This study employs the perspective of social exchange theory and seeks to understand users' intentions to use social recommender systems (SRS) through three psychological factors: trust, shared values, and reputation. We use structural equation modeling to analyze 221 valid questionnaires. The results show that trust has a direct positive influence on the intention to use SRS, followed by shared values, whereas reputation has an indirect influence on SRS use. We further discuss specific recommendations concerning these factors for developing SRS.
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http://dx.doi.org/10.1089/cyber.2012.0278 | DOI Listing |
Corporate Social Responsibility (CSR) refers to initiatives undertaken by corporations that aim to make a positive impact on society. It is unclear to what extent these aims are achieved in relation to population health. We explored the evidence for mechanisms by which CSR has positive or negative effects on population health through a systematic-narrative hybrid review of 97 relevant articles.
View Article and Find Full Text PDFBMC Public Health
January 2025
Emerging Diseases Epidemiology Unit, Institut Pasteur, 25-28 Rue du Docteur Roux, Bâtiment Laveran, Paris, 75015, France.
Background: The capacity of the 7C model's psychological antecedents, which include confidence in vaccines, complacency, convenience, calculation, collective responsibility, confidence in the wider system, and social conformism, to explain variance in COVID-19 vaccine intentions and behaviours has been documented. However, it remains unclear whether the attitudes represented by the 7C psychological antecedents are specific to vaccination or if they are, in fact, an expression of underlying personality traits.
Methods: From February to June 2022, French adults completed self-administered questionnaires assessing COVID-19 vaccination history, the 7C antecedents, and personality traits ("ComCor" and "Cognitiv" studies).
Sci Rep
January 2025
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, China.
Knowledge-aware recommendation systems often face challenges owing to sparse supervision signals and redundant entity relations, which can diminish the advantages of utilizing knowledge graphs for enhancing recommendation performance. To tackle these challenges, we propose a novel recommendation model named Dual-Intent-View Contrastive Learning network (DIVCL), inspired by recent advancements in contrastive and intent learning. DIVCL employs a dual-view representation learning approach using Graph Neural Networks (GNNs), consisting of two distinct views: a local view based on the user-item interaction graph and a global view based on the user-item-entity knowledge graph.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Plant Protection, IPB University, Bogor, Indonesia.
Smallholder farmers produce over 40% of global palm oil, the world's most traded and controversial vegetable oil. Awareness of the effects of palm oil production on ecosystems and human communities has increased drastically in recent years, with ever louder calls for the private and public sector to develop programs to support sustainable cultivation by smallholder farmers. To effectively influence smallholder practices and ensure positive social outcomes, such schemes must consider the variety in perspectives of farmers and align with their priorities.
View Article and Find Full Text PDFJ Intellect Dev Disabil
January 2025
Tel-Hai College, Upper Galilee, Israel.
Background: The birth of a child with an intellectual or developmental disability inherently presents challenges to parents regarding the child's long-term future. This qualitative study examined the perceptions of parents who are kibbutz members, focusing on the non-profit organisation they established and the socioeconomic model they developed to ensure the future wellbeing of their children with intellectual and developmental disabilities.
Method: In-depth interviews were conducted with 12 participants and used a thematic analysis based on case study methodology.
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