Determinant factors that influence purchase intentions for skin products with sustainable packaging.

Towards sustainable consumption in rural Iran: Insights from an extended Theory of Planned Behavior

Digital tools to guide choice towards more sustainable consumption: proposing a question instrument to evaluate their design, ethics, and legitimacy

Solea aegyptiaca gelatin (GSA) is a promising alternative to conventional gelatin. With a yield of 9.64% after 9h, it was produced by alkali pretreatment followed by acid extraction. GSA exhibited a positive surface charge (+ 2.88mV), a pH of 4.96, and high protein and low lipid contents (79.6% and 0.2%, respectively). SDS-PAGE analysis confirmed its typical gelatin profile, showing β, α1, and α2 chains. The FTIR spectra displayed characteristic Amide A, I, II, and III bands. The gel demonstrated good textural properties, with a gel strength of 209.85g and a hardness of 953.41g. Thermal analysis indicated a gelation temperature of 6.5°C and good thermal reversibility. GSA showed significant emulsifying capacity (25.97m2/g) and moderate foaming properties, suggesting its potential application in confectionery products, dairy desserts, and aerated bakery formulations. Moreover, its marine origin makes it suitable for consumers with religious or dietary restrictions. The results support the development of alternative gelatin sources with industrial relevance by providing new information on adding value to fish processing residues. This study advances the United Nations Sustainable Development Goals, specifically SDG 12 (Responsible Consumption and Production) by valuing waste, SDG 9 (Industry, Innovation, and Infrastructure) by encouraging the development of sustainable biomaterials, and SDG 14 (Life Below Water) by promoting the responsible use of marine resources. Ultimately, the study promotes sustainable material development and circular bioeconomy strategies.

The effects of collectivistic and authority-based green advertising on green purchasing behavior for apparel among gen Z and Y Asian consumers in an emerging market.

In the face of the rapid evolution of artificial intelligence (AI) and the increasing cost of energy in residential buildings, accurately predicting thermal loads has become crucial for sustainable construction practices. We present the use of artificial neural network (ANN) and convolutional neural network (CNN) models to predict the energy efficiency of residential buildings. The dataset comprises eight input parameters, namely surface area, relative compactness, wall area, overall height, roof area, glazing area, orientation, and glazing area distribution, with two output thermal loads (the heating load (HL) and the cooling load (CL)). Additionally, we split the data, comprising 768 observations, into training (70%), testing (15%), and validation sets (15%). Results based on the Pearson correlation matrix indicated that all input variables exhibit a positive correlation with the thermal loads, except the surface and roof areas of the building. In addition, the feature importance and Shapley Additive exPlanation (SHAP) analysis demonstrated that building geometry parameters, such as relative compactness, wall, surface, and glazing areas, dominate thermal load predictions. Furthermore, the ANN models showed high performance, with R 2 values ranging from 0.9618 to 0.9783 for HL and CL. However, the CNN models significantly outperformed ANN models. When comparing training, testing, and validation, CNN models achieve exceptional R 2 values exceeding 0.99 for all dataset splits, even in the presence of outliers. K-fold cross-validation analysis demonstrated the outstanding reliability of the CNN models, with coefficient of variation (CV) values of 0.26% for HL and 0.65% for CL, suitable for engineering applications and real-world deployment. However, the ablation study results identified the non-regularized CNN configuration as optimal for production deployment, having low gap metric values between training and validation HL (−0.0001) and CL (0.0040) models. Beyond technical achievement, this research demonstrates that building energy prediction serves as a tool for advancing household energy consumption. Community engagement and five ethical considerations are proposed for citizen science programs and scientific education initiatives focused on sustainable energy consumption. • CNN models outperform ANN models for predicting heating and cooling loads in residential buildings. • SHAP analysis shows relative compactness, wall area, and glazing area are key thermal load predictors. • K-fold cross-validation confirms the CNN model's reliability, with coefficient of variation values below 1%. • Ablation study selects non-regularized CNN configuration as optimal for production deployment. • Ethical considerations guidelines are proposed for citizen science in building energy research.

