Bibliographic record
Abstract
Purpose – The purpose of this paper is to theoretically analyze and empirically test the business value of firm web visibility, including its relationship to advertising efficiency and long-term financial performance (i.e. shareholder value). Design/methodology/approach – A conceptual framework is established to analyze firm value of web visibility through its market effects. Hypotheses on the associations between firm web visibility and advertising efficiency and shareholder value are tested by cross-sectional analysis of 1,331 firms in six industries and four industry sectors. The authors control for several firm- and industry-level factors. Findings – The results consistently support the two hypotheses, i.e., first, a positive and significant relationship between firm web visibility and advertising efficiency; and second, a positive and significant relationship between firm web visibility and shareholder value. Practical implications – In addition to increasing web traffic, firm web visibility has business value and helps to enhance advertising efficiency and shareholder value. Managers can use the web references as a valuable tool for marketing success when the use of traditional advertising reaches saturation. Managers should actively monitor and use web visibility as a web management measure in practice. Originality/value – This research provides convincing evidence to support both short-term and long-term business value of web visibility and suggests that web visibility be recognized and managed as a market-based asset.
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.
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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".