Tension Origins at the Intersection of MVP and Innovation Culture
Bibliographic record
Abstract
In the rapidly evolving landscape of information system development, organisations increasingly embrace innovative methodologies to stay competitive and responsive to changing market demands. In this volatile environment, using minimum viable products and fostering an innovation culture have emerged as critical strategies. However, as organisations strive to incorporate these elements into their development processes, tensions inevitably arise, posing challenges to the success of the project. Our study fills a critical gap in the literature on information system development processes by aiming to identify the origins of the tensions at the intersection of delivering minimum viable products and fostering innovation culture in information system projects. Drawing on a qualitative study involving information system development industry experts working on various projects in Australia, the UK, Canada and Sri Lanka, we present this paper, highlighting four tension origins that we identified – People, Process, Policy and Market Dynamics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.031 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.011 | 0.041 |
| Scholarly communication | 0.023 | 0.026 |
| Open science | 0.002 | 0.022 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".