regulations/relationship with surrounding society, etc.) We tried to build a research model that can be integrated by focusing on various existing research models, success factors, and entrepreneurship. Through this, it is intended to present an integrated model that is practically helpful to business performance to entrepreneurs, business-related persons, and researchers who need an integrated understanding of agricultural startups at home and abroad. made for purpose In this paper, a standard model was established through three types (existing agricultural startup, small and medium-sized business startup, multinational company, and comprehensive approach) according to size and characteristics for modeling agricultural startup success factors. Through this, a total of 9 success factors (agricultural management, external environment, manager/founder characteristics, corporate identity, business management, organizational culture, infrastructure, commercialization capability, and sustainable growth) were derived. The implication of this study is that the success factors of agricultural startups were comprehensively presented based on 'entrepreneurship' for various domestic and foreign agricultural startup cases. By confirming the systematic categorization, a standard model for future agricultural startup success factors was presented, and as a result, a foundation was presented for systematic research and practical effectiveness of related research in the future.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1606-1632
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• 2018

This study analyzes the technology billionaires with the combination of technology commercialization studies and billionaire research. However, we will not discuss individual billionaires, but discuss the general features of technology billionaires. This study assumes that the answers to the technology commercialization studies are in the technology billionaire researches. In other words, unlike the technology commercialization studies so far, it can be said that it is a retrospective approach of technology commercialization to see the process and the beginning from the result. The conclusion of this study is as follows. First, technology billionaires are in the middle rank among industries, but their wealth is the best. Second, in the technology sector, four 20s are self-made billionaires. It is a matter of securing technological opportunities, not a long training and preparation. Third, the determinants of technology billionaires are population size and venture capital investment. This means technological efforts and sufficient market conditions are the basis for the development of technology billionaires. Fourth, only high income is not the determinant of technology billionaires. There are many small countries that are very rich but can not utilize technology. Technology billionaires can appear in countries with a minimum of US $ 20,000, unless the country has a huge population such as China and India. Sixth, technology billionaires in the diversified business, classified as Chaebol in low-income countries become scarce in the countries over the US $ 40,000. Billionaires will increase rapidly from the mid-2000s. However, this is not explained by the income increase effect. The world's income increase has been slowing since the 1980s. The market economy effect of the socialist countries is not the reason, because it is limited to some socialist countries. Ultimately, the main reason is the new technology opportunity called the IT paradigm.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.116-126
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• 2022

Many studies using trademark information have suggested that trademark information is good data to monitor business trends. This study intends to analyze the trend change before and after COVID-19 using trademark information. Changes before and after COVID-19 were analyzed by using goods & service classification, similar group code, and designated goods information as trademark information. Among the trademark information, it was statistically significant that the change in trends before and after COVID-19 using designated goods names. To verify the results, the changes in keywords using designated goods names before and after COVID-19 were compared with the frequency of keywords in Google Trends. Among the top 8 keywords extracted from designated goods names, the frequency of Google trend searches for 'online, antibacterial, prevention of epidemics, meal kit, virtual' is on the rise, and 'mask, droplet' is not on the rise, but it increased rapidly at the time of COVID-19, and even after COVID-19, it showed a higher level than before. The frequency of 'unmanned' does not differ much before and after COVID-19, but it has been maintained at a consistently high level, and related businesses have been active since before COVID-19, and it can be interpreted as a keyword with high public interest. This study has academic achievements in that it specifically identified information that could be used in business trends by using three types of trademark information.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.156-167
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• 2020

The purpose of this study is to analyze the influence of the mindset on stress and job performance. For the analysis, a questionnaire is conducted for cabin crew members in K airlines, and a total of 266 copies are used for the final analysis. To verify the hypotheses of the study, frequency analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, measurement model analysis, validation of the measuremen model, and structural equation model analysis are used based on the questionnaire. First, it is confirmed that the mindset had a negative (-) effect on the cabin crew's role stress, reward stress and relationship stress. Second, it is found that cabin crew's reward stress have a negative (-) effect on job performance. On the other hand, relationship stress is found to have a positive influence on job performance and there is no significant result in effect with role stress. Third, the mindset showes a significant positive impact relationship on job performance. As a result, it is necessary to introduce a mindset intervention program so that it can be applied in practical work. These research results confirm the positive effects of mindsets and show that they contribute to organizational performance. In addition, it is necessary to prepare a program to change the mindset of airline cabin crew and to be applied in actual work.