@inproceedings{ReiterMuellerGreschuchnaetal.2019,
  author    = {Joachim Reiter and Andrea M{\"u}ller and Larissa Greschuchna and Uwe Hartmann and Michael Daniel Schatz},
  title     = {Next Level Service Performance - Intelligent Order Assistants in Automotive After Market},
  series = {HCI in Business, Government and Organizations. Information Systems and Analytics},
  volume    = {LNCS 11589},
  editor    = {Fiona Fui-Hoon Nah and Keng Siau},
  publisher = {Springer},
  address   = {Heidelberg},
  isbn      = {978-3-030-22338-0 (eBook)},
  doi       = {10.1007/978-3-030-22338-0\_9},
  pages     = {114 -- 125},
  year      = {2019},
  abstract  = {A car is only useful, when it runs properly – but keeping a car it running is getting more and more complex. Car service providers need a deep knowledge about technical details of the different car models. On the other hand car producers try to keep this information in their ownership. Digital data collection takes place every second on the car´s product life cycle and is stored on the car producers´ servers. The contribution of this paper is three-fold: we will provide an overview of the current concepts of intelligent order assistant technologies (I). This corpus is used to come to a more precise description of the specific service performance aspects (II). Finally, a representative empirical study with German motor mechanics will help to evaluate the wishes and needs regarding an intelligent order assistant in the garage (III).},
  language  = {en}
}