Modeling methods for strategy formulation in a turbulent environment

Standard

Modeling methods for strategy formulation in a turbulent environment. / Gavrilova, Tatiana ; Kubelskiy, Miroslav ; Kudryavtsev, Dmitry; Grinberg, Elvira.

In: Strategic Change, Vol. 27, No. 4, 01.07.2018, p. 369-377.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{c3fbb66604a245d68db5a137d0357b26,

title = "Modeling methods for strategy formulation in a turbulent environment",

abstract = "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.",

keywords = "industry, information systems, enterprise architectures, WOS, SCOPUS, WOS, SCOPUS",

author = "Tatiana Gavrilova and Miroslav Kubelskiy and Dmitry Kudryavtsev and Elvira Grinberg",

note = "Modeling methods for strategy formulation in a turbulent environment / T. Gavrilova, M. Kubelskiy, D. Kudryavtsev, E. Grinberg // Strategic Change. – 2018. - Volume 27, Issue 4. – P. 369-377.",

year = "2018",

month = jul,

day = "1",

doi = "10.1002/jsc.2209",

language = "English",

volume = "27",

pages = "369--377",

journal = "Strategic Change",

issn = "1086-1718",

publisher = "Wiley-Blackwell",

number = "4",

}

RIS

TY - JOUR

T1 - Modeling methods for strategy formulation in a turbulent environment

AU - Gavrilova, Tatiana

AU - Kubelskiy, Miroslav

AU - Kudryavtsev, Dmitry

AU - Grinberg, Elvira

N1 - Modeling methods for strategy formulation in a turbulent environment / T. Gavrilova, M. Kubelskiy, D. Kudryavtsev, E. Grinberg // Strategic Change. – 2018. - Volume 27, Issue 4. – P. 369-377.

PY - 2018/7/1

Y1 - 2018/7/1

N2 - 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.

AB - 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.

KW - industry

KW - information systems

KW - enterprise architectures

KW - WOS

KW - SCOPUS

KW - WOS

KW - SCOPUS

UR - http://www.scopus.com/inward/record.url?scp=85052140493&partnerID=8YFLogxK

U2 - 10.1002/jsc.2209

DO - 10.1002/jsc.2209

M3 - Article

AN - SCOPUS:85052140493

VL - 27

SP - 369

EP - 377

JO - Strategic Change

JF - Strategic Change

SN - 1086-1718

IS - 4

ER -

ID: 32862383