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Factors influencing Japanese auto suppliers' predictions about the future of new technologies - An exploratory study of electric vehicles
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Integrated Product Development.ORCID iD: 0000-0002-6024-7908
2017 (English)In: Futures: The journal of policy, planning and futures studies, ISSN 0016-3287, E-ISSN 1873-6378, Vol. 89, 38-59 p.Article in journal (Refereed) Published
Abstract [en]

This article investigates the effects of different characteristics of supplier-customer relationships in the Japanese automotive industry, and how these influence predictions about future technologies of a disruptive nature, such as Electric Vehicles (EVs). We conducted a survey of a broad set of suppliers in the Japanese automotive industry and another survey of suppliers registered with Toyota's two supplier associations. The data were used to analyse the influence of particular relationships and practices on information gathering about new technologies, preparations for R&D and production of new components, and predictions about new technologies. The study shows that suppliers' R&D intensity and the usage degree of the drawing-supplied parts system lead to predictions favouring the uptake of new technologies. Moreover, communication between automakers and suppliers and arm's-length relationships simultaneously lead to favourable views on the future of new technologies, especially with regard to EVs. Moreover, we find that Japanese-style cooperative relationships, arm's-length relationships, communication between automakers and suppliers, and communication among suppliers all lead to less favourable views on new technology uptake (in this case, EVs). We discuss the implications of these findings for research and practice, specifically for EVs.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 89, 38-59 p.
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:kth:diva-210502DOI: 10.1016/j.futures.2017.03.009ISI: 000402943300004Scopus ID: 2-s2.0-85018419879OAI: oai:DiVA.org:kth-210502DiVA: diva2:1119715
Note

QC 20170704

Available from: 2017-07-04 Created: 2017-07-04 Last updated: 2017-07-04Bibliographically approved

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Magnusson, Mats

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CiteExportLink to record
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Citation style
  • apa
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  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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