Soo-Myung Choi ¹, Seong-Taek Park ¹, Young-Ki Kim ¹

Affiliations
1 Department of Management Information Systems, Chungbuk National University, Cheongju-si, Chungbuk - 28644, KR

Abstract

Objectives: This study, on the subject of China’s electrical and electronic industries which are making much investment in R&D, aims to grasp why they patent or don’t patent the output of R&D. Methods/Statistical Analysis: This study drew “to patent” and “not to patent” factors through specialist Delphi with factors drawn from foregoing studies. With them it proceeded with direct or online survey on the subject of electrical and electronic industries in China. Finally, importance was calculated by finding means and standard deviations from collected factors. Findings: This study aims to look at the purposes of applying or not applying for patent presented by foregoing studies and conduct empirical analysis on Chinese enterprises. It was the order of performance index, preventing patent infringement suit, license profit, preventing imitation and blocking competitor’s activity in the order. It was in the order of maintaining secrecy, patent maintenance cost, making corporate information public, patent application cost, easy invention and difficulty in proving a new invention. Difference between this study and foregoing studies lies in that this study made study on the subject of China’s electric and electronic industry but foregoing studies made survey on Korean enterprises. A small number of samples for metrics seem to have caused such difference. Improvements/Applications: This study’s suggestion is that it can be used by Chinese enterprises at the time of setting up strategic intellectual property rights from R&D stage; Practitioners could use this study for guideline in establishing each company’s intellectual property right strategy.

Keywords

Patent, To Patent, Not To Patent, China Industry, IPR.

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Seong-Taek Park ¹, Young-Ki Kim ¹

Affiliations
1 Department of Management Information Systems, Chungbuk National University, Cheongju-si, Chungbuk - 28644, KR

Abstract

Objectives: This study aims to grasp an enterprise’s monopoly mechanism strategy on the subject of Korea’s ICT industry and propose monopoly strategy through it. Methods/Statistical Analysis: For 9 monopoly mechanism drawn from foregoing studies, direct survey was conducted on the subject of 50 ICT enterprise practitioners. Survey was made using 5-point Likert scale from 1 point of don’t agree at all to 5 points of agree very much. Finally, for 9 monopoly mechanisms analysis was made through means and dispersal standard deviation. Findings: This study is to reveal differences in the effectiveness of the appropriation mechanism that can reflect the characteristics of the ICT industry and domestic situations and classify the types. The importance was found in the order of patents, complementary sales/service, trade secret and lead-time, patents to prevent duplication, design registered and economies of scale, confidentiality by making technology or design complicated, manufacturing complementation in the H/W industry. In the S/W industry, the importance was found in the order of complementary sales/service, complementary manufacturing, patents, economies of scale, patents to prevent duplication, trade secret, lead-time, confidentiality by making technology or design complicated. Improvements/ Applications: Results of this study may help domestic ICT enterprises model the optimized mechanism plan for the monopoly of compensation and profit for technological innovation and conduct monopoly mechanism strategy.

Keywords

Bedak sejuk, Cosmetic Powder, Natural Cosmetic, Rice Starch, Safety Evaluation.

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Kwan-Woo Cheon ¹, Young-Ki Kim ², Soo-Myung Choi ², Seong-Taek Park ²

Affiliations
1 Videojet Techonologies Inc, Korea
2 Department of Management Information Systems, Chungbuk National University, Korea

Abstract

Objectives: This study is intended to deal with appropriability in electronic components of Korea, aimed to study measures for strategies to secure revenue in terms of R&D. Methods/Statistical Analysis: The study is based on the Delphi methodology in a rank format. Thus, this study was performed divided into three stages as shown in Schmidt et al. The first was a brainstorming step. The second was reducing a step of reducing the entry of the list. The third was a step of ranking factors. Based on this, priorities of appropriability were determined. Findings: These studies conducted a Delphi survey of the factors presented in the preceding research with experts and primarily draw five factors of the method for securing profitability from R&D. This study analyzed the importance of five appropriability factors with electronic component manufacturers through a ranking-type Delphi method. As a result, the order of importance was as follows: Patent, complementary sales/service, secret, lead-time advantage and complementary manufacturing. Application/ Improvements: The field experts’ opinions were reflected, and with the results of this survey, proper interpretations can be drawn and used by making use of their experiences in the field.

