중소기업 기술 유출에 대한 조기경보시스템 개발에 대한 연구

서봉군(Bong-Goon Seo),박도형(Do-Hyung Park) 한국지능정보시스템학회 2017 지능정보연구 Vol.23 No.1

Due to the rapid development of IT in recent years, not only personal information but also the key technologies and information leakage that companies have are becoming important issues. For the enterprise, the core technology that the company possesses is a very important part for the survival of the enterprise and for the continuous competitive advantage. Recently, there have been many cases of technical infringement. Technology leaks not only cause tremendous financial losses such as falling stock prices for companies, but they also have a negative impact on corporate reputation and delays in corporate development. In the case of SMEs, where core technology is an important part of the enterprise, compared to large corporations, the preparation for technological leakage can be seen as an indispensable factor in the existence of the enterprise. As the necessity and importance of Information Security Management (ISM) is emerging, it is necessary to check and prepare for the threat of technology infringement early in the enterprise. Nevertheless, previous studies have shown that the majority of policy alternatives are represented by about 90%. As a research method, literature analysis accounted for 76% and empirical and statistical analysis accounted for a relatively low rate of 16%. For this reason, it is necessary to study the management model and prediction model to prevent leakage of technology to meet the characteristics of SMEs. In this study, before analyzing the empirical analysis, we divided the technical characteristics from the technology value perspective and the organizational factor from the technology control point based on many previous researches related to the factors affecting the technology leakage. A total of 12 related variables were selected for the two factors, and the analysis was performed with these variables. In this study, we use three - year data of Small and Medium Enterprise Technical Statistics Survey conducted by the Small and Medium Business Administration. Analysis data includes 30 industries based on KSIC-based 2-digit classification, and the number of companies affected by technology leakage is 415 over 3 years. Through this data, we conducted a randomized sampling in the same industry based on the KSIC in the same year, and compared with the companies (n = 415) and the unaffected firms (n = 415) 1:1 Corresponding samples were prepared and analyzed. In this research, we will conduct an empirical analysis to search for factors influencing technology leakage, and propose an early warning system through data mining. Specifically, in this study, based on the questionnaire survey of SMEs conducted by the Small and Medium Business Administration (SME), we classified the factors that affect the technology leakage of SMEs into two factors Technology Characteristics, Organization Characteristics). And we propose a model that informs the possibility of technical infringement by using Support Vector Machine(SVM) which is one of the various techniques of data mining based on the proven factors through statistical analysis. Unlike previous studies, this study focused on the cases of various industries in many years, and it can be pointed out that the artificial intelligence model was developed through this study. In addition, since the factors are derived empirically according to the actual leakage of SME technology leakage, it will be possible to suggest to policy makers which companies should be managed from the viewpoint of technology protection. Finally, it is expected that the early warning model on the possibility of technology leakage proposed in this study will provide an opportunity to prevent technology Leakage from the viewpoint of enterprise and government in advance.

심리적 소유감에 따른 메시지 프레이밍 효과: 온라인 서비스에서의 사용자 정보보안 행동을 중심으로

서봉군 ( Bong-goon Seo ),박도형 ( Do-hyung Park ) 한국지식경영학회 2018 지식경영연구 Vol.19 No.1

As the online space becomes more active, interest in protecting personal information is increasing. From this point of view, it is important to prevent personal information from being leaked in advance. As a precaution, it is suggested that users change their password periodically to protect their personal information effectively. Currently, various online services provide a request message that prompts users to periodically change their password. These messages are expressed as positive-centric or negative-centric. This message can be seen as a powerful way to trigger users' behavior. In this context, this study suggests that message framing type can be applied to the password change request message, and to investigate the difference between the positive-centric message and the negative-centric message. In addition, this study concluded that the effect of message type may be different depending on the degree of psychological ownership of the individual on the online service. As a result, users with high psychological ownership in online service were more effective when positive-centric message was presented than negative-centric message. On the other hand, users with low psychological ownership in online service were more effective when negative-centric message was presented than positive-centric message.

