Abstract

Abstract
Purpose - The importance of innovation as a generator of competitive advantage and the collaborative nature of this process are recurring themes in the literature. This paper aims to contribute to the improvement of knowledge about the relationship between supply chains and the innovation process by means of a systematic literature review. Methodology/approach - The method used consists of the identification, selection, analysis and synthesis of existing research on the subject and aims to ensure that the review is transparent, auditable and replicable. This paper presents the analysis of 94 papers from 37 journals and the major contributions are explored. Findings - The identification and analysis of relevant articles showed the complexity, timeliness and the wide-ranging character of the theme. The analysis of articles allowed the identification of facilitators of the innovation process, as well as five approaches applicable to supply chains to drive the innovation process. From these analyses, a model synthesising the main practices identified for improving innovation performance is presented. Research limitations/implications - When carrying out literature reviews, the selection of articles might be considered subjective. To circumvent this limitation, the papers have been assessed by three researchers. Practical implications - The results presented can be applied in the decision-making process by managers in the areas of innovation and supply chain. Originality/value - This paper synthesises knowledge involving the relationships between supply chains and the innovation process. The analysis is based on quantitative and qualitative criteria.

Abstract
Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors' research group has developed a multi-agent system: Multi-Agent System for Competitive Electricity Markets (MASCEM), which simulates the electricity markets environment. MASCEM is integrated with Adaptive Learning Strategic Bidding System (ALBidS) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. This paper presents the application of a Support Vector Machines (SVM) based approach to provide decision support to electricity market players. This strategy is tested and validated by being included in ALBidS and then compared with the application of an Artificial Neural Network (ANN), originating promising results: an effective electricity market price forecast in a fast execution time. The proposed approach is tested and validated using real electricity markets data from MIBEL - Iberian market operator. © 2015 Elsevier B.V.

Abstract
Power industry has been deeply restructured in recent decades. Along this period vertically integrated structures evolved to more disaggregated models in which some activities are now provided under competition as generation and retailing while some others are provided under regulated monopolies as network transmission and distribution. Simultaneously, most countries started to encourage the use of renewable sources, namely to cope with environmental issues and to enlarge the energy independency. Having in mind these ideas and given the development of the Iberian Electricity Market and the increase of the installed capacity in units paid by feed-in tariffs, it becomes important to estimate the impact of this feed-in generation in the market prices. This paper describes the approach that was developed to estimate this impact and the implemented software application. This application was then used to evaluate the impact on prices on all trading hours of 2013 of the Portuguese photovoltaic generation, the Portuguese wind generation, all the Portuguese feed-in generation and also all the Iberian feed-in generation.

Abstract
Since the dawn of human civilization that cooperation among individuals is observed. In the most primitive stage this phenomenon was manifested through hunting groups, progressing to the construction of objects and buildings and in a later phase in the construction of modem society itself. Nowadays with the advent of technology and rise of ICT, collaborative processes across workgroups in organizations have been increasingly supported by this concept. The use of technology for supporting collaborative processes of working groups led to the creation of areas of study as CSCW and Groupware. In the health area, collaborative platforms have been used for supporting medical distance learning, social networks for collaboration, patient monitoring, discussion forums and sharing of medical media content. This paper has the goal of analyzing teclmological advances and the application of collaborative platforms in the health area, through an exploratory work of literature and application analysis and discussion.

Abstract
In recent years Serious Games have gained a new importance, very driven by the proliferation of video games and its application in diverse areas. Cognitive rehabilitation is a major area where Serious Games can assume a relevant role. Traditional cognitive therapies quickly become repetitive and discouraging for patients. To mitigate these problems, Serious Games based tools are necessary to create more dynamic rehabilitation processes, holding the attention of the patients throughout the process and motivating them during their road to recovery. This paper describes a web platform for Serious Games in cognitive rehabilitation that integrates a set of features that include natural and multimodal user interfaces and social features (collaboration, competition and handicapping) which can be used to augment the motivation of patients during the rehabilitation process. Results observed in a study with healthy subjects indicate that the platform offers good usability.