Cybermetric Techniques to Evaluate Organizations Using Web-Based Data

Cybermetric Techniques to Evaluate Organizations Using Web-Based Data proposes a complete and multifaceted analysis model, integrating quantitative and qualitative measures (extracted from web usability, SEO and design interaction metrics and evaluations) with a purpose of finding potential correlations. It also includes metrics from new social media platforms, metrics related to the interaction among companies, impact filtering according to different entity categories, innovation and scientific activities and media presence. This model is then applied to test feasibility and accuracy. Different statistical methods and tests are also applied to guide data gathering and analysis.

Proposes a new model aimed at measuring performance of private companies on the web, combining quantitative and qualitative techniquesApplies an empirical model to different environments (scientific, professional, innovation and media), providing new and original data not found elsewhereDemonstrates both the advantages and risks of using indicatorsIntroduces solid statistical techniques for web data analysisPresents a whole picture for measuring the web performance of technology companies through web metrics

INTRODUCTION 1. Introduction: measuring private company activities on the web 2. Company Web structure (a URLs, subdomains and subdirectories approach)

ANALYSIS MODEL 3. Proposal of a cybermetric model to measure private companies 4. Metrics and sources panel

EMPIRICAL ANALYSIS 5. Methodology 6. Scientific activity: presence in academic search engines and academic social sites 7. Professional activity: presence in professional social sites 8. News activity: presence in news, televisions, international agencies 9. Innovation activity: presence in patents 10. Network activity: web relationships and social network analyses

GENERAL FINDINGS 11. Discussion 12. Conclusions