I work as an Assistant Professor at the department of Technology, Human, and Institutional Behavior at the Faculty of Behavioural, Management, and Social Sciences. I study the social implications of intelligent technologies in the workplace, with a particular emphasis on work motivation, work practices, and collaboration.
I received a NWO Veni Grant to conduct a multi-year project on the implications of using robots in organizations. In the project "A robot as a colleague", I investigate individual experiences and strategies to optimally work with robots as well as social consequences of robot use in organizations.
My current research focuses on understanding the (unforeseen) sociocultural consequences of intelligent technologies in organizations. I investigate how work practices, organizational structures, and organizational cultures change when introducing new technologies. An important aspect of my research is to investigate how employees experience new technologies and how they actually use them. The interplay between technologies and employees' basic need-fulfillment of their needs for autonomy, competence, and relatedness in work environments is central to my research interests.
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Affiliated Study Programmes
Courses Academic Year 2022/2023
Courses Academic Year 2021/2022
Working Life in the Robot Age: Employees’ Experiences in Working with Robots (NWO Veni Grant)
As robots become more and more advanced and integrated into working life, it is important to understand their impact on employees. This project is a first critical step in addressing this challenge by investigating how employees integrate robots in their work and how working with robots is linked to fundamental processes of employee motivation and well-being. It will also examine the mutual shaping of human-robot collaborations and social practices in organizations (e.g., collaboration, communication).
Resilience towards Robotization: The Willingness, Opportunity, and Ability of Individuals to Prepare for Automation at the Workplace (ODISSEI LISS Data Grant, PI: Giedo Jansen, UT, with Mark Levels, ROA, Maastricht University).
With the rise of smart technology, artificial intelligence, robotics, and algorithms, many job tasks can be automated within the next decade, and it is increasingly important that humans upgrade their skills to stay employable. While current research predominantly focusses on aggregate labour market outcomes and occupational risks of automation (i.e. assessing which jobs are most vulnerable to automation), little is known about how individuals deal with or cope with the prospect of automation at the workplace. This research aims to examine the extent to which there are differences in the extent to which people in the Netherlands (1a) are interested in reskilling or upskilling to prepare for automation; (1b) have access to relevant types of education; and (1c) have the ability to engage successfully in reskilling or upskilling. Moreover, we aim to investigate whether these differences relate to (2a) the estimated risk of automation (2b) other labour market risks, and (2c) other existing social inequalities.