중소기업 기술 유출에 대한 조기경보시스템 개발에 대한 연구

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

급속한 IT의 발전으로 인해 개인정보뿐만 아니라 기업이 보유하고 있는 핵심 기술 및 정보에 대한 유출 위협이 중요한 이슈로 인식되고 있다. 기업에게 있어서 보유하고 있는 핵심 기술은 기업의 생존 및 지속적으로 경쟁우위를 차지하기 위해 매우 중요한 부분이다. 최근 기술 침해 사례가 많이 일어나고 있는데, 기술 유출은 기업에게 있어서 주가하락 등의 막대한 재무적인 손실을 가져올 뿐만 아니라, 기업의 신뢰에 손상을 입게 되고, 기업의 발전을 지연시키게 되는 악영향을 미치게 된다. 특히, 대기업에 비해 핵심기술이 기업 내 중요한 많은 부분을 차지하는 중소기업에 있어서 기술 유출에 대한 대비는 기업의 존립에 있어서 필수적인 요소로 볼 수 있다. 이처럼 정보 보안 관리의 필요성과 중요성이 대두되면서 기업 입장에서 조기에 기술 침해 위협에 대해 확인하고 대비할 필요가 있다. 본 연구에서는 기술 유출에 영향을 미치는 요인들을 탐색하는 실증 분석을 수행하고, 인공지능 알고리즘을 통해 기술유출 조기경보시스템을 개발하고자 한다. 구체적으로 본 연구에서는 중소기업이 보유한 기술 유출에 영향을 미치는 요인들을 로지스틱 회귀분석을 통해 확인해보고, 통계분석을 통해 검증된 요인들을 기반으로 인공지능 여러 기법들 중 하나인 Support Vector Machine을 활용하여 기술침해 가능성을 조기에 알려주는 모형을 개발하였다. 본 연구에서 제안하는 기술 유출 가능성에 대한 조기 경보 모형을 통해 기업 및 정부 관점에서 기술 유출을 미리 예방할 수 있는 기회를 제공할 수 있을 것으로 기대된다. 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.

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

소셜네트워크서비스(SNS)의 성장과 함께 다양한 형태의 SNS가 등장했다. 상호작용성, 정보 교류, 엔터테인먼트 등 다양한 이용 동기를 바탕으로 SNS 이용자 또한 빠르게 증가하는 추세이다. 그중 페이스북은 대표하는 SNS 채널로서 기업에서도 페이스북 페이지를 활용해 홍보 채널로 활용하기 시작했다. 이를 위해 운영 초기, 기업은 팬 수 확보에 나섰고 그 결과 최근 기업 페이스북 팬 수는 많게는 수백만에 이를 정도로 늘어났다. 기업의 목표는 팬 수 확보를 넘어 콘텐츠를 통해 고객에게 기업 브랜드 이미지를 재고하고, 나아가 소통하는 수단으로 활용하고 있다. 이를 평가하는 주요 수치가 바로 본 연구의 종속변수에 해당하는 페이스북의 ‘좋아요’, ‘댓글’, ‘공유’, ‘클릭 수’ 등이다. 해당 수치 달성을 위해 콘텐츠 제작에 대한 고민이 선행되어야 하는데, 본 연구에서는 콘텐츠 제작 고려 사항을 3가지로 나눠 독립변수를 구성하였다. 콘텐츠 소재, 콘텐츠 구조, 메시지 스타일 등이 페이스북의 이용자 행동에 미치는 영향을 회귀분석을 이용해 분석하였다. 종속변수의 경우, 콘텐츠상에 모든 이용자의 행동 ‘전체 클릭 수’로 설정하였다. 본 연구에서는 각 독립 변수를 기존 연구 문헌을 통해 정의하고, 종속변수에 미치는 영향을 분석하였는데, ‘전체 클릭 수’의 경우, ‘자사연관’, ‘실생활 관여도’, ‘격식 x 관여도’ 등의 변수가 유의미한 영향을 갖는 것으로 나타났다. 연구 결과를 통해, 콘텐츠 목적에 따른 최적화 된 콘텐츠 전략을 제시함으로써, 기업 페이스북 운영자와 콘텐츠 제작자의 운영, 제작 전략에 기여할 수 있을것으로 보인다. 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 company"s 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 Facebook"s "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 consumer"s response is set as a key measurable key performance indicator (KPI), and a strategy is set and executed to achieve this. Here, KPI uses Facebook"s 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 Facebook"s user behavior were analyzed using regression analysis. Content materials are related to the content"s 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 user"s action on the content. In this study, we defined each independent variable in the existing study literature and analyzed the effect on the depende

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.

