Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.13
no.1
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pp.61-72
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2018
In a rapidly changing environment, such as globalization, technology-based startups are attracting attention as a new growth engine that creates jobs and added value and promotes national competitiveness. At present, countries around the world recognize the development of technology-based start-up companies as a major policy task and strive to make policy efforts to revitalize start-ups and strengthen innovation capabilities of companies. Especially, in order to secure superiority in the fierce market competition, it is becoming more and more important for the growth and development of technological start-up companies that pioneer new markets and energize the economy based on original and innovative technologies. Therefore, it is necessary to study systematically and plan for survival and growth of technology start-up companies. The purpose of this study is to investigate the entrepreneurial spirit of Innovation, Entrepreneurship, Risk Sensibility and Technology Innovation Capacity, R&D ability, Technology Accumulation Capacity, Technology Innovation System, The results of this study are as follows. the effects of marketing ability on technical performance and financial performance are examined. First, the CEO 's entrepreneurial spirit has an effect on the technical performance and financial performance of the management performance. Second, the technology accumulation ability and the R & D capability have a positive effect on the technical performance. Finally, it was found that the ability to commercialize the technology commercialization capacity affects both technical performance and financial performance. The policy implications that can be gained through this are as follows. First, by strengthening cooperation between universities and research institutes, related technology entrepreneurship education programs should be upgraded so that technology entrepreneurs or preliminary entrepreneurs can capture business opportunities and secure market price competitiveness. Secondly, R & D for the purpose of start-up should be developed and marketable technology should be developed and linked to direct start-up. Third, it is necessary to activate the program to match the company with the honorary retirement manpower of large enterprises and SMEs, which have more experience in field experience than the founders.
Recently, the notion of "increasing returns" has been popular not only in academia but also in industries. This notion has been drawn from prior research on network effects, which showed that the market evolution would lock in to a dominant technology. However, the long history of technological change has rarely shown the possibility of lock-in to an inferior technology. How could the market with network effects make transition between incompatible technologies regimes by escaping the lock-in? This paper analyzes the effectiveness of R&D and technological choice to investigate the sources of the dynamic capabilities in the presence of network effects and uncertain technological progress. Why does the market sometimes work against a radical technology, and why, at other times, does the market operate in favor of it? This study is to address this question by modeling the situation of two competing technologies in the presence of network effects. The numerical analysis indicates that the evolution strategy of compatibility is more likely to increase the chance of firm growth when a majority of customers are not power users or when demand for an old technology has been escalated. But when there are a substantial number of power users or when a new technology emerges before such an escalation of demand, the revolution strategy of compelling performance is more likely to be effective. The result suggests a potential mechanism for overcoming the lock-in problem. When the market exhibits some inertia to an obsolete technology, which is reinforced by the increasing customer value with respect to backward compatibility, the survival of a new technology depends on power users. When many power users are cultivated by firms' technological efforts regarding the new technology, the market is less likely to lock into an obsolete technology. Indeed, in the workstation market, where power users characterize much of the demand, innovators like Sun successfully switched to the RISC architecture.
Journal of Information Technology Applications and Management
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v.30
no.5
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pp.41-57
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2023
This paper aims to analyse the factors influencing the implementation of smart factories and their performance after implementation, using the grounded theory analysis method based on interview data. The research subjects were 21 companies that were selected by the Smart Manufacturing Innovation Promotion Group under the SME Technology Information Promotion Agency in 2020-2021 as the best case smart factory implementation companies, and introduced the intermediate stage 1 or above. A total of 87 concepts were generated as a result of the analysis. We were able to classify them into 16 detailed categories, and finally derived six broad categories. These six categories are "motivation for adoption", "adoption context", "adoption level", "technology adoption", "usage effect" and "management effect". As a result of the overall structure analysis, it was found that the adoption level of smart factory is determined by the adoption motivation, the IT technology experience affects the adoption level, the adoption level determines the usage and usage satisfaction, internal and external training affects the usage and usage satisfaction, and the performance or results obtained by the usage and usage are reduced defect rate, improved delivery rate and improved productivity. This study was able to derive detailed variables of environmental factors and technical characteristics that affect the adoption of smart factories, and explore the effects on the usage effects and management effects according to the level of adoption. Through this study, it is possible to suggest the direction of adoption according to the characteristics of SMEs that want to adopt smart factories.
Supercomputing performance demand forecasting at the national level is an important information to the researchers in fields of the computational science field, the specialized agencies which establish and operate R&D infrastructure, and the government agencies which establish science and technology infrastructure. This study derived the factors affecting the scientific and technological capability through the analysis of supercomputing performance prediction research, and it proposed a hybrid forecasting model of applying the super-computer technology trends. In the cross-sectional analysis, multiple regression analysis was performed using factors with GDP, GERD, the number of researchers, and the number of SCI papers that could affect the supercomputing performance. In addition, the supercomputing performance was predicted by multiplying in the cross-section analysis with technical progress rate of time period which was calculated by time series analysis using performance(Rmax) of Top500 data. Korea's performance scale of supercomputing in 2016 was predicted using the proposed forecasting model based on data of the top500 supercomputer and supercomputing performance demand in Korea was predicted using a cross-sectional analysis and technical progress rate. The results of this study showed that the supercomputing performance is expected to require 15~30PF when it uses the current trend, and is expected to require 20~40PF when it uses the trend of the targeting national-level. These two results showed significant differences between the forecasting value(9.6PF) of regression analysis and the forecasting value(2.5PF) of cross-sectional analysis.
