Toward a service ecosystem perspective at the base of the pyramid
Bibliographic record
Abstract
Purpose – The purpose of this paper is to combine service-dominant logic premises with ecosystem characteristics in the base of the pyramid (BoP) environment, aiming to establish the foundations of a new service ecosystem framework for BoP contexts. Design/methodology/approach – This conceptual paper is developed by connecting service logic with an ecosystem perspective, developing theoretical propositions for sustainable service ecosystems at the BoP, and identifying future research direction using this new framework. Findings – The paper first highlights main challenges faced in the BoP environment. It then constructs an ecosystem framework for BoP contexts composed by four theoretical propositions: first, need to shift from a top-down to a multi-actor BoP approach; second, need of social embeddedness for successful BoP initiatives; third, service co-creation for and with local communities with actors playing multiple social roles; and fourth, multi-actor and multi-dimensional value creation. Future research directions are identified related to these propositions. Research limitations/implications – Theoretical propositions integrating the service ecosystem framework need further exploration and confirmation with additional empirical studies. Practical implications – Proposed framework and propositions provide useful insights for practitioners from different types of organizations aiming to participate in BoP markets. Social implications – Understanding the need to integrate a service ecosystem perspective in BoP contexts is fundamental to better address the needs of all actors involved. Originality/value – The conceptual framework proposed offers a comprehensive, multi-dimensional, and multi-actor perspective on how to understand, and better address services in BoP contexts. Future research avenues identified offer a more inclusive agenda for increasing service knowledge at the BoP.
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 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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".