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Patricia Ordóñez De Pablos; José Emilio Labra Gayo. Rethinking key issues for understanding the new challenges of disruption and digital transformation in companies and economies. Behaviour & Information Technology 2019, 38, 873 -875.
AMA StylePatricia Ordóñez De Pablos, José Emilio Labra Gayo. Rethinking key issues for understanding the new challenges of disruption and digital transformation in companies and economies. Behaviour & Information Technology. 2019; 38 (9):873-875.
Chicago/Turabian StylePatricia Ordóñez De Pablos; José Emilio Labra Gayo. 2019. "Rethinking key issues for understanding the new challenges of disruption and digital transformation in companies and economies." Behaviour & Information Technology 38, no. 9: 873-875.
Social networks research has grown exponentially over the past decade. Subsequent empirical and conceptual advances have been transposed in the field of education. As the debate on delivering better education for all gains momentum, the big question is how to integrate advances in social networks research, corresponding advances in information and communication technology (ICT) and effectively employ them in the domain of education. To address this question, this paper proposes a conceptual framework (maturity model) that integrates social network research, the debate on technology-enhanced learning (TEL) and the emerging concept of smart education.
Miltiadis D. Lytras; Anna Visvizi; Linda Daniela; Akila Sarirete; Patricia Ordonez De Pablos. Social Networks Research for Sustainable Smart Education. Sustainability 2018, 10, 2974 .
AMA StyleMiltiadis D. Lytras, Anna Visvizi, Linda Daniela, Akila Sarirete, Patricia Ordonez De Pablos. Social Networks Research for Sustainable Smart Education. Sustainability. 2018; 10 (9):2974.
Chicago/Turabian StyleMiltiadis D. Lytras; Anna Visvizi; Linda Daniela; Akila Sarirete; Patricia Ordonez De Pablos. 2018. "Social Networks Research for Sustainable Smart Education." Sustainability 10, no. 9: 2974.
This Special Issue of Sustainability devoted to the topic of “Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness” attracted exponential attention of scholars, practitioners, and policy-makers from all over the world. Locating themselves at the expanding cross-section of the uses of sophisticated information and communication technology (ICT) and insights from social science and engineering, all papers included in this Special Issue contribute to the opening of new avenues of research in the field of innovation, knowledge management, and big data. By triggering a lively debate on diverse challenges that companies are exposed to today, this Special Issue offers an in-depth, informative, well-structured, comparative insight into the most salient developments shaping the corresponding fields of research and policymaking.
Patricia Ordóñez De Pablos; Miltiadis Lytras. Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness. Sustainability 2018, 10, 2073 .
AMA StylePatricia Ordóñez De Pablos, Miltiadis Lytras. Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness. Sustainability. 2018; 10 (6):2073.
Chicago/Turabian StylePatricia Ordóñez De Pablos; Miltiadis Lytras. 2018. "Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness." Sustainability 10, no. 6: 2073.
Over the past few years, Public Administrations have been providing systems for procedures and files electronic processing to ensure compliance with regulations and provide public services to citizens. Although each administration provides similar services to their citizens, these systems usually differ from the internal information management point of view since they usually come from different products and manufacturers. The common framework that regulations demand, and that Public Administrations must respect when processing electronic files, provides a unique opportunity for the development of intelligent agents in the field of administrative processes. However, for this development to be truly effective and applicable to the public sector, it is necessary to have a common representation model for these administrative processes. Although a lot of work has already been done in the development of public information reuse initiatives and common vocabularies standardization, this has not been carried out at the processes level. In this paper, we propose a semantic representation model of both processes models and processes for Public Administrations: the procedures and administrative files. The goal is to improve public administration open data initiatives and help to develop their sustainability policies, such as improving decision-making procedures and administrative management sustainability. As a case study, we modelled public administrative processes and files in collaboration with a Regional Public Administration in Spain, the Principality of Asturias, which enabled access to its information systems, helping the evaluation of our approach.
Francisco José Hidalgo López; Jose Emilio Labra Gayo; Patricia Ordóñez De Pablos. Semantic Modeling of Administrative Procedures from a Spanish Regional Public Administration. Sustainability 2018, 10, 633 .
