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Country Selection Model for Sustainable Construction Businesses Using Hybrid of Objective and Subjective Information

机译:主客观信息相结合的可持续建设企业国别选择模型

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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.
机译:对于国际企业和学术界来说,一个重要的问题是选择要扩展的国家,以实现企业的可持续性。这项研究使用客观和主观信息为可持续建筑企业开发了一个国家选择模型。客观信息包括与25年中32个国家中的国家风险和项目绩效相关的14个变量。该混合模型使用基于LinPreRa的模糊层次分析法,将行业专家的主观权重应用于客观信息。与经验丰富的国家中基于纯粹客观信息的模型相比,混合模型可以更准确地选择国家。有趣的是,在没有经验的国家中,混合模型仅以主观意见提供了一些不同的预测,这意味着专家意见并不总是可靠的。此外,还使用了来自顶级国际公司的五名专家的反馈来验证模型的完整性,有效性,通用性和适用性。该模型有望帮助决策者选择更好的候选国家,从而实现可持续的商业成功。

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