Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33134
Title: Managing resource dependencies in electric vehicle supply chains: a multi-tier case study
Authors: Kalaitzi, Dimitra 
Matopoulos, Aristides 
Clegg, Ben 
Major Field of Science: Engineering and Technology
Field Category: Mechanical Engineering
Issue Date: 13-Mar-2019
Source: Supply Chain Management, 2019, vol. 24, iss. 2
Volume: 24
Issue: 2
Journal: Supply Chain Management 
Abstract: Purpose: The purpose of this paper is to investigate dependencies that arise between companies during the ramp-up of production volume in the electric vehicle (EV) supply chain. Design/methodology/approach: An inter-company case study method has been used. Data were collected via tours of manufacturing plants, workshops and interviews from multiple tiers in a supply chain, namely, a niche EV manufacturer, as well as two of its tier-one suppliers and five of its tier-two suppliers. Findings: As production volumes increased, a more relational approach was found to be necessary in inter-company relationships. The authors’ research showed that key suppliers, in addition to providing the parts, pursued a supply chain orchestrator’s role by offering direct support and guidance to the niche EV manufacturer in designing and executing its development plans. Research limitations/implications: The resource dependence theory (RDT) is used to analyse and explain the changing dependencies throughout the planning and execution of production ramp-up. Practical implications: This study will help supply chain managers to better manage resource dependencies during production ramp-up. Originality/value: This study explores dependencies during the early stages of the production ramp-up process in the EV sector, which is in itself in the early stages of evolution. RDT is used for the first time in this context. This study has moved beyond a simple dyadic context, by providing empirical insights into the actions taken by an EV manufacturer and its suppliers, towards a multi-tier supply chain context, to better manage resource dependencies.
URI: https://hdl.handle.net/20.500.14279/33134
ISSN: 13598546
DOI: 10.1108/SCM-03-2018-0116
Rights: Attribution 4.0 International
Type: Article
Affiliation : Aston University 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

Files in This Item:
File Description SizeFormat
electric_vehicle_supply_chains.pdfopen access1.08 MBAdobe PDFView/Open
CORE Recommender
Show full item record

Page view(s)

17
Last Week
5
Last month
checked on Dec 3, 2024

Download(s)

8
checked on Dec 3, 2024

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons