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Leveraging Applicable Business Models for IoT Enabled Service Solutions in the Downstream Automotive Supply Chain

Technological innovations have a highly disruptive nature and thus traditional industries, such as automotive, have to restructure themselves in order to remain relevant as well as exploit additional value opportunities. Car manufacturers are incorporating customers’ expectation of ubiquitous connectivity through ICT into their products, but have not added this strategy into their operations. Internet of things and Big Data can aid in improved efficiencies in collective supply chain management and information flow. This research was aimed at developing applicable business models that address the addition of connected service solutions into the downstream automotive supply chain. Based on empirical data collected from both qualitative and quantitative research, two applicable business models are suggested along with detailed value propositions for OEMs, logistics providers, car dealers, and third parties. The results show that in order for connectivity to become ubiquitous, the chain has to change from vertical to horizontal integration and apply a networked strategy. However, due to strong distrust among stakeholders, the entrant of a third neutral player is advised as the most probable solution. In any case, for IoT enabled connectivity to provide valuable time and cost reductions in operations all stakeholders will need to collaborate and be open to data exchange.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kth-170622
Date January 2014
CreatorsDeandres, Nicole
PublisherKTH, Skolan för datavetenskap och kommunikation (CSC)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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