The Impact of Digital Leadership on SMEs’ Innovation Performance: A Mediation-Moderated Model of Digital Capability and Innovation Culture
Why this work is in the frame
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Bibliographic record
Abstract
Small and medium enterprises (SMEs) endeavor to achieve sustainability in the digital transformation age while leaders strive to develop their digital capabilities in response to the changes in the management landscape. The primary aim of this study is to investigate the effect of digital leadership (DL) on Kuwait’s SME innovation performance. Further, examine the intermediate role of digital capability (DC) and innovation culture (IC) in the relationship between digital leadership and innovation performance. This study adopted a quantitative method. It administered a questionnaire survey to collect the data and managed to gather 274 valid data from out of 400 Kuwaiti SME owners and CEOs. The results revealed that digital leadership profoundly influenced the innovation performance of Kuwaiti SMEs. Digital capability was critical in mediating the relationship between SMEs’ digital leadership and innovation performance, and innovation culture was pivotal in moderating the same relationship.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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