Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/228940
Authors: 
Krol, Felix
Saeed, Muhammad Amad
Kersten, Wolfgang
Year of Publication: 
2020
Citation: 
[Editor:] Kersten, Wolfgang [Editor:] Blecker, Thorsten [Editor:] Ringle, Christian M. [Title:] Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 29 [ISBN:] 978-3-7531-2346-2 [Year:] 2020 [Pages:] 797-847
Abstract: 
Purpose: The aerospace supply chain is characterized by a high degree of small andmedium-sized suppliers. To stay competitive, suppliers are facing high pressures todigitalize their business but have limited resources available. Furthermore, aerospacesuppliers lack a framework to measure their current state of digitalization.Therefore, this paper provides a holistic digitalization KPI framework for manufacturingaerospace companies. Methodology: The framework is based on a top-down and bottom-up developmentapproach. Within the top-down approach, 42 digitalization maturity models are beinganalyzed to identify relevant dimensions. To reveal digitalization indicators, acomprehensive literature review is being used as a bottom-up approach. Indicatorsare then assigned to the sub-dimension. Finally, indicators are grouped to similar indicatorsand merged to digitalization KPI. Findings: The developed KPI framework encompasses 89 digitalization KPI amongnine dimensions: Strategy and Organizational Leadership, Governance and TransformationManagement, Digital Skills/Human Capital, Smart Product, Customer Focus,Smart Process/Operations, Digital Technology, Financial Focus, and Network and Security. Originality: The presented digitalization KPI framework provides a scientific foundationfor measuring the digitalization maturity level of aerospace companies.Therefore, maturity models and benchmarking tools can incorporate the developed(sub-) dimensions and KPI to measure and compare the digital readiness of aerospacecompanies as well as to derive guidance for areas of improvement.
Subjects: 
Logistics
Industry 4.0
Digitalization
Innovation
Supply Chain Management
Artificial Intelligence
Data Science
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by-sa/4.0/
Document Type: 
Conference Paper

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