• 한국산업정보학회논문지
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• 제29권2호
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• pp.133-151
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• 2024

본 연구는 126년간 제약업을 이어온 동화약품의 핵심가치를 분석하고 꾸준히 경쟁우위를 가질 수 있었던 핵심역량을 살펴보는 것을 목적으로 한다. VRIO Framework을 적용했을 때 126년간 액상형 소화제 시장에서 1위를 지키고 있는 동화약품의 '활명수'를 비롯한 다양한 일반의약품은 '지속적 경쟁우위'를 발생시키는 강력한 자원(Value)이다. 동화정신을 바탕으로 지켜온 원칙경영과 오랜 시간 굳건히 지켜온 믿음, 신뢰 그리고 기업가 정신은 희소성(Rarity)을 가진다. 기네스북 4관왕을 비롯한 다수의 신약 특허를 보유하고 있으며, '한국산업 브랜드파워' 소화제 부문 19년 연속 1위를 차지하며 '골든 브랜드'에 선정되었을 뿐 아니라 다수의 제품이 소비자에게 인지도가 매우 높은 점 등은 모방불가능성(Imitability)이 높다고 할 수 있다. 마지막으로 명확한 직급체계, 공정한 인사고가, 다양한 교육훈련, 높은 수준의 직원복지와 연봉 등 자원을 효율적으로 활용할 수 있도록 조직(Organization)되어 있다. 본 연구는 동화약품의 경영적 측면에서 핵심가치를 체계적으로 분석하였으며 더불어 장수기업으로 나아가기 위한 방향을 제시하였다. 이러한 연구결과는 장기적인 경영전략 수립 시 유용한 시사점을 제공할 것으로 기대한다.

• 벤처창업연구
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• 제17권5호
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• pp.1-16
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• 2022

창업은 국가경쟁력을 높이고 고용을 창출하는 국가 핵심 전략임에도 불구하고 스타트업의 생존율은 크게 개선되고 있지 않다. 이는 기존 창업지원기관과 투자자의 고유한 한계성으로 창업의 초기단계인 스타트업에게 적시에 적절한 지원을 제공하지 못하는 것이 중요한 원인이다. 비교적 최근에 등장한 액셀러레이터는 스타트업에게 전문보육과 투자를 동시에 제공함으로 스타트업의 생존율을 크게 개선하여 주목받고 있다. 그러나 액셀러레이터의 생존과 성공에 영향을 미치는 투자결정요인에 대한 연구는 소수의 실증연구만 있을 뿐이며 이론적 근거가 부족한 실정이다. 본 연구는 선행연구를 통해 이론적 기반을 제시한 비즈니스 모델 혁신 관점의 액셀러레이터 투자결정요인을 21개로 세분화하여 국내 액셀러레이터 투자전문가를 대상으로 AHP(Analytic Hierarchy Process, 계층분석과정) 분석 기법을 사용하여 요인별 중요도를 분석하였다. 분석 결과 액셀러레이터 투자결정요인 중요도의 상위요인은 '인적자원', '고객·시장', '지적자원', '창업가의 기회실현능력' 순으로 나타났다. 이는 액셀러레이터가 스타트업 투자의사결정시 솔루션 구현을 위한 스타트업의 핵심역량을 가장 중요한 요인으로 생각하고 있음을 알 수 있다. 또한 액셀러레이터는 스타트업의 핵심 경쟁력에 기반 한 명확한 가치제안과 차별화된 시장 포지션을 창출할 수 있도록 전략적이고, 핵심가치의 전달 방식은 시장 지향적인 비즈니스 모델을 선호하며, 급변하는 시장 속에서 한정된 자원으로 비즈니스 모델을 실현하기 위해서는 창업가의 혁신역량을 중요한 요인으로 인식하고 있음을 확인할 수 있었다. 본 연구는 액셀러레이터 투자 대상이 되는 스타트업의 본질과 목표, 주요 활동을 잘 반영하고 있는 비즈니스 모델 혁신 이론에 근거해 도출한 액셀러레이터의 투자결정요인에 대한 후속 연구로서 액셀러레이터의 투자결정요인의 중요도를 분석하였다는 점에서 학문적 의의가 있다. 또한 액셀러레이터에게 투자의사결정을 위한 이론적 근거와 세부 투자결정요인에 대한 구체적인 정보를 제공함으로써 효과적인 투자를 할 수 있게 하며 투자유치를 희망하는 스타트업이 투자유치를 위해 무엇을 준비해야 하는지 안내함으로써 국내 스타트업 투자생태계 활성화에 기여함으로 실무적 가치가 있다.

