Importance of commitment in encouraging employees’ innovative behaviour
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 – The extremely competitive and globalized business environment directs organizations to rely on human capital to be innovative. Committed employees are needed for organizations to foster innovative behaviors. The purpose of this paper is to examine the relationship between three forms of commitment and employees’ innovative behavior. Design/methodology/approach – Adopted questionnaire from previous studies were distributed among employees of Malaysian Small and Medium Enterprises. A total of 219 questionnaires were analyzed via partial least square. Findings – Statistical results revealed significant relationships between affective and normative commitment and employees’ innovative behavior. Originality/value – This study offers a theoretical contribution by adding an insight into the relationship between commitment and innovative behavior. The study also provides a practical guideline for managers of Malaysian SMEs who aim to increase innovative behavior among employees by considering their level of commitment.
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.
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 | 0.001 | 0.001 |
| 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