REMIT - Research on Economics, Management and Information Technologies (UIDB/05105/2020)

REMIT - Research on Economics, Management and Information Technologies (UIDB/05105/2020)

Palavras-chave

Innovation and creativity,Strategy and business models,Decision support systems,Territorial development,

URL

http://www.fct.pt/apoios/projectos/consulta/vglobal_projecto.phtml.en?idProjecto=157631&idElemConcurso=14275

Identificador

UIDB/05105/2020

Linha de Financiamento

6817 - DCRRNI ID

Financiador

Organização

Fundação para a Ciência e Tecnologia

A Fundação para a Ciência e Tecnologia (FCT) é uma entidade portuguesa responsável pela promoção e financiamento da investigação científica e tecnológica em Portugal. A FCT apoia projetos de investigação em diversas áreas, desde as ciências naturais e exatas até às ciências sociais e humanidades. Além disso, a FCT desempenha um papel importante na gestão de bolsas de estudo e no desenvolvimento de políticas para o avanço da ciência e tecnologia no país.

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Resultados da pesquisa

A mostrar 1 - 10 de 17

Acesso Aberto
Sustainable Agritourism Heritage as a Response to the Abandonment of Rural Areas: The Case of Buenavista Del Norte (Tenerife)
2025-09-25 - Dorta Rodríguez, Agustín; Quintela, Joana A.; Albuquerque, Helena
This research examines the ongoing challenge of depopulation in rural areas, focusing on the municipality of Buenavista del Norte in the Canary Islands. The objective is to analyse how governance and local community participation can contribute to reversing rural decline and to identify concrete strategies for sustainable development. Depopulation significantly impacts the social and economic viability of small rural municipalities, exacerbating marginalisation and isolation. The study applies a qualitative methodology, including interviews with public representatives, key strategic sector informants, and participatory group dynamics, to identify projects and resources that could foster local development. A core focus is placed on the integration of tourism, particularly wine tourism, as a tool for economic diversification and combating rural decline. Despite the Canary Islands’ status as a mature tourist destination, rural areas have not equally benefited, with some experiencing stagnation. Results point to the relevance of public–private collaboration, community-based innovation, and participatory approaches that engage key actors from various sectors. These processes facilitate the identification of viable projects and reveal the potential of tourism and sustainable community initiatives to reduce regional disparities. The implications of this research highlight the need for integrated local development strategies, improved infrastructure, and quality public services as essential measures to confront demographic challenges in remote areas. The inclusive governance, combined with strategic planning and tourism-based innovation, offers a viable roadmap for revitalising rural municipalities and ensuring their long-term resilience.
Acesso Restrito
Proposal of a conceptual model for a virtual environment that mediates Lesson Planning Activities
2025-07-15 - Silva, Carlos José Pereira da; Gomes, Alex Sandro; Queiros, Leandro Marques; Pereira, Aluisio José; Escudero, David Fonseca; Moreira, Fernando
This study proposes a conceptual model for a virtual environment that mediates lesson planning activities in high school education. In today’s online society, we frequently encounter innovative digital products and services that leverage advances in Information and Communication Technology (ICT). The main objective is to explore teachers’ needs and the possibilities offered by current technologies to enhance pedagogical practices. Using a projective approach based on activity theory, we identified the main challenges faced by teachers in the initial stages of lesson preparation, including short, medium, and long-term planning. Based on the identified requirements, a virtual environment was developed that represents the minimum structure necessary to mediate this activity. The results indicate that the virtual environment can promote greater participation and collaboration among teachers, facilitating the shared construction of knowledge. We conclude that the proposed virtual environment has great potential to mediate lesson planning, improving the quality of pedagogical practices and didactic activities.
Acesso Aberto
Digital transformation, skills and education: A systematic literature review
2023-10-23 - Rêgo, B.; Lourenço, D.; Moreira, Fernando; Santos-Pereira, Carla
Digital transformation (DT) is raising new challenges. This article seeks to understand how DT has changed business strategies, requiring a new profile of professionals, analyzing the most sought-after skills and identifying opportunities for future professionals. Also, it studies whether universities have incorporated in their training the new skills required by the labor market impacted by DT. To these ends, a systematic literature review dealing with digital transformation, competence, and education was conducted. The existing literature was categorized into seven main areas of investigation: digital literacy; skills identification; use of digital technologies in teaching; learning models; workforce qualification or re-skilling; digital technologies in the labor market; and undergraduate course analysis. This structuring then lays the groundwork for capturing gaps in the literature and proposing future research.
Acesso Restrito
