Information technology sourcing changes in an SME: <i>Ça Va de Soi</i> in the cloud with diamonds
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
This case study presents the information technology (IT) sourcing decisions made by a Canadian small and medium enterprise specializing in knitwear, called Ça Va de Soi ( CVDS), during the deployment of the second phase of their two-phase organizational strategy based on a “Bricks and Clicks” business model. CVDS has 30 employees and 5 stores with annual sales of around $CDN 5 million (2015). The case focuses on phase two, the “Clicks,” where an IT project, divided into two parallel subprojects, was realized: (1) the custom development of an ERP system, and (2) the creation of an online e-commerce. The project was based on an “on-premises” sourcing strategy where the information systems were developed “in-house” by external service providers. After several months of efforts, the subprojects were abandoned and CVDS’ activities were rolled back to their legacy systems (Part A). Pulling the plug on the IT project was a tough decision for CVDS who still needed the online store to be implemented in order to support its stores’ activities. However, CVDS’ management team considered this failure as an opportunity to learn from their mistakes, review, and transform its IT sourcing strategy (Part B).
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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