Quiet luxury and minimalist values: Longitudinal evidence on sustainable luxury consumption

Additive manufacturing of novel recycled polyethylene terephthalate hybrid composites for sustainable production and consumption

Production is fragmented in global production networks, and consumption relies on global markets. Their impacts and profits are unevenly distributed in the international division of labour. Such complexity and entanglement call for footprint approaches that capture these regional and sectoral distributions. We calculate through Multi-Regional Input-Output Analysis (MRIOA) the working time, compensation of employees, and GHG emissions and their regional and sectoral distribution in two global value chains related to the Motor vehicles industry in Germany (1995–2020): (1) the Supply system of global Motor Vehicles Industry to Germany, which provides vehicles and replacement parts to Germany and (2) the German Final production system of Motor Vehicles Industry, which manufactures “made in Germany” vehicles sold in global markets. This unravels the uneven distribution of profits and impacts through global trade and enables different perspectives on social and environmental responsibility of consumers and producers. In both systems, but more intensively in the Final production system, Germany kept most of the compensation of employees while generating less than half of GHG emissions and less than a third of employment. The whole supply-chain production of “made in Germany” vehicles generated 73% of salaries in Germany, while it relied on 63% of emissions and 54% of working time in upstream processes abroad in 2018. In terms of sectors, the Motor vehicles industry obtained about half of the salaries with 5% of emissions in both systems. Producing a vehicle in Germany requires approximately 1400 working hours, the equivalent of one year of labour by a German worker. • Salaries due to vehicle production (73%) and demand (44%) in Germany stayed in Germany. • Proportionally, fewer emissions (37%–19%) and jobs (46%–21%) happened in Germany. • The Motor vehicles industry obtained almost half of the salaries in both value chains. • The motor vehicles industry generated 5% of emissions in both systems. • The labour footprint of a German vehicle were 1366 h of paid work in 2018.

Consumer trust and post-purchase dynamics in the refurbished electronics market: The role of product quality, service, and brand reputation.

Biofibre explorer: An augmented reality (AR) tool to promote circularity through material knowledge

A cross-sectional survey of climate change worry and sustainable consumption behaviours in Turkish nursing students.

Social media influencers have become fundamental actors in shaping consumer decision-making, yet how their attributes translate into consumer attitudes and purchase intentions remains underexplored in emerging, trust-driven, and fragile economies. This study investigates how influencer attributes, namely, credibility, expertise, trustworthiness, and information quality, affect consumers’ attitudes toward social media influencers and, ultimately, their online buying intentions. Drawing on the Stimulus–Organism–Response (SOR) model and Source Credibility Theory (SCT), this study adopts a mixed-methods approach with questionnaire data from 402 Lebanese consumers analyzed using Structural Equation Modeling, complemented by qualitative insights that enrich the interpretation of consumer evaluations. The quantitative results reveal that attitudes toward social media influencers serve as a mediating mechanism linking influencer attributes to online buying intention, with trustworthiness and information quality demonstrating comparatively stronger effects. The qualitative findings further contextualize these relationships by revealing that expertise is interpreted as practical, demonstrable competence rather than credential-based authority, while trustworthiness is grounded in authenticity and relational interaction. These insights advance theory by extending SOR and SCT into influencer marketing and methodologically by combining quantitative and qualitative evidence. Practically, the study guides marketers in Lebanon and similar emerging markets on selecting and leveraging influencers who foster trust, engagement, and sustainable consumer loyalty. • Trustworthiness and information quality most strongly drive online buying intentions. • Attitudes toward influencers mediate the effects of credibility cues on purchases. • Mixed-methods design explains how and why influencer attributes shape behavior. • Expertise is judged through localized demonstrations, not formal credentials. • Extends SOR and Source Credibility Theory to fragile, trust-sensitive markets.

