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
Papildus informācija
Provides qualitative and quantitative indicators to evaluate organizations using web-based data, focusing on private companies in the technology industry
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vii | |
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| Foreword |
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| Presentation |
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xiii | |
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1 | (60) |
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1 Measuring (private company activity) on the web |
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3 | (32) |
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1.1 Are humans made to measure? |
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3 | (2) |
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1.2 What does it mean to measure? |
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5 | (3) |
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1.3 Measuring in hyperspace |
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8 | (8) |
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1.4 Companies in hyperspace |
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16 | (5) |
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21 | (1) |
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1.6 Application of cybermetric techniques to measure companies |
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22 | (13) |
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30 | (5) |
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2 The web impact scattering problem |
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35 | (26) |
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2.1 The web presence dilemma |
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35 | (3) |
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38 | (8) |
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2.3 Case study I: Top world companies |
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46 | (7) |
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2.4 Case study II: Microsoft Corporation |
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53 | (8) |
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59 | (2) |
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BLOCK B The analysis model |
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61 | (16) |
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3 A cybermetric analysis model to measure private companies |
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63 | (14) |
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63 | (6) |
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3.2 A new model based on metrics, indicators, categories, and dimensions |
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69 | (4) |
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3.3 Multilevel analysis model |
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73 | (4) |
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76 | (1) |
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BLOCK C The empirical test |
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77 | (100) |
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79 | (8) |
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79 | (3) |
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82 | (1) |
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83 | (4) |
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85 | (2) |
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5 Global performance on commercial search engines |
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87 | (22) |
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88 | (2) |
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90 | (3) |
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93 | (3) |
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96 | (5) |
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101 | (8) |
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106 | (3) |
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6 Selective performance on commercial search engines |
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109 | (16) |
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109 | (1) |
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109 | (5) |
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114 | (11) |
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123 | (2) |
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7 Specific performance on specialized search engines |
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125 | (28) |
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125 | (4) |
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129 | (15) |
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144 | (3) |
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147 | (3) |
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150 | (3) |
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150 | (3) |
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8 Global performance on social media |
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153 | (24) |
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153 | (4) |
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8.2 The professional strategy: LinkedIn |
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157 | (3) |
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8.3 The communication strategy: Twitter |
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160 | (7) |
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8.4 The broadcast strategy: YouTube |
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167 | (6) |
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173 | (4) |
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174 | (3) |
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177 | (22) |
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179 | (16) |
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9.1 Is normalization doomed to failure? |
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179 | (10) |
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9.2 Indirect web satellites: how to manage external representatives |
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189 | (2) |
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9.3 The lost offline world |
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191 | (4) |
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192 | (3) |
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10 The end of the road: Struggling to square the web circle |
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195 | (4) |
| Appendix I List of biotechnology companies |
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199 | (6) |
| Index |
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Enrique Orduna-Malea is Technical Engineer of Telecommunications (Sound & Image), MA in Information Sciences and PhD in Cybermetrics from the Polytechnic University of Valencia in Spain. He also holds a Master Degree in multichannel contents management. His research lines are fundamentally focused on descriptive (testing web indicators and studying analysis units), instrumental (analysis of web sources and search engines) and applied (academic and business environments) webmetrics. Adolfo Alonso-Arroyo works as an Associate Professor in the History of Science and Documentation department, Faculty of Medicine and Dentistry, University of Valencia He holds an MA in Information Sciences (University of Granada) and PhD in Bibliometrics (Polytechnic University of Valencia). His main research line is devoted to the field of assessing the scientific activity from a bibliometric perspective, especially productivity, collaboration and impact.
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