Web 2.0, Social Networks and E-commerce as Marketing Tools
Bibliographic record
Abstract
The spectacular development of the Web 2.0, particularly through online social networks, has awakened much interest in different areas. Marketing is one of them and businesses have decided to experiment with this new type of technology in support to their commercial activities. However, to take advantage of Web 2.0 tools and sites, it is necessary to distinguish their scope and possible applications from a business standpoint. This requires putting Web 2.0 in clear perspective with e-commerce, which is inherently linked to this purpose. In this article, we clarify Web 2.0 and present how it can be used for marketing. In particular, we discuss the role that online social networks may have in e-marketing, and in doing so how such networks might relate to e-commerce. In addition, recommendations for e-commerce researchers are presented based on the evidence obtained.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.012 | 0.016 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".