 Potentials of big data for corporate environmental management: A case study from the German automotive industryGrischa Beier, Julian Kiefer and Jutta Knopf Journal of Industrial Ecology, 2022, vol. 26, issue 1, 336-349 Abstract: 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. Date: 2022 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:inecol:v:26:y:2022:i:1:p:336-349 Ordering information: This journal article can be ordered from Access Statistics for this article Journal of Industrial Ecology is currently edited by Reid Lifset More articles in Journal of Industrial Ecology from Yale University |
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