A study on sensors in Higher Education
2024-06-01 - Sengupta, Sarthak; Bose, Anindya; Moreira, Fernando; Escudero, David Fonseca; García-Peñalvo, Francisco José; Collazos , Cesar
The Coronavirus crisis affected the higher education system drastically. A rapid surge in the usage of sensors and wearable technologies was observed. So, a need to pursue further research on the implementation of sensors in higher education institutions has been witnessed. This research study revolves around exploring the relevant research studies on sensors and higher education. The study found that a notable number of global research studies have been pursued on sensors but very few were relevant to the context of higher education institutions. It was also observed that the number of relevant research studies on the topics increased during and after the COVID-19 pandemic. It was also observed that most of the relevant research studies were published by developed countries like the USA, China, and England but negligible studies were performed by other countries. So, this study can pave the foundation to formulate novel approaches in the strategic implementation of sensors in higher education institutions across the world.
Acesso Aberto
Reliability on the Internet of Things with designing approach for exploratory analysis
2024-06-04 - Singh, Khushwant; Yadav, Mohit; Singh, Yudhvir; Barak, Dheerdhwaj; Saini, Ashish; Moreira, Fernando
The Internet of Things (IoT) proposes to transform human civilization so that it is smart, practical, and highly efficient, with enormous potential for commercial as well as social and environmental advantages. Reliability is one of the major problems that must be resolved to enable this revolutionary change. The reliability issues raised with specific supporting technologies for each tier according to the layered IoT reliability are initially described in this research. The research then offers a complete review and assessment of IoT reliability. In this paper, various types of reliability on the IoT have been analyzed with each layer of IoT to solve the issues of failure rates, latency, MTTF, and MTBF. Each parameter has a certain classification and perception as well as enhancement in efficiency, accuracy, precision, timeliness, and completeness. Reliability models provide efficient solutions for different IoT problems, which are mirrored in the proposed study and classified with four types of reliabilities. The field of IoT reliability exploration is still in its initial phases, despite a sizable research record. Furthermore, the recent case study of CHISS is elaborated with discovered behaviors including brand-new aspects such as the multifaceted nature of evolving IoT systems, research opportunities, and difficulties.
Acesso Restrito
Anticipating tutoring demands based on students’ difficulties in Online Learning
2024-06-01 - Pereira, Aluisio José; Gomes, Alex Sandro; Primo, Tiago Thompsen; Queiros, Leandro Marques; Moreira, Fernando
Anticipating the tutoring needs in online learning is essential to provide adequate support to students. Feedback and even silence are valuable clues to reveal the level of engagement. Approaches based on Artificial Intelligence (AI) can process this information and alleviate the workload of human tutors. In this study, Natural Language Processing (NLP) techniques were used to assess the performance of classifying students’ difficulties in an Educational Social Network. Difficulties were classified into categories such as “personal”, “technical”, and “others”. The model's performance allows you to anticipate and direct tutoring.
Acesso Restrito
Core Organizational Societal Impact (COSI): An evolving model
2025-06-14 - Carvalho, João M. S.
Measuring the social impact of organizations is complex and challenging, and it cannot be generalized to all cases. This conceptual study aims to theoretically substantiate a flexible measure of societal impact and provide recommendations to improve the accuracy and validity of such measures. The Core Organizational Societal Impact (COSI) measure is based on stakeholder, corporate social responsibility, and societal sustainability theories, assessing any organization’s societal impact, comprising indicators of general application and discretionary ones. This model can be used as a proxy and acid test to measure organizational societal footprint, i.e., how organizations impact the stakeholders based on their economic, social, legal, ethical, ecological, psychological, and discretionary responsibilities. It constitutes an adjustable index that allows for assessing the organization’s evolution and comparisons with other organizations in the activity sector. This approach sensitizes managers and entrepreneurs in any activity sector to choose a marketing strategy with a positive societal impact.
Acesso Restrito
Exploring the Nordic numbers: An analysis of price clustering in Scandinavian stocks
2024-07-19 - Lobão, Júlio; Pacheco, Luís Miguel; Carvalho , Daniel