AMA StyleFrancisco José Hidalgo López, Jose Emilio Labra Gayo, Patricia Ordóñez De Pablos. Semantic Modeling of Administrative Procedures from a Spanish Regional Public Administration. Sustainability. 2018; 10 (3):633.
Chicago/Turabian StyleFrancisco José Hidalgo López; Jose Emilio Labra Gayo; Patricia Ordóñez De Pablos. 2018. "Semantic Modeling of Administrative Procedures from a Spanish Regional Public Administration." Sustainability 10, no. 3: 633.
To promote sustainable development, the smart city implies a global vision that merges artificial intelligence, big data, decision making, information and communication technology (ICT), and the internet-of-things (IoT). The ageing issue is an aspect that researchers, companies and government should devote efforts in developing smart healthcare innovative technology and applications. In this paper, the topic of disease diagnosis in smart healthcare is reviewed. Typical emerging optimization algorithms and machine learning algorithms are summarized. Evolutionary optimization, stochastic optimization and combinatorial optimization are covered. Owning to the fact that there are plenty of applications in healthcare, four applications in the field of diseases diagnosis (which also list in the top 10 causes of global death in 2015), namely cardiovascular diseases, diabetes mellitus, Alzheimer’s disease and other forms of dementia, and tuberculosis, are considered. In addition, challenges in the deployment of disease diagnosis in healthcare have been discussed.
Kwok Tai Chui; Wadee Alhalabi; Sally Shuk Han Pang; Patricia Ordóñez De Pablos; Ryan Wen Liu; Mingbo Zhao. Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications. Sustainability 2017, 9, 2309 .
AMA StyleKwok Tai Chui, Wadee Alhalabi, Sally Shuk Han Pang, Patricia Ordóñez De Pablos, Ryan Wen Liu, Mingbo Zhao. Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications. Sustainability. 2017; 9 (12):2309.
Chicago/Turabian StyleKwok Tai Chui; Wadee Alhalabi; Sally Shuk Han Pang; Patricia Ordóñez De Pablos; Ryan Wen Liu; Mingbo Zhao. 2017. "Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications." Sustainability 9, no. 12: 2309.
The goal of this research is to define and capture a series of parameters that allowed us to perform a comparative analysis and find correlations between explicit and implicit feedback on recommender systems. Most of these systems require explicit actions from the users, such as rating, and commenting. In the context of electronic books this interaction may alter the patterns of reading and understanding of the users, as they are asked to stop reading and rate the content. By simulating the behavior of an electronic book reader we have improved the feedback process, by implicitly capturing, measuring, and classifying the information needed to discover user interests. In these times of information overload, we can now develop recommender systems that are mostly based on the user’s behavior, by relying on the obtained results.
Edward Rolando Núñez-Valdéz; Juan Manuel Cueva Lovelle; Oscar Sanjuán Martínez; Vicente García-Díaz; Patricia Ordoñez de Pablos; Carlos Enrique Montenegro Marín. Implicit feedback techniques on recommender systems applied to electronic books. Computers in Human Behavior 2012, 28, 1186 -1193.
AMA StyleEdward Rolando Núñez-Valdéz, Juan Manuel Cueva Lovelle, Oscar Sanjuán Martínez, Vicente García-Díaz, Patricia Ordoñez de Pablos, Carlos Enrique Montenegro Marín. Implicit feedback techniques on recommender systems applied to electronic books. Computers in Human Behavior. 2012; 28 (4):1186-1193.
Chicago/Turabian StyleEdward Rolando Núñez-Valdéz; Juan Manuel Cueva Lovelle; Oscar Sanjuán Martínez; Vicente García-Díaz; Patricia Ordoñez de Pablos; Carlos Enrique Montenegro Marín. 2012. "Implicit feedback techniques on recommender systems applied to electronic books." Computers in Human Behavior 28, no. 4: 1186-1193.
This study analyzes the situation of enterprise knowledge management in China based on the survey and data in terms of knowledge management recognition, knowledge management stages, knowledge management applications, integration of knowledge, motivation and effect of knowledge management, and finds that the enterprise knowledge management in China is still at the initial stage, therefore it is significant to establish a general knowledge management model for China’s enterprises. This study develops a framework of general knowledge management model from the perspective of organizational competitive advantages, and further discusses the application of enterprise knowledge management model through the case of Landray.
