TY - JOUR A1 - Stantchev, Vladimir A1 - Dzombeta, Srdan A1 - Brandis, Knud T1 - IT Compliance Management in the Field of Cloud Computing: competence Management Approach supporting Continuing Engineering Education JF - International Journal of Engineering Education N2 - Keine Angabe - No details KW - IT Compliance Management KW - Cloud Computing Y1 - 2013 N1 - Volltext aus urheberrechtlichen Gründen nicht verfügbar. Fulltext due to copyright not available. VL - 29 SP - Keine Angabe - No details EP - Keine Angabe - No details ER - TY - JOUR A1 - Radant, Olaf A1 - Colomo-Palacios, Ricardo A1 - Stantchev, Vladimir T1 - Analysis of Reasons, Implications and Consequences of Demographic Change for IT Departments in Times of Scarcity of Talent: a Systematic Review JF - International Journal of Knowledge Management N2 - The skill shortage is becoming an ever-increasing challenge for IT departments. Allocation of resources in the best possible way is even more important. The challenge is to improve the enterprise not only on the side of the organizational and process level, but to develop new strategies and approaches in human resource management. Only a symbiosis of the disciplines economics, psychology and information technology will enable relevant and indispensable employees and promote loyalty to the company. A frequent change of the work place, for a well-trained professional, is so long associated with normality until they find the best environment for fulfilling their needs and expectations. These expectations are no longer just on a financial level. This paper will analyse the previous work on these topics and demonstrate first conclusions regarding a way forward. KW - Demographic Change KW - IT Management KW - Human Resource Management Y1 - 2014 N1 - Online: https://www.researchgate.net/publication/286454413_Analysis_of_Reasons_Implications_and_Consequences_of_Demographic_Change_for_IT_Departments_in_Times_of_Scarcity_of_Talent_A_Systematic_Review VL - 10 IS - 4 SP - 1 EP - 15 ER - TY - GEN A1 - Stantchev, Vladimir T1 - Addressing Sustainability in IT-Governance Frameworks N2 - Keine Angabe No details KW - IT-Governance KW - Software Engineering Y1 - 2014 N1 - Volltext aus urheberrechtlichen Gründen nicht verfügbar. Fulltext due to copyright not available. ER - TY - GEN A1 - Stantchev, Vladimir T1 - Minitrack Chair Service Directories for SaaS N2 - Keine Angabe No details KW - SaaS KW - Minitrack Y1 - 2013 N1 - Volltext aus urheberrechtlichen Gründen nicht verfügbar. Fulltext due to copyright not available. ER - TY - CHAP A1 - Stantchev, Vladimir T1 - Towards Ambient IT in Healthcare N2 - Keine Angabe No details KW - Ambient IT KW - Healthcare Y1 - 2015 N1 - Volltext aus urheberrechtlichen Gründen nicht verfügbar. Fulltext due to copyright not available. ER - TY - CHAP A1 - Stantchev, Vladimir T1 - The Perspectives for IT in Healthcare: the Case of Spain and Germany N2 - Keine Angabe No details KW - IT KW - Healthcare Y1 - 2015 N1 - Volltext aus urheberrechtlichen Gründen nicht verfügbar. Fulltext due to copyright not available. ER - TY - CHAP A1 - Stantchev, Vladimir T1 - PrevenTAB: Towards Ambient IT in Healthcare N2 - Keine Angabe No details KW - Ambient IT KW - Healthcare Y1 - 2015 N1 - Volltext aus urheberrechtlichen Gründen nicht verfügbar. Fulltext due to copyright not available. ER - TY - CHAP A1 - Stantchev, Vladimir T1 - Requirements Engineering and Risk Management Solutions N2 - Keine Angabe No details KW - Risk Management KW - Information Technology KW - Electronic Commerce Y1 - 2015 N1 - Volltext aus urheberrechtlichen Gründen nicht verfügbar. Fulltext due to copyright not available. ER - TY - JOUR A1 - Stantchev, Vladimir A1 - Prieto-González, Lisardo A1 - Tamm, Gerrit T1 - Cloud computing service for knowledge assessment and studies recommendation in crowdsourcing and collaborative learning environments based on social network analysis JF - Computers in Human Behavior N2 - Interactions among people have substantially changed since the emergence of social networks, the expansion of the Internet and the proliferation of connected mobile devices, and so have the possibilities of collaborative learning, with the inclusion of new e-learning platforms. From this point, assessing human knowledge in these virtual environments is not a trivial task. This work presents a novel cloud-computing-based service which relies on advanced artificial intelligence mechanisms to infer knowledge and interest from users considering the aggregated data presented from/to these users in different social networks. This way it is possible to assess with a certain degree of confidence the user knowledge level in different topics as well as recommend additional specific education related to his/her former studies in order to get a better/desired job. KW - Cloud Computing KW - Crowdsourcing KW - Collaborative Learning KW - Artificial Immune System Y1 - 2015 N1 - Volltext ist aus urheberrechtlichen Gründen nicht verfügbar. Full text due to copyright not available. VL - 51 IS - B SP - 762 EP - 770 ER - TY - JOUR A1 - Vera-Baquero, Alejandro A1 - Colomo-Palacios, Ricardo A1 - Stantchev, Vladimir A1 - Molloy, Owen T1 - Leveraging big-data for business process analytics JF - The Learning Organization N2 - This paper aims to present a solution that enables organizations to monitor and analyse the performance of their business processes by means of Big Data technology. Business process improvement can drastically influence in the profit of corporations and helps them to remain viable. However, the use of traditional Business Intelligence systems is not sufficient to meet today's business needs. They normally are business domain-specific and have not been sufficiently process-aware to support the needs of process improvement-type activities, especially on large and complex supply chains, where it entails integrating, monitoring and analysing a vast amount of dispersed event logs, with no structure, and produced on a variety of heterogeneous environments. This paper tackles this variability by devising different Big Data based approaches that aim to gain visibility into process performance. KW - Business process analytics KW - Business intelligence KW - Business performance management KW - Cloud computing Y1 - 2015 N1 - Online: https://www.researchgate.net/publication/280088163_Leveraging_big-data_for_business_process_analytics VL - 22 IS - 4 SP - 215 EP - 228 ER -