자원기반이론 관점에서의 벤처기업 성과에 관한 연구

유인진(In-Jin, Yoo),서봉군(Bong-Goon, Seo),박도형(Do-Hyung Park) 한국기술혁신학회 2017 한국기술혁신학회 학술대회 발표논문집 Vol.2017 No.11

중소기업 R&D 성공에 있어서 개방형 혁신의 효과에 관한 연구

유인진(In-Jin Yoo),서봉군(Bong-Goon Seo),박도형(Do-Hyung Park) 한국지능정보시스템학회 2018 지능정보연구 Vol.24 No.3

The Korean companies are intensifying competition with not only domestic companies but also foreign companies in globalization. In this environment, it is essential activities not only for large companies but also Small and Medium Enterprises (SMEs) to get and develop the core competency. Particularly, SMEs that are inferior to resources of various aspects, such as financial resources etc., can make innovation through effective R&D investment. And then, SMEs can occupy a competency and can be survive at the environment. Conventionally, the method of self-development by using only the internal resources of the company has been dominant. Recently, however, R&D method through cooperation, also called Open Innovation, is emerging. Especially SMEs are relatively short of available internal resources. Therefore, it is necessary to utilize technology and resources through cooperation with external companies(such as joint development or contract development etc.) rather than self-development R&D. In this context, we confirmed the effect of SMEs’ factors on sales in Korea. Specifically, the factors that SMEs hold are classified as `Technical characteristic`, `Company competency`, and `R&D activity` and analyzed how they influence the sales achieved as a result of R&D. The analysis was based on a two-year statistical survey conducted by the Korean government. In addition, we confirmed the influence of the factors on the sales according to the R&D method(Self-Development vs. Open Innovation), and also observed the influence change in 29 industrial categories. The results of the study are summarized as follows: First, regression analysis shows that twelve factors of SMEs have a significant effect on sales. Specifically, 15 factors included in the analysis, 12 factors excluding 3 factors were found to have significant influence. In the technical characteristic, `imitation period` and `product life cycle` of the technology were confirmed. In the company competency, `R&D led person`, `researcher number`, `intellectual property registration status`, `number of R&D attempts`, and `ratio of success to trial` were confirmed. The R&D activity was found to have a significant impact on all included factors. Second, the influence of factors on the R&D method was confirmed, and the change was confirmed in four factors. In addition, these factors were found that have different effects on sales according to the R&D method. Specifically, ‘researcher number’, ‘number of R&D attempts’, ‘performance compensation system’, and ‘R&D investment’ were found to have significant moderate effects. In other words, the moderating effect of open innovation was confirmed for four factors. Third, on the industrial classification, it is confirmed that different factors have a significant influence on each industrial classification. At this point, it was confirmed that at least one factor, up to nine factors had a significant effect on the sales according to the industrial classification. Furthermore, different moderate effects have been confirmed in the industrial classification and R&D method. In the moderate effect, up to eight significant moderate effects were confirmed according to the industrial classification. In particular, `R&D investment` and `performance compensation system` were confirmed to be the most common moderating effect by each 12 times and 11 times in all industrial classification. This study provides the following suggestions: First, it is necessary for SMEs to determine the R&D method in consideration of the characteristics of the technology to be R&D as well as the enterprise competency and the R&D activity. In addition, there is a need to identify and concentrate on the factors that increase sales in R&D decisions, which are mainly affected by the industry classification to which the company belongs. Second, governments that support SMEs’ R&D n

기업의 SNS 마케팅 활동이 이용자 행동에 미치는 영향: 페이스북 팬페이지 애널리틱스를 중심으로

전형준(Hyeong-Jun Jeon),서봉군(Bong-Goon Seo),박도형(Do-Hyung Park) 한국지능정보시스템학회 2020 지능정보연구 Vol.26 No.1

