Prosumer: A new approach to conceptualisation
Bibliographic record
Abstract
The prosumer concept has become increasingly relevant in the current economy, necessitating the development of resilient and adaptive business models. Given the lack of a systematic framework for evaluating prosumers, the present study aimed to develop a framework of reference for assessing the roles and impacts of prosumers across various industries. Although this is not a systematic literature review, 2,500 papers were initially retrieved from the Web of Science and Scopus databases, and 67 were selected and used in the prosumer conceptualisation. CiteSpace software was used to map the prosumer literature stream. The content analysis informed the exploration of the origins of the prosumer concept and the development of a contemporary definition of this concept. Terms that relate to and/or overlap with the prosumer concept, as well as the nuances of prosumer engagement levels, were also analysed. Additionally, prosumers’ place in the archetypal sharing economy, as well as their limitations and challenges, were examined. Notably, this study proposes a tentative framework of reference for prosumer conceptualisation and opens up new areas for exploration via a theory-based agenda for future research. This research offers unique contributions to the prosumer literature, practice and other related works because it comprehensively encapsulates and summarises all relevant literature pertaining to the prosumer concept and establishes a transdisciplinary conceptualisation and framework of reference.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.016 | 0.012 |
| Science and technology studies | 0.004 | 0.030 |
| Scholarly communication | 0.018 | 0.031 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".