Jingyuan Zhao; Patricia Ordóñez de Pablos; Zhongying Qi. Enterprise knowledge management model based on China’s practice and case study. Computers in Human Behavior 2012, 28, 324 -330.
AMA StyleJingyuan Zhao, Patricia Ordóñez de Pablos, Zhongying Qi. Enterprise knowledge management model based on China’s practice and case study. Computers in Human Behavior. 2012; 28 (2):324-330.
Chicago/Turabian StyleJingyuan Zhao; Patricia Ordóñez de Pablos; Zhongying Qi. 2012. "Enterprise knowledge management model based on China’s practice and case study." Computers in Human Behavior 28, no. 2: 324-330.
Nowadays, new technologies and the fast growth of the Internet have made access to information easier for all kind of people, raising new challenges to education when using Internet as a medium. One of the best examples is how to guide students in their learning processes. The need to look for guidance from their teachers or other companions that many Internet users experience when endeavoring to choose their readings, exercises o practices is a very common reality. In order to cater for this need many different information and recommendation strategies have been developed. Recommendation Systems is one of these. Recommendation Systems try to help the user, presenting him those objects he could be more interested in, based on his known preferences or on those of other users with similar characteristics. This document tries to present the current situation with regards to Recommendation Systems and their application on distance education over the Internet.
Rubén González Crespo; Oscar Sanjuán Martínez; Juan Manuel Cueva Lovelle; B. Cristina Pelayo García-Bustelo; José Emilio Labra Gayo; Patricia Ordoñez de Pablos. Recommendation System based on user interaction data applied to intelligent electronic books. Computers in Human Behavior 2011, 27, 1445 -1449.
AMA StyleRubén González Crespo, Oscar Sanjuán Martínez, Juan Manuel Cueva Lovelle, B. Cristina Pelayo García-Bustelo, José Emilio Labra Gayo, Patricia Ordoñez de Pablos. Recommendation System based on user interaction data applied to intelligent electronic books. Computers in Human Behavior. 2011; 27 (4):1445-1449.
Chicago/Turabian StyleRubén González Crespo; Oscar Sanjuán Martínez; Juan Manuel Cueva Lovelle; B. Cristina Pelayo García-Bustelo; José Emilio Labra Gayo; Patricia Ordoñez de Pablos. 2011. "Recommendation System based on user interaction data applied to intelligent electronic books." Computers in Human Behavior 27, no. 4: 1445-1449.
Patricia Ordóñez De Pablos. Preface. Behaviour & Information Technology 2011, 30, 1 -1.
AMA StylePatricia Ordóñez De Pablos. Preface. Behaviour & Information Technology. 2011; 30 (1):1-1.
Chicago/Turabian StylePatricia Ordóñez De Pablos. 2011. "Preface." Behaviour & Information Technology 30, no. 1: 1-1.
The publication of different media types, like images, audio and video in the World Wide Web is getting more importance each day. However, searching and locating content in multimedia sites is challenging. In this paper, we propose a platform for the development of multimedia web information systems. Our approach is based on the combination between semantic web technologies and collaborative tagging. Producers can add meta-data to multimedia content associating it with different domain-specific ontologies. At the same time, users can tag the content in a collaborative way. The proposed system uses a search engine that combines both kinds of meta-data to locate the desired content. It will also provide browsing capabilities through the ontology concepts and the developed tags.
Jose Emilio Labra Gayo; Patricia Ordóñez De Pablos; Juan Manuel Cueva-Lovelle. WESONet: Applying semantic web technologies and collaborative tagging to multimedia web information systems. Computers in Human Behavior 2010, 26, 205 -209.
AMA StyleJose Emilio Labra Gayo, Patricia Ordóñez De Pablos, Juan Manuel Cueva-Lovelle. WESONet: Applying semantic web technologies and collaborative tagging to multimedia web information systems. Computers in Human Behavior. 2010; 26 (2):205-209.
Chicago/Turabian StyleJose Emilio Labra Gayo; Patricia Ordóñez De Pablos; Juan Manuel Cueva-Lovelle. 2010. "WESONet: Applying semantic web technologies and collaborative tagging to multimedia web information systems." Computers in Human Behavior 26, no. 2: 205-209.