Change search
ReferencesLink to record
Permanent link

Direct link
Leveraging Applicable Business Models for IoT Enabled Service Solutions in the Downstream Automotive Supply Chain
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

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.

Place, publisher, year, edition, pages
2014. , 70 p.
National Category
Media and Communication Technology
URN: urn:nbn:se:kth:diva-170622OAI: diva2:839243
Available from: 2015-07-02 Created: 2015-07-02 Last updated: 2015-07-02Bibliographically approved

Open Access in DiVA

fulltext(2037 kB)119 downloads
File information
File name FULLTEXT01.pdfFile size 2037 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
School of Computer Science and Communication (CSC)
Media and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 119 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 249 hits
ReferencesLink to record
Permanent link

Direct link