Premium
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom