Digital Desire Paths: Exploring the Role of Computer Workarounds in Emergent Information Systems Design
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
The information systems literature generally conceptualises information system (IS) workarounds as negative disturbances that need to be avoided. IS design literature has emphasised the need to incorporate user behaviour in emergent IS design. Surprisingly, information systems research has kept the literatures on workarounds and IS design separate and remains silent on how workaround behaviour can inform information system design. In this research, we explore six workarounds in two case organisations and analyse the connections between them. We develop the concept of digital desire paths to describe the process how information system designers improve the system design by observing how users use and work around the system. Digital desire paths offer a novel interpretation of workarounds as input for information systems design and thereby serve as instance of the principle of guided emergence in action design research.
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.015 |
| 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