The Influence of Leadership Styles on Talent Management in the Banking Sector of Ghana: A Case Study of Agricultural Development Bank (ADB)
Bibliographic record
Abstract
The crisis of leadership seems to be the most pertinent problem the continent of Africa is battling with in contemporary time. Available statistical figures have consistently shown that most African countries are ranked among the lowest in global benchmarks such as life expectancy, human trafficking, control of corruption and failed state index among others. The banking sector in Africa and Ghana in particular have not been spared of this leadership crisis either. The aftermath of this is the ensuing distress the financial sector in Ghana is exposed to leading to the collapse of banks and other forms of restructuring. This paper as a result identifies the various leadership styles in Ghana’s banking sector and how this leadership style attracts and retains talents in the sector. The study finds democratic leadership style as the most prevalent one commonly practiced. Managers of the various branches of ADB were seen to have taking cognizance of the concerns of the well-being and views of their employees, who as a result felt inspired in their daily routines. However, other forms of leadership style (autocratic) were deployed depending on the type of task an employee was assigned to in the organization.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".