Online Managerial Tools as Research Tools to Apply Artificial Management: Results of Research

Artificial intelligence (AI) can augment human intelligence in teamwork, however, it is still not clear how to implement artificial management. This rapid development of computer science gives opportunities to replace team managers with robots. However, it is still not possible to employ a robot in a managerial position. Therefore, the aim of this paper is to present a theoretical foundation for such an information system which could be widely used by human managers in their day-to-day work. At the same time, it could collect data on managerial work in order to implement artificial management. The research problem concerns the theoretical assumptions needed to design this solution. Two research questions arise from this research problem: (RQ1) What types of research methods should be used to collect data on managerial work? (RQ2) How to implement research methods into the managerial tools to make the managerial work automated? The research methods used in the paper are: literature studies, technical documentation of online managerial tools created by the author, and a long-term observation of human-managed teams. In Section 2 we present the theoretical foundation of research in management science which is the answer to the first research question (RQ1). Section 3 contains the theoretical assumption of the information system design which is the answer to the second research question (RQ2). In Section 4 we present examples of research conducted by the author as the practical use of answers to both research questions (RQ1 and RQ2). Section 5 includes conclusions on the use of the information system in artificial management. The main contribution of this paper is as follows: Firstly, to answer the first research question (RQ1) about the types of research methods which should be used to collect data on managerial work in order to make them automated. The answer is the mixed method as the most appropriate method to study what a manager really does. Secondly, the paper contains the answer to the second research question (RQ2) on ways of implementing research methods into the online managerial tools aimed at artificial management.

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Publication Details

Journal
Proceedings of the International Conference on AI Research.
Published
2024-12-04
DOI
https://doi.org/10.34190/icair.4.1.3190
Citations
2
Primary Topic
Digitalization and Economic Development in Agriculture
Type
article
Field-Weighted Citation Impact
1.11
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article

Online Managerial Tools as Research Tools to Apply Artificial Management: Results of Research

Olaf Flak
2 citations
Proceedings of the International Conference on AI Research.
Digitalization and Economic Development in Agriculture
1.11
article

Online Managerial Tools as Research Tools to Apply Artificial Management: Results of Research

Olaf Flak
article en
2 citations

Abstract

Artificial intelligence (AI) can augment human intelligence in teamwork, however, it is still not clear how to implement artificial management. This rapid development of computer science gives opportunities to replace team managers with robots. However, it is still not possible to employ a robot in a managerial position. Therefore, the aim of this paper is to present a theoretical foundation for such an information system which could be widely used by human managers in their day-to-day work. At the same time, it could collect data on managerial work in order to implement artificial management. The research problem concerns the theoretical assumptions needed to design this solution. Two research questions arise from this research problem: (RQ1) What types of research methods should be used to collect data on managerial work? (RQ2) How to implement research methods into the managerial tools to make the managerial work automated? The research methods used in the paper are: literature studies, technical documentation of online managerial tools created by the author, and a long-term observation of human-managed teams. In Section 2 we present the theoretical foundation of research in management science which is the answer to the first research question (RQ1). Section 3 contains the theoretical assumption of the information system design which is the answer to the second research question (RQ2). In Section 4 we present examples of research conducted by the author as the practical use of answers to both research questions (RQ1 and RQ2). Section 5 includes conclusions on the use of the information system in artificial management. The main contribution of this paper is as follows: Firstly, to answer the first research question (RQ1) about the types of research methods which should be used to collect data on managerial work in order to make them automated. The answer is the mixed method as the most appropriate method to study what a manager really does. Secondly, the paper contains the answer to the second research question (RQ2) on ways of implementing research methods into the online managerial tools aimed at artificial management.

Proceedings of the International Conference on AI Research.Vol. 4(1)
Jan Kochanowski University (PL)
Openalex Percentile: Top 14%
Digitalization and Economic Development in Agriculture
1.11
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