Abstract
Purpose The purpose of this paper is to identify the antecedents and consequences of social media fashion influencer's (SMFI) diffusion of fashion information. This study proposes and examines following research questions: What motivates SMFI to share fashion information? In what way shared fashion information impact SMFI? Design/methodology/approach This study uses semi-structured interviews with SMFI to learn about their relationships with followers. It then conducts a survey of 510 SMFI in Portugal. The data are analyzed by structural equation modeling. Findings The results indicate that intrinsic motivation can develop a SMFIs' fashion leadership, while the SMFIs' perceived usability of fashion blogs does not. The authors also find a self-serving bias among SMFI. Research limitations/implications SMFIs' fashion leadership is associated with the intrinsic motivations of sharing and helping other consumers make fashion decisions, which indicates that marketers can improve their results through using opinion SMFI to assist fashion consumers in purchasing decisions. Further studies should explore the processes adopted by fashion consumers to evaluate SMFI. Originality/value This study helps to understand the antecedents and consequences of fashion diffusion by SMFIs. In particular, the research helps the marketers to understand how the bonds between SMFIs and followers are nurtured.

Abstract
This paper addresses Three-Dimensional (3D) reconstruction of historical sites with an Unmanned Aerial Vehicle (UAV), combining the information from a visible spectrum camera with a Light Detection and Ranging (LiDAR). The developed solution was validated in two sites located in Monastery of Tibães (Braga, NW Portugal), within the scope of MineHeritage project, which intends to reach society on the importance of raw materials through a historical approach. The outputs obtained from the datasets, resulted in a successfully 3D reconstruction of the two studied sites on the Monastery. Although the research is still ongoing on this topic, this paper is a starting point and an important contribution to this field and this type of scenarios. © CLAWAR Association Ltd.

Abstract
The automotive industry faces major megatrends such as climate change and emissions control, digital transformation, and increased customer power, resulting in more intensive competition, and higher sophisticated vehicles. The application of QFD (Quality Function Deployment) can be particularly valuable to link customer expectations with the technical characteristics of the product. In the case of products, such as batteries for electric vehicles, where technology is not yet mature, and the technical requirements (e.g., autonomy) are continuously more demanding, this is particularly relevant. The QFD customer-oriented product development technique is applied to a cover of a battery pack, to improve the negotiation process with the car manufacturer, the automotive industry battery components supplier company and its suppliers, to ensure market success once the product is released. The application of the HoQ revealed that Product Design and Tolerancing are the main technical requirements with the most impact over the battery cover development, followed the Leakage ratio. This research confirms that the voice of the customer could be quite generic, and it is critical that these requirements are translated into engineering requirements, which, in turn, can be translated into items that can be measured quantitatively and actionable within the company. The application of the affinity diagram was found to be quite valuable to address the significant amount of subjective information, and it is also relevant that OEMs have a desire to standardize the electric vehicle platforms at least on fewer and general sizes, hinting the need for more collaborative team approaches. © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the FAIM 2021.

Abstract

Abstract
This paper presents an innovative modular autonomous underwater vehicle (MARA) developed for the exploration of underwater confined spaces such as underwater caves, flooded underground mines or complex tight infrastructures in underwater environments. The particular mission scenario of exploration of flooded underground mines was used as a key driver for the robot development. The autonomous underwater vehicle is described from the mechanical, hardware and software points of view. The availability of the INESC TEC underwater systems test tank and access conditions to Porto harbour and the Urgeirica mine allows for easy robot field validation. Preliminary results are also presented and discussed.

Abstract
Aprender a programar geralmente é um desafio para os estudantes: cada aluno possui suas dificuldades individuais e os professores precisam identificá-las para dar o suporte necessário a seus alunos. Neste sentido, este artigo apresenta parte dos resultados obtidos em uma Revisão Sistemática de Literatura sobre o processo de aprendizagem de algoritmos e programação. O principal objetivo do trabalho aqui apresentado é apontar as principais dificuldades e desafios vividos pelos alunos do nível superior em disciplinas de Algoritmos e programação, bem como o que estas dificuldades podem acarretar aos alunos ao longo do seu percurso acadêmico. A escolha pelo método da pesquisa se deu pelo fato de que a Revisão Sistemática de Literatura apresenta um tipo de estudo cuja metodologia é bem definida, sendo capaz de avaliar a pesquisa de maneira criteriosa, confiável e objetiva. Para este estudo, a revisão foi realizada em quatro bases de dados: Web of Science, Scopus, IEEE Xplore e RCAAP. Para tanto, foi definida uma questão de revisão, as palavras-chave, a equação necessária ao estudo, bem como o protocolo de revisão. Inicialmente foram encontrados 350 artigos, dos quais 169 artigos foram pré-selecionados. Após a aplicação dos critérios de inclusão e exclusão, 33 artigos foram selecionados para a análise e desenvolvimento deste trabalho. Com a análise, pudemos verificar e categorizar as dificuldades e desafios enfrentados pelos estudantes durante o processo de aprendizagem de algoritmos e programação. Com os resultados apresentados, este artigo pode contribuir com uma visão geral capaz de servir de ponto de partida para outras pesquisas, bem como para auxiliar docentes e estudantes na percepção destas dificuldades.