Exploring Departmental-Level Fundraising: Relationship-Based Factors Affecting Giving Intention in Arts Higher Education
Bibliographic record
Abstract
Fundraising for higher education institutions is becoming more important as there is increasingly limited government funding for public education. With shrinking funding, university programs and departments may be expected to raise more income on their own. This study hypothesizes that higher levels of stakeholders’ (students and alumni) knowledge, awareness, involvement, satisfaction, and relationship with the department and its fundraising efforts are positively associated with fundraising success measured in intention to give and likelihood to recommend others to give. By using mixed methods research design and relationship fundraising as a theoretical framework, the study found that satisfaction and relationship are the most significant variables positively affecting giving intention. The qualitative results can explain why these variables matter to stakeholders’ intentions to give. Using a case study approach of examining one university’s arts administration department fundraising practice and its relationship to stakeholders, this research initiates academic and practical discussion on effective fundraising for higher education units.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".