• Journal of Digital Convergence
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• v.17 no.6
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• pp.341-347
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• 2019

As the concept of open source extends beyond the scope of software, many companies are also introducing business models using open source concepts. This study is a study on how to create a web-based open-source platform using a 3D printer and aims to create an open-source platform modeled on the Kidults community where users are highly willing to participate. The research method established the direction of initial platform production by collecting basic data through the usability of the platform and Toy design preferences and propensity analysis through research on open source use cases by various companies and user surveys in the Kidults Community. Features unique platform Toy sources that are freely reinterpreted by the user and re-shared and sold to the platform. Research should continue to boost user motivation by activating communities within the platform.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.237-262
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• 2023

Digital transformation demands significant and foundational alterations in an organization's structure, processes, business strategy, and communication from a managerial perspective. However, one of the crucial prerequisites for a successful transition is the digital proficiency of its members. Students studying Management of Technology without a prior background in engineering face the difficult challenge of improving both their business management skills and digital competency within a limited time frame. For this reason, effective IT competency education methods are emerging as one of the educational issues in technology management. This paper showcases the IT-focused curriculum revision process of Sogang University's Graduate School of Management of Technology, along with the outcomes of its implementation thus far, as a demonstration of addressing the questions of "what to teach" and "how to teach" for students who could potentially become leaders in guiding the digital transformation. The purpose of this paper, specifically, is to offer a prior reference for the operation direction of effective programming education for students in Management of Technology graduate schools through a discussion on the feedback results of the required fundamental programming course which acts as both the starting point and entry hurdle.

• Journal of Advanced Navigation Technology
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• v.27 no.2
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• pp.235-246
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• 2023

In the rapid technological development of artificial intelligence (AI), electric vehicles, and robots based the fourth industrial revolution, semiconductors determine the core performance, and semiconductor competitiveness is directly related to national competitiveness. However, the Korean semiconductor industry has continuously weakened its competitiveness in the system semiconductor field, excluding memory semiconductors, so in this study, a new smart contract basedblockchain business model to engage the global market, which is the most urgent need for the growth of Korean fabless system semiconductor industry in recession. F-SBM (Fabless-Smart contract based Blockchain Model) proposed. In this study, through the new F-SBM, it was verified how to engage new customers for fabless firms through smart contract based consortium blockchain regarding technology, economy, and reliability items of fabless. This model has great significance in improving the high entry barriers to engaging new customers for the long-cherished desire of the Korean fabless system semiconductor industry and deriving new growth solutions.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.1-20
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• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.104-104
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• 2011

2010년 기준 세계 물산업은 약 4,800억불 규모이며, 2025년에는 약 1조 달러 규모로 성장할 것으로 전망된다. 또한 기후변화 등의 요인으로 물산업의 범위는 물순환체계 전과정을 포괄하는 "유역종합개발+상하수도+대체수자원"으로 확장될 것으로 예측된다. 그러나 지금까지의 국내 물산업 육성은 주로 상하수도 분야 중심으로 국한되어, 기후변화에 대응한 유역종합개발 분야에 대한 시장 진출기회를 상실하고 있다. 상하수도 중심의 물산업은 이미 선진 메이저 기업들이 선점하여 치열한 경쟁이 벌어지고 있는 '레드오션'이라 할 수 있으므로, 새로운 물산업의 강국으로 부상하기 위해서는 우리가 가진 장점을 바탕으로 물산업의 새로운 영역을 개척하는 방안에 대한 연구가 필요한 시점이다. 본 연구는 먼저 국내외 물순환체계 전과정(유역종합개발+상하수도+대체수자원)에 대한 시장 조사을 통해 세계 물산업 시장을 프로젝트 유형별, 지역별로 분석하고, 이를 토대로 국내 물산업 육성과 해외진출을 위한 당면 과제를 다음과 같이 제시하였다. 첫째, 민관협력을 위한 제도적 틀을 형성할 필요가 있다. 정부의 역할이 매우 중요한데, 정부 또는 기금이 자금의 단순한 대부자에서 적극적인 투자자로 전환함으로서 국내 민간기업들의 해외시장 진입장벽을 낮추어 줄 필요가 있다. 정부 주도의 민관협력이 활성화되면 참여 기업의 재무적 리스크를 현저히 줄일 수 있다. 또한, 상하수도 운영 경험을 축적한 공기업이 해외진출 지원기능을 수행하도록 하여야 한다. 즉, 공기업이 민간 기업의 경쟁자가 아니라 지원자가 될 수 있도록 프레임을 바꿔주어야 한다. 둘째, 물산업 클러스터의 형성이다. 물산업 제조업은 대부분 중소 벤처기업으로 독자적인 해외진출이 곤란하므로, 물전문 공기업이 중소 벤처기업 육성 및 해외진출의 앵커 역할을 담당하는 것이 필요하다. 이스라엘이나 싱가포르의 물산업 클러스터처럼 Anchor 역할을 행하는 공기업과 민간기업이 장기적 협력관계를 구축할 수 있는 기반을 마련해야한다. 셋째, 신시장 역량의 창출이다. 기후변화로 크게 성장할 전망인 통합물관리 시장에 대한 전략적 접근이 요구된다. 우선 ODA 등 대외 원조자금을 활용하여 투자비가 적게 들고 정보를 선점할 수 있는 조사 설계부터 시작하여, 댐 및 수력개발, 상하수도 건설 운영 등에 단계적으로 접근할 수 있을 것이다. 또한, 향후 도입될 예정인 물인프라의 Smart 기술, 첨단 수처리 기술 등을 활용하여 새로운 시장을 개척해야 한다. 4대강살리기 사업, 해수담수화 등 조기에 경쟁우위를 갖출 수 있는 사업과 기술을 Flagship Project로 브랜드화하여 우리나라를 "물강국"으로 포지셔닝할 경우 세계 물시장 공략에 보다 효과적일 것으로 판단된다.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.12 s.148
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• pp.1562-1570
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• 2005

