• Journal of Information Technology Services
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• v.17 no.1
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• pp.1-16
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• 2018

In this research, we tried to suggest the guidelines to stakeholder of ICT startup for picking up the excellent startups and nurturing them. We designed the research model focused on the good startup team's knowledge based interaction mechanism. A research model and hypotheses were developed from literature review and empirically validated. The research model consisted relationship among the knowledge sharing (knowledge donation and knowledge collection), absorptive capacity (member's ability and member's motivation), team creativity, and innovation capability. Data were collected from ICT Service Startups, and a partial least squares (PLS) analysis was made on 175 data points. The analysis results showed that absorptive capacity has significant effect on team creativity and innovation capability directly. And also it has indirect effect on the dependent variable through team creativity. On the contrary, knowledge sharing does not have statistically significant effect on team creativity and innovation capability; only have an effect on absorptive capacity. Based on the results, we proposed several team management skills for ICT startup leaders and members, and the guidelines to stakeholder such as government and private investors. Also there are some ideas for startup nurturing polices for government officers. Theoretical contributions are discussed at the end with limitations and further studies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.11
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• pp.1495-1504
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• 2018

The Moon administration has proposed three major directions for startup growth: the creation of a new environment, active investment, and the creation of a virtuous cycle in venture investment. The policy is progressive but not sufficient to create a startup innovation boom in the current Korean economic environment. ICT Startup support policies must pay more attention to the product release stage. For growth of startups and small businesses it is important to establish a close value chain to secure competitiveness in the global market. It is necessary to secure a bridgehead to advance into the global market, including technical cooperation with large companies and joint advancement overseas. The final goal of the startup policy should be the continuous growth of the national economy and the expansion of employment. The establishment of fair trade and the strengthening of the startup ecosystem are important to foster a startup-friendly environment. Funding programs requires a shift from general support to enhanced choice and focus.

• Electronics and Telecommunications Trends
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• v.37 no.4
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• pp.1-10
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• 2022

As the response to climate change becomes a more pressing global issue, so do expectations for climate change in the green information and communication technology (ICT) industry and the possibility of solving environmental problems through ICT. However, because the green ICT industry is still in its early stages, there is little research on it. Understanding the startup ecosystem in the industry is helpful for recognizing innovation trends in emerging technologies such as green ICT. In this regard, this paper investigates the current state and characteristics of the green ICT ecosystem and presents implications based on an examination of startup venture capital investment trends and submarket identification in the green ICT industry as emphasized by the carbon neutrality paradigm shift. The analysis included 4,807 companies and 3,990 funding records, as well as exploratory data analysis and "k-means" clustering techniques.

• Journal of Aerospace System Engineering
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• v.10 no.3
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• pp.32-38
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• 2016

This paper explains space-technology startup-business support programs. MSIP (Ministry of Science, ICT and Future Planning) and KARI (Korea Aerospace Research Institute) began running startup-business support programs from 2013 according to a "space-technology industrialization plan." In addition, MSIP and KARI have been running startup academies and STAR-Exploration for future entrepreneurs and startup companies since 2015. From these programs, five startup companies were established and they are generating sales. This paper shows the results of the programs, and the program cases of the startup and venture companies are analyzed for both domestic and international audiences. The future direction of startup-business support programs that are based on space technology is also discussed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.1
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• pp.189-201
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• 2023

The purpose of this study is to analyze the ICT startup investment status in Korea and examine the relationship between startups and venture capitals by network analysis. In this study, the Gephi was used to analyze network attribute values and to compare the results of each centrality. As a result of the analysis, IMM investment, Altos Ventures, and Smilegate Investment were located in the top ranks in each centrality. It can present that venture capital companies ranked high in betweenness centrality, closeness centrality, eigenvector centrality have continuously invested in growing startups into unicorns from 2014 to 2019. These results can be used as data for startups want to receive funding from venture capital in the future in consider to the relation of startup and invest industry. This study provides information to develop strategies for the sustainable venture investment environment in Korea of stakeholders such as startups, venture capital, consumers, and the government; as a result, it can help various follow-up studies in the field of startups and venture capital.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.89-101
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• 2021

Scale-up of ICT startups is not easy because of limited capabilities, lack of resources, and immature networks for the business. Therefore, this research selected a representative startup succeeded in scale-up and applied the ERIS model in analyzing their scale-up process in the initial stages of scale-up. Analysis of qualitative data collected revealed that the entrepreneurs' experience, convergence of knowledge between diverse industries, participation in public-sector-led R&D, management of communication channels between customers and businesses, and utilization of project-oriented campaigns are found to be critical success factors in scaling up ICT startups. Academically, this study validates the utility of ERIS model in analyzing the scale-up process. For practitioners, this study will be used as a reference for strategic development in seucring the competitiveness of the initial market of ICT startups and scale-up.

