Relationship marketing: a strategy for acquiring long-term strategic sponsorships in the disability sport sector
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since the founding of the National Wheelchair Basketball Association (NWBA) in 1949, wheelchair basketball has expanded to over 200 teams in the U.S. and Canada. Despite the success and growth of wheelchair basketball in the U.S., NWBA programs still face funding challenges. Considering the potential to generate funding through corporate sponsorship, nine semi-structured interviews were conducted with professionals in charge of sponsorship management of NWBA programs to gain insight into the acquisition and relationship management of their sponsorship programs. Findings showed several unique ways NWBA programs attract sponsors, including focusing on sponsors with an existing interest in the disability community, and highlighting the unique assets of NWBA teams such as their compelling stories, the program’s impact, disability expertise, and corporate social engagement opportunities. Communication, evaluation, and cross-marketing opportunities were found to be key in retaining sponsors. Both successful sponsorship acquisition and retention are underlined by relationship marketing efforts to build commitment and trust by establishing an emotional connection and mutually beneficial relationship between the sponsor and the team, as well as having a dense network of relationships between the sport property and sponsor. The results aid current and future programs in successful sponsorship acquisition and retention.
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.
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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it