Data Analytics for Effective Decision-Making in Crises - Identifying Relevant Data Analytics Competencies for Automotive Procurement Departments
Journal
International Conference on Information Systems (ICIS)
Type
conference paper
Date Issued
2022-12-09
Author(s)
Research Team
IWI6
Abstract
Crises become the norm for organizations, as recent years have shown. Especially the automotive industry is still facing disruptive changes such as e-mobility, connected cars or autonomous driving. Disrupted supply chains, related production downtimes and associated financial losses are consequences. Procurement departments are the interface between internal and external stakeholders in supply chains, and therefore, the central authority for managing crises. In such situations, effective decision-making is essential. Positive effects of data analytics on decision-making were part of numerous research endeavors, as well as related data analytics competencies. We conducted semi-structured interviews with experienced experts about relevant data analytics competencies in procurement departments. We present an overview specifically for procurement departments and derive implications of these competencies on decision-making. As a result, we apply our findings to existing research from a theoretical perspective and support procurement leaders and their departments in facing current and future challenges from a practical perspective.
Language
English
Keywords
Data Analytics Competencies
Decision-Making
Procurement
HSG Classification
contribution to scientific community
Publisher place
Copenhagen, Denmark
Pages
17
Event Title
International Conference on Information Systems (ICIS)
Event Location
Copenhagen, Denmark
Event Date
09-12 Dec 2022
Subject(s)
Division(s)
Eprints ID
267534
File(s)![Thumbnail Image]()
open.access
Name
JML_889.pdf
Size
644.38 KB
Format
Adobe PDF
Checksum (MD5)
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