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Article

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

by 1 and 2,*
1
School of Business, Sejong University, Seoul 05006, Korea
2
Department of IT Management, Hanshin University, Gyeonggi-do 18001, Korea
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(14), 5606; https://0-doi-org.brum.beds.ac.uk/10.3390/su12145606
Received: 15 June 2020 / Revised: 8 July 2020 / Accepted: 8 July 2020 / Published: 12 July 2020
(This article belongs to the Special Issue Big Data for Sustainable Anticipatory Computing)
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. View Full-Text
Keywords: M& A; IT sector; velocity; acceleration; promising areas M& A; IT sector; velocity; acceleration; promising areas
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MDPI and ACS Style

Choi, J.; Chang, Y.S. Development of a New Methodology to Identity Promising Technology Areas Using M&A Information. Sustainability 2020, 12, 5606. https://0-doi-org.brum.beds.ac.uk/10.3390/su12145606

AMA Style

Choi J, Chang YS. Development of a New Methodology to Identity Promising Technology Areas Using M&A Information. Sustainability. 2020; 12(14):5606. https://0-doi-org.brum.beds.ac.uk/10.3390/su12145606

Chicago/Turabian Style

Choi, Jinho, and Yong S. Chang 2020. "Development of a New Methodology to Identity Promising Technology Areas Using M&A Information" Sustainability 12, no. 14: 5606. https://0-doi-org.brum.beds.ac.uk/10.3390/su12145606

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