Digital Entrepreneurship Perspective of Smart Organization and Technological Innovation: A Conceptual Model
Bibliographic record
Abstract
To be successful in today’s rapid and increasing changes, innovation is the only option for maintaining growth and competitiveness. Organizations actually need to become “smart” to confront the growing customer needs, and changing markets. Digital entrepreneurship (DE) is perceived as a key pillar for innovation. However, there are a number of concerns surrounding smart organization (SO), DE, and technological innovation (TI), and how they are related is complex and important to understand in this digital age. While the extant literature presents several models for innovation, however, these studies are considered to be incomplete as they do not emphasize the relation between these variables. Based on conducting a deep literature review, this study proposes a conceptual model for SO focusing on TI (i.e., Product and process). This integrated model argues that SO’s components namely business intelligence, creative orientation, environment understanding, adaptation, and continuous learning significantly contribute to TI. In addition, it proposes that DE mediates the relationship between the SO and TI. Hypotheses development and suggesting further areas of research 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 | 0.000 | 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 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".