Purpose This paper investigates share price clustering and its determinants across Nasdaq Stockholm, Copenhagen, Helsinki, and Iceland. Design/methodology/approach This paper investigates share price clustering and its determinants across Nasdaq Stockholm, Copenhagen, Helsinki, and Iceland. Univariate analysis confirms widespread clustering, notably favouring closing prices ending in zero. Multivariate analysis explores the impact of firm size, price level, volatility, and turnover on clustering. Findings Univariate analysis confirms widespread clustering, notably favouring closing prices ending in zero. Multivariate analysis explores the impact of firm size, price level, volatility, and turnover on clustering. Results reveal pervasive clustering, strengthening with higher prices and turnover but weakening with larger trade volumes, firm size, and smaller tick sizes. These empirical findings support the theoretical expectations of price negotiation and resolution hypotheses. Practical implications The observed clustering presents an opportunity for investors to potentially capitalize on this market anomaly and achieve supra-normal returns. Originality/value Price clustering, the phenomenon where certain price levels are traded more frequently, challenges the efficient market hypothesis and has been extensively studied in financial markets. However, the Scandinavian stock markets, particularly those in the Nasdaq Nordic Exchange, remain unexplored in this context.
Acesso Aberto
The role of leadership and strategic alliances in innovation and digital transformation for sustainable entrepreneurial ecosystems: A comprehensive analysis of the existing literature
2025-07-05 - Lobo, Carla Azevedo; Marinho, Arlindo; Santos-Pereira, Carla; Azevedo, Mónica; Moreira, Fernando
In the context of accelerating digital transformation and growing sustainability imperatives, entrepreneurial ecosystems increasingly rely on open innovation and strategic collaboration to foster resilient, knowledge-driven growth. This study aims to examine how leadership behaviors and strategic alliances interact as enablers of sustainable innovation across macro (systemic), meso (organizational), and micro (individual) levels. To achieve this, this study employs a literature review, supported by bibliometric analysis, as its core methodological approach. Drawing on 86 influential publications from 1992 to 2024, two major thematic streams emerge: leadership dynamics in entrepreneurial settings and the formation and governance of strategic alliances as vehicles for innovation. The findings underscore the pivotal role of transformational and ethical leadership in cultivating trust-based inter-organizational relationships, facilitating digital knowledge sharing, and catalyzing sustainable value creation. Simultaneously, strategic alliances enhance organizational agility and innovation capacity through co-creation mechanisms, digital platforms, and crowdsourcing, especially in small and medium-sized enterprises (SMEs). This paper highlights a mutually reinforcing relationship: effective leadership strategies empower alliances, while alliance participation enhances leadership capabilities through experiential learning in diverse, digitalized environments. By bridging leadership theory, open innovation practices, and digital transformation, this study offers critical insights for entrepreneurs, managers, and policymakers seeking to drive inclusive and sustainable innovation within interconnected global markets. Therefore, this study provides practical guidance for business leaders aiming to strengthen alliance performance through adaptive leadership and for policymakers seeking to foster innovation ecosystems through supportive regulatory and institutional frameworks.
Acesso Restrito
NLP on text messages using sentimentality investigation
2025-06-15 - Singh, Khushwant; Yadav, Mohit; Moreira, Fernando
E-commerce is becoming more and more popular in this digital era since it allows customers to order things online and have them delivered right to their doorsteps. Reviews now have more significance as consumers use them to make informed decisions about what to buy. By classifying and learning from reviews, machine learning might help with the laborious work of sifting through hundreds of them. Sentiment analysis is a fundamental function of natural language processing (NLP) that focuses on comprehending attitudes and emotions. This research employs supervised learning techniques to analyze the feelings of product evaluations on Amazon. Thousands of reviews in various categories may be found in the dataset that was used. Recurrent neural networks (RNNs), among other NLP models, are tested for the purpose of classifying reviews into positive, negative, and neutral sentiments. The models are evaluated by applying recall, accuracy, and precision. Investigations are being conducted on the implications of sentiment analysis findings for companies and consumers using the Amazon platform. This study provides information on sentiment analysis on the dataset from Amazon and its useful applications. E-commerce is growing in popularity, and machine learning-based sentiment analysis might help evaluate massive volumes of data and effectively identify emotions. For the purpose of classifying emotions, a variety of machine learning techniques have been used, such as K-means clustering, decision trees (DTs), convolutional neural networks (CNNs), support vector machines (SVMs), and Bayesian networks (BNs). This study compares previous research and offers a real-time sentiment analysis system to monitor common feelings and provide recommendations that users would find acceptable. A key component of natural language processing (NLP) is sentiment analysis, which classifies sentiment polarity. This study offers a generic method for classifying sentiment in online product reviews from Amazon.com and aims to address problems in sentiment analysis. Investigations into categorization at the sentence and review levels are conducted, with encouraging outcomes. There is also mention of future work on sentiment analysis.