A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport
Article
Article Title | A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport |
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Article Category | Article |
Authors | Chakraborty, Subrata (Author), Mengersen, Kerrie (Author), Fidge, Colin (Author), Ma, Lin (Author) and Lassen, David (Author) |
Journal Title | Decision Analytics |
Journal Citation | 3 (4), pp. 1-24 |
Number of Pages | 24 |
Year | 2016 |
Place of Publication | Germany |
Digital Object Identifier (DOI) | https://doi.org/10.1186/s40165-016-0021-2 |
Web Address (URL) | https://decisionanalyticsjournal.springeropen.com/articles/10.1186/s40165-016-0021-2 |
Abstract | 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 |
Keywords | Decision making, Bayesian modelling, Management tools, Customer satisfaction, Transportation |
ANZSRC Field of Research 2020 | 460902. Decision support and group support systems |
Byline Affiliations | School of Management and Enterprise |
Queensland University of Technology | |
Queensland Rail, Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3986/a-bayesian-network-based-customer-satisfaction-model-a-tool-for-management-decisions-in-railway-transport
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License: CC BY 4.0 | ||
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