Social media and entrepreneurship: exploring the impact of social media use of start-ups on their entrepreneurial orientation and opportunities
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: ObservationalConsensus signal: Observational
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.418
- Threshold uncertainty score
- 0.584
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.138 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
Purpose The aim of this paper is to investigate how social media use (SMU) affects the entrepreneurial orientation (EO) and entrepreneurial opportunities (EOP) of start-ups. Design/methodology/approach The hypothesis testing and analysis were conducted using the partial least squares approach to structural equation modeling (PLS-SEM). Findings The research shows that SMU has a strong positive impact on EOP, while it has no impact on start-ups' EO. Interestingly, the impact of SMU on EOP is stronger than the impact of EO on EOP. Originality/value The findings add new knowledge to the emerging research stream that focuses on SMU in the context of entrepreneurship and provides useful insights for both scholars and practitioners. In particular, the evidence suggests implications for stakeholders with regard to their firms' entrepreneurial activities. This research offers several possible avenues for future research.
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.
The record
- Venue
- Journal of Small Business and Enterprise Development
- Topic
- Entrepreneurship Studies and Influences
- Field
- Business, Management and Accounting
- Canadian institutions
- Dalhousie University
- Funders
- not available
- Keywords
- EntrepreneurshipOriginalityEntrepreneurial orientationStructural equation modelingSocial mediaContext (archaeology)Value (mathematics)MarketingSocial impactSocial entrepreneurshipBusinessPublic relationsSociologyPsychologyPolitical scienceSocial psychologyCreativityComputer science
- Has abstract in OpenAlex
- yes