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The purpose of this study is to analyze how embedding of self-powered wireless sensors into cloud computing further enables such a system to become a sustainable part of work environment.

This is exemplified by an application scenario in healthcare that was developed in the context of the OpSIT project in Germany. A clearly outlined three-layer architecture, in the sense of Internet of Things, is presented. It provides the basis for integrating a broad range of sensors into smart healthcare infrastructure. More specifically, by making use of short-range communication sensors (sensing layer), gateways which implement data transmission and low-level computation (fog layer) and cloud computing for processing the data (application layer).

A technical in-depth analysis of the first two layers of the infrastructure is given to prove reliability and to determine the communication quality and availability in real-world scenarios. Furthermore, two example use-cases that directly apply to a healthcare environment are examined, concluding with the feasibility of the presented approach.

Finally, the next research steps, oriented towards the semantic tagging and classification of data received from sensors, and the usage of advanced artificial intelligence-based algorithms on this information to produce useful knowledge, are described together with the derived social benefits.

The work presents an innovative, extensible and scalable system, proven to be useful in healthcare environments.

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.

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.

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.

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 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.

Authors present a cloud-based solution that leverages (BD) technology to provide essential insights into business process improvement. The proposed solution is aimed at measuring and improving overall business performance, especially in very large and complex cross-organisational business processes, where this type of visibility is hard to achieve across heterogeneous systems.

Three different (BD) approaches have been undertaken based on Hadoop and HBase. We introduced first, a map-reduce approach that it is suitable for batch processing and presents a very high scalability. Secondly, we have described an alternative solution by integrating the proposed system with Impala. This approach has significant improvements in respect with map reduce as it is focused on performing real-time queries over HBase. Finally, the use of secondary indexes has been also proposed with the aim of enabling immediate access to event instances for correlation in detriment of high duplication storage and synchronization issues. This approach has produced remarkable results in two real functional environments presented in the paper.

The value of the contribution relies on the comparison and integration of software packages towards an integrated solution that is aimed to be adopted by industry. Apart from that, in this paper, authors illustrate the deployment of the architecture in two different settings.

The case deals with a chain of hospitals, that has grown vary fast in last few years as a result of various acquisitions and new developments. The hospital chain is lagging behind in use of technology. The IT department is inward looking and the focus is more on provide support services rather than strategic orientation. A new CIO takes charge of the IT department and decides to transform IT from playing a support to strategic role. He identifies cloud computing as a tool to take the leap. The case provides an opportunity to discuss the type of service and deployment models of benefits of cloud technology. A rough data to do financial evaluation of cloud technology is presented. Evaluation parameters that may be used to decide on cloud versus in-house technology are also discussed.