Small Business Growth and Internal Transparency: The Role of Information Systems1
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
While many large businesses start out as a small enterprise, remarkably little is known about how an organization actually changes internally during the periods of growth. Small business growth is known to strain internal communication processes, for example, which likely limits growth opportunities. Information systems are often called upon to remedy such deficiencies. Through a participatory action research project, we investigated the ways in which a small business management team developed an IS-enabled solution to address their growth needs. During the progression of the project, a new outcome of organizational effectiveness, internal transparency, was identified and developed. Adopting a punctuated equilibrium perspective, a theoretical process model is proposed that sheds light on a relationship between internal transparency, small business growth, and IS. The paper concludes with observations that internal transparency may well be a concept that offers significant potential for MIS research as well as a discussion about the applicability and credibility of participatory action research for this project.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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