Competitive Advantage Based on Human Capital and its Impact on Organizational Sustainability: Applied Study in Jordanian Telecommunications Sector
Bibliographic record
Abstract
The current situation facing business organizations is characterized by diverse work environments with continuous change and development. Todays organizations seek to keep pace with this continuous development and operate to maintain their current business through the ability to effectively respond to change, and to create competitive advantage based on the existence of qualified human capital that contribute to the creation of organizational sustainability in the business sector. Talented human capital, with special skills, has the potential to create confidence and integration among the staff and top management, leading to organizational growth and continuation (Kurucz, 2013). The emergence of a set of challenges in the knowledge economy has had a clear reflection on business organizations which have begun to search for new mechanisms to compete and insure their existence in the business world. Hence, the importance of the concept of competitive advantage, based on human capital, as a necessary requirement to deal with the challenges faced by local, regional or international organizations (Global Institute, 2011). Where competitive advantage based on human capital is the main generator of new ideas, development of old ideas, and contribution to aid in organizational abilities to expand their current market share as well as maximizing value. Competitive advantage based on talented human capital allows organizations to be able to seize new opportunities and achieve permanence and future continuity (Thomas, 2014). This study aimed to look at the impact of competitive advantage through intellectual capital investment as one of the elements in the creation of organizational sustainability in the Jordanian Telecommunications Companies sector. Simple and Multiple regression was used for data analysis and testing the hypotheses of this research .This study has reached a set of results that previous studies reinforced in this area such as: Competitive advantage based on a distinct capital is the optimum method that should be used in telecommunications companies since it contributes to the optimal investment of human capital. This leads to optimum organizational sustainability for companies in various fields and also contributes to the achievement of a company’s mission and vision of the future.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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)
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".