• Journal of Digital Convergence
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• v.13 no.8
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• pp.301-313
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• 2015

Robot technology has become a crucial part of today's business operation. In fact, more manufacturing firms have been utilizing robot technology in order to increase operational efficiency and productivity. Thus, this study develops the research model investigating firms; behavior for process innovation with intelligent robot. Three categories - Technical, Entrepreneur, and Environmental characteristic - are proposed in the research model as determinants of process innovation. These three characteristics include six variables(Perceived Direct Usefulness, Perceived Indirect Usefulness, Innovation, Risk Senstivity, Perceived Industry Pressure, and Perceived Government Pressure) as influencing factors on process innovation. The data from 77 employee at manufacturing firms were analyzed to test proposed hypotheses. The results reveal that all variables with exception of Perceived Government Pressure have a significant influence on process innovation. Based on the study results, theoretical and practical implications for process innovation with intelligent robot technology are discussed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.5
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• pp.175-189
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• 2020

Daejeon City has strived to support the SMEs to innovate technologies based on the capabilities of research and development of the Daedeok Innopolis. It is widely known that technological innovation is the key strategy of Small medium enterprises(SME) to survive and succeed in a market. This study aims to analyze the type and determinants of SME technological innovation in Daejeon. Even though most of firms are the small enterprises which employ less than 10 workers in Daejeon, the number of technology-oriented company per capita in Daejeon is highest in South Korea. The type of technological innovation is divided between product innovation and process innovation. The literature insists that technology-oriented small firm tends to implement product innovation rather than process innovation. SMEs in Daejeon also provided more output from product innovation than process innovation. The empirical analysis provided the results that the determinants of SME's technological innovation depends on its type. The scale of firm, R&D investment, and R&D employees positively influence product innovation of SMEs in Daejeon. However, the impact of R&D employees is not significant on innovating the existing product. Process innovation is positively affected by R&D investment and firm age. The study provides the policy implications to business supporting programs of Daejeon government. The business supporting policy of Daejeon government should focus on supporting each type of technological innovation to promote technological innovation by SME and consider strategies that focus on R&D investment and manpower support.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.3
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• pp.1824-1831
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• 2015

This study diagnosed the innovation capability of SMEs by utilizing the VIQ(Value Innovation Quotient) and deduced the innovation strategy. VIQ is the diagnosis tool for measuring the innovation capability of the SMEs focusing on the value innovation. SMEs can utilize this tool for diagnosis and deduce the innovation strategy. This study selected the high-growth venture company- K company and analyse it and deduced the innovation strategy. Innovation strategy can be as follows; Firstly, agile strategy formulation tool such as business intelligence and scenario planning should be adopted for the flexible business planning. Secondly, speedy decision making process should be made. Thirdly, open communication and empowerment process should be made. This paper can present the method of evaluating and diagnosis of value innovation capability of SMEs and innovation strategy formulation process.

• Journal of Korea Technology Innovation Society
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• v.21 no.4
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• pp.1508-1535
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• 2018

Employment in enterprises is a consecutive decision-making process based on the results of their innovative activities and it is necessary to consider this relationship as well explicitly in an analysis of the employment performance through technological innovation. Based on this critical mind, this study would analyze the structural relationships among enterprises' innovative activities, the performance of technological innovation, a compensation system and the creation of employment, reflecting the correlation of the process of the actual technology management performed simultaneously, utilizing the seemingly unrelated regression(SUR) model to estimate a simultaneous equation in addition to analyzing the relationship between technological innovation and the effect on employment with the ordered logit model to estimate a single equation as in the preceding studies. As a result of the analysis, a structural relationship could be found out, in which the execution of the compensation system would increase the performances of technical development and technology commercialization, which in turn, accelerates enterprises' employment. Especially, it is judged that enterprises' employment performance increases when technological innovation is managed from a process perspective in that the commercialization performance, as well as technical development, acts as a kind of hurdle in the effect on employment.

• Proceedings of the Technology Innovation Conference
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• 2005.08a
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• pp.5-28
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• 2005

This paper estimates the effect of networks on innovative performance at the firm level , using Korean Innovation Survey (KIS) dataset Product innovation, product improvement , and process innovation are used as proxies for innovative activity. The explanatory variables such as firm size, market concentration ratio, lagged profitability, foreign ownership, export ratio, firm's age, formal R&D activity, and industrial R&D intensity are yet other considerations. With two year-long (2000 and 2001) data from 1,124 Korean manufacturing firms, we estimated the logistic regression model. The research finding indicates that the external networks have a strong positive effect on innovative output regardless of type of innovation. However, the network effects by partner (other firms or research institutions) vary across the type of innovation. Especially, we found that the user-supplier linkage plays an important role in product ion innovation, product improvement, and process innovation.

