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

Authors

  • Olaf Flak Jan Kochanowski University of Kielce

DOI:

https://doi.org/10.34190/icair.4.1.3190

Keywords:

artificial management, artificial intelligence, information system, research methods, managerial work

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.

Author Biography

Olaf Flak, Jan Kochanowski University of Kielce

Olaf Flak (PhD, engineer)

An associate professor in management sciences, an electronics engineer and a business trainer. He has always been interested in robotics, and for the past 15 years he has been involved in the search for a way to construct an artificial manager. He is the creator of online managerial tools on the TransistorsHead.com platform, aimed at monitoring manager’s performance and determining their behavior patterns, and then automating them and replacing the human manager with an artificial manager. He writes a blog ArtificialManagers.com on team management automation and artificial management. He trains how to use managerial techniques and tools in team and project management as well as how to use them to increase self-efficiency as a manager.

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Published

2024-12-04