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This study presents a research model that demonstrates the dominant design technology strategy for developing and securing dominant design technology based on open innovation. For this purpose, this study developed a strategic model for the development and acquisition of design technology, production technology, and production system of propeller which satisfies the requirements of ship propulsion system required by ship owners and shipbuilders. By studying large propellers for ships, it is possible to embody a strategic model that can be used as a technology development strategy of dominant design that is effective in technology field of other industries. In this study, HSP (High Skewed Propeller) strategy of Hyundai Heavy Industries, which occupies the largest global market share (47.5%, 2007) for more than 30 years until now, is analyzed as a successful case to verify this strategic model. The development and acquisition strategy model of dominant design technology presented in this study consists of four stages : dominant design project strategy, dominant design engineering technology strategy, dominant design production technology strategy, and dominant design production system strategy. The strategic model summarizes the key activities at each stage. In addition, the steps and core activities of this strategic model were confirmed through the case study. As a technology development strategy of HSP products, Hyundai Heavy Industries utilized open innovation technology to cooperate with outside, that is, collaborative research and development with KAIST (Korea Advanced Institute of Science and Technology) research team, and succeeded in achieving technology development of dominant design of HSP products by linking it with HSP technology development and acquisition strategy.

Fake news is defined as the news articles that are intentionally and verifiably false, and could mislead readers. Spread of fake news may provoke anxiety, chaos, fear, or irrational decisions of the public. Thus, detecting fake news and preventing its spread has become very important issue in our society. However, due to the huge amount of fake news produced every day, it is almost impossible to identify it by a human. Under this context, researchers have tried to develop automated fake news detection method using Artificial Intelligence techniques over the past years. But, unfortunately, there have been no prior studies proposed an automated fake news detection method for Korean news. In this study, we aim to detect Korean fake news using text mining and machine learning techniques. Our proposed method consists of two steps. In the first step, the news contents to be analyzed is convert to quantified values using various text mining techniques (Topic Modeling, TF-IDF, and so on). After that, in step 2, classifiers are trained using the values produced in step 1. As the classifiers, machine learning techniques such as multiple discriminant analysis, case based reasoning, artificial neural networks, and support vector machine can be applied. To validate the effectiveness of the proposed method, we collected 200 Korean news from Seoul National University’s FactCheck (http://factcheck.snu.ac.kr). which provides with detailed analysis reports from about 20 media outlets and links to source documents for each case. Using this dataset, we will identify which text features are important as well as which classifiers are effective in detecting Korean fake news.

This study was initiated to investigate the essential skill factors for system designers in order to build the right information systems. The predicted variables are mathematical modeling skill, verbal modeling skill, general IT knowledge, and general business knowledge. The test was administrated to 43 students majoring in Management Information Systems (MIS) at Hannam University, South Korea. In this study, we used Pearson Correlation Analysis to test the relationships among variables. Overall, our study suggested that there is a strong positive relationship between mathematical and verbal skills and IS modeling ability. A marginal positive relationship between the general IT knowledge and IS modeling ability was also found. Unexpectedly, there was no significant relationship between general business knowledge and IS modeling ability.

The development of IT is transforming from the way it has been working face-to-face in performing projects to the online collaboration method using web-based tools. Therefore, various online collaboration tools are being developed and commercialized, including ‘Google Docs’, which is called the online office. Using these online collaboration tools, users can share documents with other users and collaborate in real time. Therefore, in recent years, companies and educational institutions have been using online collaboration tools to carry out tasks and projects that require collaboration. Various factors can affect the project performance satisfaction through online collaboration tools. In this regard, it is necessary to confirm the factors affecting the satisfaction of the project performance. However, there is not enough empirical research on the satisfaction of the performance through the online collaboration tool. Therefore, this study will investigate the mechanism of project performance satisfaction through online collaboration tool considering the Individual characteristics of the project performing subject, the relationship characteristics between the project members, and the system characteristics of the collaboration tool.

We propose a noise reduced risk aversion index for measuring risk aversion through a laboratory experiment to overcome disadvantages of the multiple pricing list format developed by Holt and Laury (2002). We use randomized multiple list choices with coarser classification and reward weighting, supplement the rank of risk aversion with extra individual characteristics of risk attitude, and construct an index of risk aversion by standardizing the risk aversion ranking with quantile normalization. Our method reduces multiple switching problems that noisy decision makers mistakenly commit in experimental approaches, so that it is free of the framing effect which severely occurred in the HL. Furthermore, the index doesn't utilize any specific utility function or probability weighting, which allows researcher to hold the independence axiom. Since our noise reduced index of risk aversion has many good traits, it is widely used and applied to reveal fundamental characteristics of risk-related behaviors in economics and finance regardless of experimental environment.

The internet is spreading widely and malicious comments which is a negative aspect is increasing. Previous studies have considered anonymity as a cyber characteristic of malicious comments. However, there are a theoretical confusion due to inconsistent results. In addition, the dissemination, one of cyber characteristics, have been mentioned the theoretical relationship on malicious comments, but measurement and empirical study about dissemination were still limited. Therefore, this study developed a measurement of dissemination and investigated the relationship between cyber characteristics (anonymity, dissemination) and malicious comments on Facebook. As a result of research, this study identified that anonymity is not significant on malicious comments and discovered that the dissemination of cyber space has a direct influence on malicious comments. This study suggests that information systems can contribute to malicious comments researches by proposing cyber characteristics.

The usage level of SMEs’ win-win payment system is still lower than originally expected. In order to find the answer, we studied SMEs’ usage performance of win-win payment system and analyzed the influencing factors of SMEs’ usage level of win-win payment system. This study found that the more SMEs utilize win-win payment system, the higher they achieve the desired performance in finance, customer, process, learning and growth perspective. And this study found that usage level of win-win payment system is high in order of large corporations’ pressure, government policy, and SMEs’ readiness. This study is expected to improve win-win growth by increasing usage level of win–win payment system between large corporations and SMEs, while establishing desirable ecosystems.