Browsing by Author "Stantchev, Vladimir"

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Citation - WoS: 100
Learning management systems and cloud file hosting services: A study on students' acceptance
(Pergamon-elsevier Science Ltd, 2014) Stantchev, Vladimir; Colomo-Palacios, Ricardo; Soto-Acosta, Pedro; Misra, Sanjay
The aim of this paper is to investigate the motivations that lead higher education students to replace several Learning Management Systems (LMS) services with cloud file hosting services for information sharing and collaboration among them. The research approach is based on the Technology Acceptance Model (TAM). More specifically, the model is devoted to identifying barriers and enablers to the acceptance of these technologies. A questionnaire comprising three factors (Attitude toward using technology, Perceived ease of use and Perceived usefulness) was applied to a sample consisting of 121 higher education students. Results show that the perceived ease of use of cloud file hosting services is above that of LMS tools and services and that cloud file hosting services presented higher levels of perceived usefulness than standard learning management tools. In addition, attitude toward using cloud file hosting services is well above that of using LMS tools. (C) 2013 Elsevier Ltd. All rights reserved.
Citation - WoS: 67
Citation - Scopus: 87
Towards a Social and Context-Aware Mobile Recommendation System for Tourism
(Elsevier, 2017) Colomo-Palacios, Ricardo; Jose Garcia-Penalvo, Francisco; Stantchev, Vladimir; Misra, Sanjay
Loyalty in tourism is one of the main concerns for tourist organizations and researchers alike. Recently, technology in general and CRM and social networks in particular have been identified as important enablers for loyalty in tourism. This paper presents POST-VIA 360, a platform devoted to support the whole life-cycle of tourism loyalty after the first visit. The system is designed to collect data from the initial visit by means of pervasive approaches. Once data is analysed, POST-VIA 360 produces accurate after visit data and, once returned, is able to offer relevant recommendations based on positioning and bio-inspired recommender systems. To validate the system, a case study comparing recommendations from the POST-VIA 360 and a group of experts was conducted. Results show that the accuracy of system's recommendations is remarkable compared to previous efforts in the field. (C) 2016 Elsevier B.V. All rights reserved.