With the growth of social networks, various forms of SNS have emerged. Based on various motivations for use such as interactivity, information exchange, and entertainment, SNS users are also on the fast-growing trend. Facebook is the main SNS channel, and companies have started using Facebook pages as a public relations channel. To this end, in the early stages of operation, companies began to secure a number of fans, and as a result, the number of corporate Facebook fans has recently increased to as many as millions. from a corporate perspective, Facebook is attracting attention because it makes it easier for you to meet the customers you want. Facebook provides an efficient advertising platform based on the numerous data it has. Advertising targeting can be conducted using their demographic characteristics, behavior, or contact information. It is optimized for advertisements that can expose information to a desired target, so that results can be obtained more effectively. it rethink and communicate corporate brand image to customers through contents. The study was conducted through Facebook advertising data, and could be of great help to business people working in the online advertising industry. For this reason, the independent variables used in the research were selected based on the characteristics of the content that the actual business is concerned with. Recently, the companys Facebook page operation goal is to go beyond securing the number of fan pages, branding to promote its brand, and further aiming to communicate with major customers. the main figures for this assessment are Facebooks OK, Attachment, Share, and Number of Click which are the dependent variables of this study. in order to measure the outcome of the target, the consumers response is set as a key measurable key performance indicator (KPI), and a strategy is set and executed to achieve this. Here, KPI uses Facebooks ad numbers ‘reach’, ‘exposure’, ‘like’, ‘share’, ‘comment’, ‘clicks’, and ‘CPC’ depending on the situation. in order to achieve the corresponding figures, the consideration of content production must be prior, and in this study, the independent variables were organized by dividing into three considerations for content production into three. The effects of content material, content structure, and message styles on Facebooks user behavior were analyzed using regression analysis. Content materials are related to the contents difficulty, company relevance, and daily involvement. According to existing research, it was very important how the content would attract users interest. Content could be divided into informative content and interesting content. Informational content is content related to the brand, and information exchange with users is important. Interesting content is defined as posts that are not related to brands related to interesting movies or anecdotes. Based on this, this study started with the assumption that the difficulty, company relevance, and daily involvement have an effect on the dependent variable. In addition, previous studies have found that content types affect Facebook user activity. I think it depends on the combination of photos and text used in the content. Based on this study, the actual photos were used and the hashtag and independent variables were also examined. Finally, we focused on the advertising message. In the previous studies, the effect of advertising messages on users was different depending on whether they were narrative or non-narrative, and furthermore, the influence on message intimacy was different. In this study, we conducted research on the behavior that Facebook users behavior would be different depending on the language and formality. For dependent variables, OK and Full Click Count are set by every users action on the content. In this study, we defined each independent variable in the existing study literature and analyzed the effect on the depende

온라인 협업 툴을 통한 프로젝트 성과 창출 메커니즘 연구

박준영(Jun-Young Park),서봉군(Bong-Goon Seo),박도형(Do-Hyung Park) 한국기술혁신학회 2017 한국기술혁신학회 학술대회 발표논문집 Vol.2017 No.11

소비자 가치기반 디자인 평가 모형 개발 : 제품 속성, 인지 속성, 소비자 가치의 3단계 접근

김건우(Kim Keon Woo),서봉군(Seo Bong Goon),박도형(Park Do Hyung) 한국IT서비스학회 2017 한국IT서비스학회 학술대회 논문집 Vol.2017 No.1

최근 IT 기술의 발전 속도가 매우 빠르며, 소비자의 욕구도 다양하게 변화하고 있다. 특히, 스마트폰, 태블릿을 비롯한 여러 기기들이 빠른 속도로 출시되고 있으며, 스마트폰은 교체 수명주기가 줄어들면서 하나의 패션 아이템으로 자리 잡았다. 이들은 기능상의 발전도 있지만, 디자인 등과 같은 외형상의 발전에 초점을 맞추어 제품들이 출시되고 있다. 디자인이 중요해짐에 따라 소비자들이 어떤 메커니즘으로 디자인을 평가하는지에 대한 모형이 필요해졌다. 기존 연구들은 소비자들의 인지와 가치 부분에 초점을 맞추어 정성적인 부분을 정량화하려는 시도가 있었다. 그러나 본 연구는 인지와 가치의 기반이 되는 부분은 정량적인 제품 속성에 있다고 판단하였다. 제품 속성과 소비자가 느끼는 인지 수준, 최종적으로 전달된 가치들이 모두 반영된 3단계 디자인 평가 모형을 통해 제품 속성이 소비자 인지와 가치에 미치는 영향과 그 이유를 분석하고자 한다. 본 연구의 이론적 공헌은 기존 연구와 다르게 인지와 가치만이 아닌 제품 속성까치 포함한 전체적인 연구를 진행하였다는 점과, 소비자가 왜 그렇게 느끼는 지에 대한 설명, 그리고 스마트폰만이 아닌 다른 HCI와 UX 분야에서도 적용 가능한 모델을 제시했다는 점에서 의의가 있다. 또한, 실무적 공헌으로는 제품 개발 시 디자이너의 관점과 소비자의 가치 관점의 차이를 설명할 수 있고, 실제 소비자들이 어떤 속성에 주목하여 어떤 가치를 느끼는지에 대한 가이드를 제공했다는 점, 빅데이터와 인공지능 학습과 결합하여 진화 가능한 디자인 평가모델을 제안하였다는 의의가 있다.

