• 제목/요약/키워드: e-Business Model Development Process

검색결과 109건 처리시간 0.023초

Computer Aided Innovation 역량이 연구개발역량에 미치는 효과: 국내 중소기업을 대상으로 (The Effects of the Computer Aided Innovation Capabilities on the R&D Capabilities: Focusing on the SMEs of Korea)

  • 심재억;변무장;문효곤;오재인
    • 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.

성과측정의 전략적 활용을 위한 동적균형모형 구축 방법 (On Building A Dynamic BSC Model for Strategic Performance Measurement)

  • 박상현;이준철;이정화;김동호;김상욱
    • 한국시스템다이내믹스연구
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    • 제2권1호
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    • pp.69-92
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    • 2001
  • The Managing and measuring performance have long been a popular topic in business. Traditions of financially-oriented managing and measuring performance have provided managers with relatively objective and scientific results of measuring performance until now. But today the value of organization is influenced more by intangible assets than tangible assets. Nobody thus believes that the performance and the value of organization can be measured by financial indicators only. In this background, numerous researches have been conducted to find alternatives to measuring the value of organization's intangible assets. One of the remarkable achievements would be "Balanced Score Card (BSC), "which covers three sectors of indicators, each from customer relations, internal process innovations, and learning and human resource development, in addition to traditional financial indicators. Unfortunately, even BSC, let alone others, fails to accomodate all performance indicators as a holistic system. Namely, performance measuring techniques including BCS, at present, fail to reflect the dynamic features in their model - i.e., the casual relations and the interactions between the indicators, and there is no way of taking into account the impact of delayed feedback which flows from introduction of new policy and legislative changes, etc. Therefore, this paper attempts to devise a means for adding dynamic features to BSC, by introducing the system dynamics concept, with a focus on the effect of casual relations and feedback structure.

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자기주도형 인적자원개발 도구로서의 사이버 교육 프로그램의 효과 평가에 관한 연구;POSCO 안전관리 사이버 과정을 중심으로 (A Study on the Evaluation of Web-based Cyber Education Program as a Tool for Self Directed Human Resources Development)

  • 이성
    • 농촌지도와개발
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    • 제8권2호
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    • pp.179-190
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    • 2001
  • The purpose of this study was to analysis the education effects of web-based on-line cyber program mesaured by Kirkpatrick’s evaluation process. The average score on satisfaction of the program was 4.28(.59), which was designed to evaluate the level 1, reaction. To test level 2, learning, the average score that students achieved was calculated and it was 86.87(std.=7.05) in the term examinations. The level 3, job months. It was reported that most employees who took the course are utilizing the knowledge that they acquired from the course(mean=3.80, std.=.77). To identify the level 4, business results, the mean score of the number of accidents and near misses that happened in their factories for 3 months before and after the course were compared. There was statistically significant difference between the number of accidents that happened 3 months before the course and 3 months after the course, at the significance level of .01, which was tested by Paired t-test.

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마켓 인사이트를 위한 상품 리뷰의 다차원 분석 방안 (Multi-Dimensional Analysis Method of Product Reviews for Market Insight)

