The 21 most practiced RE-s of circular economy from LinkedIn company profiles on a global scale

IF 5.4 Q1 ENVIRONMENTAL SCIENCES
Georgios Tsironis , Theodoros Daglis , Konstantinos P. Tsagarakis
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引用次数: 0

Abstract

LinkedIn is a social media networking platform that provides users with publicly available data related to user and company profiles, job advertisements, groups, events, services, etc. The main feedback on the organizational trends around the Circular Economy (CE) has been mostly based on corporate reports and survey analytics while there are huge data volumes available online. This article aims to deliver valuable insights regarding global CE business activities. Those insights arise from data extracted οut of 7533 companies’ profiles on LinkedIn, containing the term CE in any profile section. Some significant findings include the companies’ geographical distribution (headquarters), the different industry sectors, each company's number of employees, followers, and foundation year. The last shows a significant increase in new CE companies over the last decade. Additionally, our work focuses on companies’ specialties and descriptions, which provide each organization's business activities and specialization. Finally, we investigated the presence of already studied and new Re- strategies, complemented by their most important interactions which undeniably indicate the dominance of the reuse-reduce-recycle triptych.

Abstract Image

从 LinkedIn 全球公司简介看循环经济最实用的 21 个 RE-s
LinkedIn 是一个社交媒体网络平台,为用户提供与用户和公司简介、招聘广告、群组、活动、服务等相关的公开数据。有关循环经济(CE)组织趋势的主要反馈信息大多基于企业报告和调查分析,而在线数据量巨大。本文旨在提供有关全球 CE 业务活动的宝贵见解。这些洞察力来自 LinkedIn 上 7533 个公司简介中的数据,这些公司简介的任何部分都包含 CE 一词。一些重要发现包括公司的地理分布(总部)、不同的行业领域、每家公司的员工数量、关注者数量和成立年份。最后一项结果表明,在过去十年中,新成立的 CE 公司数量大幅增加。此外,我们的工作重点还放在公司的专业和描述上,它们提供了每个组织的业务活动和专业化程度。最后,我们对已研究过的和新的 Re- 战略进行了调查,并对其最重要的相互作用进行了补充,这无可否认地表明了再利用-再减少-再循环三部曲的主导地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Resources, conservation & recycling advances
Resources, conservation & recycling advances Environmental Science (General)
CiteScore
11.70
自引率
0.00%
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0
审稿时长
76 days
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