| Title |
Country Selection Model for Sustainable Construction Businesses Using Hybrid of Objective and Subjective Information |
| ID_Doc |
34105 |
| Authors |
Lee, KW; Jung, W; Han, SH |
| Title |
Country Selection Model for Sustainable Construction Businesses Using Hybrid of Objective and Subjective Information |
| Year |
2017 |
| Published |
Sustainability, 9, 5 |
| DOI |
10.3390/su9050800 |
| Abstract |
An important issue for international businesses and academia is selecting countries in which to expand in order to achieve entrepreneurial sustainability. This study develops a country selection model for sustainable construction businesses using both objective and subjective information. The objective information consists of 14 variables related to country risk and project performance in 32 countries over 25 years. This hybrid model applies subjective weighting from industrial experts to objective information using a fuzzy LinPreRa-based Analytic Hierarchy Process. The hybrid model yields a more accurate country selection compared to a purely objective information-based model in experienced countries. Interestingly, the hybrid model provides some different predictions with only subjective opinions in unexperienced countries, which implies that expert opinion is not always reliable. In addition, feedback from five experts in top international companies is used to validate the model's completeness, effectiveness, generality, and applicability. The model is expected to aid decision makers in selecting better candidate countries that lead to sustainable business success. |
| Author Keywords |
sustainable construction business; country selection; decision support model; fuzzy approach; hybrid model |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000404127800125 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/9/5/800/pdf?version=1494500152
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