• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.59-70
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• 2020

This study was proceeded to empirically identify the start-up support policy as an element that affects the performance of the early start-ups and measure the effectiveness of the current start-up support policy, in order to suggest the direction future policies according to the study. To accomplish this the influence of the start-up support policy on the early start-ups was analyzed, and the differences according to the industry and growth stage of the start-ups, as the characteristics of the start-ups, were identified. The research subjects collected real data of 297 start-ups of the past three years that were selected for the Initial Start-Up Package project, and performed multiple regression analysis on the influence between variables, and hierarchical regression analysis on moderating effects. The summary of the study is as follows. First, as a result of identifying the influential relationship between the start-up support policy and the performance of the start-up, sales had made a significant impact on the start-up fund, start-up mentoring, and start-up infrastructure(space), while start-up education failed to show a significant effect on the increase in sales. In terms of employment, start-up mentoring was the only field that showed a significant influential relationship. Second, as a result of identifying the moderating effect of the start-up's industry and growth stage, the industry did not have a statistically significant influence, but the interactive effect was seen in start-up education. To be more specific in terms of the sales relationship of each industry, knowledge services turned out to be helpful in improving sales, while manufacturing turned out to be effective in improving sales regardless of being supported with start-up mentoring and start-up infrastructure (space). The sales relationship regarding the start-up growth stage was identified to be statistically significant. The preliminary stage was not statistically significant, while providing start-up mentoring and start-up funding were effective for start-up stage and growing stage, respectively. On the other hand, employment did not perform a significant influence on the start-up growth stage. This study analyzes the effectiveness the start-up support policy for early start-ups, identifies the need in differentiated support policies according to the characteristics of the start-ups, and suggests implications for the direction in which future policies should be made towards.

• Asian Journal of Innovation and Policy
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• v.3 no.2
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• pp.216-244
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• 2014

This paper empirically establishes the role played by the ecosystem related parameters in the emergence and growth of high technology start-up clusters in India. It is mainly based on secondary data from six major start-up hubs in India during the period 2005-2013. Our results throw up several interesting findings. First of all, we find that traditional infrastructure related factors or robust macroeconomic situation in general are not the most important drivers. What really seem to matter are the specific start-up ecosystem related factors - such as the Internet penetration, volume of deal flow, availability of VC funding and a pre-existing critical mass of relevant high technology businesses and skill-sets. Above all, our study points out that high economic growth alone will not automatically lead to spillovers in the form of a vibrant start-up ecosystem. Rather it has to be a product of conscious and concerted policy efforts at all levels that directly address the main challenges faced by the early-stage start-ups.

• Knowledge Management Research
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• v.21 no.2
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• pp.41-58
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• 2020

A plan to promote public technology-based start-ups as a way to enhance the use of public technology has been emphasized. However, the problem of creating commercial value has persisted due to the lack of reproducibility and readiness of public technology. Although gap exists in the linking process between the public and private sector, it is difficult to find objective empirical evidence as most of them are only qualitative research. Our empirical works examine the impact of subsequent support of the public research institute on the commercialization of public technologies. Then, we analyze how commercialization of public technologies affects the growth of technology-based startups using 2-stage least square (2SLS) model. We find that the linkage with the technology subject contribute to the successful commercialization of public technology, and further to the survival and growth of technology-based start-ups. Our finding suggests that knowledge management system, to facilitate interaction between technology developer and consumers, is needed for the success of public technology-based start-ups.

• Asian Journal of Innovation and Policy
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• v.9 no.3
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• pp.308-338
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• 2020

The entrepreneurial journey is not short of challenges, and about 90% + tech start-ups experience failure (Startup Genome, 2019). The magnitude of the challenges varies across the tech start-up lifecycle stages, namely emergence, stability, and growth. This opens the research question, do the profiles of a start-up and its co-founder impact start-up success or failure across its lifecycle stages? This study aims to understand and identify the profiles of tech start-ups and their co-founders. We gathered primary data from 151 start-ups (Status: 101 failed and 50 successful ones), and they are across different lifecycle stages and represent six major start-up hubs in India. The chi-square test on status and start-up's lifecycle stage indicates a noticeable correlation, and they are not independent. The Kruskal Wallis test was used to distinguish statistically significant profile attributes. The parameters distinguishing success and failure are identified, and the need to deliver customer experience is emphasized by the start-up profile attributes: Product/service, high-tech nature of a start-up, investor fund availed, co-founder experience, and employee count. The importance of entrepreneurial experience is ascertained with entrepreneur profile attributes: Entrepreneurial expertise, the number of prior and current start-ups, their willingness to start again in the event of failure, and age of co-founder, which is a proxy to learning and experience. This study has implications for entrepreneurs, investors, and policymakers.