• Journal of Platform Technology
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• v.11 no.4
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• pp.19-34
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• 2023

In order to identify the trends and insights of 'startups' in the global era, we conducted an in-depth trend analysis of the global startup ecosystem using Google Trends, a big data analysis platform. For the validity of the analysis, we verified the correlation between the keywords 'startup' and 'global' through BIGKinds. We also conducted a network analysis based on the data extracted using Google Trends to determine the frequency of searches for the keyword or term 'startup'. The results showed a strong positive linear relationship between the keywords, indicating a statistically significant correlation (correlation coefficient: +0.8906). When exploring global startup trends using Google Trends, we found a terribly similar linear pattern of increasing and decreasing interest in each country over time, as shown in Figure 4. In particular, startup interest was low in the range of 35 to 76 from mid-2020 due to the COVID-19 pandemic, but there was a noticeable upward trend in startup interest after March 2022. In addition, we found that the interest in startups in each country except South Korea is very similar, and the related topics are startup company, technology, investment, funding, and keyword search terms such as best startup, tech, business, invest, health, and fintech are highly correlated.

• Journal of Korean Society for Quality Management
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• v.45 no.3
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• pp.463-481
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• 2017

Purpose: This study provide the matching mechanism between startup and business incubator to enhance managerial performance of business incubator. In addition, we propose the differentiation strategy for business incubator based on the needs of startups. Methods: In order to carry out the research, we surveyed 216 startups who already have invested in venture capitals and angel investors and currently residing in business incubator and 30 venture capitals and angel investors. Based on survey results, we develop a business incubator capability table matching startup with business incubator. Results: Satisfaction and importance of the supporting programs varied depending on the startup experience and startup lifecycle. As a result, we recommended a R&D center for machinery/material, bio/medical and electric/electronics startups and individual office for ICT and knowledge service startups. In addition, we suggested a differentiation strategy to BI in university specialized for machinery/material, privately operated BI for electric/electronic, (local)government, R&D center and individual office for knowledge service respectively. Conclusion: In this study, business incubator capability table is applied to match startup with business incubator and it could be applied to evaluate the current status of business incubator. Furthermore, it will help to establish a future strategic direction for business incubator.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.3
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• pp.321-336
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• 2019

The ICT industry has developed into an industry that generates national competitiveness. The policy to support the ICT industry, initiated by the government, has been activated mainly on the Teheran Road of Gangnam-gu in Seoul. In this regard, this study examined the emergence background and formation factors of the new innovation district in the urban area of the Teheran Valley. In addition, this study examined the characteristics of the innovation district in the integrated urban and industrial parks with various facilities and institutions supporting the startup. This study examined the status of the Teheran Valley as an urban innovation district by dividing the indicators of the urban innovation district in the Teheran Valley into economic assets, spatial and physical assets, network assets, and human capital. It also examined the ICT technology leading the innovation and analyzed the implications for regional economic development.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.167-179
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• 2024

This study addresses the challenge of objectively evaluating the performance of early-stage startups amidst limited information and uncertainty. Focusing on companies selected by TIPS, a leading private sector-driven startup support policy in Korea, the research develops a new indicator to assess technological efficiency. By analyzing various input and output variables collected from Crunchbase and KIND (Korea Investor's Network for Disclosure System) databases, including technology use metrics, patents, and Crunchbase rankings, the study derives technological efficiency for TIPS-selected startups. A prediction model is then developed utilizing machine learning techniques such as Random Forest and boosting (XGBoost) to classify startups into efficiency percentiles (10th, 30th, and 50th). The results indicate that prediction accuracy improves with higher percentiles based on the technical efficiency index, providing valuable insights for evaluating and predicting startup performance in early markets characterized by information scarcity and uncertainty. Future research directions should focus on assessing growth potential and sustainability using the developed classification and prediction models, aiding investors in making data-driven investment decisions and contributing to the development of the early startup ecosystem.