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Managerial Decision Support in the Post-COVID-19 Era: Towards Information-Based Management
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Author(s): Jan Kalina (Institute of Computer Science, The Czech Academy of Sciences, Czech Republic & Charles University, Faculty of Mathematics and Physics, Czech Republic)
Copyright: 2021
Pages: 17
Source title:
Handbook of Research on Entrepreneurship, Innovation, Sustainability, and ICTs in the Post-COVID-19 Era
Source Author(s)/Editor(s): Luisa Cagica Carvalho (Polytechnic Institute of Setubal, Portugal & CEFAGE, University of Évora, Portugal), Leonilde Reis (Polytechnic Institute of Setubal, Portugal)and Clara Silveira (Polytechnic Institute of Guarda, Portugal)
DOI: 10.4018/978-1-7998-6776-0.ch011
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Abstract
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.
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