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Estimated Influence of Online Management Tools on Team Management Based on the Research with the Use of the System of Organizational Terms

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Intelligent Systems and Applications (IntelliSys 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1251))

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Abstract

The paper aims at presenting results of the research which allows estimating a level of this influence and which concerns team management. The research problem in the paper concerns a possibility of replacing human managers with robots in the field of team management. If the managerial actions should be recorded by the management tools in order to launch machine learning of robots, there comes a research question: to what extent does a managerial tool influence the team management launched by a manager? The research problem entails a hypothesis: (H1) the use of the online management tools creates much less primal organizational terms than all actions taken in human-computer interaction and (H2) the use of the online management tools changes an order of managerial actions in team management. The paper contains theoretical foundations of human-computer interaction research (Sect. 2), theoretical foundations of the system of organizational terms (Sect. 3), research results (Sect. 4) and conclusions (Sect. 5).

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Author information

Authors and Affiliations

  1. University of Silesia in Katowice, ul. Bankowa 12, 40-007, Katowice, Poland

    Olaf Flak

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  1. Olaf Flak
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Correspondence to Olaf Flak .

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Editors and Affiliations

  1. Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Flak, O. (2021). Estimated Influence of Online Management Tools on Team Management Based on the Research with the Use of the System of Organizational Terms. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol 1251. Springer, Cham. https://doi.org/10.1007/978-3-030-55187-2_6

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