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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.
ISMS core processes: a study
(2016)
Adjustment and cost-effectiveness are key elements of a successful Information Security Management System (ISMS). ISMS-Processes, as basic elements of every ISMS, need to be aligned to the organization and their mission. Actually a specific ISMS process framework which clearly differentiates between ISMS processes and security measures controlled by ISMS-processes does not exist. ISMS processes itself are not focused in current research. This article will fill this research gap while containing the results of a study to identify criteria for ISMS core processes as well as to identify relevant ISMS core processes.
Adjustment and cost-effectiveness are key elements of a successful Information Security Management System (ISMS). ISMS-Processes, as basic elements of every ISMS, need to be aligned to the organization and its mission. As of today, a specific ISMS process framework does not exist. ISMS processes are not in focus of current research. This article aims to fill this research gap by presenting results of a process mapping study regarding ISMS processes in the most important and widely accepted international standards for Information Security Management. Authors propose a set of ISMS processes within an ISMS process framework which should be implemented at an individually appropriate maturity level.
Purpose – 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.
Design/methodology/approach – 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).
Findings – A technical in-depth analysis of the first two layers of the infrastructure is given to provereliability 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.
Practical implications – 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.
Originality/value – The work presents an innovative, extensible and scalable system, proven to be
useful in healthcare environments.
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.
Due to an unsatisfying demographic development in most European states, companies have to solve a trade-off between a needed increase of productivity on the one hand and fewer highly skilled employees on the other hand. In this paper, authors propose factors for different layers of a framework to manage scarce resources in IT-departments. These layers aim for different relevant dimensions of employee satisfaction like wages, psychological development of employees and work life balance. Authors present a structured literature review to screen relevant publications on the topic. This paper offers white range of different factors regarding the management of labour shortage and highly skilled employees in companies which can be used to build a holistic model or framework to solve the challenges of the upcoming demographic change in Europe. Although the topic is quite popular in scientific literature, there is not a study devoted to identify these factors in organizational contexts. This paper is aimed to bridge this gap.
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.
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.
In this work a tailored approach for requirements engineering for risk management solutions is presented. The approach focuses on cross-disciplinary risk paradigms in inpatient healthcare and aims to provide a novel methodology that accounts for specific viewpoints of relevant expert groups. The presented results demonstrate the feasibility and usefulness of the approach in the context of the current evaluation within the German market.
Assessment of Continuing Educational Measures in Software Engineering: a View from the Industry
(2016)
In a field like Software Engineering, highly dependent on knowledge, continuing education is key to warrantee business sustainability. In this scenario, relying on continuing educational measures is crucial to support organizations in their competence management programs. In order to validate a set of measures, in this paper an interview study regarding continuing education measures is reported. The study was carried out in late 2014, early 2015 with some of the most experienced SE professionals from the consulting company BearingPoint. Study findings suggest an increasing relevance of such educational measures. Furthermore, authors provide insights about relevant educational measures, improvement areas in employees’ training, commonly experienced problems, as well as instruments for control and evaluation.
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.
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.