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6 articles for “label trust”
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The Mediating Role of Label Trust in Shaping Green Purchase Attitudes Among Young Consumers: Sustainable Chemical Transparency in FMCG Packaging
Abstract: This study looks at the function of Perceived Chemical Transparency (PCT) in influencing consumers' Green Purchase Attitude (GPA) in the Fast-Moving Consumer Goods (FMCG) sector, with Label Trust (LT) serving as a significant mediating factor and Environmental Concern (EC) acting as a direct predictor. Based on the Theory of Planned Behavior and Signaling Theory, the study hypothesizes that clear disclosure of chemical and polymer-related information increases trust in eco-labels and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1308–1319 Read article
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Consumer Behavior Trends Supporting Green Marketing
Abstract: Growing environmental concerns and the increasing emphasis on sustainability have significantly influenced consumer preferences, leading to a noticeable shift toward eco-friendly products and the emergence of green marketing as a key strategic approach for businesses. The study aims at evaluating consumer behavior trends based on the concept of green marketing, including environment awareness, attitudes of the consumers and how it influences consumer buying behavior and confidence in green marketing claims. …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 Read article
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Cannabinoids as Nutritional Supplements: Exploring The Potential Health Benefits and Regulatory Landscape
Abstract: Cannabinoids, the bioactive compounds derived from the Cannabis sativa plant, have garnered increasing interest for their potential role as nutritional supplements. This abstract provides a succinct overview of cannabinoids as nutritional supplements. This review delves into the multifaceted aspects of cannabinoids, particularly their interaction with the endocannabinoid system (ECS) and their potential health benefits. The exploration begins by elucidating the intricate relationship between cannabinoids and the ECS, a vital regulatory …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 1, 2024 · pp. 48–53 Read article
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AI and ML in the Chemical Industry: A Review of Transformative Applications and Future Prospects
Abstract: The chemical industry, a key growth indicator of the global manufacturing ecosystem, is experiencing a digital transformation driven mainly by advancements in Artificial Intelligence (AI) and Machine Learning (ML) in this sector. These technologies are totally revolutionizing current and traditional methodologies by significantly improving process efficiency, reducing costs of manufacturing, accelerating R&D, and improving safety and sustainability standards. Proper utilization of Artificial intelligence (AI) and machine learning (ML) in chemical …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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A Study on the Factors Influencing the Buying Behaviour of Organic Food Products Amongst Gen Z in Mumbai
Abstract: This study explores the key variables that shape the purchasing behavior of Generation Z (Gen Z) consumers in Mumbai with regard to organic products. As awareness about health and sustainability continues to grow, understanding the preferences of this consumer group has become increasingly important. The research is based on a structured quantitative survey conducted among 100 Gen Z consumers residing in Mumbai. The responses reveal that several factors, including price, …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article