Business Reasoning for Rapid Productization in Small Enterprises
Bibliographic record
Abstract
In order to succeed, companies must offer quality products and services, ones that are in demand. Rapid productization (RP) is a concept originating from practical challenges expanding customer preferences. RP is a process of quickly supplementing a company’s product or service offering to meet unexpected customer preferences. The objective of this study is to describe how an RP exists in small enterprises and how the use of RP is reasonable. This case study opens the RP concept by clarification of business case objectives set to start RP, analysis of RP challenges and description of business reasoning used for RP in the case companies. Products offered to customers may be a result of cooperation among many companies, while the products are modular, consisting of interlinking elements. When these types of products are well managed, it can be easy to respond to changing customer requirements. This type of RP can be the livelihood of especially small-and medium-sized enterprises (SME). However, the capability of productizing rapidly provides a significant competitive edge also for larger players.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".