The impact of strategic and innovativeness entrepreneurship and social capital on business overall performance through building a sustainable supply chain management at Jordan Private Universities
Bibliographic record
Abstract
The objective of this study was to assess the influence of strategic entrepreneurship, innovative entrepreneurship, and social capital on the overall performance of businesses by establishing a sustainable supply chain management system in private colleges in Jordan. The primary objective of the study was to examine the impact of these elements on the development of sustainable supply chain management and the overall performance of businesses. To assess the assumptions posited in this study, a total of 329 individuals were recruited as participants, and their data were subjected to analysis and discussion. The study demonstrated that the implementation of an entrepreneurship strategy, together with the adoption of creative entrepreneurial practices inside the organization, as well as the support and enhancement of social capital management, all contributed to the development of a sustainable supply chain management system and the enhancement of overall business performance. The significance of strategic entrepreneurship emerged, highlighting its encompassment of key elements such as Market Opportunity Assessment, resource allocation, and firm design. The subsequent concept that emerged was that of creative entrepreneurship, encompassing elements such as creativity and the production of ideas, willingness to take risks and engage in experimentation, as well as the ability to sense market trends and prioritize customer-centric innovation. Social capital emerged as a prominent feature, constituting the third important element. This category encompassed other subcategories, including networking and fostering relationships, trustworthiness and reputation, as well as the exchange of knowledge and facilitation of information dissemination. The results indicated the potential for enhancing overall business performance and developing a sustainable supply chain management by implementing an entrepreneurship strategy, specifically entrepreneurship innovativeness, and fostering social capital. This approach can aid employees in understanding their job responsibilities. The achievement of this objective can be facilitated through the provision of training and development opportunities for personnel.
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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 | 0.002 | 0.003 |
| 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 | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".