Adaptive normative modelling: A case study in the public-transport domain

R. Christiaanse, P Griffioen, J Hulstijn, M Janssen (Editor), M Mäntymäki (Editor), J Hidders (Editor), B Klievink (Editor), W Lamersdorf (Editor), B van Loenen (Editor), A Zuiderwijk (Editor)

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)


Data analytics promises to detect behavioral patterns, which may be used to improve decision making. However, decisions need to motivated, and they are often motivated by models. In this paper we explore the interplay between data analytics and process modeling, specifically in normative settings. We look specifically at value nets, mathematical models of the flow of money and goods, as used in accounting. Such models can be used to analyze the proportions of various flows, such as resources consumed and products produced. Such analyses can be used in the planning and control cycle, for forecasting, setting a budget, testing and possibly adjusting the budget. In other words, it can be used for adaptive normative modeling. We look in particular at a case study of a provider of public transport services for school children. The case shows that the use of value nets for analysis of proportions is (i) feasible, and (ii) useful, in the sense that it provides valuable new insights about the revenue model.
Original languageEnglish
Title of host publicationProceedings of the 14th IFIP Conference on e-Business, e-Services, and e-Society
EditorsM. Janssen, M. Mäntymäki, J. Hidders, B. Klievink, W. Lamersdorf, B. Van Loenen, A. Zuiderwijk
Place of PublicationDelft
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783319250120
Publication statusPublished - 2015
Externally publishedYes

Publication series

NameLecture Notes in Computer Science


  • data analytics
  • business process modeling
  • normative systems


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