• Journal of Information Technology Applications and Management
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• v.30 no.4
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• pp.1-9
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• 2023

The purpose of this study was to make a mid- and long-term development plan on the business incubator center after interviewing five startups that currently being occupied in or already left the center and reviewing benchmark on business incubator centers in developed countries such as USA, Sweden, and Israel. For the interview, the three startups currently being occupied in the center and the two companies already left the center were participated. The main strengths of the center from all of these five companies were easy accessibility to the equipment and space and at the same time trustworthy from the outside vendors and/or government, etc. USA is a leading country who has long history for the startups but mostly the private companies/organizations/individuals have supported the startups in terms of funding or consulting. Also, there are countless local governments nationwide who provide funding, education, and/or space for the small businesses. Mainly based on the interview and the benchmarking, the mid- and long-term development plan for the business incubator center was made. All six themes such as consortium for investment or a local network plan were derived for the development plan which was described in this study.

• International Journal of Advanced Culture Technology
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• v.8 no.2
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• pp.297-304
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• 2020

Recently, open source automatic machine learning solutions have been applied in many fields. To apply open source automated machine learning to real world problems, you need to write code with expertise in machine learning. Writing code without machine learning knowledge is challenging. To solve this problem, the automatic machine learning solutions provided by startups are made easy to use with a clean user interface. In this paper, we review automatic machine learning solutions of startups.

• Asian Journal of Innovation and Policy
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• v.7 no.1
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• pp.55-78
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• 2018

This paper investigates the linkage between the mode of transformation of entrepreneurial learning into outcomes and the subsequent impact of these learning outcomes in enhancing the survival of high-tech startups in India. The study uses data from 45 high-tech startups headquartered across different locations in India for the purpose of analysis. Survival Analysis of the data is conducted to determine which mode of learning transformation and what type of en trepreneurial decision making preference have a significant influence on the survival of Indian high-tech startups and to what extent do they impact their survival. The results indicate that entrepreneur's prior startup experience, explorative mode of learning transformation, causal decision making of the entrepreneur and availability of funding for the startup as the key factors that reduce the time to survival of Indian high-tech startups. They also provide key insights on how these factors impact the startup survival in this region.

• Asia-Pacific Journal of Business
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• v.13 no.4
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• pp.123-134
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• 2022

Purpose - The purpose of this study is to investigate the effects of entrepreneurial motivation, self-efficacy, and entrepreneurial orientation on the performance of Mongolian entrepreneurs. Design/methodology/approach This study collected data from a survey on 236 entrepreneurs in Mongolia and investigate research hypotheses by empirical analysis. Findings It was found that entrepreneurial motivation (independence, opportunity-driven, achievement motivation) had a positive effect on the startups' performances, and necessity-driven motivation did not have a significant effect on the startups' performances. Entrepreneurial self-efficacy and entrepreneurial orientation had a positive effect on performance of startups. There are differences by gender on the relationships between entrepreneurial motivations and startup performances. Research implications or Originality This paper investigates the effects of entrepreneurial motivation, self-efficacy, and entrepreneurial orientation on the performance of startups in Mongolian.

• Korea Trade Review
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• v.47 no.1
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• pp.79-97
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• 2022

This study aims to analyze the effects of the characteristics of startups and the role of accelerators on internationalization performance. To achieve this purpose, we collected data from the management of 180 startups promoting overseas expansion. As a result of empirical analysis, it was confirmed that among the characteristics of startups, innovativeness, learning orientation, and global orientation had a significant effect on internationalization performance. In addition, it was confirmed that the role of the accelerator has a positive effect on the internationalization performance.

• 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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.13-29
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• 2021

