• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.321-324
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• 2000

최근 국내 경제의 구조적 전환에 대한 필요성이 증대됨에 따라 기술집약적인 산업에 관심이 모아지고 있으며 이러한 관심은 주로 기술개발과 혁신을 통해 고수익을 달성하려는 벤처기업에 집중되어져 왔다. 특히 인터넷 비즈니스분야의 벤처인 경우 기존 산업이 지니고 있던 산업구조, 기업유형 및 수익원천과는 구별되는 특징을 지니고 있기에 기업의 성장성과 수익성을 예측하고 미래가치를 판단하는데 있어 새로운 투자평가 패러다임이 요구된다. 국내의 경우 최근 들어 벤처성과와 관련된 연구들이 진행되고는 있으나 주로 사례연구 방식으로 벤처기업을 대상으로 한 주요성공요인, 성과 영향요인, 자금조달 및 육성지원정책 등 탐색적 연구에서 벗어나지 못하고 있으며 실제 벤처투자자의 입장에서의 연구는 이루어지지 못하고 있다. 따라서 본 연구는 벤처투자가를 대상으로 투자고려요인과 성과요인을 추출하고 두 요인간의 관련성을 파악함으로써 투자성과에 영향을 미치는 요인을 제시하고 이를 투자자유형, 성장단계, 투자시기, 사업유형, 벤처전략별로 분석하는 것을 목표로 하고 있다. 이를 통해 인터넷 비즈니스분야의 벤처기업에게는 각 기업별 특성에 따른 관리 요인과 벤처투자가에게는 투자의사 결정시 도움을 줄 수 있는 투자지침을 제시한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.258-264
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• 2015

This research suggests critical factors affecting success and failure of several commercial mobile operating systems from Palm OS appearing in to main mobile OSs appearing in 2013. For this, we analyses several mobile operating cases, elicit factors affecting success and failure of mobile OS, and conduct ID3 based inductive learning analyses based on elicited factors and values in case dataset. Through this, we draw rules in success and failure of mobile OS and suggest strategic implications for the commercial success of mobile OS in perspective of innovation and globalization.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.327-351
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• 2023

This paper aims to derive success factors that successfully lead an artificial intelligence (AI) project and prioritize importance. To this end, we first reviewed prior related studies to select success factors and finally derived 17 factors through expert interviews. Then, we developed a hierarchical model based on the TOE framework. With a hierarchical model, a survey was conducted on experts from AI-using companies and experts from supplier companies that support AI advice and technologies, platforms, and applications and analyzed using AHP methods. As a result of the analysis, organizational and technical factors are more important than environmental factors, but organizational factors are a little more critical. Among the organizational factors, strategic/clear business needs, AI implementation/utilization capabilities, and collaboration/communication between departments were the most important. Among the technical factors, sufficient amount and quality of data for AI learning were derived as the most important factors, followed by IT infrastructure/compatibility. Regarding environmental factors, customer preparation and support for the direct use of AI were essential. Looking at the importance of each 17 individual factors, data availability and quality (0.2245) were the most important, followed by strategy/clear business needs (0.1076) and customer readiness/support (0.0763). These results can guide successful implementation and development for companies considering or implementing AI adoption, service providers supporting AI adoption, and government policymakers seeking to foster the AI industry. In addition, they are expected to contribute to researchers who aim to study AI success models.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.586-592
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• 2006

Mobile Services are that function of information system are served in mobile environment. So, Success model for the mobile services might be derived through mixing success model of information system with mobile attributes. There are many kinds of mobile services. Specially, commerce, communication entertainment and information services are representative types in mobile services. In this paper, we do not only derive important factors that influence success of mobile services, but also analyze how the factors influence the success of mobile services. We also analyze whether measures of the factors might differ significantly among the types of mobile services.

