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학술논문KSBB Journal2021.03 발행KCI 피인용 1

인수합병 거래 데이터를 활용한 헬스케어 기술기회탐색

Technology Opportunity Discovery Based on M&A Transactions Data in Healthcare Industry

김상욱(솔브레인홀딩스(주)); 최경현(한양대학교)

36권 1호, 1~15쪽

초록

Global economic uncertainty, low growth and business complexity have put firms at risk of survival. Enterprises pursue sustainable growth and innovation through strategic technology management, but they are suffering from a lack of information on TOD(technology opportunity discovery) and the absence of diversification strategy for new business. It is necessary to conduct a TOD to find promising industry and technology that are conditions for future companies. In addition, TOD of healthcare technologies using M&A(mergers and acquisitions) transactions data have not been reported yet. Therefore, this study proposes a new methodology for exploring technological opportunities using M&A transactions data in healthcare industry. First, we theoretically confirm whether all M&A transactions are related to promising areas. Second, we analyze the global M&A trends by a time series analysis of M&A transactions by sectors over the last 20 years. Third, the association analysis was conducted using the number of M&A transactions between sectors, industries, and healthcare technologies to determine the degree of M&As connection. As a result, the overall trends of promising industry and healthcare technology could be identified. Also, It is expected that it will be used effectively to establish sustainable management strategy, business diversification strategy and technology strategy (research and development portfolio strategy, technology road map) in the future through the exploration of technology opportunity using the M&A transactions data.

Abstract

Global economic uncertainty, low growth and business complexity have put firms at risk of survival. Enterprises pursue sustainable growth and innovation through strategic technology management, but they are suffering from a lack of information on TOD(technology opportunity discovery) and the absence of diversification strategy for new business. It is necessary to conduct a TOD to find promising industry and technology that are conditions for future companies. In addition, TOD of healthcare technologies using M&A(mergers and acquisitions) transactions data have not been reported yet. Therefore, this study proposes a new methodology for exploring technological opportunities using M&A transactions data in healthcare industry. First, we theoretically confirm whether all M&A transactions are related to promising areas. Second, we analyze the global M&A trends by a time series analysis of M&A transactions by sectors over the last 20 years. Third, the association analysis was conducted using the number of M&A transactions between sectors, industries, and healthcare technologies to determine the degree of M&As connection. As a result, the overall trends of promising industry and healthcare technology could be identified. Also, It is expected that it will be used effectively to establish sustainable management strategy, business diversification strategy and technology strategy (research and development portfolio strategy, technology road map) in the future through the exploration of technology opportunity using the M&A transactions data.

발행기관:
한국생물공학회
DOI:
http://dx.doi.org/10.7841/ksbbj.2021.36.1.1
분류:
생물공학

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인수합병 거래 데이터를 활용한 헬스케어 기술기회탐색 | KSBB Journal 2021 | AskLaw | 애스크로 AI