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Brazilians’ acceptance of multi-attribute reverse Auction Model for B2C E-Commerce
No full textReverse auctions emerged in the late 1990s as a new form of online commerce; they offer a platform where sellers compete to supply goods and services at the lowest price. In the early 2000s, the concept gained popularity mainly in B2B transactions: companies started using reverse auctions to prospect goods and services efficiently and at lower prices. Over time, these reverse auctions expanded to B2C transactions, allowing individuals to participate and find the best business opportunities for purchasing products and services. This study addresses reverse auctions in B2C e-commerce, aiming to understand Brazilians’ acceptance of this new online model—multi-attribute reverse auction. One used a quantitative approach through a questionnaire to a final sample of 73 individuals. Data shows that Brazilians accept the reverse auction model, as well as the perceived usefulness of the purchase model. Therefore, brands must start to consider it as another way to allow a unique customer experience in line with an omnichannel posture
Everyday Memory Questionnaire-Revised (EMQ-R): Psychometric Validation of the European Portuguese Version in Non-Clinical Sample
Get PDFThe present study aimed to translate, culturally adapt, and present a psychometric validation for the Everyday Memory Questionnaire—Revised (EMQ-R) to the Portuguese population. The study involved 267 participants aged between 18 and 75 years (M = 39.32; SD = 14.8), recruited online. Self-report measures of anxiety and depression symptoms were administered to assess the instrument’s convergent validity. To examine the factorial structure of the measure, a two-step validation process was employed. Given the uncertainty about the optimal measurement model, the sample was randomly divided
into two independent subsamples. First, a principal component analysis (PCA) was conducted to explore the factorial structure. Next, a confirmatory factor analysis (CFA) was performed to validate the identified structure. The results supported a unidimensional structure consisting of 12 items, suggesting that perceived memory difficulties are best represented as a single overarching factor. High reliability was observed for this structure (Cronbach’s alpha and McDonald’s omega values ≥ 0.90). The results also indicated that
general memory complaints were moderately correlated with symptoms of anxiety and depression. Furthermore, the study highlighted the promising potential of the measure as a screening tool for detecting subjective memory complaints, with an optimal cut-off score of 16 points. Future studies should focus on validating the EMQ-R with clinical samples, exploring its discriminative ability, and examining the stability of the cut-off score across different populations and contexts
Life satisfaction around the world: Measurement invariance of the Satisfaction With Life Scale (SWLS) across 65 nations, 40 languages, gender identities, and age groups
Get PDFThe Satisfaction With Life Scale (SWLS) is a widely used self-report measure of subjective well-being, but studies of its measurement invariance across a large number of nations remain limited. Here, we utilised the Body Image in Nature (BINS) dataset–with data collected between 2020 and 2022 –to assess measurement invariance of the SWLS across 65 nations, 40 languages, gender identities, and age groups (N = 56,968). All participants completed the SWLS under largely uniform conditions. Multi-group confirmatory factor analysis indicated that configural and metric invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional SWLS model has universal applicability. Full scalar invariance was achieved across gender identities and age groups. Based on alignment optimisation methods, partial scalar invariance was achieved across all but three national groups and across all languages represented in the BINS. There were large differences in latent SWLS means across nations and languages, but negligible-to-small differences across gender identities and age groups. Across nations, greater life satisfaction was significantly associated with greater financial security and being in a committed relationship or married. The results of this study suggest that the SWLS largely assesses a common unidimensional construct of life satisfaction irrespective of respondent characteristics (i.e., national group, gender identities, and age group) or survey presentation (i.e., survey language). This has important implications for the assessment of life satisfaction across nations and provides information that will be useful for practitioners aiming to promote subjective well-being internationally
Mostra de Posters Científicos em Direito: Mestrado em Direito: Ciências Jurídico-Políticas [poster]
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Um novo ciclo de 6 anos para o Turismo e a Hospitalidade na Universidade Portucalense [artigo de imprensa]
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What large companies disclosure on their websites about inclusivity and sustainability?
