The roles of dynamic capabilities, innovation, organizational agility and knowledge management on competitive performance in 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
The turbulent and highly competitive business environment has influenced telecommunications, recently. The purpose of this study, using the survey data from 70 firms in the telecommunication industry in Nigeria, is to examine the relationships among dynamic capabilities, innovation, organizational agility and knowledge management in achieving maximum performance in the telecommunication industry. Out of 430 questionnaires distributed, 341 were returned. Partial Least Square approach of Structural Equation Model (PLS-SEM) was used to examine the research hypothesis. The research results suggest that dynamic capabilities were positively related to both organizational agility and competitive performance. Organizational agility was positively related to competitive performance. Knowledge management was also associated with dynamic capabilities, competitive performance and innovation. Innovation was insignificantly related to competitive performance. The findings from this study should assist telecommunication industries in Nigeria to cope with unwanted changes in the business environment and also help managers make better decisions to improve performance.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| 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