A Analysis
| Autor: | Yong Sik Chang, Nina Shin, Jinho Choi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Decision support system
Index (economics) Emerging technologies health care sector Geography Planning and Development TJ807-830 Technological convergence Management Monitoring Policy and Law TD194-195 050905 science studies Renewable energy sources emerging industry promising index sharpe ratio 0502 economics and business Mergers and acquisitions GE1-350 promising index Industrial organization mergers and acquisitions emerging technology Environmental effects of industries and plants Renewable Energy Sustainability and the Environment Sharpe ratio 05 social sciences Market trend Investment (macroeconomics) Environmental sciences Business 0509 other social sciences 050203 business & management |
| Zdroj: | Sustainability Volume 13 Issue 7 Sustainability, Vol 13, Iss 3644, p 3644 (2021) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su13073644 |
| Popis: | The existing approaches to identification of emerging technologies create a prominent opportunity for technology convergence and market growth potential. However, existing approaches either suffer from the time lag issue or have yet to explorethe assessment’s uncertainty and ambiguity. Based on a total of 14 years of mergers and acquisitions (M& A) activity data in the Health Care sector, the complex patterns between growth velocity and accelerating of M& A activities are analyzed with two quantitative indicators (Promising Index and Promising Index Sharpe Ratio) to identify emerging technological opportunities. The proposed integrative approach offers a mean to resolve the time lag issue, deal with market trend irregularity, and manage expectations of investors for emerging technology and industry. Specifically, this study aims to (i) provide a decision support system integrating M& A activity information for strategic investment planning and (ii) identify promising technologies in the Healthcare sector to manage the irregularities of market trend and investment outcome. This study is one of the first research that employs a prior data-based approach to delineate emerging technologies by analyzing the growth momentum properties of specific industry areas based on the M& A activity data. |
| Databáze: | OpenAIRE |
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