  • 박정현;이서호;임규진;여운영;김종우
    • 지능정보연구
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    • 제26권2호
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    • pp.57-78
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    • 2020
  • 인터넷의 발달로, 소비자들은 이커머스에서 손쉽게 상품 정보를 확인한다. 이때 활용되는 상품 리뷰는 사용자 경험을 토대로 작성되어 구매의사결정의 효율성을 높일 뿐만 아니라 상품 개발에 도움을 주기도 한다. 하지만, 방대한 양의 상품 리뷰에서 관심있는 평가차원의 세부내용을 파악하는 데에는 많은 시간과 노력이 소비된다. 예를 들어, 노트북을 구매하려는 소비자들은 성능, 무게, 디자인과 같은 평가차원에 대해 각 차원별로 비교 상품의 평가를 확인하고자 한다. 따라서 본 논문에서는 상품 리뷰에서 다차원 상품평가 점수를 자동적으로 생성하는 방안을 제안하고자 한다. 본 연구에서 제시하는 방안은 크게 2단계로 구성된다. 사전준비 단계와 개별상품평가 단계로, 대분류 상품군 리뷰를 토대로 사전에 생성된 차원분류모델과 감성분석모델이 개별상품의 리뷰를 분석하게 된다. 차원분류모델은 워드임베딩과 연관분석을 결합함으로써 기존 연구에서 차원과 단어들의 관련성을 찾기 위한 워드임베딩 방식이 문장 내 단어의 위치만을 본다는 한계를 보완한다. 감성분석모델은 정확한 극성 판단을 위해 구(phrase) 단위로 긍부정이 태깅된 학습데이터를 구성하여 CNN 모델을 생성한다. 이를 통해, 개별상품평가 단계에서는 구 단위의 리뷰에 준비된 모델들을 적용하고 평가차원별로 종합함으로써 다차원 평가점수를 얻을 수 있다. 본 논문의 실험에서는 대분류 상품군 리뷰 약 260,000건으로 평가모델을 구성하고, S사와 L사의 노트북 리뷰 각 1,011건과 1,062건을 실험데이터로 활용한다. 차원분류모델은 구로 분해한 개별상품 리뷰를 6개 평가차원으로 분류했고, 기존 워드임베딩 방식보다 연관분석을 결합한 모델의 정확도가 13.7% 증가했음을 볼 수 있었다. 감성분석모델은 문장보다 구 단위로 학습한 모델이 평가차원을 면밀히 분석함으로써 29.4% 더 높은 정확도를 보임을 확인했다. 본 연구를 통해 판매자, 소비자 모두가 상품의 다차원적 비교가 가능하다는 점에서 구매 및 상품 개발에 효율적인 의사결정을 기대할 수 있다.

설명 가능한 인공지능과 CNN을 활용한 암호화폐 가격 등락 예측모형 (The Prediction of Cryptocurrency Prices Using eXplainable Artificial Intelligence based on Deep Learning)

  • 홍태호;원종관;김은미;김민수
    • 지능정보연구
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    • 제29권2호
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    • pp.129-148
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    • 2023
  • 블록체인 기술이 적용되어 있는 암호화폐는 높은 가격 변동성을 가지며 투자자 및 일반 대중으로부터 큰 관심을 받아왔다. 이러한 관심을 바탕으로 암호화폐를 비롯한 투자상품의 미래가치를 예측하기 위한 연구가 이루어지고 있으나 예측모형에 대한 설명력 및 해석 가능성이 낮아 실무에서 활용하기 어렵다는 비판을 받아왔다. 본 연구에서는 암호화폐 가격 예측모형의 성과를 향상시키기 위해 금융투자상품의 가치평가에 활용되는 기술적 지표들과 함께 투자자의 사회적 관심도를 반영할 수 있는 구글 키워드 검색량 데이터를 사용하고 설명 가능한 인공지능을 적용하여 모형에 대한 해석을 제공하고자 한다. 최근 금융 시계열 분야에서 예측성과의 우수성을 인정받고 있는 LSTM(Long Short Term Memory)과 CNN(Convolutional Neural Networks)을 활용하고, 'bitcoin'을 검색어로 하는 구글 검색량 데이터를 적용해 일주일 후의 가격 등락 예측모형을 구축하였다. LSTM과 CNN을 활용해 구축한 모형들이 높은 예측성능을 보였으며 구글 검색량을 반영한 모형에서 더 높은 예측성과를 확인할 수 있었다. 딥러닝 모형의 해석 가능성 및 설명력을 위해 XAI의 SHAP 기법을 적용한 결과, 구글 검색량과 함께 과매수, 과매도 정도를 파악할 수 있는 지표들이 모형의 의사결정에 가장 큰 영향들을 미치고 있음을 파악할 수 있었다. 본 연구는 암호화폐 가격 등락 예측에 있어 전통적으로 시계열 예측에 우수한 성과를 인정받고 있는 LSTM뿐만 아니라 이미지 분류에서 높은 예측성과를 보이는 딥러닝 기법인 CNN 또한 우수한 예측성능을 보일 수 있음을 확인하였으며, XAI를 통해 예측모형에 대한 해석을 제공하고, 대중의 심리를 반영하는 정보 중 하나인 구글 검색량을 활용해 예측성과를 향상시킬 수 있다는 것을 확인했다는 점에서 의의가 있다.

