System of Organizational Terms as a Methodological Concept in Replacing Human Managers with Robots

Flak, Olaf

doi:10.1007/978-3-030-12385-7_36

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…This is even more relevant for practice, as team flow is highly related to team effectiveness – including team performance and team satisfaction ( Peifer and Wolters, 2021 ). Such a machine learning system could complement existing online management tools (e.g., TransistorsHead.com ) that are already used to record team members’ actions in virtual environments ( Flak, 2013 , 2019 ; Flak et al, 2017 ) and could be incorporated in a more holistic, artificial team management tool ( Flak, 2020 ). It was found that declarations of team management processes based on memory are highly imprecise and subjective as compared to the objective parameters recorded by online management tools ( Flak and Pyszka, 2013 ).…”

Section: Discussionmentioning

confidence: 99%

The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and Promotion

et al. 2021

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More and more teams are collaborating virtually across the globe, and the COVID-19 pandemic has further encouraged the dissemination of virtual teamwork. However, there are challenges for virtual teams – such as reduced informal communication – with implications for team effectiveness. Team flow is a concept with high potential for promoting team effectiveness, however its measurement and promotion are challenging. Traditional team flow measurements rely on self-report questionnaires that require interrupting the team process. Approaches in artificial intelligence, i.e., machine learning, offer methods to identify an algorithm based on behavioral and sensor data that is able to identify team flow and its dynamics over time without interrupting the process. Thus, in this article we present an approach to identify team flow in virtual teams, using machine learning methods. First of all, based on a literature review, we provide a model of team flow characteristics, composed of characteristics that are shared with individual flow and characteristics that are unique for team flow. It is argued that those characteristics that are unique for team flow are represented by the concept of collective communication. Based on that, we present physiological and behavioral correlates of team flow which are suitable – but not limited to – being assessed in virtual teams and which can be used as input data for a machine learning system to assess team flow in real time. Finally, we suggest interventions to support team flow that can be implemented in real time, in virtual environments and controlled by artificial intelligence. This article thus contributes to finding indicators and dynamics of team flow in virtual teams, to stimulate future research and to promote team effectiveness.

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Section: Discussionmentioning

confidence: 99%

The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and Promotion

et al. 2021

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“…It is not surprising that it has proven challenging to develop robots that can function effectively as managers when we are still struggling to develop a comprehensive and accurate theory regarding what it is that makes some human beings (but not others) great managers (see, e.g., Flak 2019). As a result, in recent years, scholars have still largely continued to focus their research on how artificial intelligence is leading to situations in which "employees collaborate with, rather than merely control, the technology in use" (Snow et al 2017); exploration of how AI might supervise, manage, and control human workers is still in its earliest stages.…”

Section: From Robots As "Teammates" To Robots As "Supervisors"mentioning

confidence: 99%

The Empowerment of Artificial Intelligence in Post-Digital Organizations: Exploring Human Interactions with Supervisory AI

Gladden

Fortuna

Modliński

2022

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Technology evolves together with humans. Across industrial revolutions, its role has evolved from that of a simple tool used by humans to that of intelligent decision-maker and teammate. In the post-digital era where ongoing advances in artificial intelligence are widely visible, the question arises regarding the extent to which technology will be “upgraded” into roles previously filled by human supervisors, thereby replacing persons in managerial positions. This text aims to delineate how the organizational role of technology has been transformed across decades and the forms that it currently takes within companies, with an eye to the future. We draw on posthuman managerial literature and known cases of organizations where some forms of supervisory artificial intelligence are already used. The text is conceptual-reflective by nature; it seeks to initiate a discussion on the many challenges that humanity will face in connection with the deployment of empowered posthuman agents in companies.

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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

Flak

2020

Advances in Intelligent Systems and Computing

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System of Organizational Terms as a Methodological Concept in Replacing Human Managers with Robots

Cited by 5 publications

References 30 publications

The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and Promotion

The Symphony of Team Flow in Virtual Teams. Using Artificial Intelligence for Its Recognition and Promotion

The Empowerment of Artificial Intelligence in Post-Digital Organizations: Exploring Human Interactions with Supervisory AI

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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