ESTiG - Editoriais, Cartas, Notas, Prefácios, Indexados à WoS/Scopus
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- Rethinking marketing and communication in the digital era: innovation, sustainability, and inclusion in focusPublication . Borges, Ana Pinto; Vieira, Elvira Pacheco; Remondes, Jorge; Rodrigues, Paula; Skvarciany, ViktorijaIn today’s rapidly evolving global landscape, digital technologies and cultural transformations are profoundly reshaping the fields of marketing and communication. The emergence of artificial intelligence, the emphasis on value co-creation, innovations in vocational education, and the growing focus on inclusive and sustainable tourism are not merely trends—they signal a fundamental shift in how organizations operate, engage with stakeholders, and define strategic priorities. These shifts demand more than technical adaptation; they require a rethinking of business models, communication practices, and the role of data and analytics in decision-making (Cosa, 2024; Dutt et al., 2024; Omol, 2024). This Special Issue of the International Journal of Marketing, Communication and New Media, titled “Transformative Insights for Marketing and Communication in the Digital Era,” brings together thirteen peer-reviewed papers originally presented at the fifth edition of the International Conference on Applied Business and Management (ICABM2024). The conference was held on 20 and 21 June 2024 at ISAG – European Business School, in collaboration with the Research Center in Business Sciences and Tourism (CICET-FCVC) of Consuelo Vieira da Costa Foundation. With 85 presentations delivered by national and international researchers from over 18 countries— including Algeria, Argentina, Chile, Colombia, Spain, France, Italy, Mexico, Nigeria, Pakistan, Poland, Portugal, Saudi Arabia, Tunisia, Turkey, the United Kingdom, and Vietnam— ICABM2024 provided a dynamic forum for critical dialogue and applied research across the fields of business, management, tourism, marketing, and innovation. The thirteen articles featured in this Special Issue reflect the diversity of themes, methodological approaches, and practical implications that defined the conference. Collectively, these contributions explore the transformative impact of digitalisation on consumer engagement, branding strategies, stakeholder communication, and sustainable development. In particular, the role of artificial intelligence in generating deep consumer insights and supporting data-driven marketing strategies is examined as a critical frontier for innovation and competitiveness (Rupigaa and Syahputra, 2025). In the editorial that follows, we outline the thematic structure of the selected papers and highlight their relevance for advancing contemporary debates in marketing and communication within the digital era.
- Special issue on ‘digital twins for smart production and logistics’Publication . Negri, Elisa; Matta, Andrea; Leitão, Paulo; Huang, George Q.
- Editorial: Educational robotics and competitionsPublication . Martins, Felipe N.; Lima, José; Oliveira, Andre Schneider; Costa, Paulo Gomes da; Eguchi, AmySTEM education endeavors to instill fundamental principles of science, technology, engineering, and mathematics, fostering a passion that propels students toward careers in these fields. Robotics, as a formidable educational tool, goes beyond theoretical learning by immersing students in practical projects that demand problem-solving skills. Its inherently multidisciplinary nature encourages the integration of knowledge from traditionally distinct disciplines, enriching the educational experience. In the ever-evolving landscape of STEM education, the integration of robotics has proven to be a dynamic catalyst for inspiring students and advancing research in science, technology, engineering, and mathematics. The latest strides in this interdisciplinary field are encapsulated in four articles published in the Research Topic on Educational Robotics and Competitions. These articles shed light on diverse aspects of robotics challenges, from virtual and real-world competitions to classroom applications.
- PrefacePublication . Borangiu, Theodor; Trentesaux, Damien; Leitão, PauloThis volume gathers the peer-reviewed papers presented at the 12th edition of the International Workshop on Service-oriented, Holonic and Multi-Agent Manufacturing Systems for the Industry of the Future, SOHOMA’22, organized on 22–23 September 2022 by the CIMR Research Centre in Computer Integrated Manufacturing and Robotics of University Politehnica of Bucharest in collaboration with Polytechnic University Hauts-de-France (the LAMIH Laboratory of Industrial and Human Automation Control, Mechanical Engineering and Computer Science) and Polytechnic Institute of Bragança (the CeDRI Research Centre in Digitalization and Intelligent Robotics). The main objective of SOHOMA workshops is to foster innovation in smart and sustainable manufacturing and logistics systems and in this context to promote concepts, methods and solutions for the digital transformation of manufacturing through service orientation and agent-based control with distributed intelligence. The theme of the SOHOMA’22 Workshop is ‘Virtualization—a multifaceted key enabler of Industry 4.0 from holonic to cloud manufacturing’.
- PrefacePublication . Prieto, Javier; Partida, Alberto; Leitão, Paulo; Pinto, AntónioThe 3rd International Congress on Blockchain and Applications 2021 will be held in Salamanca from 6 to 8 of October. This annual congress will reunite blockchain and artificial intelligence (AI) researchers, who will share ideas, projects, lectures, and advances associated with those technologies and their application domains. Among the scientific community, blockchain and AI are seen as a promising combination that will transform the production and manufacturing industry, media, finance, insurance, e-government, etc. Nevertheless, there is no consensus with schemes or best practices that would specify how blockchain and AI should be used together. Combining blockchain mechanisms and artificial intelligence is still a particularly challenging task.
