A wide literature on digital transformation in manufacturing and services has explored its impact on long term changes in labour demand and skills and on productivity and growth. A new perspective on the ongoing digital transformation has been prompted by Oecd to highlight specific metrics needed to assess its impact on the economy and society and to support innovat on policies. Drawing on these contributions, this paper aims to shed light on the impact of digital transformation on the reorganization and relocation of the various segments of the automotive supply chain. In particular, it will focus on the effects generated by different paces of adoption of digital technologies in this supply chain, with regard to both the various segments and the various sizes of companies, in different countries. The causes of this heterogeneity will be discussed and the implications for the full impact of the ongoing transformation will be considered in relation to industrial and innovation policy in Europe. The paper addresses the issue by reviewing empirical evidence on the automotive supply chain, which includes the most advanced manufacturing and service companies that are now adopting digital technologies. Evidence from case studies in the automotive industry in China, Germany, Italy and Japan will help in identifying the main challenges of digital transformation for European countries, which will involve a strongly interrelated supply chain both within and outside Europe.

Russo, M.. "Digital transformation in the automotive supply chain: China, Germany, Italy and Japan in a comparative perspective" Working paper, DEMB WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi - Università di Modena e Reggio Emilia, 2019. https://doi.org/10.25431/11380_1184316

Digital transformation in the automotive supply chain: China, Germany, Italy and Japan in a comparative perspective

Russo, M.
2019

Abstract

A wide literature on digital transformation in manufacturing and services has explored its impact on long term changes in labour demand and skills and on productivity and growth. A new perspective on the ongoing digital transformation has been prompted by Oecd to highlight specific metrics needed to assess its impact on the economy and society and to support innovat on policies. Drawing on these contributions, this paper aims to shed light on the impact of digital transformation on the reorganization and relocation of the various segments of the automotive supply chain. In particular, it will focus on the effects generated by different paces of adoption of digital technologies in this supply chain, with regard to both the various segments and the various sizes of companies, in different countries. The causes of this heterogeneity will be discussed and the implications for the full impact of the ongoing transformation will be considered in relation to industrial and innovation policy in Europe. The paper addresses the issue by reviewing empirical evidence on the automotive supply chain, which includes the most advanced manufacturing and service companies that are now adopting digital technologies. Evidence from case studies in the automotive industry in China, Germany, Italy and Japan will help in identifying the main challenges of digital transformation for European countries, which will involve a strongly interrelated supply chain both within and outside Europe.
2019
Luglio
http://merlino.unimo.it/campusone/web_dep/wpdemb/0151.pdf
Russo, M.
Russo, M.. "Digital transformation in the automotive supply chain: China, Germany, Italy and Japan in a comparative perspective" Working paper, DEMB WORKING PAPER SERIES, Dipartimento di Economia Marco Biagi - Università di Modena e Reggio Emilia, 2019. https://doi.org/10.25431/11380_1184316
File in questo prodotto:
File Dimensione Formato  
0151.pdf

Open access

Tipologia: Versione pubblicata dall'editore
Dimensione 204.69 kB
Formato Adobe PDF
204.69 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1184316
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact