• Journal of Korea Society of Industrial Information Systems
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• v.20 no.5
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• pp.95-105
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• 2015

Prior studies have reported equivocal patterns of the results about the relationships between family involvement and firm performance, particularly financial performance. In line with this research trend, this study focuses on non-financial performance that agency costs may marginally influence. tries to identify the relationship between nepotism and the three types of innovation performance, namely corporate entrepreneurship, radical innovation performance, and incremental innovation performance. The results has shown that family involvement is positively correlated with the three types of innovation performance.

• Journal of Science and Technology Studies
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• v.6 no.2 s.12
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• pp.1-44
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• 2006

This paper aims to analyse post catch-up innovation activities of Korean firms. Traditional approach focused on incremental innovation through fast catch-up process. Recently, Korean firms present new patterns of innovation activities. It includes the development of state-of-the-art frontier products in capital intensive manufacturing sector, the achievement of architectural innovation through adopting newly developed components and the creation of new market based on the basic technological capabilities. This paper attempts to formulate conceptual framework for analysing post catch-up innovation activities and to analyse stylized facts of post catch-up activities based on the case studies on technology based small and medium Korean firms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.402-415
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• 2016

Most firms have great interest in their innovations, but they have no interest in the patterns of innovation. In particular, firms using the benchmarking method have a tendency to use the same method, which is very dangerous for management. Analyzing the innovation pattern is more important than to benchmark the leading company, because of the differences in the situation of all companies, such as an environment, competition, market, etc. This paper used the Grew & Scott's model, in which each firm has a different innovation pattern for valuable management performance. This study focused on service companies in logistics and aimed to contribute to the logistics industry

• Proceedings of the Korea Technology Innovation Society Conference
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• 2006.11a
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• pp.15-41
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• 2006

The increasing popularity of the concept of technology innovation has been driven by greater international competition in a rapidly globalizing economy. Both countries and enterprises are placing more and more emphasis on it in order to gain competitive advantages. This article gives a general introduction about the research and application of technology innovation in China. At the national level, one obvious fact is that the total R&D expenditure increased rapidly during the year 2001 to year 2005 and reached Y 245 billions, and China made 2,452 international patent applications in 2005 and became the world's 10th largest user of the Patent Cooperation Treaty. At the industry and enterprise level, much progress has also been made in China. This article uses the high-tech industry as an example to introduce the industry and enterprise technology innovation respectively. Corresponding to the practice, scholars also did a great amount of research work related to technology innovation. This article sums up all the work done from the macroscopic aspect (such as national technology innovation strategy, regional innovation system, industry technology innovation) and microcosmic aspect (such as enterprise technology innovation strategy, patterns and evaluation standards). Based on the analysis, this article discusses the limitation of current work and research trend about the technology innovation.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1027-1033
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• 2020

This study intends to improve job performance during the Covid-19 pandemic at startup companies in Indonesia. In this study, the variables tested were job satisfaction, job innovation, Indonesian culture control, and job performance. Increasing job performance is deemed necessary in facing the economic crisis caused by the Covid-19 pandemic. Job innovation, job satisfaction, and culture control are deemed necessary in improving job performance. The population of this study are managers of start-up companies in Jakarta, Banten, and West Java. This research data obtained by distributing questionnaires to startup managers. This is a quantitative study with primary data. The sample technique used was purposive sampling. Structural Equation Model using Partial Least Square statistical software was used to analyze data. The results of this study indicate a change in the pattern of work performed by startup companies in running their business. Before the Covid-19 pandemic, employees worked in offices for seven hours, but after this pandemic, they change work patterns, moving them to work from home. Working from home requires companies to exercise better control and leadership patterns so that employees can work comfortably.

• Journal of Technology Innovation
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• v.19 no.3
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• pp.115-140
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• 2011

The fact that innovation activities of venture firms and start-ups play crucial role in driving industrial development and economic growth has significantly increased the importance of business incubator and techno-park which promote new businesses creations. This review paper aims at not only generating performance measurement index of business incubators but also categorizing performance determinants in accordance with three different theoretical perspectives of resource-based view, strategy patterns, and social networks. Futhermore, as future direction of research, this paper emphasizes structured research efforts on the critical effects of incubator's governance patterns, external and regional contexts, and analysis of government incubator policy.

• The Journal of Society for e-Business Studies
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• v.26 no.3
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• pp.1-20
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• 2021

As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.143-165
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• 2006

By analyzing five in-depth case studies of suppliers in newly emerging Vietnam's motorcycle industry, this paper explores the differences in patterns and processes of capability improvement of suppliers who participate in different kinds of supplier-assembler network with different structures. The paper finds the correlation between the kinds of suppliers' capabilities improved and the structure of networks they participate in. While suppliers in arm-length networks can improve more upstream capabilities (structure design, process desist), suppliers in embedded networks can improve more downstream capabilities (process design, process setup, process maintenance and delivery control). Two capability improvement patterns of firms in newly emerging economy are indicated. The first pattern is asymmetrical improvement, either upstream or downstream capabilities, by participating in either arm-length or embedded networks. This pattern obstructs the suppliers to meet the requirements of new buyers rho come from different kinds of network. The second pattern is symmetrical improvement by joining both arm-length and embedded networks.

• Knowledge Management Research
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• v.9 no.1
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• pp.39-59
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• 2008

This paper is an empirical study to analyze the flow of knowledge in science and technology in order to predict technology innovation. Here, we use the information of scientific papers and patents to look into the characteristics of how knowledge is created in science, technology and industry. Based on the characteristics we find, we are able to understand the relationships between science and technology, and technology and industry. In this paper, we adopt multivariate analysis of variance (MANOVA) using scientific papers in SCI database and US patents filed by Korean inventors in order to analyze the patterns of knowledge flows of science and technology. Finally, we present the direction for future study by using the research results.

• Applied Microscopy
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• v.51
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• pp.10.1-10.9
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• 2021

We investigate the sensitivity of symmetry quantification algorithms based on the profile R-factor (R_p) and the normalized cross-correlation (NCC) coefficient (γ). A DM (Digital Micrograph^©) script embedded in the Gatan digital microscopy software is used to develop the symmetry quantification program. Using the Bloch method, a variety of CBED patterns are simulated and used to investigate the sensitivity of symmetry quantification algorithms. The quantification results show that two symmetry quantification coefficients are significantly sensitive to structural changes even for small strain values of < 1%.