The Futures of Value:Strategic Pathways for Integrating Profit and Purpose
Bibliographic record
Abstract
This project investigates how the concept of value in business is shifting and how this shift is influencing the integration of profit and purpose. The research establishes an understanding of the concept of value in business within the contemporary context by synthesizing findings from a literature review, qualitative interviews, and systems analysis. These methods uncover the structural, relational, and ideological forces shaping the concept of value, as well as the interdependencies, power dynamics, and feedback loops within the current system. To address the research objective of identifying strategic pathways supporting businesses navigating toward sustainable success and meaningful impact, the exploration of the concept of value and its relationship to the integration of profit and purpose was extended into future contexts by employing strategic foresight methods. Horizon scanning and historical analysis identified drivers of change, laying the groundwork for scenario construction. The Cone of Plausibility technique provided a structured approach to explore how altering assumptions about drivers' behaviour might shape different futures. Analysis of the resulting scenarios revealed eight insights, which then informed the development of foundational capacities and strategic pathways to support businesses attempting to integrate profit and purpose. Additionally, a set of guiding questions was developed to support strategy and design teams in thinking systemically and reflexively when working with value propositions.
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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.018 | 0.028 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".