A Bayesian network estimation of the service–profit chain for transport service satisfaction

A Bayesian network estimation of the service–profit chain for transport service satisfaction

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Article ID: iaor2009505
Country: United States
Volume: 35
Issue: 4
Start Page Number: 665
End Page Number: 689
Publication Date: Oct 2005
Journal: Decision Sciences
Authors: , , ,
Keywords: decision theory, supply & supply chains
Abstract:

Bayesian network methodology is used to model key linkages of the service–profit chain within the context of transportation service satisfaction. Bayesian networks offer some advantages for implementing managerially focused models over other statistical techniques designed primarily for evaluating theoretical models. These advantages are (1) providing a causal explanation using observable variables within a single multivariate model, (2) analysis of nonlinear relationships contained in ordinal measurements, (3) accommodation of branching patterns that occur in data collection, and (4) the ability to conduct probabilistic inference for prediction and diagnostics with an output metric that can be understood by managers and academics.

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