Digital marketing to children, teens, and adults contributes to substantial exposure to cues and persuasive messages that drive the overconsumption of energy dense foods and sugary beverages. Previous food marketing research has focused on traditional media, but less is known about how marketing techniques translate within digital platforms, such as social media, livestreaming, and gaming. Building upon previous theories and models, we propose a new model entitled food and beverage cues in digital marketing (FBCDM). The FBCDM model specifies key marking elements and marketing integration strategies that are common on digital platforms and are hypothesized to enhance the effects of advertising and incentive sensitization process. FBCDM also categorizes measurable outcomes into three domains that include brand, food, and social outcomes. Additionally, repeated marketing exposure and the resulting outcomes are hypothesized to have long term consequences related to consumer markets, consumption behavior, culture, and health. We include a discussion of what is currently known about digital marketing exposure within the outcome domains, and we highlight gaps in research including the long-term consequences of digital marketing exposure. The FBCDM model provides a conceptual framework to guide future research to examine the digital marketing of food and beverages to children and adolescents in order to inform government and industry policies that restrict the aggressive marketing of products associated with obesity and adverse diet related outcomes.
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http://dx.doi.org/10.3389/fnut.2023.1325265 | DOI Listing |
Gac Med Mex
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Coordinación de Universidad Abierta y Educación Digital, Innovación Educativa y Educación a Distancia, Dirección de Evaluación Educativa, Universidad Nacional Autónoma de México, Mexico City, Mexico.
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School of Computer Science (Biomedical & Multimedia Information Technology), Faculty of Engineering, The University of Sydney, Sydney, NSW 2006 Australia.
In modern biological microscopy, the explosion of data volume and complexity highlights the urgent need for specialised data management support roles. While traditional microscopy focuses on visual data presentation, the rapid increase in big data acquisition and data mining demands advanced handling and analysis. This gap underscores the need for "dry lab microscopists" or data experts skilled in microscopy data management, software interoperability, and AI-driven solutions.
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January 2025
Department of Marketing and Logistics Management, Chaoyang University of Technology, Taichung, Taiwan.
Platform leadership (PL) has been increasing in digital transformation enterprises. This study explores the effects, pathways, and boundary conditions of PL on employee deviant innovation (EDI). In this study, 444 valid questionnaires were collected from ten digital transformation enterprises.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Bioinformatics Programme, Institute of Biological Sciences, Faculty of Science, Universiti Malaya, Kuala Lumpur 50603, Malaysia; Centre of Research in System Biology, Structural, Bioinformatics and Human Digital Imaging (CRYSTAL), Universiti Malaya, Kuala Lumpur 50603, Malaysia. Electronic address:
Background: Alzheimer's disease (AD), the most prevalent form of dementia, remains enigmatic in its origins despite the widely accepted "amyloid hypothesis," which implicates amyloid-beta peptide aggregates in its pathogenesis and progression. Despite advancements in technology and healthcare, the incidence of AD continues to rise. The traditional drug development process remains time-consuming, often taking years to bring an AD treatment to market.
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January 2025
Institute of Blue and Green Development, Shandong University, Weihai, 264209, China; Faculty of Finance, City University of Macau, Macao, China. Electronic address:
The impact of supply chain digitalization (SCD) on carbon dioxide emissions is an emerging area of research, particularly in China, which is the world's largest carbon emitter. This study uses micro-level data on listed companies from 2010 to 2021 to systematically verify the impact and mechanism of SCD on corporate carbon emissions (CCE) through the difference-in-differences model. We determined that SCD can significantly reduce CCE and its implementation path involves three aspects: promoting technological innovation, reducing financing constraints, and increasing market attention.
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