A competitive intelligence model based on information literacy: organizational competitiveness in the context of the 4th Industrial Revolution
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper investigated how information literacy and competitive intelligence are connected in business management and information science fields. It demonstrates the contribution of information literacy in the phases of the competitive intelligence process. This paper is relevant, since the model supports creativity and collaborative innovation in small businesses in the context of Industry 4.0. Furthermore, it contributed to connect the information science and business management fields, so it is multidisciplinary. It also proposes a theoretical model of information literacy and competitive intelligence in the context of Industry 4.0, which can be used for applied research. The methodology was developed based on a systematic literature review (SLR) of information literature and competitive intelligence. These concepts contribute to the development of a framework and a conceptual model in which the three themes are interconnected and demonstrate that information literacy can efficiently contribute to the competitive intelligence process, especially in the context of the Fourth Industrial Revolution.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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