Digital Services Based on Vehicle Usage Data: The Underlying Vehicle Data Value Chain

Christian Kaiser*, Andreas Festl, Gernot Pucher, Michael Fellmann, Alexander Stocker

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationWeb Information Systems and Technologies - 15th International Conference, WEBIST 2019, Revised Selected Papers
Subtitle of host publicationWEBIST 2019
EditorsAlessandro Bozzon, Francisco José Domínguez Mayo, Joaquim Filipe
Place of PublicationCham
PublisherSpringer
Pages22-43
Number of pages22
ISBN (Electronic)978-3-030-61750-9
ISBN (Print)978-3-030-61749-3
DOIs
Publication statusPublished - 1 Jan 2020
Event15th International Conference on Web Information Systems and Technologies - Wien, Austria
Duration: 18 Sep 201920 Sep 2019
http://www.webist.org/

Publication series

NameLecture Notes in Business Information Processing
Volume399

Conference

Conference15th International Conference on Web Information Systems and Technologies
Abbreviated titleWEBIST 2019
CountryAustria
CityWien
Period18/09/1920/09/19
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

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