This study analyzed the relationship between the level of the venture environment, the benefits of the venture business verification system, internal capabilities, and management performance through the actual data of domestic venture companies collected in the Venture Business Precision Survey. As a result of the empirical analysis, the level of venture infrastructure did not affect the company's capabilities, but it was found that the venture company confirmation system had a positive effect. In the case of corporate competency, it was found that it had a positive effect on technological performance, but had no effect on sales performance. However, the research results confirmed that internal competency mediates the relationship between the venture environment level and the benefits of the venture business confirmation system and business performance. This study has the implications of confirming a series of processes leading to competency and performance in the environment using data from actual venture companies, and confirming the importance of corporate competency. In addition, since we confirmed the effect of the environmental factors of the venture environment level and the venture business confirmation system on the internal performance, if the process is introduced in the later reorganized venture business confirmation system, we will examine the factors that can enhance the performance of venture businesses. A more precise check is expected.
Offset trade has been applied in Republic of Korea's defense acquisition programs since early 1980s and used for national economic development as well as enhancement of military capabilities. The accumulated offset trade value amounts to over 10 billion dollars by 2010. However, questions in regards to the effectiveness of offset trade have been constantly raised. As it is a quite difficult task to analyze and calculate the application performance of defense technologies acquired by offsets objectively, limited level of quantitative analysis of application performance have been conducted so far. Hence, in this paper, we came to understand the overall status of application of those technologies through in-depth performance analysis and suggested some specific policies for the further development of offset trade based on the analysis results. To begin with, we developed a questionnaire based on performance indicator deducted through literature review of relevant researches, and conducted survey of major offset recipients. Also, another survey of offset experts belonged to the army, government organization, research institute and companies was conducted to evaluate the performance and effectiveness of offsets qualitatively. And we analyzed the efficiency of application performance using DEA. The results of all surveys are showing that there is positive accomplishment in the technological aspect, but in economic aspect, it shows relatively inactive outcome. Based on these results, policy direction is considered to be changed from the emphasis on the acquisition of core technology to revitalization of domestic defense industry in line with new government's policy orientation.
In order to continue to grow in response to the rapidly changing industrial environments, companies must retain technological innovation capabilities and enhance market competitiveness. When competition is intensifying for creating new businesses and developing new products through technology commercialization, creating and utilizing technology convergence performance is an important means to create new competitiveness. However, there has been a lack of effort to systematically understand the level of technology convergence performance of the enterprise and to understand its relationship with management performance. In this paper, we develop a new analytical index by segmenting the technology convergence into patent variety, balance and disparity using patented IPC code information based on the concepts presented in existing diversity studies. In addition, 4,522 patents granted for three years between 2013 and 2015 by 219 KOSDAQ companies belonging to the domestic ICT convergence industry were analyzed to demonstrate that the level of technology convergence performance is positively related to sales growth rate in 2016.
This study verified the effect of R&D capabilities and resource allocation capabilities on technology commercialization capabilities and the effect of technology commercialization capabilities on product performance. The effect of technology commercialization capability was verified by using commercialization speed, market scope, and technology breadth as variables. A survey was conducted for employees of SMEs companies, and the model and hypotheses of the study were verified using SPSS 25 and Smart PLS 3.0. It was confirmed that R&D capabilities and resource allocation capabilities had a significant effect on technology commercialization capabilities, and technology commercialization capabilities had a significant effect on the company's product performance. Through the results of this study, strengthening a company's R&D capabilities and resource distribution capabilities from a resource-based perspective expands technology commercialization capabilities such as commercialization speed, market scope, and technology breadth, and strengthening technology commercialization capabilities affects product performance of a company. It is meaningful in providing implications for the commercialization performance of companies by revealing the impact.
This research develops a theoretical model of the influence of firm's internal and external characteristics on foreign knowledge learning and international performance. To verify research hypotheses, 222 cases were collected as samples and the data was tested by structural equation modeling analysis. The result of the analysis shows that the CEO's foreign experience, entrepreneurship, technological innovation and use of foreign network have positive influence on the international performance. Besides CEO's foreign experience and use of foreign network affects the foreign knowledge learning, which shows the useful relationship of international performance and accordingly it is proved that the foreign knowledge learning has mediating effect between the firm's internal and external characteristics and international performance.
Despite many previous studies on catch-up, understanding on the effect of product architecture developed by latecomers on the catch-up performance remains limited. On the other hands, in contrast to the semiconductor, ship building, and automotive industry, even if Korean industry and government have invested the development of numerical controllers for machine tools in the past four decades, the industry and government have failed to achieve catch-up. Therefore, we newly examine the effect of product architecture on the catch-up performance of the Korea by implementing comparative research with periods on the evolution of product architecture of Fanuc's numerical controllers, which have achieved the largest market share in the world. We found that Fanuc developed open modular architecture based numerical controllers and provided product with customization of user requirements as well as cost effectiveness. Consequently, Fanuc has sustained market leader position since the mid-1980s. However, despite all the efforts of the industry and government, we found that the Korea failed to develop open modular architecture based numerical controllers and could not achieve significant catch-up performance. Our findings provide important theoretical backgrounds for examining the catch-up performance as well as investigating the reason why latecomers failed to achieve market catch-up even if they accomplished technological catch-up.
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