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Modeling methods for strategy formulation in a turbulent environment
Author(s) -
Gavrilova Tatiana,
Kubelskiy Miroslav,
Kudryavtsev Dmitry,
Grinberg Elvira
Publication year - 2018
Publication title -
strategic change
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.527
H-Index - 16
eISSN - 1099-1697
pISSN - 1086-1718
DOI - 10.1002/jsc.2209
Subject(s) - variety (cybernetics) , relevance (law) , computer science , process (computing) , set (abstract data type) , management science , knowledge management , industrial engineering , process management , data science , artificial intelligence , engineering , political science , law , programming language , operating system
The relevance of classical strategizing methods decreases in the era of a rapidly changing world, but this set of methods can be expanded through a variety of flexible modeling techniques from other fields. Operations research, enterprise modeling, knowledge engineering, and artificial intelligence have potential to enrich strategizing process. These disciplines have generated a large number of supporting methods. We provide a classification of the modeling methods by the degree of formalization and propose a conceptual framework for the method choice.