Sustaining Innovation Performance in SMEs: Exploring the Roles of Strategic Entrepreneurship and IT Capabilities
Bibliographic record
Abstract
Recent research questions our understanding of the processes at play regarding information technology (IT) capabilities’ contribution to innovation performance, particularly under environmental uncertainty. Strategic entrepreneurship (SE) or the interface of entrepreneurship and strategic management, which aims to answer the very question of how firms create value or wealth and sustain success in increasingly competitive and dynamic environments, is deemed the appropriate catalyst to further explore this link. Thus, this study attempts to examine the driving effects of IT capabilities on product innovation performance (PIP) by exploring the mediating role of SE. Data were collected from 164 small- and medium-sized enterprises (SME) information communication technology (ICT) firms in Canada. Partial least squares (PLS) regression tested the hypotheses derived from the research model, and data exploration and analysis including visual analytics were performed in R. Results confirm that IT capabilities drive PIP and thereby create firm level value. Secondly, SE had a direct impact on PIP, and SE partially mediates IT capabilities effect on PIP. To date, SE research has mostly been conceptual in nature making this study one of the few to empirically capture the phenomena and highlight its link to sustainable innovation performance.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".