Influence of Design on Real Estate Inventories by Members of Kenya Property Developers’ Association in Nairobi County

Fridah Karimi, N. Kirera, F. Odoyo
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Abstract

The purpose of this study was to determine the influence of design on Unsold New Houses held by members of the Kenya Property Developers Association (KPDA). The study adopted a positivist philosophy and descriptive correlational research design. The study population consisted of 4,085 unsold new houses, where a sample size of 364 units was drawn using a multistage random sampling technique. Property managers in this study were the units of observation; hence data was collected through a self-administered questionnaire. Descriptive statistics focused on relative frequency distribution, means, and standard deviation. Inferential statistics included ordinal logistic regression to test hypotheses and one-way ANOVA to assess the differences between group means. The generalized ordinal logistic regression study results revealed that the design of the unsold new house explains 36% of the duration it remained unsold (r2 = 0.36). The findings further indicated that having other bedrooms ensuite (β = -1.548, p < 0.05), having a domestic servant's quarter (β = -1.888, p < 0.05), and having a swimming pool within the property development (β = -2.510, p < 0.05) were significant predictors of the duration of unsold new houses. The study concluded that the design of the unsold new house significantly influences the duration the house remained unsold. The study recommends that property developers should incorporate a swimming pool and domestic servant quarters in their development as well as having other bedrooms ensuite for houses with more than one bedroom.
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肯尼亚房地产开发商协会成员对内罗毕县房地产库存设计的影响
本研究的目的是确定设计对肯尼亚房地产开发商协会(KPDA)成员持有的未售出新房的影响。本研究采用实证主义研究哲学和描述性相关研究设计。研究对象包括4085套未售出的新房,其中364套是采用多阶段随机抽样技术抽取的样本。本研究中的物业经理为观察单位;因此,数据是通过自我管理的问卷收集的。描述性统计侧重于相对频率分布、平均值和标准差。推论统计包括序数逻辑回归来检验假设和单因素方差分析来评估组间均值的差异。广义有序逻辑回归研究结果显示,未售出新房的设计解释了36%的未售出时间(r2 = 0.36)。研究结果进一步表明,是否有其他卧室套间(β = -1.548, p < 0.05),是否有家庭佣人宿舍(β = -1.888, p < 0.05),以及在房地产开发项目内是否有游泳池(β = -2.510, p < 0.05)是待售新房持续时间的显著预测因素。研究得出的结论是,未售出新房的设计显著影响了房子未售出的持续时间。该研究建议,房地产开发商应在其发展项目中加入游泳池和家庭佣人宿舍,并为有一间以上卧室的房屋配备其他卧室。
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