Seruca, Isabel

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Seruca

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Isabel

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Isabel Seruca

Biografia

Isabel Seruca is an Associate Professor and a Researcher at the Science and Technology Department of Portucalense University, Porto, Portugal, where she teaches subjects in the area of Information Systems. She is currently the Coordinator of the Informatics Engineering and the Information Systems for Management study programmes and she is the Department Coordinator of the Erasmus+ Programme. She graduated in Applied Mathematics and Computation at Portucalense University and she has an MSc and a PhD degree both in Computation from the University of Manchester Institute of Science and Technology (UMIST). She is an integrated researcher of the Digital Transformation and Innovation in Organisations (DTIO) Group of REMIT (Research on Economics, Management and Information Technologies), Portucalense University and member of ISTTOS (Centro Algoritmi), a research unit in Information Systems and Technologies institutionally hosted by University of Minho. Her research interests are in the Information Systems area, namely in topics such as Business Intelligence, Data and Web Mining, Digital Transformation, Reuse and Patterns. She is currently a member of the research team of the Erasmus+ KA220 project on Data Science We Teach Data and she has participated in several Erasmus Intensive Programmes in the topics of Sustainable Digital Transformation (Erasmus BIP Circular Economy 2023; Erasmus BIP IoT 2022), Business Intelligence (Erasmus IP Miss LOGO 2008, 2009 and 2010), Web Mining (Erasmus IP WISDOM 2011, 2012 and 2013) and Data Science (Erasmus IP DasBuG 2014). She is a member of several program committees of international conferences, a co-editor of books and conference proceedings in Enterprise Information Systems and she has published several papers in refereed conferences and journals in the areas of Data Mining, Semantic Web, Digital Transformation and Patterns.

Identificadores

0000-0002-9951-6378
191B-FFC7-0BF6
6508239883
P-1273-2014

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REMIT – Research on Economics, Management and Information Technologies
Centro de investigação que que tem como objetivo principal produzir e disseminar conhecimento teórico e aplicado que possibilite uma maior compreensão das dinâmicas e tendências económicas, empresariais, territoriais e tecnológicas do mundo contemporâneo e dos seus efeitos socioeconómicos. O REMIT adota uma perspetiva multidisciplinar que integra vários domínios científicos: Economia e Gestão; Ciências e Tecnologia; Turismo, Património e Cultura. Founded in 2017, REMIT – Research on Economics, Management and Information Technologies is a research unit of Portucalense University. Based on a multidisciplinary and interdisciplinary perspective it aims at responding to social challenges through a holistic approach involving a wide range of scientific fields such as Economics, Management, Science, Technology, Tourism, Heritage and Culture. Grounded on the production of advanced scientific knowledge, REMIT has a special focus on its application to the resolution of real issues and challenges, having as strategic orientations: - the understanding of local, national and international environment; - the development of activities oriented to professional practice, namely in the business world.