Keywords

Appropriability, Complementary, Lead Time Advantage, Patent, Trade Secret.

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Guozhong Li ¹, Hong Jin ², Seong-Taek Park ³

Affiliations
1 Department of Management Science and Information System, Kunming University of Science and Technology, No. 68 Wenchang Road, 121 Street, Kunming, Yunnan Province, 650093, CN
2 School of Business, Jiangxi Normal University, 99 Ziyang Ave Nanchang, Jiangxi, 330022, CN
3 Department of Management Information Systems, 1 Chungdae-ro, Seowon-gu, Cheongju Chungbuk, 28644,South Korea

Abstract

Objectives: This study aims to shed light on the factors that influence mobile social networking applications (Wechat) users' intention and behaviors to share knowledge from the perspective of both media and psychological features. Methods/Statistical analysis: This research conducted questionnaire survey via online survey company (Wenjuanxing) and 197 samples were collected. Based on the data collected, research model and hypotheses were tested using smart pls 2.0. Internal consistency, convergent validity and discriminant validity were examined that were required in Partial Least Squares (PLS) analysis. Findings: The analytical results of this research show that media features-mobility and interactivity is insignificantly related with the Wechat users' intention to share knowledge. Users' psychological featuresaltruism, sense of self-worth and knowledge self-efficacy were found significantly related with users' Knowledge Sharing Intention (KSI) and Knowledge Sharing Behaviors (KSB). This research empirically examined users' psychological features which were found to be the main factors that drive individuals to participate in the knowledge sharing activities on mobile devices. These findings are particularly significant by having a deep insight into individual’s knowledge sharing activities from the perspectives of both media and users' psychological features in the mobile internet era. The results of this research are believed to contribute to the future research on people's new knowledge acquisition patterns. Application/Improvements: The results of this study will provide great benefits to companies or educational institutions with evidences of individual of their information acquisition behaviors in today's mobile internet era.

Keywords

Interactivity, Knowledge Self-Efficacy, Knowledge Sharing Behaviors, Mobility, Sense of Self-Worth, Wechat.

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Ko Mi-Hyun ¹, Kim Byung-Sung ², Kim Do-Yeon ³, Seong-Taek Park ⁴

Affiliations
1 Department of Policy Research, Korea Institute of Science and Technology Information, KR
2 ATMAN Partners, KR
3 Center for Free Semester and Career Experience Program, Korea Research Institute for Vocational Education and Training, KR
4 Department of Management Information Systems, Chungbuk National University, KR

Abstract

Background/Objectives: This study was aimed to derive directions and implications of self-directed learning semester policy by comparing similarities and differences between self-directed learning semester policy in Korea and transition year policy in Ireland and highlighting experiences of the transition year policy. Methods/Statistical Analysis: For this study, related news data online about Ireland’s Transition Year and Korea’s Self-Directed Learning Semester were collected by using JAVA. As data for the entire study, the news articles generated in Never from Jan 1, 2012, which was the previous year before Korea’s Self-Directed Learning Semester was demonstrated to Mar 6, 2016 for a total of 1556 days, were used. To calculate the frequency of words after removing the overlapped articles of news data collected from Naver, R package. Findings: In This study searched and collected (crawling) the articles from Naver on Transition Year, a role model for Self-Directed Learning Semester and Self-Directed Learning Semester to be enacted from 2016 and analyzed similarities and differences. Year, education, career path, self-directed learning, semester system, and experience were drawn as an important factor. Regarding Self-Directed Learning Semester, education, self-directed learning, semester system, career, and experience were drawn as important factors. Commonly in both Transition Year and Self- Directed Learning Semester, education, self-directed learning, semester system, career, and experience were drawn as important factors. Government’s policy towards Self-Directed Learning Semester is a good intention, but more positive supports are necessary at the government level for producing various programs and activities so that the Self- Directed Learning Semester can be well resettled and activated. Application/Improvements: This study compared similarities and differences between Self-Directed Learning Semester of Korea and Transition Year of Ireland based on online news articles and drew implications for the Self-Directed Learning Semester policy in light of Transition Year.

