Path dependence in Operational Research—How the modeling process can influence the results
Author(s) -
Raimo P. Hämäläinen,
Tuomas J. Lahtinen
Publication year - 2016
Publication title -
operations research perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.697
H-Index - 16
ISSN - 2214-7160
DOI - 10.1016/j.orp.2016.03.001
Subject(s) - structuring , path (computing) , path dependence , process (computing) , computer science , path analysis (statistics) , outcome (game theory) , framing (construction) , mathematical optimization , operations research , industrial engineering , mathematics , engineering , machine learning , mathematical economics , microeconomics , economics , operating system , finance , structural engineering , programming language
In Operational Research practice there are almost always alternative paths that can be followed in the modeling and problem solving process. Path dependence refers to the impact of the path on the outcome of the process. The steps of the path include, e.g. forming the problem solving team, the framing and structuring of the problem, the choice of model, the order in which the different parts of the model are specified and solved, and the way in which data or preferences are collected. We identify and discuss seven possibly interacting origins or drivers of path dependence: systemic origins, learning, procedure, behavior, motivation, uncertainty, and external environment. We provide several ideas on how to cope with path dependence
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