Innovative Work Behavior (IWB) in the Knowledge Intensive Business Services (KIBS) Sector in Malaysia: The Effect of Leader-Member Exchange (LMX) and Social Capital (SC)
Bibliographic record
Abstract
Today, innovation is no longer belongs to the research and development (R&D) lab per se. In fact, innovation can be considered more of a product of the human creative mind with an inherent tacit knowledge. In order to be a successful knowledge-based economy, employees must continually be innovative. As such, this research which relates to innovation by and large will assist in creating better understanding of innovation from the behavioral perspective. In the context of business, innovation has long been embraced by organizations seeking to remain viable, effective and competitive in a dynamic business environment. Looking at the perspective of individual level innovation, this study seeks to examine whether employees’ innovative work behavior (IWB) can be influenced by leader-member exchange (LMX) and the social capital (SC) in the knowledge intensive business services (KIBS) sector in Malaysia. Using questionnaire mail survey a total of 318 data was obtained from the knowledge workers of the Multimedia Super Corridor (MSC) status companies in Malaysia. The findings show that LMX and SC was significantly and positively related to IWB. The result also reveals that SC has a stronger influence on the IWB of employees as compared to LMX. Discussions and implications of the study are discussed.
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How this classification was reachedexpand
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 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".