通过欧洲公司的LinkedIn个人资料,通过无监督机器学习探索可持续包装行业
Georgios Tsironis1, Victoria Krauter2, Konstantinos P Tsagarakis1
1School of Production Engineering and Management, Technical University of Crete, Chania, Greece.
Journal of environmental management
|January 15, 2026
概括
这项研究分析了可持续包装的欧洲公司. 机器学习揭示了公司将可持续性纳入运营,并将其用于品牌形象,特别是在化品和有机市场.
科学领域:
- 环境科学 环境科学
- 商业战略 商业战略
- 数据科学数据科学数据科学
背景情况:
- 对商品需求的不断增长增加了包装的使用,影响了废物和排放等环境因素.
- 可持续的生产和消费对于环境保护至关重要.
- 可持续包装行业是环境和商业战略研究的关键领域.
研究的目的:
- 分析可持续包装行业的欧洲公司如何描述其运营和品牌战略.
- 通过数据挖掘技术,确定可持续包装行业的关键主题和方法.
主要方法:
- 在欧洲调查了516个提到"可持续包装"的公司的LinkedIn个人资料.
- 在公司描述中应用了两个无监督机器学习方法:HDBSCAN和隐藏的迪里克莱特分配 (LDA).
- 分析了文本数据,以揭示企业沟通中关于可持续包装的专题模式.
主要成果:
- 在公司描述中确定了两个主要的主题集群.
- 第一个主题强调了可持续性在整个业务运营和产品开发中的整合.
- 第二个主题强调了对品牌形象的可持续性的战略使用,特别是在化品和有机产品市场.
结论:
- 欧洲可持续包装行业的公司强调运营可持续性和品牌差异化.
- 可持续性作为企业形象的核心元素被利用,尤其是在面向消费者的市场.
- 机器学习有效地确定了可持续包装行业中不同的战略方法.
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