Conceptualising value creation in data-driven services: The case of vehicle data

•Vehicle data paves the way for new types of data-driven services.•We conducted interviews with eleven prominent experts in the automotive domain.•Our conceptual model connects ecosystem actors with value-adding data sharing processes.•Our model is useful to better understand value creation in vehic...

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Published in:International journal of information management Vol. 59; p. 102335
Main Authors: Kaiser, Christian, Stocker, Alexander, Viscusi, Gianluigi, Fellmann, Michael, Richter, Alexander
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01-08-2021
Elsevier Science Ltd
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Abstract •Vehicle data paves the way for new types of data-driven services.•We conducted interviews with eleven prominent experts in the automotive domain.•Our conceptual model connects ecosystem actors with value-adding data sharing processes.•Our model is useful to better understand value creation in vehicle data-driven services.•We validated our model by applying it to a real-life case. The creation of data-driven services generates new value streams, leading to the emergence of new actors and ultimately to new market configurations. In the automotive industry, the data generated by vehicles during use paves the way for new types of data-driven services. Based on interviews with eleven prominent experts of the Central European automotive industry, we identify key actors in establishing vehicle data-driven services and their data sharing relationships. We illustrate both in a conceptual multi-actor model for value creation in vehicle data-driven services and evaluate it in the context of six real-life cases. Our study adopts an ecosystem perspective and marks an important step towards the systematic design of a conceptual multi-actor model for vehicle data-driven value creation that can help to guide next research endeavours in data-driven service development.
AbstractList •Vehicle data paves the way for new types of data-driven services.•We conducted interviews with eleven prominent experts in the automotive domain.•Our conceptual model connects ecosystem actors with value-adding data sharing processes.•Our model is useful to better understand value creation in vehicle data-driven services.•We validated our model by applying it to a real-life case. The creation of data-driven services generates new value streams, leading to the emergence of new actors and ultimately to new market configurations. In the automotive industry, the data generated by vehicles during use paves the way for new types of data-driven services. Based on interviews with eleven prominent experts of the Central European automotive industry, we identify key actors in establishing vehicle data-driven services and their data sharing relationships. We illustrate both in a conceptual multi-actor model for value creation in vehicle data-driven services and evaluate it in the context of six real-life cases. Our study adopts an ecosystem perspective and marks an important step towards the systematic design of a conceptual multi-actor model for vehicle data-driven value creation that can help to guide next research endeavours in data-driven service development.
The creation of data-driven services generates new value streams, leading to the emergence of new actors and ultimately to new market configurations. In the automotive industry, the data generated by vehicles during use paves the way for new types of data-driven services. Based on interviews with eleven prominent experts of the Central European automotive industry, we identify key actors in establishing vehicle data-driven services and their data sharing relationships. We illustrate both in a conceptual multi-actor model for value creation in vehicle data-driven services and evaluate it in the context of six real-life cases. Our study adopts an ecosystem perspective and marks an important step towards the systematic design of a conceptual multi-actor model for vehicle data-driven value creation that can help to guide next research endeavours in data-driven service development.
ArticleNumber 102335
Author Kaiser, Christian
Richter, Alexander
Viscusi, Gianluigi
Fellmann, Michael
Stocker, Alexander
Author_xml – sequence: 1
  givenname: Christian
  surname: Kaiser
  fullname: Kaiser, Christian
  email: christian.kaiser@v2c2.at
  organization: Virtual Vehicle Research GmbH, Inffeldgasse 21a, 8010, Graz, Austria
– sequence: 2
  givenname: Alexander
  surname: Stocker
  fullname: Stocker, Alexander
  email: alexander.stocker@v2c2.at
  organization: Virtual Vehicle Research GmbH, Inffeldgasse 21a, 8010, Graz, Austria
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  givenname: Gianluigi
  surname: Viscusi
  fullname: Viscusi, Gianluigi
  email: g.viscusi@imperial.ac.uk
  organization: Imperial College Business School, South Kensington Campus, London SW7 2AZ, United Kingdom
– sequence: 4
  givenname: Michael
  surname: Fellmann
  fullname: Fellmann, Michael
  email: michael.fellmann@uni-rostock.de
  organization: University of Rostock, Albert-Einstein-Straße 22, Rostock, Germany
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  givenname: Alexander
  surname: Richter
  fullname: Richter, Alexander
  email: alex.richter@vuw.ac.nz
  organization: Wellington School of Business and Government, Rutherford House, 23 Lambton Quay, Wellington, New Zealand
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Keywords Value creation
Data-driven services
Data sharing
Conceptual model
Automotive
Language English
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SSID ssj0017052
Score 2.5063467
Snippet •Vehicle data paves the way for new types of data-driven services.•We conducted interviews with eleven prominent experts in the automotive domain.•Our...
The creation of data-driven services generates new value streams, leading to the emergence of new actors and ultimately to new market configurations. In the...
SourceID swepub
proquest
crossref
elsevier
SourceType Open Access Repository
Aggregation Database
Publisher
StartPage 102335
SubjectTerms Automobile industry
Automotive
Conceptual model
Data retrieval
Data sharing
Data-driven services
Telematics
Value creation
Title Conceptualising value creation in data-driven services: The case of vehicle data
URI https://dx.doi.org/10.1016/j.ijinfomgt.2021.102335
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Volume 59
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