• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.203-223
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• 2012

This study aimed to identify the factors of failure in cases where there was feasibility but was not successful in commercializing technology. For the study, 92 feasibility reports for new technologies were collected, and among these 4 studies that showed definite failure in commercialization of technology were analyzed in depth. Further analysis was based the factors pointed out by previous frameworks such as 1) discussion on success or failure in commercialization of technology, 2) that of venture company, and 3) valuation of technology studies. Previous studies pointed out success and failure factors as lack of funding, uncontrollable accidents, managing ability, inability for mass production and so forth, which had little difference to the pre-feasible evaluation of four cases. However, real reason was the lack of understanding technologies such as composition of technologies, production technologies required by stages, and lack of understanding of floor technologies. The misunderstandings were occurred regardless of CEO's experience and expertise. We did not touch the evaluation model of pre-feasibility studies, although we dealt with the failure of the pre-studies. The reason we do not generalize the results of this study is the fact that we dealt with only small cases.

• International Commerce and Information Review
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• v.18 no.3
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• pp.275-306
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• 2016

This paper investigates the success and failure factors of technology commercialization for SMEs developing public sector technologies. The 2014 Korea Technology Transfer Commercialization Status Report states that only 30% of the technologies that are transferred are being used and the rest are neglected. The objective of this paper is to determine the relationship between quantitative variables and the success rate of technology commercialization of 1,222 SMEs in Korea by using three analyzes (cross tabulation, process and logistic) methodologies to increase the success of public technology commercialization. The outcome shows that the number of successful technology deployment cases and the number of IPR registration cases have a positive impact on the success rate of public technology commercialization. The statistical outcome also verifies that unnecessary technology development, more attempts and failures of technology development, and longer lead time in the planning phase have a negative impact on the success rate of the public technology development and commercialization. For policy implications, the government should be selective in supporting public technology commercialization and development for SMEs as not all technology attempts exert positive effects.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2013.05a
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• pp.258-268
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• 2013

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.263-287
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• 2017

본 연구는 연구개발의 기술적 성과에 비하여 상대적으로 저조한 경제적 성과를 제고하기 위해 중소기업의 기술사업화를 촉진하는 한국형 기술사업화 모델 및 이를 위한 과학적 연구방법론 제시를 목적으로 하고 있다. 먼저 기술사업화의 성공실패에 관련된 연구 중 하나인 신제품개발에서 경제적 성과에 긍정적인 영향을 미치는 요인들을 선행연구를 통해 확인하고 우리나라 중소기업의 기술사업화 추진실태와 과제를 진단한다. 다음으로 세계 R&D 동향과 국내 대기업에서 추진하고 있는 6시그마 연구혁신 모델 및 기술사업화의 경제적 성과를 제고하기 위한 과학적 연구방법론 벤치마킹 분석 등의 결과를 토대로 우리나라 중소기업들이 수행하는 연구개발의 기술적 성과는 물론 경제적 성과도 제고할 수 있는 시장중심 R&D를 위한 한국형 기술사업화 모델과 이를 위한 5가지 과학적 연구 방법론을 제시한다. 1990년대 후반부터 등장하기 시작한 새로운 R&D동향은 사업부나 고객뿐만 아니라 공급자 등 외부 파트너들과의 상호 긴밀한 협력 하에 이들의 명시적인 니즈는 물론 암묵지 형태의 니즈까지도 파악하여 이를 R&D 활동에 반영하기 시작하였다. 특히 기업은 1980년대 정보화 진전, 변화의 가속화에 따라 연구과제의 성공이 바로 기업발전으로 연결되지 않는다는 것을 자각하기 시작했다. 단순히 R&D 활동만을 중시하는 것이 아니라 기술을 어떻게 마케팅과 연계시킬 것인가가 더욱 중요하게 되었다. 신기술을 신시장에 연결시키는 것이 용이하지 않지만, 성공 시에는 높은 가치창출을 기대할 수 있으므로 기업들은 R&D활동 보다 높은 가치를 창출하려는 활동에 관심을 가져야만 한다. 이와 같은 글로벌 환경 변화에 능동적으로 대처하고 제4차 산업혁명시대 중소기업의 연구개발 투자가 경제적 성과로 촉진될 수 있도록 본 연구에서 제시된 시장중심 R&D를 위한 한국형 기술사업화 모델과 5가지 과학적 연구방법론이 크게 기여하기를 기대해 본다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.64-69
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• 2022

Commercialization of public technology is the transfer of government-led scientific and technological innovation and R&D results to the private sector, and is recognized as a key achievement driving economic growth. Therefore, in order to activate technology transfer, various machine learning methods are being studied to identify success factors or to match public technology with high commercialization potential and demanding companies. However, public technology commercialization data is in the form of a table and has a problem that machine learning performance is not high because it is in an imbalanced state with a large difference in success-failure ratio. In this paper, we present a method of utilizing CTGAN to resolve imbalances in public technology data in tabular form. In addition, to verify the effectiveness of the proposed method, a comparative experiment with SMOTE, a statistical approach, was performed using actual public technology commercialization data. In many experimental cases, it was confirmed that CTGAN reliably predicts public technology commercialization success cases.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.2 no.2
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• pp.49-68
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• 2007