The purpose of this study was to analyze the spatial distribution and location factors of startups by generation (young and middle-aged) in Seoul. To this end, a research model was established that included factors of industry, population, and startup institutions by generation in 424 administrative districts using the Seoul Business Enterprise Survey(2018), which includes data on the age group of entrepreneurs. As an analysis method, descriptive statistics were conducted to confirm the frequency, average and standard deviation of startups by generation and major variables in the administrative districts of Seoul, and spatial distribution and characteristics of startups by generation were analyzed through global and local spatial autocorrelation analysis. In particular, the spatial distribution of startups in Seoul was confirmed in-depth by categorizing and analyzing startups by major industries. Afterwards, an appropriate spatial regression analysis model was selected through the Lagrange test, and based on this, the location factors affecting startups by generation were analyzed. The main results derived from the research results are as follows. First, there was a significant difference in the spatial distribution of young and middle-aged startups. The young people started to startups in the belt-shaped area that connects Seocho·Gangnam-Yongsan-Mapo-Gangseo, while middle-aged people were relatively active in the southeastern region represented by Seocho, Gangnam, Songpa, and Gangdong. Second, startups by generation in Seoul showed various spatial distributions according to the type of business. In the knowledge high-tech industries(ICT, professional services) in common, Seocho, Gangnam, Mapo, Guro, and Geumcheon were the centers, and the manufacturing industry was focused on existing clusters. On the other hand, in the case of the life service industry, young people were active in startups near universities and cultural centers, while middle-aged people were concentrated on new towns. Third, there was a difference in factors that influenced the startup location of each generation in Seoul. For young people, high-tech industries, universities, cultural capital, and densely populated areas were significant factors for startup, and for middle-aged people, professional service areas, low average age, and the level of concentration of start-up support institutions had a significant influence on startup. Also, these location factors had different influences for each industry. The implications suggested through the study are as follows. First, it is necessary to support systematic startups considering the characteristics of each region, industry, and generation in Seoul. As there are significant differences in startup regions and industries by generation, it is necessary to strengthen a customized startup support system that takes into account these regional and industrial characteristics. Second, in terms of research methods, a follow-up study is needed that comprehensively considers culture and finance at the large districts(Gu) level through data accumulation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.63-79
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• 2024

The startup ecosystem is experiencing a paradigm shift in founding due to the acceleration of digital transformation, online platform companies have grown significantly into unicorns, but the lack of differentiated approaches and strategic support for deep tech startups has led to the inactivity of the startup ecosystem. is lacking. Therefore, in this study, we proposed ways to develop domestic startup development policies, focusing on the US system, which is an advanced example overseas. Focusing on the definition and characteristics of deep tech startups, current investment status, success stories, support policies, etc., we comprehensively analyzed domestic and international literature and derived suggestions. In particular, he proposed specific ways to improve support policies for domestic deep tech startups and presented milestones for their development. Currently, the United States is significantly strengthening the role of the government in supporting deep tech startups. The US government provides direct financial support to deep tech startups, including detergent support and infrastructure support. It has also established policies to foster deep tech startups, established related institutions, and systematized support. It is worth noting that US universities play a core role in nurturing deep tech startups. Leading universities in the United States operate deep tech startup discovery and development programs, providing research and development infrastructure and technology. It also works with companies to provide co-investment and commercialization support for deep tech startups. As a result, the growth of domestic deep tech startups requires the cooperation of diverse entities such as the government, universities, companies, and private investors. The government should strengthen policy support, and universities and businesses should work together to support R&D and commercialization capabilities. Furthermore, private investors must stimulate investment in deep tech startups. Through such efforts, deep tech startups are expected to grow and Korea's innovation ecosystem will be revitalized.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.3
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• pp.37-46
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• 2018

This paper define the research problem as the jeopardized situation of most startups in early chasm. Korean government have put more policy focus on helping these startups to jump over the chasm. One of the effective policy measures helps these startups defining the core competencies validated from target customers, in-housing them effectively, and therefore enhancing the level of differentiation against the competitors by "Product Pivoting Training Boots Camp." It ultimately give the key nudge to startups in struggling with unsold products after initial launch to the market. This paper carried out the empirical test to the target sample of startups participating in this camp. In particular, this research analyze the level of satisfaction of startups, as move along with characteristics of the participant and training program, going through this camp whether it enhance their will of application into real business case. The survey were delivered and collected from 203 startups in attending "Product Pivoting Academy, the following program of Startup Jump-up package policy module. The research result shows that all startups participating in this academy were so much satisfied and motivated strongly to take the training process into applying real business case in order to increase sales. The quality of the training program and the characteristics of the participants had mediating variable effects on the will of application with respect to the level of satisfaction. It imply that the program should put more attention on improving coaches' nudge and learning motivation of participants to enhance the level program satisfaction.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.1
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• pp.85-99
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• 2019

Startups need proper external supports to survive and build strong foundations for growth in their early stage. Accelerators help such startups by providing tangible and intangible resources. Accordingly, accelerators are creating a social environment that can effectively support the startups in the early stage, distinct from other institutions that fund or help the startups. However, the actual impact of accelerators on startups has not been yet fully scrutinized thoroughly, especially with the lack of theoretical lenses to comprehend accelerators. This paper aims to build a theoretical foundation to understand the role of accelerator, focusing on the network-based perspective. We briefly overview the concept of accelerator and the current status of the accelerator industry. Subsequently, focusing on the network that accelerators and startups create, this paper examines how the characteristics of the network relationships affect the growth and survival of the early-stage startups. Thus, by offering systematic analysis of the underlying mechanisms of the effects of the accelerators under network-based approach, this paper suggests a direction for the future empirical research on the topic of startup accelerator.