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Value-added Technology Selection Model for Small and Medium Real Estate Developers in Thailand |
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| รหัสดีโอไอ | |
| Creator | Pathompong Charoensuk, Sittichai Naksukskul, Damrongsak Rinchumphu |
| Title | Value-added Technology Selection Model for Small and Medium Real Estate Developers in Thailand |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2563 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 11 |
| Journal No. | 16 |
| Page no. | 11A16A: 1-12 |
| Keyword | Technology selection, Real estate entrepreneur, Real estate developer, Value-added house, Gen-Y customer, Residential real estate project, Multiple-criteria decision-making (MCDM), Small and medium enterprises (SME), Ease of use, Consistency Ratio (CR), Analytic Hierarchy Process (AHP), Generation-Y consumers. |
| URL Website | http://TuEngr.com/Vol11_13.html |
| Website title | ITJEMAST V11(16) 2020 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | According to the Twelfth National Economic and the Social Development Plan and the Office of Small and Medium Enterprises Promotion, the Thailand Government's policies place importance on national economic development by enhancing innovative capability to strengthen domestic enterprises, as well as trying to stimulate greater use of technology to drive the national economy. This study focuses on technology selection for value-adding in residential real estate projects of small and medium real estate developers, which are grouped to the energy technology, health technology, and assistive technology. This is a qualitative study using the Analytic Hierarchy Process (AHP) to study the weighted scores of various factors and to recommend technology selection guidelines for value-adding for small and medium real estate developers. The results of this study showed that the weighted score of the Ease of Use factor is the highest score for technology selection for small and medium real estate developers. Meanwhile, the Initial Investment factor and Return on Investment factor are ranked as the second and third highest scores, respectively. In contrast, Efficiency, Specialist, and Material are ranked as the three lowest factors. Consequently, the results of this study could be applied as a technology selection tool to evaluate and select suitable technology for small and medium real estate developers. |
