Abstract
A Virtual Enterprise (VE) can be viewed as a project, with a lifecycle corresponding to the period between its creation and integration of the constituting elements until its dissolution, comprehending its operation and including its reconfigurations. The authors propose that the VE lifecycle is aligned and can be managed using the frameworks provided by several bodies of knowledge, such as the PMBoK Guide. In this paper the authors propose an alignment referential between the Project Management phases defined by PMBoK and management processes during the VE lifecycle. (C) 2017 The Authors. Published by Elsevier B.V.

Abstract
The project management area uses several techniques and tools to identify, select, monitor and manage the projects portfolio of the organizations. However, these techniques still present problems and difficulties which, sometimes, inhibit their use. Project Portfolio Management (PPM) is considered a problem of considerable difficulty and complexity, which requires its constant monitoring by the organization, according to the strategic guidelines chosen. Thus, this paper presents an innovative approach for selecting the portfolio of projects by using DEA, and the development of a set of generic indicators, to support the decision makers in considering multiple projects. Each decision maker can use all or some of the indicators proposed, thus each one's knowledge, sensitivity and intuition are taken into account, namely for indicators such as risk perception, level of innovation, market clock speed, project's complexity.

Abstract
During the last decade, the use and evolution of Information and Communication Technologies (ICT) in industry have become unavoidable. The emergence of the Industry Internet of Things (IIoT) promoted new challenges in logistic domain, which might require technological changes such as: high need for transparency (supply chain visibility); integrity control (right products, at the right time, place, quantity condition and at the right cost) in the supply chains. These evolvements introduce the concept of Logistics 4.0. In this paper, it is presented some reflections regarding the adequate requirements and issues enabling organizations to be efficient, and fully operational in Logistics 4.0 context. (C) 2017 The Authors. Published by Elsevier B.V.

Abstract
Currently Information and Communication Technologies (ICT) support most of the industrial manufacturing processes. The IT revolution has brought an important transformation in organizations with high impacts, which are comparable to the mechanization and electricity brought in the first and second industrial revolution. This evolvement has promoted the emergence of cloud-based systems, the Internet of Things (IoT), Big Data, Industry 4.0, BYOD (Bring Your Own Device) and CYOD (Choose Your Own Device) trends. However, new technological solutions always carry security vulnerabilities, which most of time reveal unexpected risks. In fact, with increasing reliance on technology to gain competitive advantage, security issues have been one of the most critical and challenging requirements for conducting successful business. In this paper, it is highlighted some reflections regarding the challenges of Industry 4.0 emphasizing the security issues, towards raising awareness for security good practices within Industry 4.0. (C) 2017 The Authors. Published by Elsevier B.V.

Abstract

Abstract
Nowadays, it is common for higher education institutions to use computer-based exams, partly or integrally, in their evaluation processes. These exams, much like their paper-based counterparts, are one of the most significant sources of stress in the life of students. However, the fact that exams are undertaken in a computer allows for new features to be acquired that may provide more reliable insights into the behaviour and state of the student during the exam. In this article we analyse these novel behavioural features and explore, to which extent, they can point out previously unknown phenomena. Specifically, we show that the time a student takes to complete an exam is correlated with mouse dynamics features. In practical terms, we are able to predict the duration of each individual exam with a satisfying error based on the interaction patterns of the student.