• The Journal of Society for e-Business Studies
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• v.15 no.1
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• pp.61-87
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• 2010

This study is based on the analysis of technology innovation performance for Inno-biz. The primary purposes of this study are to help the government formulate Inno-biz related supporting policies and improve the fitness of evaluation models for Inno-biz. In this study the definition of "the outcome of technology innovation" includes technology competitiveness changes, technology forecasting as well as the outcome of technology innovation. For this analysis, 55 independent variables were used and categorized into ability of technology innovation, ability of commercialization, and ability of technology management. The results indicate that all three variable groups have positively influenced the outcome of technology innovation. Especially ability of technology innovation is highly related to technology competitiveness and business in future. The ability of commercialization enhances technology competitiveness and predictability in major business indexes; however it doesn't influence business performance in a short-term period. The ability of technology management enables businesses to forecast technology changes, but doesn't effect short-term business outcomes.

• Journal of Korea Technology Innovation Society
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• v.17 no.2
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• pp.380-420
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• 2014

We increasingly see the importance of employees acquiring enough expert capability or innovation capability to prepare for ever growing uncertainties in their operation domains. However, despite the above circumstances, there have not been an enough number of researches on how operational input components for employees' innovation outcome, innovation activities such as acquisition, exercise and promotion effort of employee's innovation capability, and their resulting innovation outcome interact with each other. This trend is believed to have been resulted because most of the current researches on innovation focus on the units of country, industry and corporate entity levels but not on an individual corporation's innovation input components, innovation outcome and innovation activities themselves. Therefore, this study intends to avoid the currently prevalent study frames and views on innovation and focus more on the strategic policies required for the enhancement of an organization's innovation capabilities by quantitatively analyzing employees' innovation outcomes and their most suggested relevant innovation activities. The research model that this study deploys offers both linear and structural model on the trio of learning, innovation capability and innovation outcome, and then suggests the 4 relevant hypotheses which are quantitatively tested and analyzed as follows: Hypothesis 1] The different levels of innovation capability produce different innovation outcomes (accepted, p-value = 0.000<0.05). Hypothesis 2] The different amounts of learning time produce different innovation capabilities (rejected, p-value = 0.199, 0.220>0.05). Hypothesis 3] The different amounts of learning time produce different innovation outcomes. (accepted, p-value = 0.000<0.05). Hypothesis 4] the innovation capability acts as a significant parameter in the relationship of the amount of learning time and innovation outcome (structural modeling test). This structural model after the t-tests on Hypotheses 1 through 4 proves that irregular on-the-job training and e-learning directly affects the learning time factor while job experience level, employment period and capability level measurement also directly impacts on the innovation capability factor. Also this hypothesis gets further supported by the fact that the patent time absolutely and directly affects the innovation capability factor rather than the learning time factor. Through the 4 hypotheses, this study proposes as measures to maximize an organization's innovation outcome. firstly, frequent irregular on-the-job training that is based on an e-learning system, secondly, efficient innovation management of employment period, job skill levels, etc through active sponsorship and energization community of practice (CoP) as a form of irregular learning, and thirdly a model of Yί=f(e, i, s, t, w)+${\varepsilon}$ as an innovation outcome function that is soundly based on a smart system of capability level measurement. The innovation outcome function is what this study considers the most appropriate and important reference model.

• STI Policy Review
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• v.1 no.3
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• pp.53-68
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• 2010

This paper empirically evaluates the effects of regional and industrial R&D on the performances of individual firms in two separated stages: (1) the stage of technological outcome from R&D and (2) the stage of economic outcome from technological outcome. Technological spillovers are separated from negative congestion effects through the stage-specific estimation. The firm-level Korean Innovation Survey data merit in coping with the endogeneity problem inherent in the estimation of spillovers. The estimation results show that: (1) there exist significant R&D spillovers both in regional and industrial dimensions, (2) the hypothesized technological spillovers and economic congestion effects are both in effect, and (3) firms with smaller individual R&D investments show greater spillovers.

• Asian Journal of Innovation and Policy
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• v.6 no.2
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• pp.206-224
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• 2017

This article proposes a logic model for assessing the performance of the outcome of public research as a technology valuation method. It consists of two parts and eight steps. The first part is a scoring system and the second part is a validation process of the performance index derived from scoring by valuation method. The scoring in the first part generally requires a focus group method to find out the value drivers and make an evaluation table. The reason why we call it the technology valuation method is that the first part is derived from the simple evaluation of technology value using checklists for value drive. The second part is the regular technology valuation process. The model is designed for the measurement of unquantifiable outcome. Is knowledge or scientific outcome comparable to the measured outcome? If possible, how big is the unquantifiable outcome? This model is based on financial valuation techniques with clear or acceptable market data. Therefore, it cannot work solely for unquantifiable outcomes without comparable measurable outcomes, unlike economic valuation.

