• Journal of Technology Innovation
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• v.12 no.3
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• pp.259-276
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• 2004

This paper identifies success factors influencing technology commercialization, develops a framework for technology commercialization model among factors, commercialization, empirically investigates the framework, and suggests policy alternatives for more effective technology commercialization in the areas of information and communication technology industries in Korea. To facilitate commercialization of government-sponsored R&D projects, the following policy implications are suggested; manager's willingness and support on commercialization, and more abundant commercialization fund, former experience on commercialization, strong linkage with present business and technology, more information about government commercialization programs and technologies, and improved environment of commercialization including market protection and penetration support.

• Journal of Service Research and Studies
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• v.7 no.2
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• pp.91-105
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• 2017

The purposes of this paper is to identify CSFs for technology commercialization in IT industry, and to empirically investigate the impact of CSFs on the success of technology commercialization. Comprehensive literature study identifies eleven factors affecting the process and results of technology transfer and the research results show that 'Incentives for Commercialization,' 'Leadership Support,' 'Government Support,' 'Cooperation among Parties,' and 'Understanding of Business' are the most influential factors. Regression analyses show that CSFs in total have very significant explanatory power in the success of technology commercialization. 'Incentives for Commercialization,' 'Cooperation among Parties, 'Demand-Pull Technology', and 'Commercialization Experience' are statistically significant in explaining the success of commercialization. Successful commercialization projects show higher explanatory power (46.80%) than failure projects (38.50%).

• Asian Journal of Innovation and Policy
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• v.6 no.1
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• pp.23-44
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• 2017

This study explores how the technology commercialization process leads to either success or failure after transfer from PROs to SMEs by conducting a binomial logistic regression analysis. We found that the more additional development a firm implements on the transferred technology, the more likely the commercialization is to fail. The higher number of alternative technology and bigger market risk are associated with a greater likelihood of failure. On the other hand, the existence of complementary technology, the degree of cooperation with the technology provider, the size of the target market, the willingness of the CEO, and the funding availability are known to have positive effects on the success of technology commercialization. In addition, the case studies we conducted from the sample companies demonstrated that "market uncertainty," "technological issues depending on the technology-specific characteristics," and "a lack of funding capability" are some of the causes for failure of technology commercialization.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.41-58
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• 2023

This study identifies the commercialization success factors that can be an important indicator for the transfer and commercialization of national R&D results in the agricultural sector. Unlike other industries, the agricultural sector has a non-systematically scaled and processed industrial structure, and R&D is led by government rather than the private sector. Although the quantitative performance of national agricultural R&D, especially the number of patents and publications, has increased rapidly with the quantitative expansion of the government R&D budget, the technology commercialization of the results of agricultural R&D has been accompanied by difficulties for SMEs. Therefore, this study summarized the success factors for commercialization of state-owned technologies presented in previous studies, and based on them, analysed the success factors for commercialization specific to the agricultural sector. It also conducted a questionnaire survey using Delphi and focus group interviews (FGI) with experts from academia, research and industry, and a survey of agricultural companies to derive success factors for commercialization in the agricultural sector using logistic regression analysis. As a result, five indicators with positive correlation and three indicators with negative correlation within technology characteristics, suppliers, adopters, policy and market factors were finally derived as key factors for agricultural commercialization. In the future, it is expected that independent factor analysis of the food and seed sectors, which have independent industry characteristics from the agricultural sector, will be needed.

• Journal of Technology Innovation
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• v.25 no.2
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• pp.35-55
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• 2017

The objective of the study is to examine the impact of researcher's commercialization support on the success of commercialization after technology transfer of public research institutes. Logistic regression analysis was used to analyze the effect of researcher's commercialization support on commercialization success with 204 license agreements from ETRI. As a result, it has been empirically verified that there is a significant impact to the success of the commercialization of transferred technology when the researcher is participating in the commercialization process and transfers the latent knowledge gained in the invention process to the licensed company. The result is suggestive of the effective directions of government's and public research institutes' policy for SME support.

• Asian Journal of Innovation and Policy
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• v.3 no.1
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• pp.25-49
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• 2014

We wanted to show the different group dynamics of factors for success and failure cases for technology commercialization in small technology-based firms. Existing studies are based on product level, project level, division level or firm level. We deal with technology level, and at small-technology-based firms. This is a longitudinal case study based on 8 cases from Korea. Our study on technology level is a first trial in success and failure studies unlike all existing studies. As a first step, we introduced new categories and factors such as technology attributes and CEO reflecting data, and especially a new concept of launch readiness level. Finally, we adopted correspondence analysis to show the group dynamics. The results are as follows; Technology factors are the most important factors. Second, resource-based factors are more critical in failure cases than success cases and technology factors are more critical to success.

