Managerial Decision Support in the Post-COVID-19 Era: Towards Information-Based Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F21%3A00541273" target="_blank" >RIV/67985807:_____/21:00541273 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/21:10435789
Result on the web
<a href="https://www.igi-global.com/book/handbook-research-entrepreneurship-innovation-sustainability/256932" target="_blank" >https://www.igi-global.com/book/handbook-research-entrepreneurship-innovation-sustainability/256932</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4018/978-1-7998-6776-0.ch011" target="_blank" >10.4018/978-1-7998-6776-0.ch011</a>
Alternative languages
Result language
angličtina
Original language name
Managerial Decision Support in the Post-COVID-19 Era: Towards Information-Based Management
Original language description
The COVID-19 pandemic accelerated trends to digitalization and automation, which allow us to acquire massive datasets useful for managerial decision making. The expected increase of available data (including big data) will represent a potential for an increasing deployment of management decision support systems for more general and more complex tasks. Sophisticated decision support systems have been proposed already in the pre-pandemic times either to assist managers in specific decision-making processes or to perform the decision making fully automatically. Decision support systems are presented in this chapter as perspective artificial intelligence tools contributing to a deep transform of everyday management practices. Attention is paid here to their new development in the quickly transforming post-COVID-19 era and to their role under the post-pandemic conditions. As an original contribution, this chapter presents a vision of information-based management, which far exceed the rather limited pre-pandemic visions of evidence-based management focused primarily on critical thinking.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
<a href="/en/project/GA21-19311S" target="_blank" >GA21-19311S: Information Flow and Equilibrium in Financial Markets</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Handbook of Research on Entrepreneurship, Innovation, Sustainability, and ICTs in the Post-COVID-19 Era
ISBN
9781799867760
Number of pages of the result
17
Pages from-to
225-241
Number of pages of the book
451
Publisher name
IGI Global
Place of publication
Hershey
UT code for WoS chapter
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