• Journal of Korea Technology Innovation Society
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• v.8 no.spc1
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• pp.451-475
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• 2005

This paper focuses to find out and analyse the influence of evaluation and image of government technology development programs on the outcome. A comprehensive survey of domestic technology-intensive industry was carried out. Through the results of this survey, we can understand and find out the impotance of the image and evaluation of the programs taken by the firms. We could find out, however, that the output of the technology development of the enerprises is one thing and outcome in the level of society is another, especially as for the influences of evaluation on the performances. In this regard, we could draw several policy implications as well as discussions.

• Asian Journal of Innovation and Policy
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• v.10 no.3
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• pp.274-293
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• 2021

Utilizing outside knowledge for innovation is an important task for companies in the competitive economy. Due to the rapid advance in the internet communication technology, the number and quality of innovation sourcing methods are increasing. We select co-creation, personalization and in-house R&D as the representative forms of innovation sourcing and suggest a game theory model that enables the comparative analysis between them. The decision and surplus outcome of the innovation mechanisms are compared under various settings of the input parameters of the model. The stakeholders voluntarily participate into all mechanisms when the product price is moderately high and the participation cost is low, while co-creation is the only feasible one when the product quality is niche. When the participation cost is relatively high, personalization outperforms co-creation.

• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.312-334
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• 2009

Advanced countries including OECD member countries focus on the Open Innovation strategy to strengthen their national science and technology innovation capability and to promote the utilization of its outcome. Numerous relevant researches are proceeded in these days, however, just few researches exist in the defense science and technology innovation fields. Therefore, the paper tries to apply Open Innovation concept to the national defense science and technology fields based on the change of defense environments and its problems. For this reason, the paper also presents the theoretical framework of defense Open Innovation and future directions for the purpose of strengthening the national defense science and technology innovation capability and expanding its outcomes.

• Asian Journal of Innovation and Policy
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• v.12 no.3
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• pp.383-400
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• 2023

This research focuses on examining the mobilization of Public Procurement for Innovation (PPI) in South Korea as a case study in technology innovation. By using the lens of policy mobility and qualitative research methodologies, it emphasizes the circulation of PPI is an outcome of an assemblage of multiple actors who are responsible for the introduction of PPI. The Public Procurement Service in South Korea has actively sought to understand and adopt the concept of PPI from developed countries. This initiative has been localized under the umbrella of 'innovative technology and product.' Throughout the mobilization, a cadre of technocrats, the Innovation Procurement Competence Center plays a pivotal role, and particularly encourages Small and Medium Enterprises to bolster their export capabilities, resulting in a reciprocal circulation of policies and programs from South Korea to foreign countries as well as within intra-urban area. Consequently, the above findings, revealing the nuanced evolution of policy mobility in local contexts, hold practical significance as they provide valuable insights and lessons for urban studies.

• STI Policy Review
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• v.7 no.1
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• pp.17-39
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• 2016

Despite the importance of university-industry collaboration, issues pertaining to the characteristics of collaborating firms, their modes of interaction, and the relationship between these modes and outcomes are not well-researched. The impact of country's development on these issues is also unclear. This case study examines Japan and Thailand-respectively representing developed and developing countries-and features the following key findings: 1) the characteristics of firms affect modes, with large Japanese firms being more collaborative with universities, whereas Thai SMEs significantly collaborate more with universities; 2) the relationship between modes in Thai firms is stronger than those of Japanese firms because in Thailand, perhaps due to weak technological capacity, R&D collaboration is conducted alongside university consultancy services; and 3) in Japan, R&D and human resource development collaboration lead to product innovation, whereas different outcomes are expected from different modes in Thailand. Apparently, trivial informal collaborations do have significant impact on innovation.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.195-229
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• 2015

Service innovation is considered a new way to gain competitive advantage and enhance firm performance. However, service innovation does not always guarantee the desired outcome. The effective organization and management of well-planned service innovation practices, which are consistent with the firm's business environment, become a critical challenge for service innovation success. In addition, an increasing number of studies have focused on the role of information technology (IT) capability in service innovations. Most studies on service innovation have focused on the influences of the strategic alignment and IT capability separately. In contrast, the current study combines them by investigating the positive moderating effect of IT capability on the alignment between business strategy and service innovation strategy. Based on data collected from 183 service firms in Korea, we first explore the effect of service innovation strategies when coupled with different business strategies on better firm performance. We then investigate the moderating effect of IT capability on the relationship between strategic alignments and firm performance. Empirical evidence indicates that a synergistic effect between alignment and IT capability on firm performance exists. Firms that have aligned service innovation strategy with business strategy should consider improving their organizational IT capability to ensure substantial leverage.