Individual Entrepreneurial Orientation: Scale Development and Validation
Bibliographic record
Abstract
Recent research introduced and laid the foundation for a new individual-level entrepreneurial orientation conceptualization (Ind.EO) within the entrepreneurial orientation family of constructs. Building directly from this work, this article theoretically defines a measurement model for the construct and develops and validates a scale. We define and measure disposition-based behavior constructs for autonomy, competitiveness, innovativeness, proactiveness, and risk-taking, thus providing psychometrically validated tools that support research in the burgeoning Ind.EO domain. Scale items are generated deductively from our definitions, and then tested through four data collections with academics, the lay population, entrepreneurs, and business managers. Strong validation data across these multiple samples support the utility of the final 17 items and that they can be used to measure Ind.EO. Furthermore, we provide unique theoretical insights regarding the value of the autonomy and competitiveness components of Ind.EO and investigate the core personal values associated with Ind.EO.
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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 | 0.041 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".