Process innovativeness in technology services organizations: Roles of differentiation strategy, operational autonomy and risk‐taking propensity
Bibliographic record
Abstract
Abstract This paper examines the effect of differentiation strategy on process innovativeness in technology services organization (TSOs). In addition it examines the direct and moderating effects of two organizational constructs— operational autonomy and risk‐taking propensity . Analysis of data from 102 firms in the mid‐Atlantic region of the USA indicates that both differentiation strategy and operational autonomy are positively related with process innovativeness, while an organization's risk‐taking propensity has no such relationship. In addition, operational autonomy moderates the relationship between differentiation strategy and process innovativeness, while no evidence was found for the moderating effect of risk‐taking propensity on this relationship. Further sub‐group analysis shows that in TSOs with high levels of operational autonomy, risk‐taking propensity has a positive moderating effect on the above relationship. Post hoc analysis also establishes positive links among process innovativeness and firm performance.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".