The impacts of Software-Defined Vehicles in make-or-buy strategic decision in OEMs: a comparative analysis between Volkswagen Group and Tesla Motors

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dc.contributor.advisor Zirpoli, Francesco it_IT
dc.contributor.author Stella, Diletta Gaia <1999> it_IT
dc.date.accessioned 2024-06-16 it_IT
dc.date.accessioned 2024-11-13T09:45:56Z
dc.date.issued 2024-07-10 it_IT
dc.identifier.uri http://hdl.handle.net/10579/27212
dc.description.abstract The profound digital transformation our society is facing has substantial impacts within the automotive industry balances. This is a particularly complex sector, where innovation underpins processes and products. This thesis aims to specifically analyze how the diffusion of a new generation of vehicles relying more and more on software, rather than hardware, can influence design logics among new product development processes. In doing so, the focus is posed on implications concerning make-or-buy strategic decisions implemented by companies operating in the automotive industry. This dissertation addresses a comparative analysis between strategic choices chronologically carried out by Volkswagen Group and Tesla Motors. While the former represents an historical player of the sector, the latter is a relatively new automaker standing out for its disruptive business model in terms of innovation management. This study analyzes and assess changes due to the spread of software-defined vehicles in OEMs' insourcing and outsourcing strategic decisions concerning software systems. The comparative analysis represents the means for addressing benefits and drawbacks of the different approaches. it_IT
dc.language.iso en it_IT
dc.publisher Università Ca' Foscari Venezia it_IT
dc.rights © Diletta Gaia Stella, 2024 it_IT
dc.title The impacts of Software-Defined Vehicles in make-or-buy strategic decision in OEMs: a comparative analysis between Volkswagen Group and Tesla Motors it_IT
dc.title.alternative The impacts of Software-Defined Vehicles in make-or-buy strategic decision in OEMs: a comparative analysis between Volkswagen Group and Tesla Motors it_IT
dc.type Master's Degree Thesis it_IT
dc.degree.name Management it_IT
dc.degree.level Laurea magistrale it_IT
dc.degree.grantor Venice School of Management it_IT
dc.description.academicyear sessione_estiva_2023-2024_appello_08-07-24 it_IT
dc.rights.accessrights closedAccess it_IT
dc.thesis.matricno 894687 it_IT
dc.subject.miur SECS-P/08 ECONOMIA E GESTIONE DELLE IMPRESE it_IT
dc.description.note it_IT
dc.degree.discipline it_IT
dc.contributor.co-advisor it_IT
dc.date.embargoend 10000-01-01
dc.provenance.upload Diletta Gaia Stella (894687@stud.unive.it), 2024-06-16 it_IT
dc.provenance.plagiarycheck Francesco Zirpoli (fzirpoli@unive.it), 2024-07-08 it_IT


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