Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/43001
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChakraborty, Subrataen
dc.contributor.authorMengersen, Kerrieen
dc.contributor.authorFidge, Colinen
dc.contributor.authorMa, Linen
dc.contributor.authorLassen, Daviden
dc.date.accessioned2022-02-21T03:02:02Z-
dc.date.available2022-02-21T03:02:02Z-
dc.date.issued2016-
dc.identifier.citationDecision Analytics, v.3, p. 1-24en
dc.identifier.issn2193-8636en
dc.identifier.urihttps://hdl.handle.net/1959.11/43001-
dc.description.abstract<p>We formalise and present an innovative general approach for developing complex system models from survey data by applying Bayesian Networks. The challenges and approaches to converting survey data into usable probability forms are explained and a general approach for integrating expert knowledge (judgements) into Bayesian complex system models is presented. The structural complexities of the Bayesian complex system modelling process, based on various decision contexts, are also explained along with a solution. A novel application of Bayesian complex system models as a management tool for decision making is demonstrated using a railway transport case study. Customer satisfaction, which is a Key Performance Indicator in public transport management, is modelled using data from customer surveys conducted by Queensland Rail, Australia.</p>en
dc.languageenen
dc.publisherSpringerOpenen
dc.relation.ispartofDecision Analyticsen
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleA Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transporten
dc.typeJournal Articleen
dc.identifier.doi10.1186/s40165-016-0021-2en
dcterms.accessRightsUNE Greenen
local.contributor.firstnameSubrataen
local.contributor.firstnameKerrieen
local.contributor.firstnameColinen
local.contributor.firstnameLinen
local.contributor.firstnameDaviden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailschakra3@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeGermanyen
local.identifier.runningnumber4en
local.format.startpage1en
local.format.endpage24en
local.peerreviewedYesen
local.identifier.volume3en
local.title.subtitlea tool for management decisions in railway transporten
local.access.fulltextYesen
local.contributor.lastnameChakrabortyen
local.contributor.lastnameMengersenen
local.contributor.lastnameFidgeen
local.contributor.lastnameMaen
local.contributor.lastnameLassenen
dc.identifier.staffune-id:schakra3en
local.profile.orcid0000-0002-0102-5424en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/43001en
local.date.onlineversion2016-09-12-
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleA Bayesian Network-based customer satisfaction modelen
local.relation.fundingsourcenoteThis paper was developed within the CRC for Infrastructure and Engineering Asset Management, established and supported under the Australian Government's Cooperative Research Centres Programme. The authors gratefully acknowledge the financial support provided by the CRC.en
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorChakraborty, Subrataen
local.search.authorMengersen, Kerrieen
local.search.authorFidge, Colinen
local.search.authorMa, Linen
local.search.authorLassen, Daviden
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/26e8f035-c337-4e03-a7ca-038116b39ed8en
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.available2016en
local.year.published2016en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/26e8f035-c337-4e03-a7ca-038116b39ed8en
local.fileurl.openpublishedhttps://rune.une.edu.au/web/retrieve/26e8f035-c337-4e03-a7ca-038116b39ed8en
local.subject.for2020460199 Applied computing not elsewhere classifieden
local.subject.for2020460902 Decision support and group support systemsen
local.subject.for2020460209 Planning and decision makingen
local.subject.seo2020280115 Expanding knowledge in the information and computing sciencesen
Appears in Collections:Journal Article
School of Science and Technology
Files in This Item:
2 files
File Description SizeFormat 
openpublished/ABayesian2016JournalArticle.pdfPublished Version6.38 MBAdobe PDF
Download Adobe
View/Open
Show simple item record

Page view(s)

908
checked on Mar 7, 2023

Download(s)

6
checked on Mar 7, 2023
Google Media

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons