Tehila Kalagy

Senior Academic

Optimizing environmental awareness interventions for reducing single-use plastic tableware

a network-based policy design framework

Purpose – The widespread use of Single-Use Plastic Tableware (SUPT) poses significant environmental and health risks, highlighting the need for more effective and efficiently designed policy interventions. This study examines whether targeted awareness strategies can improve reusable-tableware adoption compared with uniform, population-wide interventions. Design/methodology/approach – An evolutionary simulation integrating an extended Theory of Planned Behavior (TPB) framework with four theoretical social-network structures was developed. Three intervention models delivering comparable overall effort were compared: a baseline uniform intervention, a static targeted intervention, and a sequential (variable) targeted intervention. Adoption dynamics, equilibrium levels, and convergence speed were evaluated across network configurations. Findings – The uniform full-population intervention resulted in 83.1% reusable-tableware adoption at equilibrium. In contrast, the sequential targeted strategy, which targeted only 80% of the population, increased adoption to 91.9% while reaching equilibrium substantially faster and maintaining comparable overall intervention effort. Sequential targeting generally outperformed alternative strategies across network structures, although its effectiveness varied with network configuration. Research limitations/implications – The findings are based on a simulation incorporating empirically calibrated behavioral parameters and theoretical social-network structures rather than direct empirical field testing. Future research should validate the framework using observed campaign data and examine its applicability across different environmental behaviors, cultural settings, and policy contexts. Practical implications – Environmental managers can improve campaign efficiency by allocating awareness resources sequentially to behaviorally distinct consumer segments rather than uniformly across the population. Sequential intervention sequencing may accelerate behavioral diffusion while reducing the resources required to achieve high adoption levels. Originality/value – This study integrates behavioral theory, intervention sequencing, and social-network diffusion to compare static and sequential (variable) targeting strategies. It demonstrates how sequential resource allocation can provide a decision-support framework for designing more efficient awareness-based environmental policies.

Publication language English
Pages 1-24
Journal Management of Environmental Quality

Keywords

Environmental management
Plastic waste reduction
Policy intervention design
Social networks
Sustainable consumption
Targeted awareness strategies

ASJC Scopus subject areas

General Biochemistry, Genetics and Molecular Biology
Management, Monitoring, Policy and Law
Access to Document
10.1108/MEQ-03-2026-0142
Other files and links
Link to publication in Scopus