• 유통과학연구
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• 제11권6호
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• pp.31-40
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• 2013

Purpose - The Northeast Asian Logistic Hub strategy was established to create a national competitive advantage in northeast Asia. Countries in this region are competing fiercely to become the central base distribution port as the volume of container shipping continues to increase due to the northeast Asian (especially Chinese) economic growth. The primary method by which shippers are improving their customer service and distribution is enhancing profits by minimizing call ports on the key route through strategic affiliations and the use of large vessels. Each nation is planning large-scale investments in the construction of sea ports that can accommodate large vessels. This paper proposes ways by which the logistical strategies of domestic corporations can keep pace with changes in government policy concerning the Northeast Asian Business Hub policy. It examines the logistics system in the Northeast Asian region, analyzes the government's Northeast Asian Business Hub policy, and suggests logistical strategies for domestic corporations through an analysis based on a questionnaire designed to grasp domestic firms' needs and goals. Research design, data and methodology - The purpose of this study is to determine how shipping companies establish partnerships with third-party logistics providers and draws out the implications of the results. The survey methods used were personal interviews and questionnaires distributed to a sample population through e-mail, fax, mail, and telephone. A total of 600 questionnaires were distributed, of which 165 were returned. Among these, ten were excluded due to insufficient content; ultimately, 155 were used for the sample. The statistical data collection process was analyzed through data coating and a statistical package program. Results - This study argues that greater flexibility in policies, administration, and systems will be needed to significantly improve established business practices. In this dissertation, we primarily identify that in order to become a center of northeast Asian logistics, Korea must adopt a new paradigm and abandon the existing systems that are based on the economic and social systems that have stemmed from bureaucracy, inflexibility, chauvinism, and equalitarianism. Flexible policies, administration, and systems will be necessary to improve business practices. Domestic corporations must establish a strategic logistics hub and related network while simultaneously pursuing value-added logistics businesses by increasing their manpower and building a logistics information system. This will strengthen their competitive edge and lead to system improvements. Conclusions - Domestic corporations must adopt a new paradigm and use more reasonable business laws, systems, and policies that are based on market-driven flexibility and transparency. Moreover, social norms and regulations should be established to help ensure political and social security. Korea must also develop a culture of tolerance for foreign companies. Finally, the paradigm defining the policy governing the development of the capital city and its satellite cities in this context must be changed.

• 유통과학연구
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• 제12권2호
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• pp.95-103
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• 2014

Purpose - Korea has a better geographical location than other nations in the Northeast Asian region. This means that Korea has an opportunity to become the center of international physical distribution in Northeast Asia. Korea should take advantage of this opportunity by exploring appropriate strategies to achieve this goal, assuming government willingness, with a view to capitalizing on the geographical advantage of the Korean peninsula and constructing a comprehensive physical distribution network system. If we prepare for this scenario, Korea could become the center of international physical distribution in Northeast Asia. Research design, data, and methodology - This study has the purpose of determining how shipping companies form partnerships with third-party logistics providers, and the relevant implications. The survey methods used were personal interview and a questionnaire distributed through e-mail, fax, mail, and telephone. A total of 600 questionnaires were distributed, out of which 285 were returned. Of the collected questionnaires, 10 were excluded because of insufficient content, leaving 275 to be used in the study as available valid samples. The data that was collected from these samples was analyzed using the data coating process and by employing a statistical package program. Results - Flexible policies, administration, and systems will be needed to create better business practices. In this dissertation, first and foremost, the results reveal that in order to become the center of Northeast Asian logistics, Korea must transition into a new paradigm based on the current economic and social systems that have stemmed from bureaucracy, inflexibility, chauvinism, and egalitarianism. Flexible policies, administration, and systems will be required to create better business practices. Domestic logistics corporations need to occupy a strategic logistics hub, create a logistics network, and activate value-added logistics business strategies by ensuring significant manpower and by building a logistics information system to strengthen their competitive edge, creating an improved system. Conclusions - In this dissertation, first and foremost, we point out that in order to become a center of North East Logistics, Korea should change to a new paradigm from the old one based on current economic and social systems that have stemmed from bureaucracy, inflexibility, chauvinism, and egalitarianism. More reasonable business laws, systems, and policies based on market-driven flexibility and transparency should be created. Moreover, social norms and rules should be reasonably established, to accomplish political and social security. Korea has to cultivate a culture of tolerance for foreign companies. This involves a change of paradigm for the development of the capital city and satellite cities. It will take a powerful task force or organization to plan and execute the vision that aims to meet these needs, accomplish the necessary goals, use the appropriate system effectively, and make Korea a key country in the field of Northeast Asian logistics.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권11호
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• pp.527-536
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• 2017

