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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.
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.
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.
The authors propose a resource management process for information security management systems to more transparently plan and assign costs of controls. The process relies on and is compliant with international standards of the ISO/IEC 27000 family and can be implemented by all organizations regardless of type, size, or nature.
Modern day labour market is influenced by different factors, mainly by ambitious investment in latest machinery, office automation software systems and computer-based solutions. Utilization of computer has benefited the employment market on vast scale, depending on the requirements of a particular business, its size and financial capabilities, and the intention to use. Furthermore, unparalleled technologies, such as cloud computing and smart technologies has directly affected demand for modern day labour. Nowadays, the utility model of cloud computing made it more popular and a favourite choice for the institutes to free up their internal resources and also reduce the number of administrative staff needed to maintain it. With certain kinds of offerings, institutes operating at small scales are also benefitting, which was almost impossible only a decade ago. Given that, the successful utilization of cloud computing remains a topic of extra ordinary importance among the scholars, experts, interested groups and several other institutions, and is defined in different ways according to their particular understanding and usage. But cloud is best defined by National institutes of standard and technology.
Purpose Without effective implementation, no information technology (IT) strategy can succeed. There has been much re-search into IT planning, but few studies have developed one of the most important phases of IT strategy: IT Implementation. IT implementation can be improved at information and communication technology (ICT) organizations through the use of organization learning models (OLM) and the implementation of ICT tools. This paper has two purposes define an OLM framework that determines the best practices to increase knowledge at individual, group and/organizational levels, and define and implement an ICT tool to facilitate the integration and institutionalization of the OLM. The ICT tool is based on the technology roadmapping technique that allows an organization to manage at an executive level what, when and how the IT strategy is going to be implemented. Design/methodology/approach This paper is based on a case study performed at an ICT organization that provides ICT services to financial institutions. The study was carried out in 2014. It analyzed over 24,000 projects, which translated into an equivalent of more than 18 million man-hours. The proposal was assessed at a very large ICT organization. Findings This paper proposes a framework called SPIDER to effectively implement OLMs based on Big Data management principles for monitoring and reporting current status of IT innovation strategies. These kinds of approaches contribute to solve the problems identified in the state-of-the-art regarding the communication and monitoring the implementation status of IT innovation strategies. During this research work, several factors that are essential to implement these kinds of approaches in large banking organizations were identified: effort required to elaborate the monitoring and reporting activities; easiness to understand the reported information; detailed planning of the implementation program; and focus on communication efficiency. Originality/value This paper determined the best practices to manage knowledge generated during the implementation of an IT strategy. Additionally, this paper defined and implemented an ICT tool to properly communicate and monitor the implementation of an IT innovation strategy, based on technological roadmap techniques.
This paper provides an overview of cloud governance aspects based on a representative survey of trends in the perception, assessment and adoption of cloud computing within the enterprise. The survey was conducted through a twofold research approach and combined a meta-study of existing and published empirical studies with an own empirical study within a representative group of European and international enterprises. We consider governance through the prism of adoption drivers and focus on the role of cloud brokers and cloud marketplaces more specifically, as well as the inclusion of semantic based strategies oriented to enhance the quality of service offered by cloud service brokers.
Cloud-Computing, insbesondere „Software as a Service (SaaS)“ und „Platform as a Service (PaaS)“ ist zugleich Herausforderung und Chance für IT-Anwender. Marktplatz-Ansätze aus der Welt der mobilen Applikationen (App Stores) können eine Grundlage für die Vermarktung von Software-Diensten darstellen. Ihre Konzepte lassen sich jedoch nur durch eine erweiterte Betrachtung von funktionalen und nicht-funktionalen Aspekten der webbasierten Dienste in die Welt des Cloud Computing übertragen.
Application Stores und Marktplätze für webbasierte Dienste (z.B. Asperado, Cloud-Portal, Software-Marktplatz) helfen bei Identifizierung und Bewertung der Angebote und bei der Kommunikation mit potentiellen Kunden.
We present MagicMap, a cooperative, hybrid positioning system developed at the Humboldt-University in Berlin. While most other positioning systems are limited to specific scenarios and technologies our system provides means to incorporate any available wireless networking technology. Currently, MagicMap supports WLAN, RFID, and ZigBee as wireless technologies for positioning and Linux, Windows, and Windows CE as platforms. Position calculation and exchange is based on a cooperative approach allowing an open internet community to share the required data.