Keywords

Big Data, R, Self-Direction Learning Semester, Text Mining, Transition Year.

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Keun-Won Kim ¹, Guozhong Li ², Seong-Taek Park ³, Mi-Hyun Ko ⁴

Affiliations
1 Department of Management, Sogang University, KR
2 Department of Management Science and Information System, Kunming University of Science and Technology, CN
3 Department of Management Information Systems, Chungbuk National University, KR
4 Department of Policy Research, Korea Institute of Science and Technology Information, KR

Abstract

Background/Objectives: This study was conducted to solve the problem by predicting vaccine demand in advance through analysis of progress of birth of newborn babies in our country. Methods/Statistical Analysis: The deducted problem was defined and information, data, and use analysis method and planning procedures for creating alternatives for this issue were conducted. Afterwards, R which is an open source analysis tool was used to analysis and for visualization. In this analysis, a time series model (ARIMA model, Box-Jenkins methodology) was used to predict demand and perform the research to predict the number of births in Republic of Korea. Findings: The tuberculosis vaccines in Korea are currently being entirely of imported ones. However, the import volume often lacks meeting the demand. In this paper, research was performed to predict the demand of tuberculosis vaccines to secure vaccine stock. As result of analysis, the number of births next year was predicted to be 445,558 (in 2016). Also, analyzed results showed that approximately 388,251 to 502,864 babies will be born in reliability level of 85% and that approximately 357,915 to 533,200 babies will be born in reliability level of 95%. Vaccine should be prepared standard to the minimum value within error range because vaccines have expiration dates. Also, if more births occur than the predicted result, the issue can be coped in prior plans of preparing BCG seal-type vaccines by comparing with monthly predicted number of births. Application/Improvements: The results of this study will be applied to the ways to politically solve problems such as supply and demand of BCG vaccine for the expected newborns.

Keywords

ARIMA, Big Data, BCG Vaccine, Demand Prediction, Forecasts.

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Tae-Gu Kang ¹, Yeong-Real Kim ¹, Dong-Woo Kim ², Seong-Taek Park ¹

Affiliations
1 Department of Management Information Systems, Chungbuk National University, KR
2 Department of Big Data, The Korea Association of Software Manpower, KR

Abstract

Background/Objectives: The present study analyzes an improvement plan for bicycle roads by using the public data of Seoul and proposes its implications. Methods/Statistical Analysis: In this study, an analysis was performed by utilizing a big data analysis tool, R. The present study, after defining the deducted problem phenomenon, conducted a process of planning which included the necessary information for finding an alternative for resolution and a data and application analysis technique. The data needed in the analysis was obtained from the Seoul open data square and the public data portal. The study attempted analysis and visualization by using the open source tool of R for analyzing the data, and conducted a process of interpretation. Findings: In this study attempts to find an alternative that can prevent bicycle safety exercises. The study presents the problems of current bicycle roads and their improvement plan by big data analysis which includes the relationship between the installation rate of bicycle roads and the bicycle accident rate, the location of bicycle roads, the location of bicycle amenities, and population data. In this study attempts to find an alternative that can prevent bicycle safety exercises. To achieve this, the study presents the problems of current bicycle roads and their improvement plan by big data analysis which includes the relationship between the installation rate of bicycle roads and the bicycle accident rate, the location of bicycle roads, the location of bicycle amenities, bicycle satisfaction, bicycle use statistics, and population data. The generalization of bicycle roads to regular residences implies a construction by considering the connectivity and stability of bicycle roads, but atypical infrastructure construction has played a part in increased damages resulting from the ignorance of bicycle users to traffic safety regulations. The perception of bicycle users must change and the building of bicycle roads must be based on people centered transportation infrastructure. Application/Improvements: The results of this study can be used as part of improvement of bicycle road accidents by central government and local governments. The results seem to be applied in policy, such as building bike paths centered around pedestrians.

