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The purpose of this paper is to explore and compare emotions perceived while coding and presenting for software students, comparing three different countries and performing also a gender analysis.

Empirical data are gathered by means of the discrete emotions questionnaire, which was distributed to a group of students (n = 174) in three different countries: Norway, Spain and Turkey. All emotions are self-assessed by means of a Likert scale.

The results show that both tasks are emotionally different for the subjects of all countries: presentation is described as a task that produces mainly fear and anxiety; whereas coding tasks produce anger and rage, but also happiness and satisfaction. With regards to gender differences, men feel less scared in presentation tasks, whereas women report more desire in coding activities. It is concluded that it is important to be aware and take into account the different emotions perceived by students in their activities. Moreover, it is also important to note the different intensities in these emotions present in different cultures and genders.

This study is among the few to study emotions perceived in software work by means of a multicultural approach using quantitative research methods. The research results enrich computing literacy theory in human factors.

Smart cities require data governance to articulate data sharing and use among relevant stakeholders. Given the lack of a comprehensive examination of this research topic, this study aims to review data governance publications to detect and categorize endeavors backing up data sharing in smart cities.

A systematic literature review was conducted, and 568 academic and professional sources were identified, but finally, only 10 relevant papers were selected.

Results reveal that data governance must be based on well-defined mechanisms, procedures and roles to achieve accountability and responsibility in a multi-actor environment. Moreover, data governance should be adapted to address power imbalances among all interested parties.

The main limitation is the list of sources considered for the literature review. However, this study provides a holistic overview for researchers and professionals willing to know more about smart city data sharing.

This review identifies the data governance approaches supporting data sharing in smart cities, analyzes their data dimension, enhances the state-of-the-art literature on this topic and suggests possible areas for future research.

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.

The aim of this paper is to present an initiative to apply the principles of Linked Data to enhance the search and discovery of OpenCourseWare (OCW) contents created and shared by the universities.

This paper is a case study of how linked data technologies can be applied for the enhancement of open learning contents.

Results presented under the umbrella of OCW-Universia consortium, as the integration and access to content from different repositories OCW and the development of a query method to access these data, reveal that linked data would offer a solution to filter and select semantically those open educational contents, and automatically are linked to the linked open data cloud.

The new OCW-Universia integration with linked data adds new features to the initial framework including improved query mechanisms and interoperability.

The aim of this paper is to present a tool which uses semantic technologies for personnel performance and workplace learning assessment in outsourced information technology environments.

The paper presents the tool from a technical perspective and introduces a use case that depicts the main features related to human resource management issues.

Semantic technologies enable the monitoring of personnel throughout all of the phases of the management of outsourcing, basing itself on established communication standards used in leading business management tools and recent outsourcing efforts. This monitoring provides to human resource management issues an integrated approach to assess both employee performance and learning outcomes as a result of competence evaluation.

The paper shows that semantic technologies can be applied to human resource management tools to bring its intrinsic characteristics to human resource management tasks including personnel and learning assessment.

The purpose of this paper is to examine the mediating effect of trust on the relationship between the type of information exchange (IE) and information disclosure (ID) on social networking web sites (SNWs).

Constructs were developed for type of IE and trust. To understand the mediating role of trust a mediation analysis was conducted. To test for mediation effects, the four step procedure of partial mediation analysis was used.

There was found to be a partial mediating effect of trust on the relationship between the type of IE and ID on SNWs.

Since the basis of formation of the communities is similarities, when there is trust amongst the community members they would not post false profiles but real profiles and the extent of ID would be higher.

In most of the studies it is suggested that the type of exchange and trust is dependent upon information disclosure, as against the study in which we found that it is the type of exchange and the trust which lead to increased ID.

The purpose of this paper is the presentation of a new method for blog quality assessment. The method uses the temporal sequence of link creation events between blogs as an implicit source for the collective tacit knowledge of blog authors about blog quality.

The blog data are processed by the novel method for the assessment of blog quality. The results are compared to Google Page Rank with respect to the Gold Standard, the BlogRazzi Bookmark Rank.

The method is similar or better than Google Page Rank with respect to the chosen Gold Standard.

The major contribution of this paper is the introduction of a novel method for blog quality assessment. Even though its superiority to other and more established methods cannot be proven in the context of this limited study, it enriches the toolset available for blog quality assessment and may become important for a deeper understanding of organizational learning.

The paper aims to explore the performance of redundancy and novelty mining in the business blogosphere, which has not been studied before.

Novelty mining techniques are implemented to single out novel information out of a massive set of text documents. This paper adopted the mixed metric approach which combines symmetric and asymmetric metrics.

The results show that the novelty mining system can detect novel and redundant blogs in the dataset of business blogs with a very high accuracy.

This paper shows that novelty mining techniques can be applied to business blogs to help organizations filter redundant information, and that the cosine and mixed metrics approaches produce better results.

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.