Cybermetric Techniques to Evaluate Organizations Using Web-Based Data

著者名：Orduna-Malea, Enrique/Alonso-Arroyo, Adolfo

Chandos Publishing（2017/08/23発売）

• 言語：ENG
• ISBN：9780081018774
• eISBN：9780081018781

Description

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 techniques- Applies an empirical model to different environments (scientific, professional, innovation and media), providing new and original data not found elsewhere- Demonstrates both the advantages and risks of using indicators- Introduces solid statistical techniques for web data analysis- Presents a whole picture for measuring the web performance of technology companies through web metrics

Table of Contents

INTRODUCTION1. Introduction: measuring private company activities on the web2. Company Web structure (a URLs, subdomains and subdirectories approach)ANALYSIS MODEL3. Proposal of a cybermetric model to measure private companies4. Metrics and sources panelEMPIRICAL ANALYSIS5. Methodology6. Scientific activity: presence in academic search engines and academic social sites7. Professional activity: presence in professional social sites8. News activity: presence in news, televisions, international agencies9. Innovation activity: presence in patents10. Network activity: web relationships and social network analysesGENERAL FINDINGS11. Discussion12. Conclusions