Abstract
O mundo pós-COVID-19 é claramente mais digital do que no passado e cursos como o Mestrado em Negócio Electrónico (MNE) são relevantes para capacitar os profissionais do nosso país para pensarem as actividades realizadas on-line ou suportadas em algum momento no digital. Esta revista apresenta trabalhos de investigadores-júnior realizados no contexto da unidade curricular Metodologias de Investigação e Comunicação Científica, que contam com a orientação de professores/investigadores-senior da escola de Ciências Empresariais (ISCAP) do Politécnico do Porto e de outras escolas/faculdades do ensino superior em Portugal.

Abstract
The objective of coalition formation is to partition the agent set that gives the highest utility to the system. Over the past three decades, the process of coalition formation has been applied to various real-life applications where agents need to form efficient groups to accomplish a task. This article presents a study of the state-of-the-art approaches on the applications of coalition formation. In particular, it surveys the algorithmic approaches for optimizing the system's welfare. The algorithms are then analyzed based on a framework that consists of two dimensions: (i) the features of the problem environment, which gives an overview of the complexity level of the environment, and (ii) the features of the problem solver, which gives an overview of the solution quality. Our study analyses the approaches in terms of the framework mentioned above, justifies the use of the approaches in a particular problem setting, presents guidance to choose the right algorithmic approach for a problem at hand, and classifies the state-of-the-art approaches according to their basic working principles. This article also presents possible future directions of work to the research community. This study shows that theoretical models need more research before they can be deployed in the real world.

Abstract
Covid-19 posed several challenges to all organisations in general and to social solidarity cooperatives in particular. However, the challenges faced by these cooperatives have unique features arising from their special characteristics compared to other types of cooperatives. Therefore it is vital to study these challenges and the impacts of covid-19. This study has as main goal to understand those challenges and their impact. An exploratory study was undertaken by applying 11 interviews to 11 social solidarity cooperatives. The cooperatives were chosen to be heterogeneous among the existent cooperatives in Portugal. This study corresponds to the first phase of a project that is still underway. This article presents the main results of the content analysis of the data collected from the interviews. Data show cooperatives could promptly adapt and continue their mission under pressure from the pandemic despite the first difficulties encountered in a new and unknown situation, showing a capacity to adapt and serve their members. However, these members were also submitted to several increasing and new challenges. The adaptations were possible due to legal changes in the work organisation law, from layoff to telework, government support involving financial programs, VAT, and other tax relaxation, as well as due to human resources reorganisation and the cooperatives' staff positive attitude towards the difficulties (both leaders and general workers). Differences between the social solidarity cooperatives under study concerning digital technologies showed that those already having some infrastructure had minor adapting difficulties.

Abstract
A unified view of the Information System (IS) design is essential for dealing with complexity. However, the literature proposes many denominations, depending on the layer, methodology, framework, or tool. This multitude of approaches does not allow a holistic view of the system. Besides, in Information Systems, the search for good practices in design is still a relevant issue. A subset of essential Unified Modeling Language (UML) diagrams is chosen to create a broad view of the IS. CRUD matrix is one of the preferred approaches to articulate the sub-systems of applications and data. Axiomatic Design (AD) provides rules for the im-provement of the IS design. This work presents a method to create object-oriented elements based on the CRUD matrix aligned with the business strategy. An integrated student-based case study on logistics is provided. In the discussion, a new IS architect role is proposed supported by the CRUD/AD method.

Abstract
O presente artigo estuda a influência dos fatores socioeconómicos dos diferentes municípios no sucesso educacional dos estudantes. Para verificar a existência de fatores relevantes para o percurso académico dos estudantes, foram obtidos datasets com descritores socioeconómicos por município, médias das notas dos exames nacionais e as taxas de sucesso dos alunos. Estes datasets foram submetidos a uma técnica de K-nearest neighbours para permitir encontrar valores de atributos em municípios com valores em falta. Foram, de seguida, aplicados algoritmos de classificação, através de árvores de decisão e regressão, que permitiram analisar quais os atributos socioeconómicos que tinham, potencialmente, maior relação com o sucesso escolar. O trabalho efetuado permite identificar alguns fatores como alvos de potenciais estudos futuros sem, no entanto, se verificar correlações fortes com nenhum atributo socioeconómico.;This paper studies the influence of the socio-economic factors of different municipalities on the educational success of students. To verify the existence of relevant factors to the academic course of the students, datasets were obtained with socio-economic descriptors by municipality, average grades of national exams and success rates of students. These datasets were submitted to a K-nearest neighbours technique to allow finding attributes in municipalities with missing values. Classification algorithms were then applied through decision and regression trees, which allowed analyzing which socio-economic attributes were potentially more related to school success. The work performed allowed identifying some factors as targets of potential future studies without, however, verifying strong correlations with any socio-economic attribute.

Abstract
Tendo por base um conjunto de dados dos clientes de uma empresa de produtos alimentares, tentamos implementar duas estratégias de data mining com o objetivo de compreender quais os atributos que melhor podem segmentar estes consumidores. Aplicamos primeiro um algoritmo de segmentação (k-means) para agrupar estes clientes e, seguidamente, utilizamos um algoritmo de classificação (árvore de decisão) para análise visual dos atributos que definiram os clusters da segmentação. Através da análise visual dos gráficos resultantes da indução de árvores de decisão conseguimos verificar que só o valor do salário dos clientes pode segmentar este conjunto de dados.;From a dataset of customers of a food company, we tried to implement two data mining strategies to understand which attributes can best segment these consumers. First, we applied a segmentation algorithm (k-means) to segment these customers and then we applied a classification algorithm (decision tree) for visual analysis of the attributes that defined the segmentation clusters. Through the visual analysis of the graphs resulting from the decision tree induction, we were able to verify that only the value of the customers' salary can segment this dataset.