Organizational Commitment and Corporate Ethical Values: Exploring the Nexus between Employees' Psychological Contract and Firms' Ethical Behaviour in the Nigerian Insurance Industry
Bibliographic record
Abstract
Commitment of employees to their organisations has been one of the central research themes in organisational study. Though, many predictors of organisational commitment abound in the literature, much is however not known on how ethical behaviour in the organisation affects employees’ commitment. Considering the nature of insurance services, and high potentials for ethical dilemma in the industry, this study contributes to organisational commitment literature by providing further understanding on the impact of corporate ethical values on organisational commitment in Nigeria. Underpinned by cognitive dissonance theory, the study proposes a significant relationship between the two constructs. While controlling for some demographic factors, corporate ethical values was hypothesized as a significant determinant of organisational commitment. With data from 415 managers, collected through Hunt’s et al (1989) Corporate Ethical Value and Hunt’s et al (1985) organisational commitment scales, the results of the multivariate analysis were presented, and discussed with managerial implications.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".