Decision Engineering in the Context of Circular Economy: Practitioner Perspectives

This study investigates decision engineering in the context of the circular economy, aiming to explore practitioner perspectives on decision-making processes, tools and techniques, and challenges. The objective is to provide insights into how decision engineering can support the transition to a circular economy, enhancing sustainability and resource efficiency. Qualitative research methods were employed, utilizing semi-structured interviews with 22 practitioners involved in circular economy initiatives across various sectors. Purposive sampling ensured a diverse representation of perspectives. Data analysis was conducted using NVivo software to identify key themes and patterns in the practitioners' experiences and insights. The findings reveal several key themes. Decision-making processes include strategic planning, operational decisions, stakeholder engagement, feedback mechanisms, and resource allocation, all crucial for integrating circular economy principles into organizational strategies. Tools and techniques such as data analytics, modeling and simulation, lifecycle assessment, and decision support systems support informed decision-making. However, practitioners face significant challenges, including regulatory constraints, financial limitations, technological barriers, cultural resistance, information gaps, market dynamics, and resource limitations. Effective decision engineering is essential for navigating the complexities of the circular economy, facilitating sustainable practices, and achieving environmental goals. By understanding practitioner perspectives and addressing identified challenges, organizations can develop robust strategies to advance circular economy initiatives. This study underscores the importance of strategic planning, stakeholder engagement, and the use of advanced tools in fostering a circular economy that is resilient and resource-efficient.This study investigates decision engineering in the context of the circular economy, aiming to explore practitioner perspectives on decision-making processes, tools and techniques, and challenges. The objective is to provide insights into how decision engineering can support the transition to a circular economy, enhancing sustainability and resource efficiency. Qualitative research methods were employed, utilizing semi-structured interviews with 22 practitioners involved in circular economy initiatives across various sectors. Purposive sampling ensured a diverse representation of perspectives. Data analysis was conducted using NVivo software to identify key themes and patterns in the practitioners' experiences and insights. The findings reveal several key themes. Decision-making processes include strategic planning, operational decisions, stakeholder engagement, feedback mechanisms, and resource allocation, all crucial for integrating circular economy principles into organizational strategies. Tools and techniques such as data analytics, modeling and simulation, lifecycle assessment, and decision support systems support informed decision-making. However, practitioners face significant challenges, including regulatory constraints, financial limitations, technological barriers, cultural resistance, information gaps, market dynamics, and resource limitations. Effective decision engineering is essential for navigating the complexities of the circular economy, facilitating sustainable practices, and achieving environmental goals. By understanding practitioner perspectives and addressing identified challenges, organizations can develop robust strategies to advance circular economy initiatives. This study underscores the importance of strategic planning, stakeholder engagement, and the use of advanced tools in fostering a circular economy that is resilient and resource-efficient.

Decision Engineering in the Context of Circular Economy: Practitioner Perspectives Keywords:

Circular economy , decision engineering , sustainability , qualitative research , stakeholder engagement , challenges , tools and techniques