Multifaceted modelling of complex business enterprises

Chakraborty, Subrata and Mengersen, Kerrie and Fidge, Colin and Ma, Lin and Lassen, David (2015) Multifaceted modelling of complex business enterprises. PLoS One, 10 (8).

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Abstract

We formalise and present a new generic multifaceted complex system approach for modelling
complex business enterprises. Our method has a strong focus on integrating the various
data types available in an enterprise which represent the diverse perspectives of
various stakeholders. We explain the challenges faced and define a novel approach to converting
diverse data types into usable Bayesian probability forms. The data types that can
be integrated include historic data, survey data, and management planning data, expert
knowledge and incomplete data. The structural complexities of the complex system modelling
process, based on various decision contexts, are also explained along with a solution.
This new application of complex system models as a management tool for decision making
is demonstrated using a railway transport case study. The case study demonstrates how
the new approach can be utilised to develop a customised decision support model for a specific
enterprise. Various decision scenarios are also provided to illustrate the versatility of
the decision model at different phases of enterprise operations such as planning and
control.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright: © 2015 Chakraborty et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 26 Aug 2015 02:55
Last Modified: 24 Jan 2018 00:59
Uncontrolled Keywords: Bayesian Network, business model, decision support, complex system
Fields of Research : 01 Mathematical Sciences > 0104 Statistics > 010401 Applied Statistics
08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
01 Mathematical Sciences > 0102 Applied Mathematics > 010206 Operations Research
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970115 Expanding Knowledge in Commerce, Management, Tourism and Services
B Economic Development > 88 Transport > 8801 Ground Transport > 880103 Rail Passenger Movements
Identification Number or DOI: 10.1371/journal.pone.0134052
URI: http://eprints.usq.edu.au/id/eprint/27613

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