- Welcome messagePublication . Lopes, Ana Cristina; Pires, Gabriel; Pinto, Vítor H.; Lima, José; Fonseca, PedroWelcome to the 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). ICARSC is an international scientific meeting in the field of Mobile Robotics financially co-sponsored by the Portuguese Robotics Society, IEEE Portugal Section and IEEE Portugal RAS Chapter and technically co-sponsored by the IEEE Robotics and Automation Society (RAS). ICARSC is currently a recognized international scientific conference in the field of autonomous robotics and competitions. This conference is promoted by Instituto Politécnico de Tomar and the Portuguese Society of Robotics, with the support from Tomar Municipality. Thank you all for participating in this conference. We hope you feel it as a highly productive and sociable event and that you will enjoy your staying in Tomar.
- Editorial: advances in machine learning approaches and technologies for supporting nervous system disease diagnosisPublication . Rodrigues, Pedro Miguel; Bispo, Bruno; Freitas, Diamantino Silva; Marques, João Alexandre Lobo; Teixeira, João PauloThe nervous system is essential for physical and mental health but is complex and delicate. As it can unfortunately be affected by several progressive diseases, an early diagnosis is often critical for effective treatment (Xu et al., 2022). The diagnosis of nervous system diseases traditionally relies on a combination of clinical examination, imaging and signals tests, and laboratory tests (Siuly and Zhang, 2016). However, these methods can be time-consuming, expensive, and not always accurate (Milligan, 2019). In an era marked by unprecedented technological advances in machine learning (ML), a computational tool that allows the identification of patterns in data that would be difficult or even impossible for humans, its application to assist in medical diagnosis emerges as a beacon of hope in the complex panorama of nervous system diseases. The Research Topic Advances in machine learning approaches and technologies for supporting nervous system disease diagnosis aims to shed light on the transformative role that ML-based approaches and technologies are playing in reshaping the way an ensemble of nervous system disorders are understood, diagnosed, and treated.
- PrefacePublication . Almeida, João P.; Relvas, Susana; Oliveira, José F.; Pinto, Alberto A.In 2019, APDIO has organized the twentieth Portuguese national conference of Operational Research (OR)—the IO series. With this long-lasting list of events, success has been the main takeaway from each unique occurrence. With a growing number of members, also with growing enthusiasm, the conference series has reached most regions in themainland country.Recently, the frequency of the conference was increased, while maintaining the same attendance and quality of work. Outreach of the conference to OR researchers from different nationalities is also increasing and bringing an international feel to the events. Year after year, keynote speakers from industry and from other European societies have joined us to share knowledge and current research and practice of OR. Our national OR discussion forum has influenced, as well, a growing number of national members attending and presenting in international OR conferences and participating actively in EURO Working Groups. However, besides validating our OR research, our national conferences always promote a very strong, very Portuguese social occasion. A true networking event is where work and social well-being are sustained—and looked forward—event after event. With this book as the last physical milestone of IO2019, we perpetuate the results from this event and invite all our members,
- PrefacePublication . Almeida, João P.; Geraldes, Carla A.S.; Lopes, Cristina; Moniz, Samuel; Oliveira, José F.; Pinto, Alberto A.The XXI Congress of APDIO, the Portuguese Operational Research Society, took place on 7 and 8 November 2021, with more than 120 registered participants and around 80 papers submitted. This congress took place at a very particular historical moment. After the first waves of the COVID-19 pandemic, which had immobilized humanity, cancelling all gatherings, society was equipped with the first effective weapons against the pandemic, in particular vaccines, and the world was beginning to reopen. Science, in all its facets, had been massively called upon for this on a scale that humanity had never before experienced. It was in this context of hope that the APDIO congress took place, also celebrating the significant contribution of this discipline in fighting the pandemic. Thus, “Analytics for a BetterWorld” was chosen as the congress theme.
- Editorial for Special Issue: tourism forecasting: time-series analysis of world and regional dataPublication . Teixeira, João Paulo; Gunter, UlrichThis Special Issue was honored with six contribution papers embracing the subject of tourism forecasting. The papers focused on forecasting tourism demand in the USA, Vienna—Austria, Vietnam, Marrakech-Safi region of Morocco, Dubai, and China. The time series were spread from tourism interest in the USA, hotel room demand in Vienna, number of tourists in Vietnam, annual tourist arrivals to the Marrakech-Safi region of Morocco, tourist arrivals to Dubai from the UK and the daily and weekly number of passengers at urban rail transit stations in China. The used datasets, in some cases, included thepandemic period, which was a severe challenge for the forecasting models. The forecasting models used embrace the following parameters: descriptive analysis techniques, seasonal naïve, Error Trend Seasonal (ETS), Seasonal Autoregressive Integrated Moving Average (SARIMA), Trigonometric Seasonality, Box–Cox Transformation, ARMA Errors, Trend and Seasonal Components (TBATS), Seasonal Neural Network Autoregression (Seasonal NNAR), Seasonal NNAR with an external regressor, Artificial Neural Network (ANN) forecasting model, ARIMA, AR, linear regression, Support Vector Regression (SVR), eXtreme Gradient Boosting (XGBoost), Long Short-Term Memory (LSTM) models, ensemble models, Box–Jenkins time series models, and the Facebook Prophet algorithm.