Quantitative analysis finds reverse logistics improved in Ugandan plastic recycling through innovative technologies, suggesting structural dynamics matter.
Purpose This study aims to examine the role of reverse supply networks (RSN) and innovative technologies in enhancing reverse logistics (RL) implementation, underpinned by the Complex Adaptive Systems theoretical lens. Design/methodology/approach A cross-sectional quantitative research design was adopted, using data from 65 plastics recycling focal firms, representing 264 responses from RL practitioners. Data analysis used Partial Least Squares Structural Equation Modeling through SmartPLS to test established hypotheses. Findings The results reveal the multidimensional nature of the RSN and its significant role in RL implementation in plastics recycling industries. Specifically, supply base and formalization significantly influence RL implementation, while relations did not prove to be a significant predictor. In addition, innovative technologies mediate the relationship between the RSN and RL implementation. Research limitations/implications This study, focused on Uganda’s plastics recycling industry, may limit generalizability to other sectors or regions. Future research should explore paper, electronics or textile recycling to assess RSNs across industries and developing countries. The cross-sectional design restricts observing long-term dynamics, limiting insights into changes over time. Originality/value This study advances the application of complex adaptive systems theory in RL operations, offering a novel perspective on the structural dynamics of RSNs. By empirically examining their influence on RL implementation, this study contributes to global discourse by enriching theoretical understanding and offering practical implications for enhancing RL efficiency.
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Mbago et al. (2025) studied this question.
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