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Impact of digital transformation on the automotive industry

Digital technologies are transforming the automotive industry and disrupting traditional business models. New business opportunities related to Industry 4.0 are emerging, so companies must adapt to the new environment. The study presents an application of fuzzy-set qualitative comparative analysis (...

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Detalles Bibliográficos
Autores principales: Llopis-Albert, Carlos, Rubio, Francisco, Valero, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543716/
https://www.ncbi.nlm.nih.gov/pubmed/33052150
http://dx.doi.org/10.1016/j.techfore.2020.120343
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author Llopis-Albert, Carlos
Rubio, Francisco
Valero, Francisco
author_facet Llopis-Albert, Carlos
Rubio, Francisco
Valero, Francisco
author_sort Llopis-Albert, Carlos
collection PubMed
description Digital technologies are transforming the automotive industry and disrupting traditional business models. New business opportunities related to Industry 4.0 are emerging, so companies must adapt to the new environment. The study presents an application of fuzzy-set qualitative comparative analysis (fsQCA) to analyze the future impact of digital transformation on business performance models and the different actors’ satisfaction. A wide range of aspects and actors derived from the digital transformation process in the automotive industry are considered. The study covers connected and autonomous driving, mobility as a service, digital information sources in car purchasing, big data, etc. The disruptive effect of the gradual introduction of electric vehicles into the market is also considered, which is boosted by environmental policies on climate change and directives for the potential use of renewable energy sources to power electric vehicles. On the other hand, the study analyses the impacts of digital transformation on the automotive industry from the point of view of different actors, ranging from automobile manufacturers, service providers, public transportation providers, and consumers to governments. The methodology has been successfully applied to a complex case study‐based empirical analysis. It presents a novel application of fsQCA to digital transformation in the automotive industry in Spain. The conclusions show that it is necessary to invest in adequate measures for adaptation to digital transformation, and manufacturers will end up having greater profits, productivity, and competitiveness. From the point of view of consumers, there will be access to more and better services and greater satisfaction with the required services.
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spelling pubmed-75437162020-10-09 Impact of digital transformation on the automotive industry Llopis-Albert, Carlos Rubio, Francisco Valero, Francisco Technol Forecast Soc Change Article Digital technologies are transforming the automotive industry and disrupting traditional business models. New business opportunities related to Industry 4.0 are emerging, so companies must adapt to the new environment. The study presents an application of fuzzy-set qualitative comparative analysis (fsQCA) to analyze the future impact of digital transformation on business performance models and the different actors’ satisfaction. A wide range of aspects and actors derived from the digital transformation process in the automotive industry are considered. The study covers connected and autonomous driving, mobility as a service, digital information sources in car purchasing, big data, etc. The disruptive effect of the gradual introduction of electric vehicles into the market is also considered, which is boosted by environmental policies on climate change and directives for the potential use of renewable energy sources to power electric vehicles. On the other hand, the study analyses the impacts of digital transformation on the automotive industry from the point of view of different actors, ranging from automobile manufacturers, service providers, public transportation providers, and consumers to governments. The methodology has been successfully applied to a complex case study‐based empirical analysis. It presents a novel application of fsQCA to digital transformation in the automotive industry in Spain. The conclusions show that it is necessary to invest in adequate measures for adaptation to digital transformation, and manufacturers will end up having greater profits, productivity, and competitiveness. From the point of view of consumers, there will be access to more and better services and greater satisfaction with the required services. Elsevier Inc. 2021-01 2020-10-08 /pmc/articles/PMC7543716/ /pubmed/33052150 http://dx.doi.org/10.1016/j.techfore.2020.120343 Text en © 2020 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Llopis-Albert, Carlos
Rubio, Francisco
Valero, Francisco
Impact of digital transformation on the automotive industry
title Impact of digital transformation on the automotive industry
title_full Impact of digital transformation on the automotive industry
title_fullStr Impact of digital transformation on the automotive industry
title_full_unstemmed Impact of digital transformation on the automotive industry
title_short Impact of digital transformation on the automotive industry
title_sort impact of digital transformation on the automotive industry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7543716/
https://www.ncbi.nlm.nih.gov/pubmed/33052150
http://dx.doi.org/10.1016/j.techfore.2020.120343
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