기술학습역량 강화를 통한 추격 및 탈추격 혁신 촉진 (Enhancing Technology Learning Capabilities for Catch-up and Post Catch-up Innovations)

  • 배종태;이종선;구본진
    • 기업가정신과 벤처연구
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    • 제19권2호
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    • pp.53-68
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    • 2016
  • 기술 학습, 기업가정신, 혁신, 창의성에 대한 동기 및 관련 활동은 아시아 국가들의 경제 발전의 원동력이었다. 기술 발전의 초기에는 기술 학습과 기업가정신이 선진국들을 효과적으로 따라잡을 수 있는 방안으로 작용하였다. 왜냐하면 이를 통하여 기업들은 상대적으로 낮은 리스크를 가지고 기술과 지식을 빠르게 축적할 수 있었기 때문이다. 그러나 기술 발전의 후기에는 혁신과 창의성이 보다 중요하게 작용하였다. 본 연구의 목적은 1) 기술 학습 성과에 영향을 미치는 요소들 (학습 역량)과 2) 창의적인 조직 및 경제 환경 구축을 위한 혁신 역량 강화에 필요한 과제들을 규명하는 것이다. 본 연구의 핵심 내용은 탈추격 시대에서의 학습 역량과 연관되어 있다. 문헌 연구 및 한국의 경제발전 사례를 바탕으로 본 연구에서는 기술 학습에 영향을 미치는 다양한 요소들로 구성된 기술 학습 모형을 제시하였다. 이와 관련하여 세 가지 가설을 설정하였고, 한국의 공작기계 제조업체들로부터 데이터를 수집하였다. 또한 해당 업체들의 CEO들과 R&D 책임자들을 대상으로 구조화된 설문을 수행하였다. 이를 바탕으로 상관 분석과 ANOVA를 수행하여 가설을 검증하였다. 추가로 사례 분석과 정책 분석을 수행하여 혁신 활성인자와 방해인자들을 규명하였고, 이를 근거로 혁신 역량 강화를 위한 방안을 제시하였다. 실증 분석 결과를 기반으로 1) 기술 축적정도 2) 기술인력들의 잠재력 3) 확고한 기술적 노력 4) 학습에 대한 의지 5) 최고 경영층의 지원 6) 공식적인 기술 학습 시스템 7) 높은 학습 동기 8) 적절한 기술 선택 9) 명백한 목표 설정과 같은 기업의 학습 잠재력과 활동(학습 역량)을 규명하였다. 이와 같은 학습 역량은 경제 발전 초기 기업의 학습 성과를 결정하였다. 또한 기술발전 단계별로 기술학습을 위해 필요한 핵심 요소들이 상이하였다. 통계 및 정책 분석을 통하여 기술학습은 기술발전 과정의 본질적인 원칙으로 이해될 수 있음을 입증하였다. 선제적이고 창의적인 학습은 후기에, 대응적이고 모방적인 학습은 초기에 활성화 되었다. 추가로 본 연구에서는 탈추격 시대에서의 혁신역량 및 혁신활동 강화의 원동력 또는 촉진 요소를 탐색하였다. 예비 사례분석 결과는 1) CEO의 전략적 의지와 기업 문화 2) 리더십과 변화 주도 챔피언의 존재 3) 디자인 원칙과 방식 4) 에코시스템과 협력체계, 5) 지속적 R&D 투자가 혁신역량 및 혁신활동 강화의 촉진 요소로 작용함을 보여주었다.

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조직의 정보 니즈와 ERP 기능과의 불일치 및 그 대응책에 대한 이해: 조직 메모리 이론을 바탕으로 (Understanding the Mismatch between ERP and Organizational Information Needs and Its Responses: A Study based on Organizational Memory Theory)

  • 정승렬;배억호
    • Asia pacific journal of information systems
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    • 제22권2호
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    • pp.21-38
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    • 2012
  • Until recently, successful implementation of ERP systems has been a popular topic among ERP researchers, who have attempted to identify its various contributing factors. None of these efforts, however, explicitly recognize the need to identify disparities that can exist between organizational information requirements and ERP systems. Since ERP systems are in fact "packages" -that is, software programs developed by independent software vendors for sale to organizations that use them-they are designed to meet the general needs of numerous organizations, rather than the unique needs of a particular organization, as is the case with custom-developed software. By adopting standard packages, organizations can substantially reduce many of the potential implementation risks commonly associated with custom-developed software. However, it is also true that the nature of the package itself could be a risk factor as the features and functions of the ERP systems may not completely comply with a particular organization's informational requirements. In this study, based on the organizational memory mismatch perspective that was derived from organizational memory theory and cognitive dissonance theory, we define the nature of disparities, which we call "mismatches," and propose that the mismatch between organizational information requirements and ERP systems is one of the primary determinants in the successful implementation of ERP systems. Furthermore, we suggest that customization efforts as a coping strategy for mismatches can play a significant role in increasing the possibilities of success. In order to examine the contention we propose in this study, we employed a survey-based field study of ERP project team members, resulting in a total of 77 responses. The results of this study show that, as anticipated from the organizational memory mismatch perspective, the mismatch between organizational information requirements and ERP systems makes a significantly negative impact on the implementation success of ERP systems. This finding confirms our hypothesis that the more mismatch there is, the more difficult successful ERP implementation is, and thus requires more attention to be drawn to mismatch as a major failure source in ERP implementation. This study also found that as a coping strategy on mismatch, the effects of customization are significant. In other words, utilizing the appropriate customization method could lead to the implementation success of ERP systems. This is somewhat interesting because it runs counter to the argument of some literature and ERP vendors that minimized customization (or even the lack thereof) is required for successful ERP implementation. In many ERP projects, there is a tendency among ERP developers to adopt default ERP functions without any customization, adhering to the slogan of "the introduction of best practices." However, this study asserts that we cannot expect successful implementation if we don't attempt to customize ERP systems when mismatches exist. For a more detailed analysis, we identified three types of mismatches-Non-ERP, Non-Procedure, and Hybrid. Among these, only Non-ERP mismatches (a situation in which ERP systems cannot support the existing information needs that are currently fulfilled) were found to have a direct influence on the implementation of ERP systems. Neither Non-Procedure nor Hybrid mismatches were found to have significant impact in the ERP context. These findings provide meaningful insights since they could serve as the basis for discussing how the ERP implementation process should be defined and what activities should be included in the implementation process. They show that ERP developers may not want to include organizational (or business processes) changes in the implementation process, suggesting that doing so could lead to failed implementation. And in fact, this suggestion eventually turned out to be true when we found that the application of process customization led to higher possibilities of failure. From these discussions, we are convinced that Non-ERP is the only type of mismatch we need to focus on during the implementation process, implying that organizational changes must be made before, rather than during, the implementation process. Finally, this study found that among the various customization approaches, bolt-on development methods in particular seemed to have significantly positive effects. Interestingly again, this finding is not in the same line of thought as that of the vendors in the ERP industry. The vendors' recommendations are to apply as many best practices as possible, thereby resulting in the minimization of customization and utilization of bolt-on development methods. They particularly advise against changing the source code and rather recommend employing, when necessary, the method of programming additional software code using the computer language of the vendor. As previously stated, however, our study found active customization, especially bolt-on development methods, to have positive effects on ERP, and found source code changes in particular to have the most significant effects. Moreover, our study found programming additional software to be ineffective, suggesting there is much difference between ERP developers and vendors in viewpoints and strategies toward ERP customization. In summary, mismatches are inherent in the ERP implementation context and play an important role in determining its success. Considering the significance of mismatches, this study proposes a new model for successful ERP implementation, developed from the organizational memory mismatch perspective, and provides many insights by empirically confirming the model's usefulness.