• Knowledge Management Research
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• v.14 no.5
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• pp.15-34
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• 2013

In a turbulent environment, it is important for a firm to obtain competitiveness through acquiring new technologies and new knowledge. Many studies has shown that R&D has positive effects on innovation and performance. However, the limitation of resources and research personnel for SMEs leads to the needs of collaboration between government R&D and SMEs. The quantitative results of government R&D comes in the form of patents or publication of papers while the qualitative results comes in the form of commercialization (revenue increase or cost reduction) of the SMEs acquiring the technology through technology transfer. Korean government invested 16.9 Trillion Won in 2013 and achieved remarkable quantitative results but the qualitative results are still yet to be improved. The technology transfer rate in 2011 was 26.0% while the success rate of commercialization of the transferred technology is only 23.6%. Therefore it is meaningful to study the success factors of the technology commercialization in Korea. In this study, a case of technology commercialization between ETRI and Initech is studied. Initech was a venture firm which started in 1997 with 2 employees and after transfer of technology from ETRI in 1999, it has grown to a firm of 238 employees. In this study, Jolly's commercialization model was used to analyze the success factors of the commercialization. It was shown that four main factors that leads to the success are (1) mobilizing interest and endorsement through customer oriented R&D by ETRI, (2) mobilizing resources for demonstration through systematic technology commercialization process by ETRI, (3) mobilizing market constitutents through government standardization that leads to the reliability of the participants, and (4) mobilizing complementary assets for delivery by management strategies of Initech.

• 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.

• The Journal of Industrial Distribution & Business
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• v.9 no.11
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• pp.39-54
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• 2018

Purpose - To success, in spite of deficient resources, a start-up company has to check various circumstances. Many researchers proposed different appraisal methods for technology commercialization. But everybody agrees Merrifield is the first one, who is a pioneer of an appraisal model of technology commercialization. After he proposed it, many researchers and field workers developed a more complicated model, which called a BMO model. In this research, considering the circumstances of start-ups that lack available resources, it proposes a new appraisal method for technology commercialization, which is named a weighted-BMO model. Research design, data, and methology - For the new BMO-model, it studied the preceding studies. And it found that the success factors for start-ups were correlated with technology commercialization. After comparing the success factors for technology commercialization of start-ups with BMO appraisal factor, it withdraws the net BMO appraisal model: which we are calling the weighted-BMO model. Results - This study found a few things. First, actually, the BMO appraisal factors related with the success factors of technology commercialization. Second, the weighted-BMO model, which included the entrepreneur ability factor, was more accurately estimated the success of technology-based start-ups than the BMO model. Third, it overcame the weakness of the BMO-model, which did not include quantitative factors. In addition to evaluating the feasibility of the BMO model, we also presented a strategy for the future direction. But, still, it included a few shortcomings, which we are calling the arbitrage of weighted value. Sometimes, the intentional weighted value can deliberate the different valuation. Conclusitons - Due to this study, the weighted-BMO model included appraisal factors related with the success factors of technology commercialization and the entrepreneur ability factor, and quantitative factors. When evaluating the combined score of the existing Merrified BMO components, 35 points of the first pass criterion accounted for 29.17% of the total score, and 80 points of the merit score of the second rank criterion were 66.67% Considering that the weighted sum is taken into account, the baseline score of the weighted summing method for each component of the modified BMO model is 2.92 points, which is 29.17% of the weighted sum total of 10 points. The evaluation score was 6.67 points, 66.67% of the weighted total score of 10 points.

• Ocean and Polar Research
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• v.34 no.3
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• pp.349-364
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• 2012

This study focuses on systematic structure of factors, which affect commercialization of ocean science and technology (OST), applying both grounded theory methodology (GTM) and semantic network analysis methodology (SNAM) by using in-depth interviews with 8 specialists previously experienced in the same field. This study further focuses on clarification of the distinctiveness and universality of commercialization factors on OST by comparatively analyzing on the commercialization factors of general sciences and technologies. Using SNAM, it was determined that commercialization success required connected support system, government support, technology marketing, technology power and characteristics of commercialized entities, which were identified as dominant factors. GTM presented an outcome that connected support systems among participants in commercialization and found that research institute strategies are significant factors in the core phenomenon of commercialization, while technology marketing, technology power and market-oriented technology are important conditions. In addition, the factors of technology, market, connection of participants and government support of commercialized entities are shown as equally important factors for commercialization of ocean science and technology. Secondly, SNAM results indicate that ocean science characteristics depend on a network of government support, research institute strategy, organization and manpower, capital power, and technology marketing, as these ocean science characteristics have been identified as significant factors in the GTM study. It has been determined that technology, market and government support should be connected in order for commercialization of ocean science and technology (OST). Moreover, commercialization methods, applied to the marketing of commercialization of ocean science and technology is differentiated from others since commercialization success is more relevant to these factors.