Digital nudging and eco-friendly Choices: A cross-national study on sustainable consumer behavior in mobility-as-a-service (MaaS) platforms

Artificial intelligence (AI) is increasingly reshaping the operational landscape of quick-service restaurants (QSRs) by improving service efficiency and strengthening customer interactions. This study aims to examine the key factors influencing AI-enabled service quality and their impact on customer satisfaction, with particular emphasis on the mediating role of perceived value within the SERVQUAL framework. The research is based on data collected from 459 millennial respondents using a structured questionnaire, with participants selected through simple random sampling. The findings indicate that dimensions such as tangibility, reliability and responsiveness significantly contribute to customer satisfaction, while perceived value serves as an important mediating variable in this relationship. The results further demonstrate that AI-driven service quality positively influences customers’ perceived value, which, in turn, enhances their overall satisfaction. This highlights the critical role of value perception in translating technological advancements into meaningful customer experiences. The study provides practical implications for QSR operators, suggesting that effective integration of AI technologies can streamline service delivery, optimise pricing strategies and improve brand communication, ultimately leading to higher customer satisfaction and loyalty. Additionally, future research may expand the scope by incorporating other SERVQUAL dimensions, such as empathy and assurance, to gain a more comprehensive understanding of AI-driven service quality in the QSR sector.

Environmental sustainability is essential for food systems to support population health, yet is under-emphasized in diet-related population health efforts in the United States (U.S.). Corporate food retailers authorized for the Supplemental Nutrition Assistance Program (SNAP) are a meaningful sample for an exploration of environmental sustainability commitments, given their geographic spread and reach across socioeconomic segments of the population. There is no documentation of the landscape of environmental sustainability commitments by corporate SNAP-authorized food retailers to inform integrated population health and environmental sustainability research, practice, and policy. The purpose of this study was to identify the public commitments made by SNAP- authorized food retailers related to environmental sustainability. Corporate SNAP-authorized food retailers were defined as prominent and considered for study inclusion by the number of physical locations nationwide. Supermarkets and groceries were classified as traditional retailers, and all other store formats were non-traditional. Corporate commitments were collected on public facing websites between June- September 2024 as data sources for a content analysis. Commitments to environmental sustainability were categorized into nine relevant United Nations Sustainable Development Goal (SDGs). A total of 48 retailers (n = 13 traditional and n = 35 non-traditional) were included, and 31 retailers had commitments included in the content analysis. The most retailers (n = 31) had commitments related to SDG 12: Responsible Consumption and Production, while few food retailers (n = 7) had commitments related to SDG 3: Good Health and Well-Being. Between 16 and 28 food retailers committed towards five relevant SDGs including: Zero Hunger, Clean Water, Affordable Energy, Climate Action, Life Below Water, Life on Land, and Strong Institutions. Food retailers committed to a range of environmental sustainability topics, representing opportunities for partnerships, future research, and policy action. Developing partnerships for topics of interest to food retailers, like those within SDG 12: Responsible Consumption and Production, may be viable opportunities for public health practitioners.

ABSTRACT Due to their growth dependency, developed welfare states frequently exceed planetary boundaries and transgress sustainable consumption and production corridors that scholars deem crucial for mitigating climate change. Recognizing that international organizations (IOs) often act as policy entrepreneurs and innovators of new ideas, the article asks whether and how concepts of limits to welfare, which are crucial in recent academic debates on social policy in times of ecological crises, are translated and discussed by IOs. Empirically, it focuses on three key IOs: the International Labour Organization (ILO), the Organisation for Economic Co-operation and Development (OECD) and the World Bank. The article maps how IOs frame limits in global eco-social policy and use them strategically. It finds that limits have important implications for social policy: socially, they shift responsibilities to private actors; temporally, they allow a focus on innovation and future change; spatially, they expand policy opportunities into the periphery. These implications are also translated into specific policy proposals: promoting self-limitations rather than regulation, fostering technological and economic change, and exporting economic and social policy models from the Global North worldwide. These results give rise to doubts whether IOs sufficiently acknowledge ecological limits that could orient a transformative agenda of sustainable welfare.

