Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies
This study evaluates the profitability and marketability efficiencies of digital firms ranked in Forbes’ list of top companies by using a two-stage network data envelopment analysis (DEA) model with multiplicative efficiency aggregation under the second-order cone programming (SOCP) and examines the...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/2722914 |
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| _version_ | 1832563066475118592 |
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| author | Fang Chen Kao Thanh Nhan Dinh Anh Thi Truc Nguyen |
| author_facet | Fang Chen Kao Thanh Nhan Dinh Anh Thi Truc Nguyen |
| author_sort | Fang Chen Kao |
| collection | DOAJ |
| description | This study evaluates the profitability and marketability efficiencies of digital firms ranked in Forbes’ list of top companies by using a two-stage network data envelopment analysis (DEA) model with multiplicative efficiency aggregation under the second-order cone programming (SOCP) and examines the respective impacts of the 1995–2001 dot-com bubble and the 2007–2009 global financial crisis on the companies’ efficiencies by applying impulse response function (IRF) analysis. The data of our 49 sampled companies are derived from the Compustat database. The covered period is 1999–2018. These results present the stable and increasing improvement of profitability and marketability efficiencies; in addition, two crisis events have no significant impact on the performance of digital firms. This research is supposed to offer a reasonable and objective evaluation model to measure the performance of digital firms, providing the managers and investors a reference for making their decision. |
| format | Article |
| id | doaj-art-0488389cf142431680d916b70b133a5a |
| institution | Kabale University |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-0488389cf142431680d916b70b133a5a2025-02-03T01:21:04ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/2722914Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top CompaniesFang Chen Kao0Thanh Nhan Dinh1Anh Thi Truc Nguyen2Department of Business AdministrationDepartment of Accounting-FinanceDepartment of Business AdministrationThis study evaluates the profitability and marketability efficiencies of digital firms ranked in Forbes’ list of top companies by using a two-stage network data envelopment analysis (DEA) model with multiplicative efficiency aggregation under the second-order cone programming (SOCP) and examines the respective impacts of the 1995–2001 dot-com bubble and the 2007–2009 global financial crisis on the companies’ efficiencies by applying impulse response function (IRF) analysis. The data of our 49 sampled companies are derived from the Compustat database. The covered period is 1999–2018. These results present the stable and increasing improvement of profitability and marketability efficiencies; in addition, two crisis events have no significant impact on the performance of digital firms. This research is supposed to offer a reasonable and objective evaluation model to measure the performance of digital firms, providing the managers and investors a reference for making their decision.http://dx.doi.org/10.1155/2022/2722914 |
| spellingShingle | Fang Chen Kao Thanh Nhan Dinh Anh Thi Truc Nguyen Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies Discrete Dynamics in Nature and Society |
| title | Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies |
| title_full | Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies |
| title_fullStr | Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies |
| title_full_unstemmed | Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies |
| title_short | Evaluation Model and Decision Analysis of Digital Firms Ranked in Forbes’ Top Companies |
| title_sort | evaluation model and decision analysis of digital firms ranked in forbes top companies |
| url | http://dx.doi.org/10.1155/2022/2722914 |
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