Entrepreneurial Resourcefulness: Theoretical Origins, Integrative Review, and Research Agenda
Bibliographic record
Abstract
Abstract Entrepreneurial resourcefulness is frequently invoked as an essential quality needed to succeed in the entrepreneurship processes. As such, recent years have seen a proliferation of a diverse body of scholarship on entrepreneurial resourcefulness. While this diversity demonstrates the promise and depth of entrepreneurial resourcefulness, this research is fragmented across disciplines, theories, and levels of analysis, which limits our understanding of when, why, and how entrepreneurial resourcefulness occurs and its effect on the entrepreneurial process. This study reviews and integrates the literature on entrepreneurial resourcefulness, providing a common foundational grounding that coheres diverse yet related streams of research. As an outcome of the review, we offer a definition of entrepreneurial resourcefulness that is anchored in its diverse theoretical origins and synthesize relevant research. In building on the foundation offered by the review, we identify the most critical areas for future research with the potential to build upon and extend the theoretical insights derived from the review.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".