최근 스마트 그리드 산업의 발달과 더불어 효과적인 에너지 관리 시스템의 필요성이 커지고 있다. 특히, 전기 부하 및 에너지 요금 감소를 위해서는 정확한 전력수요 예측과 그에 따른 효과적인 스마트 그리드 운영 전략이 필요하다. 본 논문에서는 보다 정확한 전력수요 예측을 위하여, 수요 시한 기준으로 수집된 전력 사용 데이터를 고시간 해상도로 분할하고, 이에 적합한 인공 신경망 기반의 전력수요 예측 모델을 구축하고자 한다. 예측 모델의 정확도를 향상시키기 위하여 우선, 수열 형태의 시계열 데이터가 가지는 주기성을 제대로 반영하지 못하는 기계 학습 모델의 문제점을 해결하고자, 시계열 데이터를 2차원 공간의 연속적인 데이터로 변환한다. 더욱이, 고시간 해상도에 따른 온도나 습도 등 외부 요인들의 보다 정확한 반영을 위해 이들에 대해서도 선형 보간법을 사용하여 세분화된 시점에서의 값을 추정하여 반영한다. 마지막으로, 구성된 특성 벡터에 대해 주성분 분석 수행을 통하여 불필요한 외부 요인을 제거한다. 예측 모델의 성능을 평가하기 위해서 5겹 교차 검증을 수행하였다. 실험 결과 모든 고시간 해상도에서 성능 향상을 보였으며, 특히 3분 해상도의 경우 3.71%의 가장 낮은 오차율을 보였다.

• Bulletin of the Korean Chemical Society
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• 제32권3호
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• pp.1000-1006
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• 2011

The discovery of carbohydrate-based bioactive compounds has recently received considerable interest in the drug development. This paper stresses on the application of 1-methoxy-O-glucoside as the central scaffold, whereas salicylic pharmacophores were introduced with diverse spatial orientations probing into the structural preference of an enzymatic target, i.e. protein tyrosine phosphatase 1B (PTP1B). By employing regioselective protection and deprotection strategy, 2,6-, 3,4-, 4,6- and 2,3-di-O-propynyl 1-methoxy-O-glucosides were previously synthesized and then coupled with azido salicylate via click chemistry in forming the desired bidentate salicylic glucosides with high yields. The inhibitory assay of the obtained triazolyl derivatives leads to the identification of the 2,3-disubstituted salicylic 1-methoxy-O-glucoside as the structurally privileged PTP1B inhibitor among this bidentate compound series with micromole-ranged $IC_{50}$ value and reasonable selectivity over other homologous PTPs tested. In addition, docking simulation was conducted to propose a plausible binding mode of this authorized inhibitor with PTP1B. This research might furnish new insight toward the construction of structurally different bioactive compounds based on the monosaccharide scaffold.

