Enrique Orduna-Malea – författare

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

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

Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.This insightful book examines the influential role of university rankings in shaping higher education. Leading international experts analyse how rankings drive global debates on metrics, communication and standardized evaluations of institutional performance, providing a critical overview of current and future challenges for global higher education. Adopting an interdisciplinary approach, contributing authors explore the consequences of rankings, from their impact on national policies and funding priorities to the strategic decisions of university leaders. Chapters investigate the ethical dilemmas and commercial interests underpinning the ranking industry, questioning its transparency, accountability and purpose. Contributors also rethink the role of rankings at the national, institutional and individual level and provide fresh perspectives on the broader pressures and transformations shaping higher education.A Research Agenda for University Rankings is a valuable resource for higher education researchers, particularly those exploring the implications of rankings for universities. University leaders and policy makers will also benefit from this book’s unique insights into higher education futures.