• IE interfaces
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• v.16 no.2
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• pp.125-139
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• 2003

This paper reports an empirical study on assessment of R&D best practices. The principles of quality management and their tools such as best practices or benchmarking have been so prevailing in the operational process that the R&D management recently consider extensive use of them for their innovation process. However, characteristics of the two processes may be different each other. Are the principles or the tools that were effective in the operational field still going to be effective in the innovative field? In order to answer the question, we statistically examine how R&D best practices contribute to the innovative performance. Upon literature review on technological innovation, we present a R&D process model whereby we set forth research hypotheses. Using data from 66 successful R&D efforts carried out among Korean firms mostly between 1999-2001, regression analyses reveal that best practices used in most stages throughout the R&D process are found not to significantly contribute to the innovative performance. Only those in technology strategy and prototyping stages are proven effective for technical and commercial performance respectively. Interestingly, efforts in a problem solving and improvement stage are counterproductive in the case of the innovation process. Discussions on our empirical observations are presented followed by some managerial implications.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.1
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• pp.95-110
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• 2015

Most innovation related theories including entrepreneurship theory regard the CEO's innovative competencies as the starting point of innovation. The study was investigated the relationship between CEO's innovation DNA and Innovation and the effects of environmental fit in their relation. For the empirical test, the sample was collected from 110 manufacturing companies in Daegu and Gyeongbook region. The results as follows: First, Innovation DNA has generally significant positive effect on innovation. The effect of discovery DNA is stronger than operating DNA to the product innovation, but the operating DNA stronger than the discovery DNA to the process innovation. The fit between CEO's innovative DNA and exogenous environmental turbulence make a strength innovation. The supplementary fit between discovery DNA and technology turbulence and complementary fit between discovery DNA and market turbulence reinforce product innovation. Process innovation were strengthen by the complementary fit between operating DNA and market turbulence.

• Asian Journal of Innovation and Policy
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• v.9 no.3
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• pp.281-307
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• 2020

A variety of approaches are being applied to improve the existing ex-ante evaluation by expert panels in publicly funded R&D. While the objective evaluation criteria are constantly being improved to screen and select the superior projects, alternative approaches such as random prioritization and logical modeling are also underway to overcome the conservative bias of reviewers and to secure disruptive innovation. This study intends to find critical implications for ex-ante evaluation of public R&D system from the comparison of Indonesia and Korea. For the comparative analysis, literature review and expert in-depth interviews are conducted on the national R&D system and the selection evaluation process. In Korea, the selection criteria of projects are legally promulgated for establishing an objective evaluation system, and at the program level, the major considerations in the planning process are specified by Presidential Decree. On the other hand, while Indonesia conducts R&D in 47 strategic fields largely by public research institutes (PRI) based on the non-competitive government contributions. This study draws out implications of institutionalizing the planning process at the level of program, and of increasing the ratio of contract-based competitive funding at the level of project in the national R&D portfolio.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.29-34
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• 2022

The innovative process of digitalization and creation of innovation from an idea to its commercialization requires certain financial costs, labor and mental efforts. The amount of investment (corporate and public) is the most important imperative to enhance innovation and is traditionally considered as the main "input" indicators of the development of innovation infrastructure, in this case, the financial infrastructure of innovation. At the same time, the modern theory of innovation development assumes a systematic approach to the organization of innovation activity, which provides for the close interaction of several subsystems: human (including intellectual) potential, financial and technological capital, as well as relevant institutions and methods of regulation.. Thus, the main task of the study is to analyze the features of investment support for the process of digitalization of socio-economic systems in the context of strengthening international economic relations. As a result of the study, current trends and prerequisites of investment support for the process of digitalization of socio-economic systems in the context of strengthening international economic relations were revealed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.469-482
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• 2019

This paper analyzes the effects of government support systems, regulation, and innovation promotion policy on technological innovation performance of companies in the service industry using 4,000 Korean service industry companies. Multiple and hierarchical multiple regression analysis were used to analyze the correlation between the individual factors and process innovation and product innovation. Government support, regulation and technology innovation in the service industry were tested. In addition, government innovation promotion policy includes government support and regulation and the technological innovation performance of service firms. As a result, the government support system affects both the process innovation and the product innovation performance in the service industry, but affects only the process innovation performance in the case of regulation. Innovation promotion policy was found to regulate the relationship between government support systems and regulation and innovation performance of the service industry. Therefore, these findings provide strategic implications for the management of enterprises in relation to government support systems and innovation policy. It is necessary to reorganize regulations that are outdated to improve the effect of innovation policies on innovation performance.