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Record W4387401432 · doi:10.1108/ejm-06-2023-0454

The impact of communication and proximity on citizens’ sustainable disposal of e-waste

2023· article· en· W4387401432 on OpenAlexaff
Diletta Acuti, Linda Lemarié, Giampaolo Viglia

Bibliographic record

VenueEuropean Journal of Marketing · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsBusinessSustainabilityIntervention (counseling)Social acceptanceEnvironmental economicsEnvironmental planningMarketingEconomicsEnvironmental science

Abstract

fetched live from OpenAlex

Purpose The purpose of this study is to demonstrate how decision-makers can enhance citizens’ sustainable disposal of e-waste through bin proximity and ad hoc communication. Specifically, the authors discuss a two-year research project that took place in Northern Italy, where the authors documented the number of products disposed of sustainably in four towns. Design/methodology/approach The project involved five main groups of stakeholders: i) four municipalities, ii) one social purpose organisation employing people with disabilities, (i.e. Andromeda), iii) one provider of bins (i.e. PubliCittà), iv) another social purpose organisation entity (i.e. Fondazione CRT) and v) the University of Portsmouth. After conducting three online pilot tests to confirm expectations of this study regarding how to enhance citizens’ sustainable disposal of e-waste, the authors have implemented the field pilot programme in a small municipality and successively in other three towns. Finally, the authors measured the impact of the programme on the actual recycling rate of citizens in the three target municipalities. Findings The authors found that the positioning of drop-off bins in such a way as to reduce the distance from as many households as possible, along with the use of communication that facilitates the understanding of information related to sustainable disposal schemes, can improve the sustainable behaviour of citizens. The sustainable disposal of exhausted batteries after the intervention improved by 135% on average in the three municipalities that adopted the disposal scheme (Saluggia, San Benigno Canavese and Santhiá). The disposal rate of toners and electronics increased by 204.0% and 318.75% (San Benigno Canavese) and 138.7% and 85.4% (Santhiá), respectively. Research limitations/implications The authors believe it would be cautious to consider potential differences in terms of recycling cultures and facilities before implementing the programme in other countries. Practical implications The authors’ contribution shows decision-makers how to effectively design disposal schemes to enhance citizens' sustainable behaviour. The authors demonstrate how the thoughtful and responsible use of marketing levers can affect environmental sustainability and impact social development. Social implications This paper has an actual impact on society by changing citizens’ behaviour, reducing harm to the environment and human well-being and supporting the inclusion of disadvantaged people in sustainability-oriented programmes. Originality/value The structured and equitable engagement of scholars with multiple stakeholders can lead to the co-creation of societal value and knowledge and improve the well-being of multiple stakeholders. The collaboration between academics and practitioners enables the definition of effective strategies by observing the actual behaviour of individuals (i.e. citizens) and offers a direct and measurable impact on society. The involvement of social purpose organisations reinforces the shared primary aim of achieving measurable social and environmental impact.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.250
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes1
Has abstractyes

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