Abstract
The quantify-everything trend has reached the automotive sector while digitalization is a still the major driver of innovation. New digital services based on vehicle usage data are being created for different actors and purposes, e.g. for individual drivers who want to know about their own driving style and behavior or for fleet managers who want to find out about their fleet. As a side effect, a growing number of ICT start-ups from outside Europe have entered the automotive market to work on innovative use cases. Their digital services are based on the availability of vehicle data on a large scale. To better understand and capture this ongoing digital change in the automotive sector, we present an extended version of the Vehicle Data Value Chain (VDVC) originally published in Kaiser et al. (2019a) and use it as a model for better structuring, describing and testing digital services based on vehicle usage data. We classify digital services of two projects by using the VDVC in our paper, an intermodal mobility service and a pothole and driving style detection service. Thus, we evaluate the VDVC and show its general applicability and usefulness in a practical context.
Original language | English |
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Title of host publication | Web Information Systems and Technologies - 15th International Conference, WEBIST 2019, Revised Selected Papers |
Subtitle of host publication | WEBIST 2019 |
Editors | Alessandro Bozzon, Francisco José Domínguez Mayo, Joaquim Filipe |
Place of Publication | Cham |
Publisher | Springer |
Pages | 22-43 |
Number of pages | 22 |
ISBN (Electronic) | 978-3-030-61750-9 |
ISBN (Print) | 978-3-030-61749-3 |
DOIs | |
Publication status | Published - 1 Jan 2020 |
Event | 15th International Conference on Web Information Systems and Technologies - Wien, Austria Duration: 18 Sep 2019 → 20 Sep 2019 http://www.webist.org/ |
Publication series
Name | Lecture Notes in Business Information Processing |
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Volume | 399 |
Conference
Conference | 15th International Conference on Web Information Systems and Technologies |
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Abbreviated title | WEBIST 2019 |
Country | Austria |
City | Wien |
Period | 18/09/19 → 20/09/19 |
Internet address |
Keywords
- Big data
- Big Data Value Chain
- Connected services
- Crowdsourcing of data
- Digital services based on vehicle usage data
- Vehicle Data Value Chain
ASJC Scopus subject areas
- Information Systems and Management
- Information Systems
- Control and Systems Engineering
- Business and International Management
- Management Information Systems
- Modelling and Simulation