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A mostrar 1 - 10 de 37
  • Miniatura
    PublicaçãoAcesso Aberto
    FCASM2T: The Tools and functionalities: Features identification process
    2015-10-07 - Ferreira, Maria João; Seruca, Isabel; Moreira, Fernando
    The huge popularity and evolution of the Web in the last decade, and the rapid advances in ICT allowed an exponential growth of the volume and diversity of data produced by social media. The widespread use of social media has encouraged citizens to give their opinions more freely and actively participate in several aspects of modern life. The data provided in this context can have a great impact on business, where often opinions of customers may contribute to the success of a product or service, or destroy the reputation of a brand or a company. The effective and full use of social media by organizations require that they are able to monitor and analyse the high volumes of heterogeneous data that are produced by these media, so as to obtain relevant information and valuable insights for decision making and for conducting their business. Due to the diversity of social media monitoring tools available and wide range of features offered, the FCASM2T (Framework for classification and adoption of social media monitoring tools) was proposed to classify and guide the process of adoption of such a tool (or set of tools) by an organization. This paper addresses the first stage of the framework, the Tools and functionalities/features identification process, describing its rationale and way-of-working.
  • Miniatura
    PublicaçãoAcesso Aberto
    Contribuição dos Sistemas APS na gestão da produção: o Sistema Izaro APS®
    2011 - Sequeira, Filipe Porto; Seruca, Isabel
    Este artigo tem como objectivo a exploração de sistemas de informação orientados para a gestão da produção, em especial os sistemas Advanced Planning Systems (APS), Sistemas Avançados de Planeamento e Programação, destinados ao planeamento e optimização da produção em organizações industriais. A realização deste trabalho teve como base o período de estágio realizado por um dos autores na empresa Portuguesa Softi9, que se dedica ao desenvolvimento e comercialização de sistemas de informação orientados para a gestão e produção industrial. O trabalho apresentado incide no Sistema de Planeamento e Optimização da Produção Izaro APS® desenvolvido e comercializado pela Softi9, sendo apresentada uma análise dos conceitos e funcionalidades oferecidos pela nova versão do sistema e descritos alguns testes realizados no âmbito do desenvolvimento da mesma.
  • Miniatura
    PublicaçãoAcesso Aberto
    FCASM2T: The tools and functionalities / Features identification process
    2015 - Ferreira, Maria João; Seruca, Isabel; Moreira, Fernando
    The huge popularity and evolution of the Web in the last decade, and the rapid advances in ICT allowed an exponential growth of the volume and diversity of data produced by social media. The widespread use of social media has encouraged citizens to give their opinions more freely and actively participate in several aspects of modern life. The data provided in this context can have a great impact on business, where often opinions of customers may contribute to the success of a product or service, or destroy the reputation of a brand or a company. The effective and full use of social media by organizations require that they are able to monitor and analyse the high volumes of heterogeneous data that are produced by these media, so as to obtain relevant information and valuable insights for decision making and for conducting their business. Due to the diversity of social media monitoring tools available and wide range of features offered, the FCASM2T (Framework for classification and adoption of social media monitoring tools) was proposed to classify and guide the process of adoption of such a tool (or set of tools) by an organization. This paper addresses the first stage of the framework, the Tools and functionalities/features identification process, describing its rationale and way-of-working.
  • Miniatura
    PublicaçãoAcesso Aberto
    Towards new experiences for international cooperation: A multidisciplinary ICT and business international project
    2019 - Suilen, K.; Wijgergangs, L.; Seruca, Isabel
    A new experience in International Cooperation was launched by Fontys Hogeschool ICT, Netherlands in the form of an Interdisciplinary ICT and Business International Project, involving Bachelor third-year students and teachers from several Higher Education Institutions (HEI) partners. The main project objectives are International cooperation and awareness, demonstrating entrepreneurship behavior and an interdisciplinary vision. This kind of International Cooperation overcomes the problems often found in other mobility actions’ applications under the Erasmus+ Programme framework, where high quality standards, rigid schemes of functioning and other selection criteria may hamper the possibilities for recognition and funding. This paper describes the development and implementation of an Interdisciplinary ICT and Business International project, supervised by the authors, aiming to develop innovative Business IT solutions under the central topic “Obesity & healthy lifestyle”. The project was developed both in loco and in a remote way, where the initial kick-off was made at Fontys ICT and the closure at the second HEI partner, Portucalense University and involved students from both HEIs with ICT and business backgrounds. The work of the four project student teams is described, the methodology and outcomes assessed and lessons learnt are highlighted. The results of the assessment, conducted to measure both learning outcomes and student satisfaction with and opinions of the project, are included along with a summary of the experience gained by students and teachers while taking part in the project. The paper aims to share implementation and assessment of such a project as an opportunity for HEI’s to acknowledge new ways of international cooperation, for entrepreneurship educators to learn from others' experiences, and to contribute to the entrepreneurship education literature.
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    PublicaçãoAcesso Aberto
    Using business intelligence techniques to increase the safety of citizens: the Tilburg case.
    2009 - Pascoal, Sérgio; Barandela, Jorge; Martins, Filipe; Silva, Daniel; Santos, Miguel; Seruca, Isabel
    The topic of applying Business Intelligence in a non-profit environment is quite unique and is still at an early stage. In this paper we report our experiences in applying Business Intelligence techniques to monitor safety indicators in the city of Tilburg, Netherlands. The work here reported was developed in the context of an Erasmus Intensive Programme (IP) project.
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    PublicaçãoAcesso Aberto
    Detection of outliers for a pharmaceutical distribution company in Portugal | Deteção de outliers numa empresa de distribuição farmacêutica em Portugal
    2016 - Ribeiro, Augusto; Durão, Natércia; Seruca, Isabel
