工业共生平台用于协同效应识别及其最重要的数据点:系统性审查
Chrysanthi Akrivou1, Lucyna Łȩkawska-Andrinopoulou1, Georgios Tsimiklis1
1Institute of Communication and Computer Systems (ICCS), National Technical University of Athens, 9, Iroon Politechniou Str., Zografou Campus, Athens, 15773, Greece.
像工业共生 (IS) 平台这样的数字工具通过识别和匹配机会来促进合作. 这些平台的关键数据点包括协同效应识别需求和平台信息,以有效地推广IS.
科学领域:
- 环境科学 环境科学
- 工业生态学 工业生态学
- 信息系统信息系统信息系统
背景情况:
- 工业共生 (IS) 取决于工业剩余资源的企业间利用.
- 识别和匹配合作机会对于成功的IS至关重要.
- 数字工具,特别是IS平台,是这一过程的关键推动者.
结论:
- 该研究确定了工业共生平台的基本数据点.
- 这些数据点对于加强协同效应识别和促进IS至关重要.
- 通过全面数据支持的数字工具对于促进工业共生至关重要.
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