Interaction model development in determining house prices by using goal programming

The buyer, the real estate developer, and the government are typically the three main parties engaged in housing projects. The interaction between these parties affects the housing market, particularly the prices of homes. The interaction has become more difficult because of the disparities in preferences between the parties. The ideal strategy for creating a fruitful partnership between these parties is still a mystery. As a result, this study has established a decision maker interaction model for getting mutual understanding on a housing project. Goal programming and a simulation method were used in this work to develop a successful interaction model. The average dwelling price that all the parties had mutually agreed upon was represented by the mean value of RM 169,878 and it is skewed between RM 85,000 and RM 350,000. The results of this study can be used by developers in Malaysia to design homes that are affordable and appealing to buyers, preventing problems with long-term unsold homes.

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Publication Details

Journal
International Journal of Operational Research
Published
2025-01-01
DOI
https://doi.org/10.1504/ijor.2025.146896
Primary Topic
Optimization and Mathematical Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

Interaction model development in determining house prices by using goal programming

Nerda Zura Zaibidi, Siti Aisyah Saupi, Adyda Ibrahim, Syuhaddah Saiddin
International Journal of Operational Research
Optimization and Mathematical Programming
article

Interaction model development in determining house prices by using goal programming

Nerda Zura Zaibidi, Siti Aisyah Saupi, Adyda Ibrahim, Syuhaddah Saiddin
article en

Abstract

The buyer, the real estate developer, and the government are typically the three main parties engaged in housing projects. The interaction between these parties affects the housing market, particularly the prices of homes. The interaction has become more difficult because of the disparities in preferences between the parties. The ideal strategy for creating a fruitful partnership between these parties is still a mystery. As a result, this study has established a decision maker interaction model for getting mutual understanding on a housing project. Goal programming and a simulation method were used in this work to develop a successful interaction model. The average dwelling price that all the parties had mutually agreed upon was represented by the mean value of RM 169,878 and it is skewed between RM 85,000 and RM 350,000. The results of this study can be used by developers in Malaysia to design homes that are affordable and appealing to buyers, preventing problems with long-term unsold homes.

International Journal of Operational ResearchVol. 53(2)
Northern University of Malaysia (MY)
Openalex Percentile: Top 83%
Optimization and Mathematical Programming
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Interaction model development in determining house prices by using goal programming — Nerda Zura Zaibidi, Siti Aisyah Saupi, et al. · International Journal of Operational Research (2025) | TGRS Research Map | TGRS