The Strategic Use of Information Technology by Nonprofit Organizations: Increasing Capacity and Untapped Potential
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
How are nonprofits using information technology to enhance mission‐related outcomes and boost organizational performance? The authors examine a large‐scale survey of nonprofits’ technology planning, acquisition, and implementation to assess the strategic use of IT in these organizations. They evaluate nonprofits’ strategic technology‐use potential by examining IT‐related competencies and practices that are critical for the successful strategic employment of technology resources. Several promising developments are found, alongside significant deficits in the strategic utilization of IT, especially in the areas of financial sustainability, strategic communications and relationship building, and collaborations and partnerships. To boost IT’s mission‐related impact, nonprofits must enhance their organizational capacities in long‐term IT planning, budgeting, staffing, and training; performance measurement; Internet and Web site capabilities; and the vision, support, and involvement of senior management.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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