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Development of a New Methodology to Identity Promising Technology Areas Using M&A Information

Jinho Choi () and Yong Sik Chang ()
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Jinho Choi: School of Business, Sejong University, Seoul 05006, Korea
Yong Sik Chang: Department of IT Management, Hanshin University, Gyeonggi-do 18001, Korea

Sustainability, 2020, vol. 12, issue 14, 1-25

Abstract: In this paper, we suggest a new methodology to identify promising technology areas by analyzing merger and acquisition (M&A) information. First, we present decision models for estimating the velocity and acceleration of M&A transactions to identify promising areas based on M&A information. Second, we identify the promising technology areas with longitudinal analyses of M&As over the entire period. Third, cross-sectional analysis is proposed to determine which technology areas are more promising through a relative comparison among technology areas within the IT sector for a specific period. The main significance of our research is that it is a prior data-based analytic method based on M&A transaction information to identify the growth of industry and technology. We hope this study will provide insights for R&D (Research&Development) policymakers and investment firms as a new approach that complements previous methods in exploring promising industry or technology areas.

Keywords: M& A; IT sector; velocity; acceleration; promising areas (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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