From Linear to Circular: Overcoming Internal Organisational Obstacles to Reverse Logistics Adoption and Global Scaling in MNCs
Abstract
This thesis examines the internal managerial barriers and enablers influencing the adoption,
implementation, and scaling of ef icient reverse logistics (RL) practices within multinational
corporations (MNCs). Drawing on organisational change theory, stakeholder theory, and global
integration-local responsiveness framework, the study aims to generate actionable insights that
enhance both theoretical understanding and practical implementation of RL within the circular
economy. Based on qualitative data from semi-structured interviews with senior executives at seven
leading automotive MNCs across five countries, the findings reveal a paradigm shift: top management
commitment, once a major internal barrier, is now institutionalised and expected. Instead, bottlenecks
arise from the lack of coherent KPIs, gaps between strategic intent and operational decision-making,
and tensions between global standardisation and local adaptation for RL initiatives. Consequently,
key recommendations include the development of credible, comparable, and communicable KPIs,
closing the gap between strategy-making and decision-making, decentralising implementation
strategies to reflect local market conditions, and fostering cross-organisational learning. Nonetheless,
challenges remain in aligning stakeholders, resisting one-size-fits-all approaches, and designing
measurable, scalable KPIs. Thus, this thesis advances research on RL by providing frameworks,
understanding and recommendations to its scalability and operational efficiency.
Degree
Master 2-years
Other description
MSc in International Business and Trade
Collections
View/ Open
Date
2025-06-26Author
Bergman, August
Westh, Jonathan
Keywords
Reverse Logistics
Circular Economy
Sustainable Supply Chain Management
Multinational Corporations
Global Value Chains
Internal Management Barriers and Drivers
Stakeholder Theory
Organisational Change Theory
Global Integration & Local Responsiveness Framework
Key Performance Indicators
Series/Report no.
Master Degree Project 2025:3
Language
eng