Potentials of big data for corporate environmental management: A case study from the German automotive industry

  • 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.

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Metadaten
Author:Grischa BeierORCiD, Julian Kiefer, Jutta Knopf
URN:urn:nbn:de:kobv:eb1-opus-2340
DOI:https://doi.org/10.1111/jiec.13062
ISSN:1530-9290
Parent Title (English):Journal of Industrial Ecology
Publisher:Wiley
Document Type:Article
Language:English
Year of Completion:2020
Date of Publication (online):2022/05/24
Date of first Publication:2020/09/03
Publishing Institution:Hochschule für nachhaltige Entwicklung Eberswalde
Release Date:2022/05/24
Tag:Big Data; automotive sector; corporate environmental management; industrial ecology; resource management; technological change and innovation
Volume:26
Issue:1
Page Number:14
First Page:336
Last Page:349
Institutions / Departments:Fachbereich Nachhaltige Wirtschaft
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 65 Management, Öffentlichkeitsarbeit / 658 Allgemeines Management
open_access (DINI-Set):open_access
University Bibliography:University Bibliography
Peer-Review / Referiert
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International
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