Industry 4.0 technologies in the purchasing process
Purpose: The aim of the study is to explore the possible practical impact of big data/business intelligence and Internet of Things on the purchasing process of premium automotive manufacturers, and to evaluate its theoretical impact with a transaction cost economics approach. Design/methodology/approach: An exploratory multiple-case study was carried out, using qualitative content analysis and cross-case synthesis. Findings: Collaborative platforms and a new purchaser role were found to impact the entire process. In the strategic purchasing 4.0 process, co-creation of specifications, automated prequalification, and parameter-based negotiations are some expected changes. The operative purchasing 4.0 process is shaped by, for example, interactive call-offs. Transaction cost is expected to decrease by reduced uncertainty and supplier specificity, as well as by lowered information search, negotiation, and monitoring costs. Research limitations/implications: The description of a potential purchasing 4.0 process for premium automotive manufacturers is given. Practical implications: Premium automotive manufacturers can develop strategies to push the existing standards of purchasing. Suppliers can create scenarios to allow for future compliance at the purchasing–sales interface. Social implications: New technologies' effects on the workforce are considered. Originality/value: No identified study focused on the impact of Industry 4.0 technologies on the purchasing process of premium automotive manufacturers.
Year of publication: |
2020
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Authors: | Gottge, Simon ; Menzel, Torben ; Forslund, Helena |
Published in: |
Industrial Management & Data Systems. - Emerald, ISSN 0263-5577, ZDB-ID 2002327-3. - Vol. 120.2020, 4 (23.02.), p. 730-748
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Publisher: |
Emerald |
Saved in:
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