• 한국경제지리학회지
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• 제4권1호
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• pp.61-76
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• 2001

1990년대 들어 지식기반경제 시대의 도래와 더불어 산업의 경쟁력 제고와 지역간 균형발전을 동시에 도모하기 위한 혁신체제(innovation system)의 중요성이 북미 및 유럽을 중심으로 논의되고 있다. 이에 따라 본 연구는 이와 관련된 이론 및 정책사례를 검토하여 혁신체제의 개념 및 프레임웍을 정립하고 기업의 혁신행태, 네트워크 유형, 정책수요에 대한 설문조사 결과를 바탕으로 우리 산업에 적합한 혁신체제 구축 방향을 모색하였다. 혁신체제는 혁신주제간의 연계를 파악하기 위한 개념적 분석체계로서 산업 클러스터를 중심으로 가치사슬(Value chain)을 구성하는 기업간 혹은 기업과 지식하부구조간의 네트워크 형성을 위한 제도적 환경(framework condition)을 말한다. 본 연구는 우리 실정에 적합한 혁신체제의 구축을 위해서는 특정 산업을 중심으로 클러스터 형성과 네트워크 활성화하기 위한 3개 분야의 혁신시설 및 제도를 정비.확충하고, 이들을 지역 여건과 전략산업의 특성에 따라 우선 순위와 운영체계를 차별화시키는 것이 필요함을 제시하였다. : $\circled1$ 생산-과학기술 혹은 생산기업지원의 직접적인 연계를 담당할 시스템 연계기관의 확충, $\circled2$ 간접적인 연계 및 기업지원의 단일 창구로서 지역 플랫폼 설립, $\circled3$ 지역 여건과 산업 특성에 적합한 다양한 산업발전 전략을 수립.추진하기 위한 지역발전 기구의 설립.

• Asia pacific journal of information systems
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• 제24권4호
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• pp.443-472
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• 2014

To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.

• Asia pacific journal of information systems
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• 제23권3호
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.

• 환경영향평가
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• 제27권2호
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• pp.203-214
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• 2018

본 연구는 국내에 서식하는 뉴트리아의 집중분포지역과 잠재적인 서식가능지역을 예측하여 효과적인 관리방향 설정에 유용한 자료를 제공하고자 하였다. 뉴트리아의 전국 분포 자료를 토대로 CVh(가능도 교차타당성)값을 띠폭(bandwidth)에 적용하여 분포밀도를 분석한 결과, 부산광역시, 대구광역시, 경상남도 소재 11개 시 군, 경상북도 소재 1개 군 등 낙동강수계에 위치한 14개 행정구역 내에서 우선적인 제거가 필요한 집중분포지역이 확인되었다. MaxEnt 모델을 이용한 잠재적인 서식가능지역 예측에서는 낙동강 중 하류 일대와 섬진강 하류, 가화천 일대에서 출현 가능성이 나타났다. 모형의 변수별 기여도는 고도, 건조한 달의 강수량, 가장 추운달의 최저온도, 수계로부터의 거리 순으로 높은 기여도를 보였으며, 출현확률과의 관계를 살펴보면, 고도 34m 이하의 저지대, 가장 추운달의 최저온도가 $-5.7^{\circ}C$이상 $-0.6^{\circ}C$ 이하인 지역, 가장 건조한 달의 강수량이 15-30mm, 수계로부터 1,373m 이하인 지역에서 임계값보다 높은 출현확률을 보였다. 뉴트리아의 생태적 특성과 본 연구결과를 종합하면, 고도, 물과의 접근성 및 이용성, 겨울철 낮은 기온이 뉴트리아의 정착과 확산에 영향을 주는 주요 요인으로 판단되므로 향후 서식가능지역의 검출과 확산 예측 모델링에 있어 중요한 변수로 검토될 수 있다. 뉴트리아와 같은 침입외래생물의 집중분포지역과 관리대상지역을 구분하고 그에 적합한 관리전략을 수립하여 관리현장에 적용하는 것은 영구적인 제어 목적의 관리에 있어 필수적인 사항이다. 본 연구에서 제시된 결과는 우선관리대상지역의 신속한 관리와 확산가능지역에 대한 사전 예방적 관리 등 전략적인 관리의 실행에 있어 유용한 자료로 활용될 수 있다.