Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/306675 
Erscheinungsjahr: 
2023
Quellenangabe: 
[Journal:] Information Systems Frontiers [ISSN:] 1572-9419 [Publisher:] Springer US [Place:] New York, NY [Year:] 2023 [Pages:] 1-19
Verlag: 
Springer US, New York, NY
Zusammenfassung: 
Uncertainty becomes the new normal for organizations worldwide. Many organizations are dependent on complex global supply chains. COVID-19, but also environmental disasters or the war in Ukraine, demonstrate the volatility of supply chains. Procurement departments are the central interface between internal and external stakeholders and must manage the supply chain stability what requires fast and accurate decision-making. External shocks and sudden disruptions of central supply chains illustrated that data analytics could not prevent disruptions, although sound research on competitive advantages and numerous investments should have enabled organizations to data-driven decision-making. Rather, it became transparent, that there are numerous data deficits in organizations. We did an interview-based study with 23 procurement and supply chain experts about relevant data sets and the status of its usability. We contribute to theory and practice by uncovering relevant aspects of data and provide theoretical propositions on how decision-making can be improved in automotive procurement departments.
Schlagwörter: 
Data analytics
Decision-making
Procurement departments
Supply chain
Automotive manufacturers
External shocks
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