No full textMore demanding customers characterise today’s competitive environment concerning ethical issues. They expect organisations to be inclusive, sustainable, and socially responsible, which can contribute to their successful financial performance. This exploratory study aims to research whether large companies from the OECD disclose information on their website concerning inclusive and sustainable value creation and innovation with an estimated impact on societal sustainability. Through website content analysis of the websites of 152 companies from all OECD countries, one concludes that it is still needed more attention to those issues to improve business reputation and acceptance by customers. Compliance with these cultural micro-norms will probably lead our global society to a more peaceful and enjoyable place to live
La ciudad compartida. Vivienda y turismo en las áreas metropolitanas de Lisboa y Porto
Get PDFEste artículo examina la relación entre vivienda y turismo en las áreas metropolitanas de Lisboa y Porto, considerando su impacto en la sostenibilidad urbana. Metodología: Se empleó un enfoque combinado que analiza datos censales (2001-2021) y la territorialización del patrimonio cultural, complementado con índices de presión turística y estudios de políticas urbanas. Resultados: Se identificó una descentralización parcial del turismo hacia áreas no centrales, con pérdida de población residente en distritos centrales y un aumento del alojamiento turístico, generando presiones sobre el mercado inmobiliario. Discusión: La transformación urbana evidencia conflictos entre residentes y turistas, acentuados por desequilibrios en la planificación y gestión territorial. Políticas como la descentralización turística y programas de vivienda cooperativa buscan mitigar estos impactos. Conclusiones: Se destaca la necesidad de estrategias integradas que articulen urbanismo, movilidad y sostenibilidad, promoviendo una ciudad compartida que beneficie tanto a residentes como a visitantes
Sustainability and accessibility at music festivals: The Vodafone Paredes de Coura Festival
No full textThis study delves into the relationship between tourism, events, sustainability, and accessibility, specifically focusing on the Vodafone Paredes de Coura festival as a significant case study. The research investigates integrating sustainable and accessibility measures into the festival’s organization. A survey was conducted among festivalgoers to gauge their perception of the study’s theme. The results underscore the importance of sustainability and accessibility in the tourism and events industry and highlight festivals’ potential economic, social, and cultural benefits. These benefits, which include increased revenue, improved community relations, and enriched cultural experiences, are significant and should inspire the audience about the positive impact of sustainability. The study provides valuable insights for event organizers and tourism stakeholders to enhance festival sustainability and accessibility practices, thereby contributing to a more sustainable future
Business intelligence no apoio ao controlo de gestão: o caso de uma empresa do setor automóvel
No full textEste trabalho tem como objetivo a implementação de uma solução de Business Intelligence
(BI) numa empresa do Setor Automóvel - a Lusilectra, S.A., e foi realizado tendo como base o
período de estágio realizado pelo autor na empresa.
Dando continuidade a um estudo realizado na empresa que discutiu a pertinência da utilização
de uma solução de BI de apoio ao controlo de gestão, este trabalho explora em termos práticos
o impacto da utilização do BI nesse contexto, endereçando os problemas de falta de integração
de dados e informação nas ferramentas de controlo de gestão e sistemas de gestão empresariais
utilizados à data pela empresa.
Como alicerce do trabalho é apresentada uma revisão bibliográfica dos sistemas de Business
Intelligence, a função de controlo de gestão e a integração destes conceitos.
A solução apresentada consiste num sistema de BI que integra diversas fontes de dados através
da utilização de técnicas de Extração, Transformação e Carregamento (ETL), permite a análise
multidimensional dos dados através de um Data Warehouse e a monitorização dos KPIs identificados
em visualizações interativas em dashboards, facilitando a análise de grandes volumes de
dados e promovendo uma gestão mais eficiente e fundamentada.
O trabalho reforça a necessidade de uma abordagem integrada que alie a utilização de tecnologia
a instrumentos de gestão de estratégia empresarial e discute o impacto da implementação da
solução na melhoria da eficiência operacional e na qualidade das decisões de gestão, evidenciando
como o BI pode transformar dados brutos em informações relevantes que suportam a tomada de
decisão organizacional.This work aims to implement a Business Intelligence (BI) solution in a company in the Automotive
Sector - Lusilectra, S.A., and was carried out based on the author’s training placement in
the company.
Continuing a study carried out in the company that discussed the relevance of using a BI
solution to support management control, this work explores in practical terms the impact of using
a BI system in this context, addressing the problems of lack of data integration and information in
the management control tools and enterprise management systems used by the company.
A literature survey is set up as the groundwork for the study, which reviews Business Intelligence
systems, the management control function and the integration of these concepts.
The presented solution consists of a BI system that integrates several data sources through the
use of Extraction, Transformation and Loading (ETL) techniques, allows multidimensional analysis
of data through a DataWarehouse and the monitoring of the identified KPIs through interactive
visualizations in dashboards, enhancing the analysis of large volumes of data and promoting more
efficient and informed management.
The work reinforces the need for an integrated approach that combines the use of technology
with business strategy management tools and discusses the impact of implementing the solution
on improving operational efficiency and the quality of management decisions, highlighting how
BI can transform raw data into valuable information that supports organizational decision-making
Artificial Vision Systems for Fruit Inspection and Classification: Systematic literature review
Get PDFFruit sorting and quality inspection using computer vision is a key tool to ensure quality and safety in the fruit industry. This study presents a systematic literature review, following the PRISMA methodology, with the aim of identifying different fields of application, typical hardware configurations, and the techniques and algorithms used for fruit sorting. In this study, 56 articles published between 2015 and 2024 were analyzed, selected from relevant databases such as Web of Science and Scopus. The results indicate that the main fields of application include orchards, industrial processing lines, and final consumption points, such as supermarkets and homes, each with specific technical requirements. Regarding hardware, RGB cameras and LED lighting systems predominate in controlled applications, although multispectral cameras are also important in complex applications such as foreign material detection. Processing techniques include traditional algorithms such as Otsu and Sobel for segmentation and deep learning models such as ResNet and VGG, often optimized with transfer learning for classification. This systematic review could provide a basic guide for the development of fruit quality inspection and classification systems in different environments