Information Systems Acquisition Decisions: Learning Management System of SolBridge
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
SolBridge, a young business school in South Korea, acquired an open-source learning management system (LMS) in early years of its operation. It switched to an on-premises proprietary LMS a few years later. However, before renewal of its annual license SolBridge was caught in a typical dilemma of information systems acquisition (IS acquisition), i.e., keeping the costs lowest while maximizing user and organizational benefits. The decision was made more complex by newly available cloud-hosting options. SolBridge CIO analyzed the total cost of ownership (TCO) and benefits of several options before recommending one of them to school management. This case provides senior undergraduate or graduate students with an opportunity to assume the role of SolBridge CIO and analyze TCO for its next LMS. Not only will they realize the managerial challenges involved in selection and acquisition of enterprise information systems but they will also learn about the economic feasibility of on-premises and cloud-hosting options. It also becomes visible to them that organizations grapple with unceasing technological and organizational changes. Therefore, flexibility and scalability emerge as key elements of modern IT infrastructure.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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