Keywords

Big Data, Bicycle Road, Comparative Analysis, Data Analysis, R.

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Hyuk Im ¹, Seong-Taek Park ², Mi-Hyun Ko ³

Affiliations
1 Center for Free Semester and Career Experience Program, Korea Research Institute for Vocational Education and Training, Republic of Korea
2 Department of Management Information Systems, Chungbuk National University, Republic of Korea
3 Department of Policy Research, Korea Institute of Science and Technology Information, Republic of Korea

Abstract

Background/Objectives: We wanted to find out the relationship between self-disclosure intent to disclose themselves online openly and the right to be forgotten that they want their information to be forgotten online. Methods/Statistical Analysis: In order to measure each variable of the research model, all items of the questionnaire were measured with fivepoint Likert scale. Questionnaire items were modified according to the environment called social network service from existing studies. Also, verification for the measurement model was carried out targeting a total of 115 responses used in the analysis. For measurement model verification, we used Partial Least Square, a structural equation approach and used SmartPLS 2.0. Findings: According to the study results, perceived privacy risk had a significant effect both on privacy protection awareness and privacy concern. Perceived privacy can be understood to affect acceptance of the right to be forgotten by a medium of privacy protection awareness and privacy concern because the path known for privacy protection awareness and privacy concern to affect acceptance of the right to be forgotten was also found to be significant. On the other hand, the hypothesis that privacy self-efficacy affects privacy protection awareness and the hypothesis that privacy concern and acceptance of the right to be forgotten have a significant effect on self-disclosure intent were rejected. In order to use SNS, some degree of personal information disclosure is inevitable. Therefore, feeling concerned about privacy or not does not have any effect on self-disclosure intent in SNS. Likewise, the relationship between acceptance of the right to be forgotten and self-disclosure intent also turned out not to be related each other. Application/Improvements: Protection Motivation Theory should be applied as the antecedent of privacy protection awareness or in-depth research on other privacy-related factors affecting self-disclosure intent in addition to self-presentation needs.

Keywords

Partial Least Square, Privacy Self-Disclosure, Social Network Services, The Right to be Forgotten

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Bit-Na Yun ¹, Dong-Hyun Lim ¹, Guozhong Li ², Seong-Taek Park ³

Affiliations
1 Departement of Business Administration, Korea National University of Transportation, Korea
2 Department of Management Science and Information System, Kunming University of Science and Technology, CN
3 Department of Management Information Systems, Chungbuk National University, Korea

Abstract

Background/Objectives: The present study performed a positive analysis on the factors affecting entrepreneurial intention with a focus on the moderating effect of self-efficacy by pre-entrepreneurs including university students and nascent entrepreneurs. Methods/Statistical Analysis: The present used Smart PLS 2.0 to verify the selected model. PLS analysis requires verification of measurement questions and constructs. Moreover the PLS method was used a suitable manner in the early stage of development of a theory that has not been verified. It is because this study has the strong nature of an exploratory study. Findings: As a study on the influence on the entrepreneurial intention of pre-entrepreneurs, the present study positively analyzed the relationship between locus of control educational factors and organizational factors, and the mediating role of self-efficacy, by using self-efficacy as a moderating variable. As a result of hypothesis verification, hypothesis 1, which claims that locus of control positively affects entrepreneurial intention, is adopted, along with hypotheses 2 and 3 which claim that educational and organizational factors positively affect entrepreneurial intention. However, the analysis of the moderating effect of self-efficacy against each factor revealed no such effect, so hypotheses was rejected. Application/Improvements: In this study, it is expected to systematically develop and apply programs for entrepreneurial candidates in terms of start-up by looking at the underlying reasons for university students to fail o the start-up.

Keywords

Enterpreneurial, Intention, Pre-Enterpreneurial, PLS, Self-Efficacy

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