    For pharmaceutical distribution companies it is essential to obtain good estimates of medicine needs, due to the short shelf life of many medicines and the need to control stock levels, so as to avoid excessive inventory costs while guaranteeing customer demand satisfaction, and thus decreasing the possibility of loss of customers due to stock outages. In this paper we explore the use of the time series data mining technique for the sales prediction of individual products of a pharmaceutical distribution company in Portugal. Through data mining techniques, the historical data of product sales are analyzed to detect patterns and make predictions based on the experience contained in the data. The results obtained with the technique as well as with the proposed method suggest that the performed modelling may be considered appropriate for the short term product sales prediction.
  • Miniatura
    PublicaçãoAcesso Aberto
    Modelo de implementação da Web Semântica nas empresas.
    2013 - Ferreira, Reinaldo; Seruca, Isabel
    A Web Semântica constitui um importante desafio para a utilização da Web na atualidade. A transformação progressiva da Web baseada nos documentos para a Web baseada nos dados dará origem a uma base de dados distribuída à escala da Web. Sendo a utilização da Web Semântica nas Empresas um tema ainda pouco explorado, este artigo propõe um Modelo de Implementação que permita facilitar a introdução desta tecnologia nas organizações e avaliar o impacto dessa introdução nas aplicações utilizadas e nas tarefas desempenhadas pelos utilizadores.
  • Miniatura
    PublicaçãoAcesso Aberto
    Software livre/open source vs. software proprietário na Educação
    2015-06 - Mota, Carla; Seruca, Isabel
    A par das tendências da utilização de software livre/open source a nível internacional, em Portugal tem também havido diversas recomendações na adoção deste tipo de software na Administração Pública e, em particular, nas Escolas. Nesse contexto, diversos benefícios têm sido associados à utilização de software livre/open source, nomeadamente poupança em termos de custos de aquisição de licenças, maior rentabilização do hardware existente, liberdade de utilização e possibilidade de partilha do código e independência em relação aos fabricantes de software. Este trabalho retrata uma experiência de utilização de software livre/open source numa Escola Básica do 2º e 3ºciclos, envolvendo alunos da disciplina de Tecnologias da Informação e Comunicação. Com a investigação realizada, pretendeu-se aferir se a utilização de software livre/open source condicionaria os objetivos e resultados de aprendizagem dos alunos visados, versus a situação de utilização de software proprietário.
  • Miniatura
    PublicaçãoAcesso Aberto
    On the road with the Erasmus IP Wisdom Project - improving an on-line business by applying Web Mining Techniques
    2019-11 - Dias, João; Seruca, Isabel
    The Web can be regarded as the largest database available and presents a challenging task for efficient design and access. Web mining aims at the discovery and analysis of useful information from the Web through the use of data mining techniques. In this paper we report our experiences in applying web mining techniques to an e-business platform of a retail company. The company related Web content data and its usage are analyzed with data mining tools. The underlying idea will be to address web marketing purposes, suggesting improvements for both the on-line business and the website. The work here reported was developed in the context of an Erasmus Intensive Programme (IP) project.
  • PublicaçãoAcesso Restrito
    Analysis of students performance in a higher education institution - conditioning factors and new strategies: an approach based on business intelligence
    2020 - Pereira, José; Lopes, Filomena Castro; Seruca, Isabel
    The trend of massification seen in recent years in Higher Education (HE) in Portugal has provided access to groups of students very different socio-culturally from each other, with a greater presence of non-traditional students, that is, worker-students, International students, students from professional and technological specialization courses and special regimes (e.g. Higher than 23 years). Associated with the diversity of students who access HE, the question arises of their academic skills and motivations, since the instituted numerus clausus system favors the increase in the percentage of students not placed in first option “course-institution” pairs. On the other hand, the implementation of quality assurance systems in Higher Education Institutions (HEIs) and the increased requirements for accreditation of courses and research centers lead HEIs to be increasingly concerned with issues related to improving teaching-learning and training efficiency. HEIs therefore need instruments that allow them to better understand who their natural candidates are and what factors influence the academic success rate of students enrolled in their courses. With this information available, they will be able to act more precisely in the specific and more personalized follow-up of groups of students with characteristics of identified education path/academic results, as well as optimize their resources in the training offer and consequently in attracting students. The work reported in this paper aims to analyze, using a Business Intelligence (BI) system, the characteristics of students enrolled in the various courses of a Portuguese HEI, and to determine the influence of several factors on students' academic success. These factors include data related to students’ academic background prior to entering HE and sociodemographic data that will be crossed with information regarding students' performance along and in the completion of the HEI enrollment course. For this purpose, a sample of students enrolled in 1st cycle courses of the HEI between 2011 to 2019 was used, considering the following variables for the analysis: secondary school attended, admission regime and grade, gender, age, region of provenance, educational level and parents’ professional situation. These data were previously anonymized and correlated with data related to the students' performance during the course and employment situation at the end of the course. The QlikSense BI tool was used and the analysis of indicators and correlations carried out were made available through a performance monitoring system. The contribution of this work is two-fold. On the one hand, the study of the indicators and segmentation of students carried out within the scope of this project may serve as a basis for a better knowledge of the profiles of students of the target HEI and an understanding of the factors that influence the academic and professional success of students. With the knowledge obtained, the HEI will be able to more easily design a differentiating strategy for the enrolled students, taking into account their respective profiles and evidenced needs, improving the training offer and creating opportunities at curricular and extracurricular level, as well as providing adapted tutoring projects to the various groups. On the other hand, the training efficiency indicators and correlations identified may serve as a basis for other projects and initiatives to analyze the performance of students in HE.