房地产企业的合作策略——以区域房地产协会企业为例

K. Priyatiningsih, A. Rahayu, D. Disman, L. Wibowo
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引用次数: 0

摘要

房地产企业的管理要有一个策略,在动态的环境条件下实现有效和高效的绩效。本研究的目的在于了解企业的合作策略,以回答技术变革的环境动态和企业的创新能力。本研究旨在从技术变革的影响作为外部因素,创新能力的影响作为内部因素来确定房地产公司可以构建的合作战略,因此本研究方法采用描述-解释的方法。因此,研究方法旨在描述和解释影响合作战略的技术变革和创新能力。研究工具通过多层次量表、访谈和对房地产行业协会成员房企分析单位的观察来收集数据。使用PLS-SEM进行数据处理,最小样本量为指向潜在变量的最大箭头的10倍,因此本研究的最小样本量为20个样本,但对于更精确的数据,将其扩大到32个样本。采用层次成分模型的研究模型得出,技术变革对企业合作战略的影响总量为0.617,而创新能力的影响总量为0.416。这一发现表明,房地产行业的技术变革显著且比创新能力更有影响力。技术变革对创新能力的影响也很显著,为0.458。技术变革和创新能力对竞争战略的影响比对合作战略的影响更大。最后,与适用于该领域的流行病法规相关,本研究在项目区域的覆盖范围和公司的注册地方面存在技术限制;然而,它是根据科学原理进行的。与以往的研究相比,本研究的新颖之处在于,除了考虑企业之外,尚未对房地产行业的合作策略进行深入研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coopetition Strategy in Property Business – A Case Study on Corporations of Regional Real Estate Association
The management of a real estate corporation wants to have a strategy to achieve effective and efficient performance with dynamic environmental conditions. The purpose of this study is to understand the strategy of coopetition, which is expected to answer the environmental dynamics of technological change and the corporation's ability to innovate. This study aims to determine the coopetition strategy that can be built in real estate companies from the influence of technological change as an external factor and the influence of innovation ability as an internal factor, so this research method uses a descriptive-explanation approach. Therefore, the research method is designed to describe and explain technological changes and innovation capabilities that affect the coopetition strategy. The research instrument was used to collect data through a multilevel scale, interviews, and observations from the analysis unit of property companies that are members of the real estate industry association. Data processing using PLS-SEM with a minimum sample of 10 times the maximum arrow pointing to the latent variable so that the minimum number of samples in this study was 20 samples, but for more precise data, it was enlarged to 32 samples. The research model using the hierarchical component model produces a total value of the effect on the coopetition strategy from a technological change of 0.617, while the innovation ability is 0.416. This finding shows that technological changes in the property industry are significant and more influential than innovation capabilities. Technological changes are also significant, with an effect of 0.458 on the ability to innovate. The coopetition strategy from the competitive aspect is most influenced by technological changes and innovation capabilities compared to the cooperative aspect. In the end, this research has technical limitations on the coverage of the project area and the domicile of the corporation in relation to the pandemic regulations that apply in the field; however, it is carried out according to scientific principles. The novelty of this research from previous research is that the strategy of coopetition in the property industry has not been studied in depth apart from taking into account the corporations.
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