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

산업의 경쟁력을 강화하기 위해서는, 새로운 기술의 개발 및 사업화와 함께 관련된 규제·애로를 발굴하고, 적기(適期)에 대응하는 것이 매우 중요한 요소로 작용한다. 현 정부에서는 이러한 산업적 변화에 대응하여 신산업에 대한 투자 확대와 함께 해당 산업 분야에 적용되고 있는 기존 규제메커니즘의 개혁을 추진하고 있다. 이러한 정부 정책방향에 맞춰, 본 연구는 신산업 분야에서 발생될 규제이슈를 선제적으로 예측하기 위해, 신제품 및 서비스의 시장진출에 있어서 걸림돌이 되는 기존 규제 제도를 발굴하고, 적정성 평가 및 개선방안을 마련하기 위한 규제영향분석 체계를 구축하고자 하였다. 그 결과로, 본 연구에서는 규제영향분석 프레임워크를 제시하였으며, 실제 규제이슈 사례를 적용하여, 분석하고 개선안을 도출하는 전반적인 과정을 보여주고자 하였다. 본 연구의 결과는 ’18년도에 정부에서 집중적으로 투자를 진행했던 융합 신산업 분야의 제품 및 서비스를 대상으로 하여, 기획(R&D)단계부터 상용화 되기까지의 일련의 과정에서 발생 가능한 규제들을 사전적으로 검토하는 방법론을 제안하였다. 규제영향분석 프레임워크를 통해 도출된 규제 개선안은 소관 부처에 건의되어, 실제로 법령이 개정되었다는 점에서 연구의 실무적 및 정책적인 시사점을 제시할 수 있으며, 본 연구에서 개발한 규제영향분석 프레임워크는 향후 신산업 분야에서 나타날 수 있는 규제 이슈들을 해결하는 것에 도움을 줄 수 있을 것으로 예상한다. 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

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 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.

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

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

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

본 연구는 2개년 중소기업 기술통계조사에 근거하여 기업의 기술특성, 기업역량, R&D 활동에 해당하는 요인들이 R&D를 통한 매출액에 어떠한 영향을 미치는지에 대해 조절회귀 분석을 수행하였다. 아울러 개발 방식에 따라 각 요인의 영향력 변화를 확인하고, 29개 산업에 대하여 동일한 분석을 진행하였다. 주요 연구결과는 다음과 같다. 첫째, 분석 결과 12개 요인이 매출액에 유의한 영향을 미치는 것으로 나타났다. 둘째, 기술개발 방식에 따른 요인의 영향력 변화를 분석한 결과, 4개의 요인에서 유의한 변화가 확인되었고, 이들 각의 요인에서 기술개발 방식에 따른 성과 창출에 서로 다른 조절효과가 확인되었다. 셋째, 매출액 영향 요인을 산업별로 검증한 결과, 산업별 최대 9개까지 성공요인을 보유하며, 산업별 개발방식에 따른 요인의 영향력 변화 분석 결과 산업별 최대 8개까지 유의한 변화가 확인되었다. 본 연구는 다음의 시사점을 가진다. 첫째, 중소기업은 기술개발 관련 의사결정시 해당 기업이 속한 산업에서 매출 증대 요인이 무엇인지 파악하여 집중할 필요가 있다. 또한 개발하는 기술의 특성, 기업의 역량, R&D 활동수준 등을 고려하여 기술개발방식을 결정하여야 한다. 둘째, 중소기업을 지원하는 기관에서는 관련 예산을 효과적으로 집행하기 위해 지원 기업 평가 시, 지원과제 및 지원목적에 따라 평가항목을 달리하는 상황별 가이드라인을 수립해야 한다. 특히 도출된 결과를 토대로 개방형 혁신 기업에 대한 맞춤형 지원 등을 통해 정책 효과성을 제고할 필요가 있다. 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