Effects of innovative climate, knowledge sharing, and communication on sustainability of digital start-ups: Does social media matter?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Start-ups are built by the charismatic leaders with innovative ideas, creativity, and distinguished expertise. However, they face huge challenges for growth and survival in an uncertain and competitive business eco-system. The aim of the present study is to examine the effect of entrepreneurial orientations with social media mediation on digital start-up sustainability. To conduct this research, active start-ups at the science and technology park of Tehran, Shiraz and Yazd universities have been identified in 2021. A 25-item questionnaire was used to collect data from 195 digital start-up managers. Data analysis has been done using SmartPLS3 software. The findings indicate that an innovative atmosphere, knowledge sharing and efficient communications have positive effects on the sustainability of digital startups, and the social media plays role as mediator. The results showed that social media contributes to increasing participation of employees in decision making process. Social media helps employees to share their knowledge, and establishes better interactions with the customers and stakeholders. As a result of better interaction, the company can respond to business challenges faster and operate in a more stable environment. Therefore, in today's turbulent market, attention to sustainability to achieve economic growth and development has been the focus of knowledge-based companies.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it