소비자 감성기반 맞춤형 제품 분석에 관한 연구

유인진(In-Jin Yoo),서봉군(Bong-Goon Seo),박준영(Jun-Young Park),김건우(Keon-Woo Kim),박도형(Do-Hyung Park) 한국기술혁신학회 2018 한국기술혁신학회 학술대회 발표논문집 Vol.2018 No.11

본 연구에서는 SNS, 블로그 등 다양한 채널에서 공유되고 있는 개인이 작성한 제품 정보 및 후기를 바탕으로 감성분석을 활용하여 맞춤형 제품에 대한 분석을 수행하였다. 구체적으로, 제품 중 사용자의 리뷰 정보가 풍부한 화장품에 대하여 소비자 평가 상 상위 제품 100개를 선정하여 어떠한 유형의 감성 정보가 출현하는지를 확인하였고, 제품을 대표하는 공통감성과 제품별 고유감성을 확인하였다. 이후 제품과 감성간의 네트워크 분석을 통해, 제품이 네트워크에서 위치와 역할, 제품 간 유사도를 확인하였다. 마지막으로, 제품의 평점과 순위 등 객관적 정보와 소비자 감성간의 관계 도출을 통해, 순위 및 판매량에 대한 감성요인의 영향력을 확인하였으며 분석 결과 감성 네트워크를 통해 산출된 중심성 지수가 가장 큰 영향력을 가지는 것이 확인되었다. 본 연구의 결과를 통해 확인해 볼 수 있는 시자점은 다음과 같다. 첫 번째, 제품과 감성에 대한 선행연구들에 비하여 본 연구는 감성들의 강도뿐만 아니라 네트워크 분석을 통해서 감성들의 관계적인 특징을 정량화시켜 분석하는 데에 차별성이 존재한다. 두 번째, 선행 맞춤형 제품(화장품) 연구는 사용자의 피부 진단정보를 중심으로 이루어져 왔으나 ‘감성’이라는 범위를 특정하여 텍스트를 분석한 연구는 한정적으로 이는 유의미한 시도라 볼 수 있다. 이러한 소비자 감성을 활용하여 맞춤형 서비스의 고도화 및 차별화 전략 수립에 활용될 수 있을 것으로 기대된다. In this study, we tried to find meaningful insights in customized products using emotional analysis based on product information and reviews written by consumers shared in various channels such as SNS and blog. Specifically, we identified 100 kinds of top products in the consumer evaluation for “Cosmetics” with rich user review information, and confirmed what types of emotional information appeared. We also confirmed common emotions and unique emotions for each product. After analyzing the network between the product and the emotion, we found the similarity, location, role between the product and emotion in the network. Finally, the influence of emotional factors on ranking and sales volume was confirmed by deriving the relationship between objective information such as rating and ranking of products and consumer emotion, and it was confirmed that network centrality index calculated through emotional network has the greatest influence . The results of this study suggest the following theoretical and practical implications. The theoretical implications are as follows. Previous studies using data analysis have derived emotions and confirmed the impact of each individual emotional frequency. On the other hand, there is a difference in the quantification and analysis of the relational characteristics of emotions through network analysis. Practical implications are as follows. Studies on customized products that have been developed have been based on user"s skin diagnosis information. Analysis using some SNS has been performed, but research that analyzes the text by specifying the range of "emotion" is limited as in this study. Therefore, this study can be regarded as a some meaningful attempt. It is expected that this kind of consumer sensitivity will be utilized for the development of customized service and the strategy of differentiation. Finally, the research methodology presented in this study is easy to visualize the analysis results, and is easy to understand and can be used continuously through regular updates in the future. Therefore, it is an excellent methodology in terms of economic efficiency, practicality and sustainability. Therefore, it is expected that the practicality of the methodology will be high and it will bring about effective results.

융합산업 규제영향분석 프레임워크 개발: 신산업 분야별 규제이슈 사례 연구

송혜림(Hye-Lim Song),서봉군(Bong-Goon Seo),조성민(Sung-Min Cho) 한국지능정보시스템학회 2021 지능정보연구 Vol.27 No.3

