The Circular Economy and Marketing: A Literature Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The focus on the circular economy (CE) is currently gaining momentum. In this paper, we examine how the objectives of the CE significantly overlap with those of the new generation of marketing, which emphasizes customer involvement in product design and responsible consumption. While the marketing function is essential for realizing the CE, there is still a lack of studies examining the intersection of these two critical concepts. Methodically, this paper aims to bridge this knowledge gap by conducting a systematic literature review that explains the CE-marketing nexus. In total, 45 studies were thoroughly analyzed, and findings indicate that the intersection between the CE and marketing spans four main research themes; (1) contribution of green marketing to the CE, (2) remanufacturing marketing, (3) product-service systems, and (4) neuromarketing tools. An agenda for future investigation of the CE and marketing concepts is suggested, followed by a brief conclusion. This review is valuable for scholars and managers, including those striving to have an increased understanding of the relationship between the CE and marketing. How to Cite:Rejeb, A., Rejeb, K., Keogh, J. G. (2022). The Circular Economy and Marketing: A Literature Review. Etikonomi, 21(1), 153-176. https://doi.org/10.15408/etk.v21i1.22216.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it