Transformational Leadership, Leader Change Attitude, and Economic Sustainability in Manufacturing Companies Operating in Canada
Bibliographic record
Abstract
Some business leaders in medium-sized manufacturing companies operating in Canada do not understand the relationship between leadership style, leader change attitude, and economic sustainability. Grounded in transformational leadership theory, the purpose of this quantitative correlation study was to examine the relationship between a composite of transformational leadership attributes and the long-term economic sustainability of their respective organization. Additionally, the study sought to test whether leader change attitude was a moderating variable in the relationship between leadership style and economic sustainability. The participants were 160 leaders of medium-sized manufacturing organizations operating in Canada who completed the Multifaceted Leadership Questionnaire, the Leader Change Attitude Questionnaire, and the Economic Sustainability Questionnaire. The results of the multiple linear regression were significant, F(5,155) = 8.53, p < .001. The analysis also indicated that the leader’s attitude to change did not moderate the relationship between transformational leadership and economic sustainability. A key recommendation is for business owners and senior leaders to convey a rationale for the change and allow leaders to mitigate change concerns. The implications for positive social change include the potential to motivate followers to embrace change that promotes the company’s future well-being.
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.
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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".