Governance and Accountability in Faith-Based Nonprofit Organisations: A Thematic Synthesis of Spiritual Legitimacy, Ethical Stewardship and Professional Oversight
Bibliographic record
Abstract
Faith-based nonprofit organisations (FBOs) play a significant role in public welfare, education, community empowerment and humanitarian initiatives, yet their governance and accountability practices remain complex due to the interaction of organisational management and religious values. Research on FBOs has grown substantially, but existing studies tend to focus on specific components of governance such as board composition, accountability mechanisms, ethical leadership or spiritual motivations without consolidating these elements into a broader conceptual understanding. This paper synthesises the literature on governance and accountability in FBOs through a thematic analysis of published research, aiming to integrate insights that are typically examined in isolation. Using established thematic procedures, the review identifies twelve dominant themes that collectively illustrate how faith influences organisational governance, financial accountability, decision-making, board practices and stakeholder relationships. The paper presents a critical synthesis of how these themes appear across different contexts, highlighting recurring assumptions, unresolved tensions and geographical imbalances in the literature. It offers consolidated insights into how religious values intersect with non-profit management processes and proposes directions for future inquiry that more fully reflect the organisational realities of FBOs. Through this thematic synthesis, the study contributes a deeper and more cohesive understanding of how faith informs governance and accountability in nonprofit settings.
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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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 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".