Explaining Nascent Entrepreneurs’ Goal Commitment: An Exploratory Study
Bibliographic record
Abstract
Expectancy theory and goal setting theory serve as conceptual frameworks to examine factors associated with nascent entrepreneurs’ goal commitment, or the extent to which nascent entrepreneurs exhibit positive attitudes toward devoting substantial energy to their start-up activities. Nascent entrepreneurs’ goal commitment may be influenced by personal and environmental factors that reflect the feasibility and desirability of attaining the goal of establishing a business. Tests of the study's hypotheses use a random sample of 81 Canadian nascent entrepreneurs. In terms of the feasibility of goal attainment, nascent entrepreneurs’ selfefficacy and their perception of the availability of external private financial support relate positively to goal commitment; the perception of the availability of public financial support relates negatively to goal commitment. In terms of the desirability of goal attainment, the value that nascent entrepreneurs attribute to entrepreneurship as a career choice and the perception of normative support for entrepreneurship both relate positively to goal commitment. Implications and limitations of the findings and directions for further research are discussed.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".