Entrepreneurship and project management relationships
Bibliographic record
Abstract
Purpose Both project investments and entrepreneurial ventures are considered powerful catalysts of economic prosperity and social progress. But these ventures and investments come with their inherent challenges and risks. Observing this situation, academics have paid close attention to the fields of entrepreneurship and project management (E&PM). Thus, for over 30 years, the two fields have witnessed remarkable developments among management and organization studies. The historical perspective reveals that these two multidisciplinary fields were built in parallel, on very distinct mindsets and cultures. The purpose of this paper is to offer a wider dialogic conversation between two distinct perspectives and related propositions: E&PM should stay separated; and E&PM should converge. Design/methodology/approach In order to guide the investigation of these propositions, the authors call for Luhmann and a systemic-discursive perspective of both fields discourses. Ultimately, the purpose is to contribute to the debate surrounding the following questions: are E&PM fields so far from each other, and thus, irreconcilable? And, if so, is it so good? Findings Finally, the authors will suggest that E&PM may stay far from each other as they do not share similar discourses and codes. This may be a good state of affairs, however, as distance generates a fruitful creative tension between them. Originality/value While many researchers focus on linking E&PM, arguing that they largely agree as to their underlying goal, the paper aims to offer a wider dialogical conversation between the two distinct perspectives and their related propositions: E&PM should stay separate; and E&PM should converge. In order to do so, this paper calls for a Luhmannian and a systemic-discursive perspective.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".