Supplier Disruptions Survey (first round) — aggregated

DOI

The Supply Chain Disruptions Survey aims to capture companies' recent experiences and future expectations regarding supplier relationships. The survey was conducted in four countries – Austria, Denmark, Germany and Hungary – between mid-2023 and spring 2024. Medium-sized and large companies operating in different manufacturing industries were asked about various aspects of their relationship with their suppliers, in order to shed light on the input-output linkages between companies and their suppliers, to better understand the relevance of intangible assets alongside the classical tangible firm-to-firm links and the reactions to shocks along the GSCs. The first round of the Supply Chain Disruption Survey represented in this dataset was conducted as part of the EU-funded research project 'Rethinking Global Supply Chains: Measurement, Impact and Policy' (RETHINK-GSC), which captures the impact of knowledge flows and service inputs in global supply chains (GSCs). Update (December 2024): The updated dataset contains expanded data with additional survey responses from spring 2024, mostly from Germany, with a few responses from Denmark and from Austrian or Hungarian enterprises with a primary activity in non-manufacturing.

Identifier
DOI https://doi.org/10.22000/MXMCoyURFeCSdIbn
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.22000/MXMCoyURFeCSdIbn
Provenance
Creator Bisztray, Márta ORCID logo; Békés, Gábor ORCID logo; Charos, Alexandros; De Pirro, Amanda ORCID logo; Friesenbichler, Klaus ORCID logo; Koren, Miklós ORCID logo; Lengyel, Balázs ORCID logo; Meyer, Birgit ORCID logo
Publisher Centre for Economic and Regional Studies
Contributor RADAR
Publication Year 2024
Funding Reference European Commission https://ror.org/00k4n6c32 ROR Grant agreement ID: 101061123 https://cordis.europa.eu/project/id/101061123/de Horizon Europe
Rights Open Access; Creative Commons Attribution Non Commercial Share Alike 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
OpenAccess true
Representation
Resource Type Dataset
Format application/x-tar
Discipline Economics; Social and Behavioural Sciences
Temporal Coverage 2023-2024