• Journal of Information Technology Services
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• v.16 no.4
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• pp.121-136
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• 2017

Recently, many people are interesting for Start-up and government also try to support their business because it can contribute economic growth. However, in Korea, despite there are many education and supporting programs for them, many Start-ups are failed to retain their business because they actually do not know what they do. Although prior studies for Start-up have pointed that education for them is very important for success, education programs for them only focus on theories rather than practices. Moreover, Start-ups need tools for supporting to business plans or information for their business. Therefore, in this study, we propose IT service functions for Start-up information system supporting Start-up competency. For this purpose, we conduct Delphi and Importance-Performance Analysis with experts on start-up. In experiments, we divided stage of business into three stages; business planning, implementation, growth and diversification. And we draw important tasks from experts in each stage. As a result, we find some tasks to concentrate for Start-up information systems. And we also find tasks which are not important for company founders. Through these results, we expect that the development of functions for supporting those important tasks will help increase the efficiency of Start-up companies and the survival rate of them.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.spc
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• pp.54-60
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• 2023

The government focuses on promoting start-ups, fostering ventures, and creating an ecosystem of start-ups through the formation of a strong growth environment for small businesses. This study provides academic and practical implications about ways of improving our business incubator's support service across stages of growth through IPA. To this end, an Importance-Performance Analysis (IPA) was conducted to analyze relationship and differences in importance and satisfaction of business incubator's support service support at business incubation center. These results present to provide the following academic and practical implications. The academic implications are the need for differences in support services for each phase of start-up growth. As factors that could increase the likelihood of successful start-up were identified in each phase of the start-up growth, important information needed for policy and strategy was provided. As a practical suggestion, the managers and expert groups are presented with sections to be opened for each start-up growth stage, minimum effort input, and areas to be maintained continuously. A systematic support plan is established and a foundation is provided for improvement measures in efficient start-up business incubator's support service.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.222-229
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• 2022

Through this technology development, companies that operate online shopping malls and prospective startups will support education, consulting and expert group matching so that they can solve various issues that may arise in the course of the entire business life cycle, from startups to closures. It is expected that differentiated consulting programs will be designed for companies that currently operate shopping malls and start ups, and customized consulting programs will be provided to improve the effectiveness of consulting while improving customer satisfaction. It is planning to develop a "successful start-up and operation helper" that helps successful start-ups. It is a system that primarily diagnoses problems of prospective entrepreneurs and operators through an automation system at the start-up and operation stage, and professional consultants participate to derive and solve problems, and takes care of all stages of shopping mall birth and growth. In this paper Metaverse based shopping mall Creation is also discussed. Through Big Data creation these accumulated data, we intend to help operators start and operate shopping malls through accurate information by managing all knowledge of shopping malls as a system in the long run.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.1
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• pp.29-36
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• 2013

So many researchers have been interested in key success factors of technological start-ups. However, previous studies have not focussed on Concreteness of technological capabilities at the growth stages and industry in technological start-ups. The purpose of this study is to investigate the Concreteness of technological capabilities that have influence on performance of technological start-ups. Empirical data was collected from 342 firms in BI in Korea. It used the questionnaire method for the CEO, It is executed the Regression analysis to test hypotheses of influencing effects. Results of the hypothesis testing are summarized as follows: First, It was found that technological capabilities had statistically significant influence on firm performance. But the property based resources had lower significant influence. Second, This research found that the knowledge based resources had higher significant influence on technological start-ups performance at IT industry. Third, The knowledge based resources had higher significant influence on performance at growth stages. In conclusion, technological capabilities were verified as important firm resources of technology-based start-ups for firm performance. But the Concreteness of technological capabilities was significant differences by growth-stage of firms.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.111-133
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• 2023

Innopolis start-up has become a representative model and path for commercialization of public technology. Along with the quantitative growth of innopolis start-up, the importance of innopolis start-up in national policies and institutional strategies related to public technology commercialization has also increased. However, over the past 16 years, innopolis start-up's establishment and growth have taken place in different ways at different times. This study aims to compare and analyze changes in innopolis start-up over the past 16 years, focusing on comparisons before and after 2014, when the establishment of innopolis start-up began to increase rapidly. Main findings are as follows. First, in the early stage of the quantitative expansion period, policy changes related to innopolis start-up were the main factors for the increase in innopolis start-ups. In addition, the rapid increase in the establishment of innopolis start-up after 2016 was largely influenced by changes in the start-up environment and institutional changes related to innopolis start-up. Second, the time of registration and size of the capital of innopolis start-up had a statistically significant effect on the sales for 3 years after registration. This result shows that with the rapid increase in innopolis start-ups, the need to build a customized support system for innopolis start-ups by size or growth stage has increased.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.49-62
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• 2016

Technology-based start-ups have great economic ripple effect such as economic growth and job creation. Therefore, a strategic approach is required in order for such start-ups to continuously grow. However, many technology-based start-ups do not survive the Death-Valley and are being eliminated from the market. This is an empirical study on influencing variables that have impact on their performance. This study presents growth intention and influencing variables that have impact on performance (financial performance, technological performance) based on previous research on technology-based start-up. Also, this study examines the relationship between entrepreneurial competence, team commitment and growth intention, and finds the effect of controlling business-network. Structural equation modeling was performed in order to test the research hypothesis. Survey was conducted on the firms that have been certified by Youth Startup Academy of Small and Medium Business Corporation. A total of 306 samples were collected from the survey. An empirical test was conducted on the research hypothesis using SPSS 21.0 and Amos 22.0. The result of hypothesis test shows that growth intention has positive influence on both financial and technological performance, and entrepreneurial competence (technological competence, strategic management competence, creative competence and team commitment) has positive influence on growth intention. Also, the research proved that business-network has regulation effect between human resource trait and growth intention. The result of our study will provide practical insight to future start-ups for continuous growth and successful running of their firm.