Abstract
The beginning of the innovation process also known as Front End of Innovation (FEI) is an important contributor to the successful development of new products and the business success. The present study aims at giving an overview of how the FEI concept has been handled over the years, by identifying the focus of the research conducted in this domain knowledge. To this end, this study unfolds an encompassing perspective by developing an analysis of existing publications against two FEI Reference Models. This analysis comprised of the compilation, selection, and review of the content of 169 publications concerning the Front End of Innovation. The period of analysis covered all years until 2015. Evidence shows that this topic has received greater attention in the recent years both regarding depth and the number of publications. However, there are still pending gaps in the literature that are highlighted in this paper. The topics addressing organisational issues were the ones that received more attention.

Abstract
This paper presents a comprehensive sensitivity analysis to identify the uncertain parameters which significantly influence the decision-making process in distributed generation (DG) investments and quantify their degree of influence. To perform the analysis, a DG investment planning model is formulated as a novel multistage and multiscenario optimization problem. Moreover, to ensure tractability and make use of exact solution methods, the entire problem is kept as a mixed-integer linear programming optimization. A real-world distribution network system is used to carry out the analysis. The results of the analysis generally show that uncertainty as well as operational variability of the considered parameters have meaningful impacts on investment decisions of DG. The degree of influence varies from one parameter to another. But, in general, ignoring or inadequately considering uncertainty and variability in model parameters has a quantifiable cost. Hence, the analysismade in this paper can be very useful to identify the most relevant model parameters that need special attention in planning practices.

Abstract

Abstract
Higher education institutions are at this stage, on the one hand, faced with challenges never seen before and, on the other hand, their action is moving very rapidly into digital learning spaces. These challenges are increasingly complex because of the global competition for resources, students and teachers. In addition, the amount of data produced inside and outside higher education institutions has grown exponentially, so more and more institutions are exploring the potential of Big Data to meet these challenges. In this context, higher education institutions and key stakeholders (students, teachers, and governance) can derive multiple benefits from learning analytics using different data analysis strategies to produce summative, real-time and predictive information and recommendations. However, it may be questioned whether institutions, academic administrative staff as well as including those with responsibility for governance, are prepared for learning analytics? As a response to the question raised in this paper is presented an extension of a disruptive conceptual approach to higher education, using information gathered by IoT and based on Big Data & Cloud Computing and Learning Analytics analysis tools, with the main focus on the stakeholder governance. © 2017 Association for Computing Machinery.

Abstract
The integration of social media in education has been raising new challenges for teachers, students and organizations, in both traditional and technology-mediated learnings settings. Formal higher education contexts are still mostly anchored and locked up in institutional LMS, despite the innumerous educational digressions that educators have been conducting throughout social media networks. One of the biggest challenges in contemporary educational needs consists on managing the integration, validation and reporting on educational processes, goals and student performance, when they are widely spread in several formal and informal contexts. In this chapter a system for the integration of LMS and social media is presented, as well as evidence on its practical usage. A set of social network analytics are also brought forward as features that are currently being added to the referred system.

Abstract
Seventy millennial students answered a survey on attitudes towards leadership and their desired approach to higher education. What is their perspective on knowledge management and dissemination in academia? Some romanticizing may be beneficial, but the great majority of students want to be enlightened and well-prepared for that which they will encounter in business markets. Three interviews with seasoned executives were also performed, to establish a contrast and see other perspectives. We conclude that to become a great corporate leader may in fact be dependent on your DNA and personality make-up, but this is not what is thought to be true, by the majority of the respondents in the survey. Motivation took the most votes as being fundamental for success, a positive sign and indicative of a hard working millennial generation, contrary to previous research findings. IT is also a precious partner in class, in particular Padlet.com, Moodle, the online News Forum, as well as the challenge to create original videos about course content.