This paper develop self pre-checkup lists for the validity of business model as web business starters can utilize to open business. In particular, self pre-checkup lists invented by Dr. Bruce Merrifield, is reapplied and modified in appropriate to internet shopping mall business. This paper complete many literature reviews to identify appropriate factors of evaluation such as about the characters of internet business, business validity testing theory for internet business model, pros and cons of e-business and startup ventures, factor analysis of technology valuation, and pros and cons for internet shopping mall. This paper define six different factors; scale of sales, the growth rate of market, competitiveness, risk portfolio, industry upside down, and social conditions, as the factors of evaluating the business attractiveness. Meanwhile, it define characters of CEO, content's power, mutual inclusion, commerce, fulfillment, marketing power as the factors of business appropriateness. This paper also conducts several case studies; company I, D, G of applying the former model. This paper sort out internet business model in imaginations by utilizing self pre-checkup lists of business evaluation. Also, the outcomes of evaluation is expected to provide meaningful future business implications.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.153-163
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• 2016

Intellectual output, such as research papers and patents, has increased due to the consistent investment of the government R&D budget, however, the economical outcome leaves much to be desired. These unsatisfactory results originate from the lack of information sharing about the technology's business compatibility and enterprise's business capability between technology supplier and technology user. This study aims at investigating the decision making process of technology commercialization by proposing an assessment model of the technology's business compatibility and enterprise's business capability. The assessment model was completed by selecting the key index through a literature survey, field survey and consultation with experts. The technology assessment model can be effectively utilized for technology licensing, technology start-up and technology selection in R&BD projects. However, the assessment indexes required for the basic science are not investigated in this study and some assessment indexes are differently interpreted by the individual appraisers. The assessment model will be improved through field application and additional studies will be conducted to develop the assessment model of basic science.

• Korean Journal of Construction Engineering and Management
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• v.17 no.4
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• pp.76-86
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• 2016

Recently, the Contracts of International Construction Business has been decreased from the beginning of 2015 in Korea, although it has been steadily increased until 2014. This trend could be caused by Low-Price Contracts, the lack of Know-how and experience in operating, the poor management of Claims and Low-Profitability in Business. It has been recognized that the qualitative improvement of Business Contacts are necessary for successful Projects. In the Bidding Process, therefore, Experience data as In-House Data and Lessons Learned for projects should be strategically involved to assure riskless offers. Accordingly the Proposal Process are needed to be organized and enhanced by including processes for risks review about technical, marketing and commercial part during the bidding. This paper proposes a Risk Management Process model during Bidding Phase, using Risk Evaluation Method through the project life-cycle. The Concept of Model is to define CSF (Critical Success Factor) in the bidding process and Risk Factors are linked to CSF and Organization based on RAM (Responsibility assignment matrix).

• 한국벤처창업학회:학술대회논문집
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• 2019.04a
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• pp.167-170
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• 2019

최근에는 거의 모든 분야에서 ICT와 같은 기술기반 산업과의 융합을 통한 창업현상이 두드러지고 있어, 이들을 대상으로 한 연구는 개인 수준뿐만 아니라 팀 수준의 특성을 함께 살펴보는 것이 더 현실적인 상황을 반영하고 실무적인 시사점을 제공해 줄 것으로 판단된다. 팀창업일 경우 기업의 성과는 개인-팀 역량의 혼합 결과로 볼 수 있기 때문이다. 기존 선행연구에서는 창업기업의 성공과 실패를 가름하는 다양한 요인들을 제시해왔으나, 이러한 요인은 창업자의 개인적 특성, 보유하고 있는 자원 등에서 찾는 선행연구가 대부분이다. 관련 연구들을 종합하면 창업기업의 성장은 창업가 특성, 자원, 전략, 산업, 그리고 조직 구조 및 시스템의 함수로 정리된다. 그러나 창업팀에 대한 연구는 제한적이다. 이에 본 연구는 초기 창업기업의 성과에 영향을 미치는 핵심 요인으로 창업가의 특성인 창업역량(entrepreneurial competency)에 초점을 두고, 창업팀의 역량에 따라 어떠한 영향을 미치는 살펴본다. 개인의 특성에 집중해온 기존 연구에서 더 나아가 창업역량의 영향력을 창업가 개인 수준 및 팀 수준으로 구분하여 함께 살펴보고자 한다. 본 연구 결과를 통해 예비 창업가 및 초기 창업기업이 안정적인 사업화를 위해 팀구성을 어떻게 해야하는지 가이드라인을 제시할 수 있을 것으로 기대된다. 또한, 정부 지자체 민간 등에서 창업지원사업 운영 시 팀구성이 잘 된 창업기업을 선발하는 기준을 수립하기 위한 참고자료로 활용될 수 있을 것으로 기대된다.

• Information Systems Review
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• v.14 no.2
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• pp.65-92
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• 2012

Smart work, which is defined as work performed at home, satellite offices or with the smart devices to continually collaborate with the co-workers in anytime, anywhere using IT, is attracting much attention as an alternative work way to cope with the demographical changes of the low fertility and aging. Whereas some implementation cases of smart work have been considered as the success, the other cases have been reported as the failure to implement smart work practices. Nevertheless, there are few researches to identify the reasons of successful ways to adopting smart work. This study integrated the IT-based changes with the smart work practices to identify the critical success factors of smart work in individual, organization and industry levels. As the results, we found out the expected values of introduction, core elements of implementation, and industry characteristics to efficient adoption for smart work. Also, this study compared these evidences with the incumbent smart work policies. The contributions of this study is to develop the guideline to adopting smart work, the smart work implementation strategy and the improvement on the business process.