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Promoting corporate sustainability through sustainable resource management: A hybrid decision-making approach incorporating social media data

机译：通过可持续资源管理促进企业可持续性：融合社交媒体数据的混合决策方法

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摘要

Previous studies revealed triple bottom line cannot entirely cover the concept of corporate sustainability. This study thus uses sustainable resource management (SRM) to improve corporate sustainability (CS) performance considering the socio-environmental, socio-economical, and eco-efficiency aspects. In this study, the vague set (VS) theory and the technique for order preference by similarity to ideal solution (TOPSIS) method are integrated as a hybrid decision-making tool by which social media data can be transformed into entropy weights. The results indicate eco-efficiency and society should be prioritized to improve the corporate sustainability performance. Specifically, the aspects should be promoted through encouraging environmental innovation, redesigning consumers' offer, raising support of the institutions and policy measures, and organizing synergetic involvement. The contributions of this study are three-fold: (i) establishing a comprehensive framework for guiding firms make effective improvements; (ii) developing a hybrid VS-TOPSIS method to process the assessment data and social media information and address the interrelationships; (3) identifying the decisive SRM criteria to precisely guide the Chinese automobile industry towards CS under severe resource constraints.
机译：以前的研究揭示了三层底线不能完全涵盖企业可持续性的概念。因此，本研究采用可持续资源管理（SRM），以提高考虑社会环境，社会经济和生态效率方面的企业可持续性（CS）绩效。在本研究中，模糊集（VS）理论和通过相似性与理想解决方案（TOPSIS）方法的顺序偏好技术被整合为混合决策工具，通过该工具可以将社交媒体数据转换为熵权。结果表明，应优先考虑生态效率和社会，以改善企业可持续发展性能。具体而言，应通过鼓励环境创新，重新设计消费者的要约，提高机构和政策措施的支持，并组织协同作用。本研究的贡献是三倍：（i）为指导公司建立全面的框架，取得有效的改进; （ii）开发混合vs-topsis方法，以处理评估数据和社交媒体信息并解决相互关系; （3）确定决定性的SRM标准，以确保在严重的资源限制下对中国汽车行业迈向CS。

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