The Effect of Employee Involvement in Strategic Change on the Performance of Insurance Companies in Zimbabwe
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
Due to rapid technological advancements and intense competition, organizations must find new ways to do business. As a result, changes in an organization’s structures, systems, and strategies are now a pre-requisite to survive the competition. Involving employees in strategic change programmes will harness ideas that enhance competitive advantage and organizational performance. The purpose of this study is to inform industry executives, especially in insurance companies, that employees are crucial resources that must be valued for their contribution to the survival of the organization. A total of 115 respondents were surveyed using a 5-point Likert scale questionnaire in a quantitative research approach. This study employed the multiple regression method to test the effect of five employee involvement constructs on organizational performance using IBM SPSS V28 software. All five constructs, that is, participation in decision-making, teamwork, communication, creativity, and innovation, significantly affected the performance of insurance companies in Zimbabwe. This study’s findings will convince top managerial leaders of the insurance industry to acknowledge and appreciate the importance of involving employees in strategic change programmes. Furthermore, industry regulatory authorities can promote policies and practices that involve employees in decision-making.
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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 | 0.002 | 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 | 0.000 |
| 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