Innovative new products and services are being launched through the convergence between heterogeneous industries, and social interest and investment in convergence industries such as AI, big data-based future cars, and robots are continuously increasing. However, in the process of commercialization of convergence new products and services, there are many cases where they do not conform to the existing regulatory and legal system, which causes many difficulties in companies launching their products and services into the market. In response to these industrial changes, the current government is promoting the improvement of existing regulatory mechanisms applied to the relevant industry along with the expansion of investment in new industries. This study, in these convergence industry trends, aimed to analysis the existing regulatory system that is an obstacle to market entry of innovative new products and services in order to preemptively predict regulatory issues that will arise in emerging industries. In addition, it was intended to establish a regulatory impact analysis system to evaluate adequacy and prepare improvement measures. The flow of this study is divided into three parts. In the first part, previous studies on regulatory impact analysis and evaluation systems are investigated. This was used as basic data for the development direction of the regulatory impact framework, indicators and items. In the second regulatory impact analysis framework development part, indicators and items are developed based on the previously investigated data, and these are applied to each stage of the framework. In the last part, a case study was presented to solve the regulatory issues faced by actual companies by applying the developed regulatory impact analysis framework. The case study included the autonomous/electric vehicle industry and the Internet of Things (IoT) industry, because it is one of the emerging industries that the Korean government is most interested in recently, and is judged to be most relevant to the realization of an intelligent information society. Specifically, the regulatory impact analysis framework proposed in this study consists of a total of five steps. The first step is to identify the industrial size of the target products and services, related policies, and regulatory issues. In the second stage, regulatory issues are discovered through review of regulatory improvement items for each stage of commercialization (planning, production, commercialization). In the next step, factors related to regulatory compliance costs are derived and costs incurred for existing regulatory compliance are calculated. In the fourth stage, an alternative is prepared by gathering opinions of the relevant industry and experts in the field, and the necessity, validity, and adequacy of the alternative are reviewed. Finally, in the final stage, the adopted alternatives are formulated so that they can be applied to the legislation, and the alternatives are reviewed by legal experts. The implications of this study are summarized as follows. From a theoretical point of view, it is meaningful in that it clearly presents a series of procedures for regulatory impact analysis as a framework. Although previous studies mainly discussed the importance and necessity of regulatory impact analysis, this study presented a systematic framework in consideration of the various factors required for regulatory impact analysis suggested by prior studies. From a practical point of view, this study has significance in that it was applied to actual regulatory issues based on the regulatory impact analysis framework proposed above. The results of this study show that proposals related to regulatory issues were submitted to government departments and finally the current law was revised, suggesting that the framework proposed in this study can be an effective way to resolve regulatory issues. It is expected that the regulatory impact analysis framework propose

경제적, 산업구조적, 문화적 요인을 기반으로 한 주요국가의 한국 품목별 수입액 예측 모형 개발: 한국의, 한국에 대한 문화적 요인을 중심으로

전승표(Seung-pyo Jun),서봉군(Bong-Goon Seo),박도형(Do-Hyung Park) 한국지능정보시스템학회 2021 지능정보연구 Vol.27 No.4

The Korean economy has achieved continuous economic growth for the past several decades thanks to the governments export strategy policy. This increase in exports is playing a leading role in driving Koreas economic growth by improving economic efficiency, creating jobs, and promoting technology development. Traditionally, the main factors affecting Koreas exports can be found from two perspectives: economic factors and industrial structural factors. First, economic factors are related to exchange rates and global economic fluctuations. The impact of the exchange rate on Koreas exports depends on the exchange rate level and exchange rate volatility. Global economic fluctuations affect global import demand, which is an absolute factor influencing Koreas exports. Second, industrial structural factors are unique characteristics that occur depending on industries or products, such as slow international division of labor, increased domestic substitution of certain imported goods by China, and changes in overseas production patterns of major export industries. Looking at the most recent studies related to global exchanges, several literatures show the importance of cultural aspects as well as economic and industrial structural factors. Therefore, this study attempted to develop a forecasting model by considering cultural factors along with economic and industrial structural factors in calculating the import volume of each country from Korea. In particular, this study approaches the influence of cultural factors on imports of Korean products from the perspective of PUSH-PULL framework. The PUSH dimension is a perspective that Korea develops and actively promotes its own brand and can be defined as the degree of interest in each country for Korean brands represented by K-POP, K-FOOD, and K-CULTURE. In addition, the PULL dimension is a perspective centered on the cultural and psychological characteristics of the people of each country. This can be defined as how much they are inclined to accept Korean Flow as each country’s cultural code represented by the country’s governance system, masculinity, risk avoidance, and short-term/long-term orientation. The unique feature of this study is that the proposed final prediction model can be selected based on Design Principles. The design principles we presented are as follows. 1) A model was developed to reflect interest in Korea and cultural characteristics through newly added data sources. 2) It was designed in a practical and convenient way so that the forecast value can be immediately recalled by inputting changes in economic factors, item code and country code. 3) In order to derive theoretically meaningful results, an algorithm was selected that can interpret the relationship between the input and the target variable. This study can suggest meaningful implications from the technical, economic and policy aspects, and is expected to make a meaningful contribution to the export support strategies of small and medium-sized enterprises by using the import forecasting model.