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사용자 제작 콘텐츠 특성이 충동구매에 미치는 영향: 유대강도의 조절효과를 중심으로 (How User-Generated Content Characteristics Influence the Impulsive Consumption: Moderating Effect of Tie Strength)

  • 라위의;이영찬
    • 지식경영연구
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    • 제23권4호
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    • pp.275-294
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    • 2022
  • 최근 몇 년 동안 전자상거래와 소셜미디어의 지속적인 통합 발전과 함께 소셜커머스는 신뢰 중심의 사회적 거래 방식으로서 전자상거래의 중요한 형태로 자리를 잡았다. 온라인 커뮤니티의 긍정적인 측면과 풍부한 사용자 제작 콘텐츠 (UGC)로 인해 커뮤니티에 참여하는 사용자와 기업이 점점 더 증가하고 있는 추세이다. 이러한 상황에서 정보접근 비용은 지속적으로 감소하고 있고 구매 프로세스는 보다 간결하고 효율적으로 개선되고 있는 반면에 소비자의 충동구매 가능성을 크게 높이는 결과를 가져오게 된다. 그럼에도 불구하고 아직까지 소셜커머스에서 UGC의 특성을 기반으로 한 소비자 충동구매의 메커니즘에 대한 실증적 연구는 거의 없다. 본 연구는 자극-유기체-반응 (S-O-R) 모델을 이용하여 소셜커머스에서 UGC 특성이 소비자 충동구매에 미치는 영향을 분석하는 연구모형을 구축하였고, 이 과정에서 지각된 위험을 매개변수로, 유대강도를 조절변수로 각각 설정하였다. 실증분석 결과 콘텐츠 진정성, 콘텐츠 유용성, 그리고 콘텐츠 가치는 구매의사결정 과정에서 소비자의 지각된 위험에 유의한 영향을 미치고, 소비자의 지각된 위험은 충동구매에 유의한 영향을 미치는 것으로 나타났다. 한편, UGC 생산자와 이용자 간의 유대강도는 콘텐츠 유용성과 지각된 위험의 관계 및 지각된 위험과 충동구매 관계를 조절하는 것으로 나타났다. 이러한 연구결과는 소셜커머스 사업자들로 하여금 고객의 소비행동에 대한 심층적인 이해를 도울 뿐만 아니라 소비자 충동구매가 왜 일어나는지에 대한 메커니즘을 학술적 관점에서 분석할 수 있는 이론적 틀을 제공하였다는 점에서 의의가 있다.

텍스트 마이닝을 활용한 지역 특성 기반 도시재생 유형 추천 시스템 제안 (Suggestion of Urban Regeneration Type Recommendation System Based on Local Characteristics Using Text Mining)

