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Publications

Publications by CESE

2020

Exploring the Linkages Between the Internet of Things and Planning and Control Systems in Industrial Applications

Authors
Soares, R; Marques, A; Gomes, R; Guardão, L; Hernández, E; Rebelo, R;

Publication
Lecture Notes in Mechanical Engineering - Progress in Digital and Physical Manufacturing

Abstract

2020

Industrial business associations improving the internationalisation of SMEs with digital platforms: A design science research approach

Authors
Costa, E; Soares, AL; de Sousa, JP;

Publication
International Journal of Information Management

Abstract
This paper aims to contribute to the lack of design knowledge on digital platforms (DPs), by studying the new and specific context of DPs managed by industrial business associations (IBAs) to improve the internationalisation of small and medium enterprises (SMEs). A specific objective is to elicit detailed digital platform's requirements and features for this particular organisational context. A design science research (DSR) approach is adopted to develop design propositions (the artifact), following the context-intervention-mechanism-outcome logic (CIMO-logic). The design propositions are derived for DPs that can support different types of generative mechanisms of social interaction: information sharing, collaboration, and collective action. The design propositions are obtained by balancing empirical knowledge based on interviews performed with IBAs and SMEs in Portugal and in the UK, with theoretical knowledge from the literature of information systems, DPs and collaborative networks (CNs). The utility of the design propositions is further evaluated by experts and IBAs. The findings are proved to be relevant for practice, mainly for IBAs, SMEs, and digital platform designers to develop more effective collaborative DPs and sociotechnical systems, supporting CNs and the internationalisation needs of SMEs. The knowledge generated in this study brings new design knowledge on DPs, contributing with design propositions translated into tangible and concrete requirements and capabilities, situated in a specific context and empirical setting. © 2020

2020

Portuguese textile association fostering the internationalisation of small and medium-sized enterprises

Authors
Silva, SCe; Elo, M; Sousa, JPD; Costa, E; Soares, AL;

Publication
International Journal of Entrepreneurship and Small Business

Abstract

2020

O processo de formac¸a~o de parcerias intersetoriais em iniciativas de inovac¸a~o social em Portugal

Authors
Borges, MA; Aparecida Dandolini, G; Lucas Soares, A;

Publication
Análise Social

Abstract

2020

Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks

Authors
de Sa, CR; Shekar, AK; Ferreira, H; Soares, C;

Publication
Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)

Abstract

2020

A Decision-Support System for Preventive Maintenance in Street Lighting Networks

Authors
Carneiro, D; Nunes, D; Sousa, C;

Publication
Advances in Intelligent Systems and Computing

Abstract
An holistic approach to decision support systems for intelligent public lighting control, must address both energy efficiency and maintenance. Currently, it is possible to remotely control and adjust luminaries behaviour, which poses new challenges at the maintenance level. The luminary efficiency depends on several efficiency factors, either related to the luminaries or the surrounding conditions. Those factors are hard to measure without understanding the luminary operating boundaries in a real context. For this early stage on preventive maintenance design, we propose an approach based on the combination of two models of the network, wherein each is representing a different but complementary perspective on the classifying of the operating conditions of the luminary as normal or abnormal. The results show that, despite the expected and normal differences, both models have a high degree of concordance in their predictions. © 2020, Springer Nature Switzerland AG.

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