Vietnamese real estate corporations’ performance using the hybrid model of data envelopment analysis and grey system theory
Real estate is believed to grow even stronger in the next few years in Vietnam, so this study is conducted to closely monitor market changes and provide updated findings about this field. However, with such an asset and capital-intensive industry, it is necessary for investors understanding companie...
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Veröffentlicht in: | Neural computing & applications 2021-12, Vol.33 (24), p.17209-17222 |
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description | Real estate is believed to grow even stronger in the next few years in Vietnam, so this study is conducted to closely monitor market changes and provide updated findings about this field. However, with such an asset and capital-intensive industry, it is necessary for investors understanding companies' operation efficiency besides their stocks indicators. The paper looks into operation of real estate corporation with highest market capitalization and ranks their performance efficiency using the data envelopment analysis. This study gives a better “past–present–future” insights for decision makers. The findings indicate that the real estate market will continue its upward trend in the next few years. For the policymakers, this study will help short-term development strategies. For companies with low forecasting shown by grey forecasting, they need to apply new projects and methods in their operations and business model to make more progress in the future. In the view of the investors, this research can be used as a source of information in business assessments and investment decisions. |
doi_str_mv | 10.1007/s00521-021-06311-0 |
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However, with such an asset and capital-intensive industry, it is necessary for investors understanding companies' operation efficiency besides their stocks indicators. The paper looks into operation of real estate corporation with highest market capitalization and ranks their performance efficiency using the data envelopment analysis. This study gives a better “past–present–future” insights for decision makers. The findings indicate that the real estate market will continue its upward trend in the next few years. For the policymakers, this study will help short-term development strategies. For companies with low forecasting shown by grey forecasting, they need to apply new projects and methods in their operations and business model to make more progress in the future. 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In the view of the investors, this research can be used as a source of information in business assessments and investment decisions.</description><subject>Artificial Intelligence</subject><subject>Computational Biology/Bioinformatics</subject><subject>Computational Science and Engineering</subject><subject>Computer Science</subject><subject>Data analysis</subject><subject>Data envelopment analysis</subject><subject>Data Mining and Knowledge Discovery</subject><subject>Forecasting</subject><subject>Grey prediction</subject><subject>Image Processing and Computer Vision</subject><subject>Mathematical models</subject><subject>Original Article</subject><subject>Probability and Statistics in Computer Science</subject><subject>Real estate</subject><subject>System theory</subject><issn>0941-0643</issn><issn>1433-3058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9UE1LxDAQDaLg-vEHPAU8VydN0o-jLH7Bghf1GtJkutulbWqSFXoQ_Bv-PX-JLSt48_BmBua9x8wj5ILBFQPIrwOATFkCMzLOpnpAFkxwnnCQxSFZQCnmleDH5CSELQCIrJAL8vHaYOx1hwGpR91SDFFHpMb5wXkdG9eH788vOqCvne90b5DuQtOvadwg3YyVbyztnMWWuppaHTXF_h1bN3TYR6p73Y6hCdNg6drjSMMYInaz2vnxjBzVug14_ttPycvd7fPyIVk93T8ub1aJ4ayMic3TqjSYGpbXlSgKWaItRC2ySjBdygwFkxzS2hZVWRhRp6yymURtUg6V4Jafksu97-Dd2256UW3dzk-3BZXKkuciEyWbWOmeZbwLwWOtBt902o-KgZpjVvuYFcyYY1YwifheFCZyv0b_Z_2P6gfRd4Oh</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Nguyen, Nhu-Ty</creator><creator>Le, Van-Anh Bui</creator><creator>Tran, Thanh-Tuyen</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X5</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>K6~</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><orcidid>https://orcid.org/0000-0003-3679-8846</orcidid></search><sort><creationdate>20211201</creationdate><title>Vietnamese real estate corporations’ performance using the hybrid model of data envelopment analysis and grey system theory</title><author>Nguyen, Nhu-Ty ; 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subjects | Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data analysis Data envelopment analysis Data Mining and Knowledge Discovery Forecasting Grey prediction Image Processing and Computer Vision Mathematical models Original Article Probability and Statistics in Computer Science Real estate System theory |
title | Vietnamese real estate corporations’ performance using the hybrid model of data envelopment analysis and grey system theory |
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