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FCH2-Artigos (em revistas ou actas indexadas)

URI permanente para esta coleção:

http://hdl.handle.net/10400.1/24
Conteúdo: Artigos em revistas ou actas de conferências indexadas

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    » Latindex
    (Sistema Regional de Información para Revistas Científicas de América Latina, Caribe, España y Portugal: www.latindex.unam.mx)

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Percorrer FCH2-Artigos (em revistas ou actas indexadas) por Objetivos de Desenvolvimento Sustentável (ODS) "12:Produção e Consumo Sustentáveis"

A mostrar 1 - 3 de 3
  • Brand hate semiotics: hate as a story theory. Netnographic approach during the war on Gaza
    Publication . Assoud, Mohamed; Berbou, Lahoucine; Vieira, Luís Sérgio
    Purpose – This study aims to investigate brand hate semiotics among Muslim and Arabic-speaking consumers during the 2023 war on Gaza, exploring traits associated with hated and boycotted brands within a sociopolitical context. Design/methodology/approach – The research uses semiotic analysis and a netnographic approach to examine 3,000 public consumer-generated content linked to the hashtag # عطاق) boycott in Arabic) from Instagram and Facebook. Findings – Brands such as McDonald’s, KFC, Coca-Cola and Starbucks, which were subjected to hate and boycotts, are linked to negative associations and narratives, including The Stranger, The Faceless Foe, The Enemy of God and The Criminal. User-generated content significantly influences brand boycotts among Muslim and Arabic-speaking consumers. Research limitations/implications – Future research should explore additional sociopolitical contexts and demographics to generalize the findings further. Practical implications – Understanding the semiotic drivers of brand hate can help marketers develop effective crisis management and brand recovery strategies tailored to specific cultural contexts. Social implications – The findings highlight the impact of sociopolitical events on consumer behavior, emphasizing the need for brands to be aware of their cultural and ethical stances in global markets. Originality/value – This research contributes to brand hate theory by using the “hate as a story” lens, offering a unique theoretical perspective. It systematically explores the semiotic aspects of brand hate and pioneers’ semiotic analysis and netnography in this field. The study also addresses the underrepresentation of Muslim and Arabic-speaking consumers in brand hate literature.
    2025-12-25Artigo científico Acesso restrito Ver mais
  • A deep regression model with low-dimensional feature extraction for multi-parameter manufacturing quality prediction
    Publication . Deng, Jun; Bai, Yun; Li, Chuan
    Manufacturing quality prediction can be used to design better parameters at an earlier production stage. However, in complex manufacturing processes, prediction performance is a_ected by multi-parameter inputs. To address this issue, a deep regression framework based on manifold learning (MDRN) is proposed in this paper. The multi-parameter inputs (i.e., high-dimensional information) were firstly analyzed using manifold learning (ML), which is an e_ective nonlinear technique for low-dimensional feature extraction that can enhance the representation of multi-parameter inputs and reduce calculation burdens. The features obtained through the ML were then learned by a deep learning architecture (DL). It can learn su_cient features of the pattern between manufacturing quality and the low-dimensional information in an unsupervised framework, which has been proven to be e_ective in many fields. Finally, the learned features were inputted into the regression network, and manufacturing quality predictions were made. One type (two cases) of machinery parts manufacturing system was investigated in order to estimate the performance of the proposed MDRN with three comparisons. The experiments showed that the MDRN overwhelmed all the peer methods in terms of mean absolute percentage error, root-mean-square error, and threshold statistics. Based on these results, we conclude that integrating the ML technique for dimension reduction and the DL technique for feature extraction can improve multi-parameter manufacturing quality predictions.
    2020-04-06Artigo científico Acesso aberto Ver mais
  • Determinants of consumers’ acceptance and adoption of novel food in view of more resilient and sustainable food systems in the EU: a systematic literature review
    Publication . Laureati, Monica; De Boni, Annalisa; Saba, Anna; Lamy, Elsa; Minervini, Fabio; Delgado, Amélia; Sinesio, Fiorella
    This review article aims to provide an up-to-date overview of the main determinants of consumers’ acceptance of novel foods (new foods and ingredients) in the EU with emphasis on product’s intrinsic properties (sensory characteristics) and individual factors (socio-demographics, perceptive, psychological) by adopting a systematic approach following the PRISMA methodology. Case studies on terrestrial (i.e., insects, cultured meat and other animal origin products, plantbased food including mushrooms, plant-based analogues, pulses, and cereals) and aquatic systems (i.e., algae and jellyfish) are included focusing on age-related and cross-national differences in consumer acceptance of novel foods and ingredients. General trends have emerged that are common to all the novel foods analysed, regardless of their aquatic or terrestrial origin. Aspects such as food neophobia, unfamiliarity, and poor knowledge of the product are important barriers to the consumption of novel foods, while healthiness and environmental sustainability perception are drivers of acceptance. Sensory properties are challenging for more familiar ingredients such as plant-based food (e.g., novel food made by pulses, mushrooms, cereals and pseudocereals). Results are discussed in terms of feasibility of introducing these products in the EU food systems highlighting strategies that can encourage the use of new ingredients or novel foods.
    2024-05-15Artigo científico Acesso aberto Ver mais