Leadership behavior, satisfaction, and the balanced scorecard approach
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
Purpose A literature review has revealed that a sales manager's transformational leadership has a positive impact on the job satisfaction of salespeople, while job satisfaction has significant influence on salespeople's work behaviors. The purpose of this paper is to examine the relationship between the transformational leadership of sales managers and the job satisfaction of salespeople. Design/methodology/approach The research was designed as a quantitative study, and the population was identified as salespeople in the consumer product industry in Taiwan, resulting in 123 individual surveys for analysis. Findings The findings supported the hypothesis that there is a positive and statistically significant relationship between sales managers' transformational leadership and sales associates' job satisfaction. The result identified the predictors of sales managers' transformational leadership on the sales associates' job satisfaction through regression analysis. Originality/value The balanced scorecard (BSC) was originally intended to solve problems related to the historical nature of financial measures in accounting approaches. The purpose of this paper is to make a contribution to this literature by focusing on a major issue that has been less investigated, namely, the linking of the BSC perspective to the empirical investigation of leadership behaviors using statistical and technical tools and to predict employee satisfaction. The paper suggests applying Kaplan and Norton's BSC, which includes the perspectives of financial, customer, internal business, and innovation and learning measures to consider the effects of leadership behaviors on employee job satisfaction.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it