TY - JOUR A1 - Álvarez-Rodríguez, Jose María A1 - Colomo-Palacios, Ricardo A1 - Stantchev, Vladimir T1 - Skillrank: towards a Hybrid Method to Assess Quality and Confidence of Professional Skills in Social Networks JF - Scientific Programming N2 - The present paper introduces a hybrid technique to measure the expertise of users by analyzing their profiles and activities in social networks. Currently, both job seekers and talent hunters are looking for new and innovative techniques to filter jobs and candidates where candidates are trying to improve and make their profiles more attractive. In this sense, the Skillrank approach is based on the conjunction of existing and well-known information and expertise retrieval techniques that perfectly fit the existing web and social media environment to deliver an intelligent component to integrate the user context in the analysis of skills confidence. A major outcome of this approach is that it actually takes advantage of existing data and information available on the web to perform both a ranked list of experts in a field and a confidence value for every professional skill. Thus, expertise and experts can be detected, verified, and ranked using a suited trust metric. An experiment to validate the Skillrank technique based on precision and recall metrics is also presented using two different datasets: (1) ad hoc created using real data from a professional social network and (2) real data extracted from the LinkedIn API. Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0298-opus4-7264 ER - TY - JOUR A1 - Schermuly, Carsten C. A1 - Draheim, Michael A1 - Glasberg, Ronald A1 - Stantchev, Vladimir A1 - Tamm, Gerrit A1 - Hartmann, Michael A1 - Hessel, Franz T1 - Human resource crises in German hospitals: an explorative study JF - Human Resources for Health N2 - The complexity of providing medical care in a high-tech environment with a highly specialized, limited labour force makes hospitals more crisis-prone than other industries. An effective defence against crises is only possible if the organizational resilience and the capacity to handle crises become part of the hospitals’ organizational culture. To become more resilient to crises, a raised awareness — especially in the area of human resource (HR) — is necessary. The aim of this paper is to contribute to the process robustness against crises through the identification and evaluation of relevant HR crises and their causations in hospitals. Qualitative and quantitative methods were combined to identify and evaluate crises in hospitals in the HR sector. A structured workshop with experts was conducted to identify HR crises and their descriptions, as well as causes and consequences for patients and hospitals. To evaluate the findings, an online survey was carried out to rate the occurrence (past, future) and dangerousness of each crisis. Six HR crises were identified in this study: staff shortages, acute loss of personnel following a pandemic, damage to reputation, insufficient communication during restructuring, bullying, and misuse of drugs. The highest occurrence probability in the future was seen in staff shortages, followed by acute loss of personnel following a pandemic. Staff shortages, damage to reputation, and acute loss of personnel following a pandemic were seen as the most dangerous crises. The study concludes that coping with HR crises in hospitals is existential for hospitals and requires increased awareness. The six HR crises identified occurred regularly in German hospitals in the past, and their occurrence probability for the future was rated as high. KW - Crises Management KW - Hospital Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:0298-opus4-7288 VL - 40 IS - 13 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 - TY - CHAP A1 - Stantchev, Vladimir T1 - Mathematical Models for Data Analysis in Econometrics N2 - Keine Angabe No details KW - Data Analysis KW - Econometrics Y1 - 2015 N1 - Volltext aus urheberrechtlichen Gründen nicht verfügbar. Fulltext due to copyright not available. ER - TY - CHAP A1 - Stantchev, Vladimir T1 - Mathematical Models for Data Analysis in Healthcare N2 - Keine Angabe No details KW - Data Analysis KW - Healthcare Y1 - 2015 N1 - Volltext aus urheberrechtlichen Gründen nicht verfügbar. Fulltext due to copyright not available. ER -