The purpose of this thesis is to find the effective way of practical education in the fashion related department in order to supply the appropriate experts to the Korean apparel manufacturers located in Dalian, China. The interviews were made twice from $25^{th}$ of Feb. to $15^{th}$ of Mar. 2005 and from $28^{th}$ of July to 31st of July 2005 through the method ot a direct interview with the CEOs of the 7 representative apparel manufactures. The results of the interviews were as following. Seven companies$(100\%)$ participated in the survey all complained of insufficient workers. Also the companies were having difficulties at finding appropriate workers who can handle designing, management, and circulation, because specialists who are fluent in Korean and Chinese are very rare. Moreover, Korean apparel manufacturers are now taking a step further to launch a high quality fashion brand, getting out of the simple hand work depending on low wage or low-tech(6 companies $85.7\%$). Thus, well-educated fashion specialists(intermediate manager) are required on the part of Korean clothing companies or apparel manufacturers in China. It is expected the intermediate managers and the specialists who are capable of launching a new brand will be urgently needed. Therefore, appropriate educations in Korea would be essential to minimize the problems the Korean fashion specialists might face in China. 1 would like to present three suggestions. 1. The highly educated Korean fashion specialists on apparel industry will be a solution both to the high jobless status in our country and to the deficiency in human resources of Korean apparel manufacturers in Dalian. 2. The students in the college should learn how to write down the working chart and matching chart in practical conditions. Taking an intern-ship in working factories in China during a certain period of time will be helpful. 3. The experts should be trained with emphasis on the quality, design, and value of the brand. This study will be used as a base for Koreans who work in fashion related department to enter the Chinese fashion market having a great potential.

• Archives of design research
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• v.18 no.1 s.59
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• pp.39-48
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• 2005

In the age of digital culture, TV broadcasting is exercising more influence as a information and communication medium compared to past. With the appearance of satellite broadcasting service in 2002, the broadcasting environment became a diversified field of local TV, cable TV, satellite, internet, etc. and created the time of multi-media and multi-channel. This ongoing change of broadcasting environment made the passive audience of the past, active image makers and new accepters, participants and users of communications, who know how to choose and use media as the active centerpiece, The active acceptor as the centerpiece of channel selections has become the center of the broadcasting, whereby they pick up and enjoy their favorite TV programs and came to remember the list of their favorite channels and zap them finally. In this point of spotting their favorite channels and improving the degree of recognition for the channels, the development of the noticeable brand for a particular program has made a great contribution. The aim of this study, therefore, is to recognize the factors, which are important in the habits of watching TV and to develop professional brands for TV broadcasting programs. The range of the survey for this study was home news programs and broadcasting stations abroad, which were on air from March to May in 2004. The focus of the survey was universal and professional news programs. Through this study, it was ascertained that, in the case of news, developing a brand for an anchor as well as for a professional brand of TV program could be an important element.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.4
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• pp.57-66
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• 2013

Domestic PCB industry formed by orders of demand companies is extremely vulnerable in its innovation infrastructure including high value-added technology development and information exchange. The majority of PCB products produced in the country relies on the imports from abroad and it causes its vulnerability to external market changes. Due to the negative perceptions about the industry (e.g., 3D job), low treatment (especially SMEs) and expertise employment avoidance in PCB industry, the job market conditions of PCB industry is not so good. In these circumstances, the PCB industry is completely dependent on the demand market such as cellular phones, and tablet PC, and as a result the responsiveness of PCB industry to the changes in demand market is also vulnerable. In this PCB industry, Korean government is trying to build the research infrastructure for PCB industry that realizes the sharing of information among companiesthrough the operation of the PCB industry innovation forum (information innovation), builds SME suppot platform and supports quality improvement (technology innovation), and supports enterprise collaboration processes (material-process-equipment) utilizing PCM open laboratory. The PCB industry technology infratstructure project is going to be promoted by the government(1.3 billion won, each year) and the private investmen(434 million won each year) from 2013 to 2017(5 years project)(table 1). This study analyzes the feasibility of the project, by using the AHP analysis and the results shows that this project is considered feasible because the AHP overall score is evaluated as 0.841, the overall score is greater than or equal to 0.55.

• Information Systems Review
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• v.25 no.3
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• pp.179-197
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• 2023

As a sufficient workforce supports the industry's growth, workforce training has also been carried out as part of the industry promotion policy. However, the market still has a shortage of skilled mid-level workers. The information security disclosure requires organizations to secure personnel responsible for information security work. Still, the division between information technology work and job areas is unclear, and the pay is not high for responsibility. This paper compares job keywords in advertisements for the information security workforce for 2014, 2019, and 2022. There is no difference in the keywords describing the job duties of information security personnel in the three years, such as implementation, operation, technical support, network, and security solution. To identify the actual needs of companies, we also analyzed and compared the contents of job advertisements posted on online recruitment sites with information security sector knowledge and skills defined by the National Competence Standards used for comprehensive vocational training. It was found that technical skills such as technology development, network, and operating system are preferred in the actual workplace. In contrast, managerial skills such as the legal system and certification systems are prioritized in vocational training.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.63-83
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• 2019

Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.