  • 김익준;이준호;김효민;강주영
    • 지능정보연구
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    • 제26권3호
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    • pp.149-169
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    • 2020
  • 현 정부의 주요 국책사업 중 하나인 도시재생 뉴딜사업은 매년 100 곳씩, 5년간 500곳을대상으로 50조를 투자하여 낙후된 지역을 개발하는 것으로 언론과 지자체의 높은 이목이 집중되고 있다. 그러나, 현재 이 사업모델은 면적 규모에 따라 "우리동네 살리기, 주거정비지원형, 일반근린형, 중심시가지형, 경제기반형" 등 다섯 가지로 나뉘어 추진되어 그 지역 본래의 특성을 반영하지 못하고 있다. 국내 도시재생 성공 키워드는 "주민 참여", "지역특화" "부처협업", "민관협력"이다. 성공 키워드에 따르면 지자체에서 정부에게 도시재생 사업을 제안할 때 지역주민, 민간기업의 도움과 함께 도시의 특성을 정확히 이해하고 도시의 특성에 어울리는 방향으로 사업을 추진하는 것이 가장 중요하다는 것을 알 수 있다. 또한 도시재생 사업 후 발생하는 부작용 중 하나인 젠트리피케이션 문제를 고려하면 그 지역 특성에 맞는 도시재생 유형을 선정하여 추진하는 것이 중요하다. 이에 본 연구는 '도시재생 뉴딜 사업' 방법론의 한계점을 보완하기 위해, 기존 서울시가 지역 특성에 기반하여 추진하고 있는 "2025 서울시 도시재생 전략계획"의 도시재생 유형을 참고하여 도시재생 사업지에 맞는 도시재생 유형을 추천하는 시스템을 머신러닝 알고리즘을 활용하여 제안하고자 한다. 서울시 도시재생 유형은 "저이용저개발, 쇠퇴낙후, 노후주거, 역사문화자원 특화" 네 가지로 분류된다 (Shon and Park, 2017). 지역 특성을 파악하기 위해 총 4가지 도시재생 유형에 대해 사업이 진행된 22개의 지역에 대한 뉴스 미디어 10만여건의 텍스트 데이터를 수집하였다. 수집된 텍스트를 이용하여 도시재생 유형에 따른 지역별 주요 키워드를 도출하고 토픽모델링을 수행하여 유형별 차이가 있는 지 탐색해 보았다. 다음 단계로 주어진 텍스트를 기반으로 도시재생 유형을 추천하는 추천시스템 구축을 위해 텍스트 데이터를 벡터로 변환하여 머신러닝 분류모델을 개발하였고, 이를 검증한 결과 97% 정확도를 보였다. 따라서 본 연구에서 제안하는 추천 시스템은 도시재생 사업을 진행하는 과정에서 신규 사업지의 지역 특성에 기반한 도시재생 유형을 추천할 수 있을 것으로 기대된다.

한.미간 e-finance 금융포털사이트의 활용실태 비교 (Comparison of the Practical Use Condition of e-finance Portal Site between Korea and U.S.A.)

  • 김동균;차순권
    • 경영과정보연구
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    • 제7권
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    • pp.21-51
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    • 2001
  • For increasing the competitiveness and efficiency of Korea's finance industry under the new e-finance paradigm, this paper compared the practical use of finance portal site' on service parts and stage between Korea and U.S.A.. The services which can be served from site are banking, mortgage and credit loan, stock, card, retirement tax, PFM(Personal Finance Management), EBPP(Electronic Bill Presentment and Payment) and Account Aggregation and so on. The stage of site can be divided as the information provide stage which only gives information about service parts, on-line transaction stage which real-time transaction is possibile and PFM services provide stage according to development process. As a result, the beginning of finance portal service in Korea was lated about 10years and more than it of U.S.A. So the development stage of domestic portal site is still staying in the first step and the providing services and contents or business model development parts are also in the same stage than U.S.A. Resides, Korea's sites mainly focus on their first service parts even though they recently aim internet finance portal, and provide not real time transaction but finance information. On the other hand, the U.S.A. site support substantially not only various on-line transactions but also distinctive personal services like PFM(Personal Finance Management), EBPP(Electronic Bill Presentment and Payment), Account Aggregation and Trans-account, brokerage, education center, mortgage loan, mutual fund, option, pension fund and IPOs and so on. Thus, the site of Korea need to establish real type of internet finance portal which provides one-stop services on every type of finance to customers in the real time and also require the strategic integration among finance institutions. The next turn, they need to build information system and education center to give best satisfaction to customers and acquire customer information and marker environment changes and need to provide distinctive services to quality customers throughout database from this. Also the site should provide various type of banking services which refereed above like PEM, EBPP and education center etc, and the government of Korea should support the building of IT infrastructure to Physical, legal, systematic, sociocultural, technical and human resource sections. This paper provided the future movement direction of the domestic finance portal through comparison and analysis on the practical use of it between Korea and U.S.A. and also wanted to contribute for developing and reading of Korea finance portal in the new era of the finance paradigm.

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