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Potentials of big data for corporate environmental management: A case study from the German automotive industry
Journal of Industrial Ecology ( IF 4.9 ) Pub Date : 2020-09-03 , DOI: 10.1111/jiec.13062
Grischa Beier 1 , Julian Kiefer 2 , Jutta Knopf 2
Affiliation  

Integrating more sustainability into business processes is becoming increasingly important for companies. At the same time, they aim to collect and analyze large amounts of data (big data) to improve these processes. The potentials of big data for corporate environmental protection are hardly dealt with in the scientific literature. The main contribution of this paper is to identify potential big data use cases for corporate environmental management by using the example of the German automotive industry. For this purpose, expert interviews were conducted with corporate environmental managers which were evaluated by using a qualitative content analysis. In order to balance this environmental perspective and enhance it with data analytical expertise, these use cases were assessed by data analytics experts through a mixed method approach, in a subsequent process. The presentation of the identified five use cases and their critical reflection through data analytics experts are the key results of this paper.

中文翻译:

大数据在企业环境管理中的潜力:来自德国汽车行业的案例研究

将更多的可持续性融入业务流程对公司而言变得越来越重要。同时,他们旨在收集和分析大量数据(大数据)以改进这些流程。大数据在企业环境保护方面的潜力在科学文献中几乎没有涉及。本文的主要贡献是通过以德国汽车行业为例,确定企业环境管理的潜在大数据用例。为此,对企业环境管理人员进行了专家访谈,并通过定性内容分析进行了评估。为了平衡这种环境观点并通过数据分析专业知识增强它,这些用例由数据分析专家通过混合方法方法进行评估,在随后的过程中。确定的五个用例的介绍及其通过数据分析专家的批判性反思是本文的主要成果。
更新日期:2020-09-03
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