The growth of the human population has resulted in increased food consumption, followed by the intensification of agri-food production. Human activities have a significant impact on the environment, causing, among other things, air and water pollution and the degradation of biodiversity (Rezazga et al., 2024). In an international context where there is intense concern over environmental issues, it is also essential to direct food production toward more sustainable models. In this framework, the use of systems for certifying the environmental footprint of agri-food products can serve as a lever for promoting sustainable production and consumption. The objective of this work is to explore the opportunities for certifying the environmental footprint of products, focusing particularly on some of the main environmental claims: global warming, water depletion, and biodiversity loss—with an emphasis on the “Living Olive Groves” proposal (LIFEO livares Vivos+), an environmentally and economically sustainable management system.The olive sector was chosen as a case study, as it is the primary tree crop in Mediterranean countries and has strong implications for human health and the environment. The study revealed the potential for adopting various mitigation and improvement strategies for environmental performance, while simultaneously pursuing market objectives related to certified products.

This study investigates the influence of sustainable marketing activities on brand image, customer involvement, and sustainable purchase intention within the Fast-Moving Consumer Goods (FMCG) sector in England, while examining gender as a moderating variable. Grounded in Signaling Theory and the Theory of Planned Behaviour, the research adopts a positivist philosophical stance and a quantitative, deductive approach. Data were collected through a structured online survey administered to 273 FMCG consumers in England, ensuring balanced representation of male and female respondents. Structural Equation Modelling (SEM) using AMOS, along with regression analysis, was employed to test the proposed moderated-mediation model. The findings reveal that sustainable marketing activities significantly enhance brand image, which in turn strengthens customer involvement and ultimately increases sustainable purchase intention. Brand image and customer involvement were found to act as sequential mediators in the relationship between sustainable marketing activities and sustainable purchase intention, confirming a partial serial mediation effect. The results also indicate that sustainable marketing has both direct and indirect effects on sustainable purchase intention, highlighting its significant role in shaping consumer behaviour in the FMCG sector. However, the moderating effect of gender was found to be statistically insignificant. Although minor differences in path strengths were observed between male and female consumers, these differences did not significantly alter the overall relationships in the model. This suggests that sustainable marketing strategies are broadly effective across genders in the English FMCG context. The study contributes to existing literature by providing empirical evidence on the integrated role of sustainability-driven marketing in shaping consumer behaviour and clarifying the limited moderating role of gender. It offers practical implications for FMCG companies, emphasising the importance of strengthening sustainable brand image and fostering consumer involvement to drive sustainable purchasing behaviour.

ObjectiveTo explore the perspectives and experiences of community pharmacists in Northern Ireland regarding returned medicines, pharmaceutical waste, and safe disposal practices, with a focus on identifying barriers, opportunities, and policy implications.MethodsA qualitative study using semi-structured in-depth interviews was conducted with 15 community pharmacists recruited through purposive sampling. Interviews were held online using Zoom or Microsoft Teams, lasting 30–45 minutes each. Data was audio-recorded, transcribed verbatim, and analysed using Braun and Clarke’s six-step inductive thematic analysis framework. Two researchers independently coded the data, and discrepancies were resolved through discussion.ResultsSeven key themes were identified: (1) Equitable access to return services, highlighting variability in public awareness and participation; (2) Safe pharmacy disposal practices, reflecting structured yet resource-dependent protocols; (3) Waste reduction through supply control, where pharmacists actively worked to minimise unnecessary dispensing; (4) Collaborative waste management, revealing informal partnerships with GPs and care homes; (5) Financial/Operational Burden of Disposal Services, showing frustration at the destruction of potentially reusable medications; (6) Workforce skills and support, noting a lack of formal training and clear guidance; and (7) Legal Tensions in Medicine Reuse, capturing the stiffness between waste reduction and strict safety regulations.ConclusionCommunity pharmacists in Northern Ireland are committed to reducing medicine waste and ensuring safe disposal, but face regulatory, operational, and workforce-related barriers. Addressing these challenges will require standardised protocols, pharmacist-led public education, and greater integration into prescribing processes. These actions directly support global efforts toward achieving the United Nations Sustainable Development Goals, including Good Health and Well-being, Responsible Consumption and Production, and Climate Action. Empowering pharmacists through training, policy support, and interprofessional collaboration is essential for building a more sustainable, equitable, and environmentally responsible healthcare system.