Proceedings of the 5th International Symposium on Social Science (ISSS 2019)

Taoism and Strategy Flexibility: Through the Institutional Perspective

Authors
Ru Guo, Xiaodong Qiu
Corresponding Author
Ru Guo
Available Online 18 March 2020.
DOI
10.2991/assehr.k.200312.067How to use a DOI?
Keywords
Taoism, strategy flexibility, institutional perspective
Abstract

The traditional strategic thinking is based on mechanical worldview, which believed that as long as sufficient information is available, a formula can be used to predict the future development of the enterprise. However, in the era of big data, social development is involved with rapid-changed information and make mechanical thought invalid. By analyzing Taoist philosophy, this paper argues that tolerating the uncertainty is also a way to achieve the strategy, since an ambiguous strategy would be more appropriate in nowadays. Besides, finding the way in Taoism will provide a philosophical foundation for strategic management in the future.

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 5th International Symposium on Social Science (ISSS 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
18 March 2020
ISBN
10.2991/assehr.k.200312.067
ISSN
2352-5398
DOI
10.2991/assehr.k.200312.067How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ru Guo
AU  - Xiaodong Qiu
PY  - 2020
DA  - 2020/03/18
TI  - Taoism and Strategy Flexibility: Through the Institutional Perspective
BT  - Proceedings of the 5th International Symposium on Social Science (ISSS 2019)
PB  - Atlantis Press
SP  - 375
EP  - 378
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200312.067
DO  - 10.2991/assehr.k.200312.067
ID  - Guo2020
ER  -