기술사업화 초기 단계에서 빅데이터 활용이경영성과에 미치는 영향 연구- 개발성과의 매개효과를 중심으로 - (A Study on the Effect of Big Data Utilization on Business Performance at the Early Stage of Technology Commercialization - Focusing on the Mediating Effect of Development Performance -)

With the growing uncertainty in the economy and the advancement of science and technology, it is difficult to hire employment in existing companies. What emerges as a new alternative is to create a new company that creates startups. Business start-ups are instrumental in creating new jobs, creating new values, creating new values for the economy, and fostering future economic entities. Following this backdrop, the importance of start-up is stressed.
The problem is that the success rate of startups is not high. As of 2015, the average survival rate of Korean startups after two years was 47.5%. It is said that close to half of the company is closed within two years of the new company. In this way, since the failure rate of the start-up companies is particularly high, lowering the failure rate at the initial start-up is the most important part of the start-up. The main failure factor of a Korean start-up company is the lack of business preparation, which means that it is failing to start a new business with the role of new product, market research and technology trend analysis, and strategic marketing. I was worried that this failure factor could be applied as a breakthrough in overcoming the “Death Valley” of start-up through the use of big data. The purpose of Big Data analysis is focused on product improvement, consumer analysis, and forecast trends.
The purpose of this study is to investigate the effect of big data utilization on business performance through development performance and ultimately to identify what efforts should be made to utilize big data effectively. The results of the hypothesis test are summarized as follows. First, product and service improvement activities using Big Data have a positive effect on development performance in the early stage of technology commercialization. Second, marketing activities using Big Data have a positive effect on business performance in the early stages of technology commercialization. Third, the use of big data in the early stage of technology commercialization should proceed through development achievement in order to have a significant effect on business performance.
This study is meaningful as the first attempt to verify the factors affecting business performance at the early stage of commercialization of technology through the use of big data, Therefore, this study is expected to contribute to the activation of big data use and the start-up success rate at the early stage of technology commercialization. Recently, the central and local governments have been carrying out many big data related projects.
It is expected that this research will be used to establish policies and business strategies related to support of big data-based technology commercialization for early.

With the growing uncertainty in the economy and the advancement of science and technology, it is difficult to hire employment in existing companies. What emerges as a new alternative is to create a new company that creates startups. Business start-ups are instrumental in creating new jobs, creating new values, creating new values for the economy, and fostering future economic entities. Following this backdrop, the importance of start-up is stressed.
The problem is that the success rate of startups is not high. As of 2015, the average survival rate of Korean startups after two years was 47.5%. It is said that close to half of the company is closed within two years of the new company. In this way, since the failure rate of the start-up companies is particularly high, lowering the failure rate at the initial start-up is the most important part of the start-up. The main failure factor of a Korean start-up company is the lack of business preparation, which means that it is failing to start a new business with the role of new product, market research and technology trend analysis, and strategic marketing. I was worried that this failure factor could be applied as a breakthrough in overcoming the “Death Valley” of start-up through the use of big data. The purpose of Big Data analysis is focused on product improvement, consumer analysis, and forecast trends.
The purpose of this study is to investigate the effect of big data utilization on business performance through development performance and ultimately to identify what efforts should be made to utilize big data effectively. The results of the hypothesis test are summarized as follows. First, product and service improvement activities using Big Data have a positive effect on development performance in the early stage of technology commercialization. Second, marketing activities using Big Data have a positive effect on business performance in the early stages of technology commercialization. Third, the use of big data in the early stage of technology commercialization should proceed through development achievement in order to have a significant effect on business performance.
This study is meaningful as the first attempt to verify the factors affecting business performance at the early stage of commercialization of technology through the use of big data, Therefore, this study is expected to contribute to the activation of big data use and the start-up success rate at the early stage of technology commercialization. Recently, the central and local governments have been carrying out many big data related projects.
It is expected that this research will be used to establish policies and business strategies related to support of big data-based technology commercialization for early.