Managerial Decision Support in the Post-COVID-19 Era

Author:

Kalina Jan1ORCID

Affiliation:

1. Institute of Computer Science, The Czech Academy of Sciences, Czech Republic & Charles University, Faculty of Mathematics and Physics, Czech Republic

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.

Publisher

IGI Global

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Digitalization and Drivers of Innovative Behavior for a Smart Economy in the Post-COVID-19 Era;Digitalization as a Driver for Smart Economy in the Post-COVID-19 Era;2022-02-11

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