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

Rob Christiaanse; Paul Griffioen; Joris Hulstijn

doi:10.1007/978-3-319-25013-7_34

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

Rob Christiaanse, Paul Griffioen, Joris Hulstijn^*

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

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 language	English
Title of host publication	Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings
Editors	Winfried Lamersdorf, Jan Hidders, Marijn Janssen, Bram Klievink, Anneke Zuiderwijk, Matti Mäntymäki, Bastiaan van Loenen
Publisher	Springer Verlag,
Pages	423-434
Number of pages	12
ISBN (Print)	9783319250120
DOIs	https://doi.org/10.1007/978-3-319-25013-7_34
Publication status	Published - 2015
Externally published	Yes
Event	14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015 - Delft, Netherlands Duration: 13 Oct 2015 → 15 Oct 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9373
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015
Country/Territory	Netherlands
City	Delft
Period	13/10/15 → 15/10/15

Bibliographical note

Publisher Copyright:
© IFIP International Federation for Information Processing 2015.

Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.

Keywords

Business process modeling
Data analytics
Normative systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-25013-7_34

Persistent URL (handle)

Copy link address

Cite this

Christiaanse, R., Griffioen, P., & Hulstijn, J. (2015). Adaptive normative modelling: A case study in the public-transport domain. In W. Lamersdorf, J. Hidders, M. Janssen, B. Klievink, A. Zuiderwijk, M. Mäntymäki, & B. van Loenen (Eds.), Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings (pp. 423-434). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9373). Springer Verlag,. https://doi.org/10.1007/978-3-319-25013-7_34

Christiaanse, Rob ; Griffioen, Paul ; Hulstijn, Joris. / Adaptive normative modelling : A case study in the public-transport domain. Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings. editor / Winfried Lamersdorf ; Jan Hidders ; Marijn Janssen ; Bram Klievink ; Anneke Zuiderwijk ; Matti Mäntymäki ; Bastiaan van Loenen. Springer Verlag, 2015. pp. 423-434 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{85e95715d9ed4a0d872aec68a452984f,

title = "Adaptive normative modelling: A case study in the public-transport domain",

abstract = "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.",

keywords = "Business process modeling, Data analytics, Normative systems",

author = "Rob Christiaanse and Paul Griffioen and Joris Hulstijn",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2015. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015 ; Conference date: 13-10-2015 Through 15-10-2015",

year = "2015",

doi = "10.1007/978-3-319-25013-7_34",

language = "English",

isbn = "9783319250120",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag,",

pages = "423--434",

editor = "Winfried Lamersdorf and Jan Hidders and Marijn Janssen and Bram Klievink and Anneke Zuiderwijk and Matti M{\"a}ntym{\"a}ki and {van Loenen}, Bastiaan",

booktitle = "Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings",

}

Christiaanse, R, Griffioen, P & Hulstijn, J 2015, Adaptive normative modelling: A case study in the public-transport domain. in W Lamersdorf, J Hidders, M Janssen, B Klievink, A Zuiderwijk, M Mäntymäki & B van Loenen (eds), Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9373, Springer Verlag, pp. 423-434, 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Delft, Netherlands, 13/10/15. https://doi.org/10.1007/978-3-319-25013-7_34

Adaptive normative modelling: A case study in the public-transport domain. / Christiaanse, Rob; Griffioen, Paul; Hulstijn, Joris.
Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings. ed. / Winfried Lamersdorf; Jan Hidders; Marijn Janssen; Bram Klievink; Anneke Zuiderwijk; Matti Mäntymäki; Bastiaan van Loenen. Springer Verlag, 2015. p. 423-434 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9373).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Adaptive normative modelling

T2 - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015

AU - Christiaanse, Rob

AU - Griffioen, Paul

AU - Hulstijn, Joris

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Business process modeling

KW - Data analytics

KW - Normative systems

UR - http://www.scopus.com/inward/record.url?scp=84951823678&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84951823678&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-25013-7_34

DO - 10.1007/978-3-319-25013-7_34

M3 - Conference contribution

AN - SCOPUS:84951823678

SN - 9783319250120

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 423

EP - 434

BT - Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings

A2 - Lamersdorf, Winfried

A2 - Hidders, Jan

A2 - Janssen, Marijn

A2 - Klievink, Bram

A2 - Zuiderwijk, Anneke

A2 - Mäntymäki, Matti

A2 - van Loenen, Bastiaan

PB - Springer Verlag,

Y2 - 13 October 2015 through 15 October 2015

ER -

Christiaanse R, Griffioen P, Hulstijn J. Adaptive normative modelling: A case study in the public-transport domain. In Lamersdorf W, Hidders J, Janssen M, Klievink B, Zuiderwijk A, Mäntymäki M, van Loenen B, editors, Open and Big Data Management and Innovation - 14th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2015, Proceedings. Springer Verlag,. 2015. p. 423-434. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-25013-7_34

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Persistent URL (handle)

Other files and links

Fingerprint

Cite this