• Korean Journal of Culture and Social Issue
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• v.13 no.3
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• pp.65-87
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• 2007

The objective of the study was to cast a frame for the integrating concept of successful aging together with for understanding both elderly problems and aging, which was one of the major issues in aging society. For this, the author reviewed the meaning of aging and also made a general survey of both affirmative change such as growth and development and negative change with regard to aging. Particularly, it was observed that wisdom is a key factor for successful aging. The existing theory of successful aging and major study results were reviewed. As a result, the author proposed an integrated conceptualization of successful aging under the general discussion of the limits of existing theory and also explained the characteristics and implications of an integrated conceptualization of successful aging in line with the discussion on the definition of the integrated concept of successful aging.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.367-373
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• 2007

최근 소프트웨어 유통방식은 웹(Web) 2.0 시대의 도래와 더불어 SOA(Service Oriented Architecture) 웹 서비스(Web Service), 온 디멘드(On Demand), 컴퍼넌트(Component) 등의 개념 및 기술의 발전으로 ASP(Application Service Provider) 방식에서 SaaS(Soft as a Service) 방식으로 빠르게 진화하고 있다. 새롭게 등장하고 있는 SaaS 비즈니스 모델의 시장 경쟁력 결정 요인 분석은 SaaS 비즈니스 모델 중에서도 국내 가장 대표적인 그룹웨어, CRM, ERP 를 중심으로 전략경영이론을 도입하여 기업의 내부 및 외부 경쟁력 결정요인을 마이클포터, 동인분석, 주요 성공요인 분석, SWOT 를 중심으로 접근하고자 한다. 설문조사를 통한 주요 SaaS 비즈니스 모델별 시장 경쟁력 결정 요인에 대한 시론적인 분석 결과는 SaaS 시장 진출 신규 기업 및 정부의 SaaS 시장 육성 방향 설정 그리고 후속적인 연구의 방향을 결정하는데 중요한 벤치마킹 자료로 활용될 수 있을 것으로 기대된다.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.4
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• pp.10-24
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• 2006

Performing a survey on the employers of S company that have built an EIP and used it effectively, we examined the priority of success factors that are considered as important ones by managers, general users, and system administrators. Then, we examined whether the priorities are different among the users of EIP according to the job, position, and period of use. Further, we looked into how the past and present EIP system of S company implemented the factors that took the first and the second places in priority for each of the four categories; the category of factors considered at the in of determining whether to build the system, the category of system functions provided in general, the category of functions provided with high priority when the system is used after the building, md the category of factors that make effective use of the system once it is built.

• Korean Journal of Construction Engineering and Management
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• v.8 no.5
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• pp.182-190
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• 2007

The minor construction companies in Korea have grown in focusing on the construction operation field. Also, soft field is vulnerable area, and there are not enough delivery systems, therefore, a capacity of the construction industry expansion and productivity is insufficient. Furthermore, the minor construction companies are losing their areas, because the major construction companies having numerous know-how and ample funds are competitive. As the construction industry are more larger and complicated, the design build methods might be increased in the construction industry and the minor construction companies could have more competitive. Hence, this paper analyzes the success factor in minor construction projects by design build methods focusing on instance $company^{\circ}{\phi}s$ case and survey, and critical success factor deduction and importance degree analysis of this factor using AHP analysis. In addition, this paper gives fundamental data how to manage the construction project effectively for minor construction $companies^{\circ}{\phi}s$ expansion in near future.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.4
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• pp.132-138
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• 2008

Small and medium-sized manufacturing companies have introduced production information systems such as pop and MES to improve their productivity. However, there has been little research on this field This study provides answers for 3 following critical questions for successful implementation of production information systems based on the literature review and case studies. First, do investments on this system bring the positive performance? Second, what are the critical success factors that should be managed? Third, how long does it take to obtain its performance? This paper suggests some implications for the practitioners.

• Information Systems Review
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• v.8 no.1
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• pp.141-158
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• 2006

Recently, developing U-City as an integrated set of ubiquitous space services has been regarded as a promising field in realizing ubiquitous computing technology. However, well organized requirement analyses of U-City to declare what kinds of ubiquitous space services are needed and which ubiquitous computing technology should be incorporated to come up with the needs are still insufficient. Hence, the aims of this paper are to propose a set of unique U-City construction philosophies and to analyze which services should be offered in the ubiquitous space services in U-Cities. A field survey to the citizens who are potential end users of the ubiquitous space services was conducted to analyze the success factors of U-City using CSF methodology. Focused group interview with professionals in the field of ubiquitous computing technology in Korea was then performed to identify the relationship of the ubiquitous space services and the critical success factors.