Impact of human resource management practices on enterprises' competitive advantages and business performance: Evidence from telecommunication industry
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
Human resource is the core issue of socio-economic development all over the world and human resource practice can serve as a sustainable competitive advantage, which are considered central in the company's performance. In the field of telecommunications services, there exists a need for research on human resource management practices to lay the groundwork for improving the human resource management regime in enterprises, which has received great interest of both business executives and researchers. The current paper aims to assess the impact of human resource management practices on enterprises' competitive advantages and business performance for the case of Vietnam Post and Telecommunications Group enterprises. This study uses structural equation modeling with 117 parameters to be estimated when the total sample size is 773 observations. Research results show that: (1) Functional activities of human resource management, leading and encouraging changes, team and group activities, employee involvement, administrative activities are positively correlated with human resource management practices at Vietnam Post and Telecommunications Group enterprises. Moreover, the quality of human resources, human resource behavior, human resource management practices have a positive effect on the competitive advantage of human resources at Vietnam Post and Telecommunications Group enterprises. Furthermore, human resource management practices are found to have a positive effect on the business performance of Vietnam Post and Telecommunications Group enterprises.
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.
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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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