Beyond Technological Capabilities: The Mediating Effects of Analytics Culture and Absorptive Capacity on Big Data Analytics Value Creation in Small- and Medium-Sized Enterprises
Why this work is in the frame
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Bibliographic record
Abstract
Research on the ability of small- and medium-sized enterprises (SMEs) to harness value from their big data analytics (BDA) investment is a major challenge facing executives but research on this issue involving SMEs is scant. Drawing on the BDA capabilities literature, this article tests the mediating roles of two factors—analytics culture and BDA-specific absorptive capacity—on the ability of SMEs to generate strategic business value from their BDA investments. This article is based on a sample of 447 Canadian SMEs using structural equation modeling with partial least squares. The results confirm that both analytics culture and BDA-specific absorptive capacity amplify the impact of technological and human capabilities on strategic business value. The findings contribute theoretically and empirically to the emerging BDA literature on SMEs. The findings can help executives develop BDA strategies to harness their investments.
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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 | 0.000 | 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 | 0.000 |
| 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