Impact of Leadership Styles on Employee Adaptability in Call Center: A Perspective of Telecommunication Industry in Malaysia
Bibliographic record
Abstract
The purpose of this study is to find how employees adapt to different leadership styles in call centers in the telecommunication industry. This exploratory research was conducted among employees in call centers in the telecommunication industry to test the relationship between Leadership Styles and Employee Adaptability. The researcher used statistical inference and more specifically Linear Regression to test the relationship between the two variables. Results indicated that all the three Leadership Styles have an influencing role on the Employee Adaptability. Due to company policy, high volume of responses was not achieved. Job functions of the employees not directly reporting to their managers causing employee not interested in responding the surveys. Also, this study did not investigate the maturity level of the employees which has influence on the adaptability. And, the researcher was not able to get responses from all employees working in shifts. Few studies have been explored in the Leadership Styles and Employee Adaptability, this study expands our knowledge of leadership styles effect on employees’ adaptability in call centers in telecommunication industry in Malaysia.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".