Project description
A closer look at employee interactions with AI leaders
Management and leadership have long been viewed as activities that only humans can perform. Yet, more and more workers worldwide are receiving instructions from AI managers. With such growing capabilities of AI, leadership tasks such as motivating and inspiring employees provided by AI might soon also become a reality. With the support of the Marie Skłodowska-Curie Actions programme, the EU-funded AIITL project will study the effects of AI leadership on employee performance and satisfaction. Drawing from psychological theories, AIITL will investigate how AI leaders affect employees across tasks and leadership styles. AIITL aims to conduct two empirical studies with more than a thousand employees. The findings will provide valuable insights into sustaining a high-performing and satisfied European workforce.
Objective
Millions of employees around the globe work for an AI manager that structures their tasks and monitors their performance. While companies hope that such AI managers will lead to substantial performance benefits, it is critical that AI transits from a bureaucratic manager to an inspiring, transformational leader if companies want employee performance and satisfaction to peak. To date, however, research on the consequences of AI leadership cannot give relevant insights because scholars have studied employees in hypothetical scenarios or simplistic environments that do not mirror the complex realities of contemporary workplaces. My goal within the Marie Skłodowska-Curie Fellowship is to tackle these problems by investigating interactions between employees and AI leaders from an interdependence theory view. Across two empirical studies with more than 1,400 employees, I will examine how AI leaders (programmed via a novel natural language processing tool) affect employees’ task performance and satisfaction when they really interact with AI leaders across interdependent tasks, different leadership styles, and work constellations. Given the rise of AI managers within Europe, this research will provide relevant scientific, practice, and policy insights aimed at sustaining a high-performing and satisfied European workforce of the future. I will accomplish these ambitious goals by combining my expertise with the profound knowledge of interdependence theory and longitudinal methods from Maastricht University’s scholars. In sum, this action and the foreseen two top-tier publications will substantially advance my research (both theory and methods) skills and extend my professional and practice network. Maastricht University is an ideal fit for this fellowship that will be a significant boost for my academic career and will provide a cornerstone for becoming a mature and renowned scientist in the field of AI leadership, in particular, and organizational behavior, in particular.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2021-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
6200 MD Maastricht
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.