• Description:

    In the era of smart industry, where advanced technologies and data-driven approaches are revolutionizing traditional processes, digitally-enabled food sharing platforms have emerged as innovative solutions to address sustainability challenges within the food sector. These platforms leverage the principles of Industry 4.0, such as interoperability, real-time capability, and data-driven innovation, to enhance efficiency and reduce food waste. By integrating smart technologies, food sharing platforms not only optimize resource use but also promote sustainable consumption patterns within the circular economy. This PhD position offers an exciting opportunity to explore the rebound effects within these innovative platforms, ensuring that these digitally-enabled sharing platforms fulfill their promise of reducing food waste and supporting sustainable consumption patterns in the circular economy while also addressing and mitigating potential negative outcomes.

    More specifically, this PhD project aims to investigate the dynamics of the rebound effect within digitally-enabled food sharing platforms, such as Too Good To Go and Olio, which have emerged to prevent food waste, and in that way, support the transition towards a circular economy. The primary goal of this project is to analyze the mechanisms of food sharing platforms from a business model perspective by means of systems thinking, develop a comprehensive understanding of the market formation for these platforms, and analyze the potential rebound effect linked to them (e.g., increasing overall production and consumption due to greater availability and access to surplus food). The successful candidate is expected to build a robust system dynamics model to simulate and predict these potential side effects. In this regard, the research will provide insights into how food sharing platforms can be managed to maximize their potential for effective food waste prevention and resource optimization while minimizing or mitigating the rebound effect.

    The PhD position is funded by the Sectorplan Techniek II, and the candidate will perform the research in an international team within the Innovation, Technology Entrepreneurship, & Marketing (ITEM) group of the Department of Industrial Engineering & Innovation Sciences (IE&IS). The research will be concluded with a PhD thesis. The supervisory team will consist of Dr. Bob Walrave and Dr. Zahra Shams Esfandabadi (contact person).


    • You have a Master’s degree in System Dynamics, Industrial Engineering, Innovation Management, Strategic Management, Economics, or a related discipline.
    •  You have affinity and experience with System Dynamics modeling and simulation.
    •  You have experience with or interest in the sharing economy, digital platforms, and sustainability.
    • You have strong analytical skills and demonstrated research competencies for performing qualitative and quantitative research.
    • You have the ability to work independently and as part of a multidisciplinary team.
    • You have the ability to navigate and manage complex, multi-stakeholder settings.
    • You like to take initiative, and you are able to work on a challenging topic that has both basic and applied research aspects.
    • You have excellent social, communication, and organization skills to work effectively in a university and industry setting.
    • Your verbal and written communication skills are excellent, as is your proficiency in English.



  • Fields

    • Economics

    • Engineering

  • Qualifications

    • Master

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