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61,005 resultsShowing papers similar to Machine Learning Methods Analysis of Preceding Factors Affecting Behavioral Intentions to Purchase Reduced Plastic Products
ClearMachine learning approach to uncover customer plastic bag usage patterns in a grocery store
Researchers applied machine learning to grocery store transaction data to uncover patterns in customer plastic bag use and identify who is most likely to use reusable bags. Understanding consumer behavior is key to designing effective policies that reduce plastic bag consumption and, ultimately, plastic waste entering the environment.
Do attitude towards behavior, subjective norms, and perceived control behavior matter on environmentally friendly plastic purchasing intention?
This study investigated whether attitude toward behavior, subjective norms, and perceived behavioral control predict consumer intention to purchase environmentally friendly plastic products, using questionnaire data collected via social media platforms. The findings provide empirical support for the Theory of Planned Behavior as a framework for understanding sustainable plastic purchasing decisions.
Predicting green product consumption using theory of planned behavior and reasoned action
Researchers applied the theory of planned behavior to investigate how environmental awareness and social influence predict consumer intentions to use reusable bags, finding that these factors significantly shape green purchasing behavior in a plastic waste reduction context.
Determinants of Finnish consumers’ purchase intention for eco-friendly jute bags as an alternative to plastic
Researchers examined the determinants of Finnish consumers' purchase intention for eco-friendly jute bags as an alternative to single-use plastics, applying the Theory of Planned Behavior and finding that environmental concern, perceived consumer effectiveness, and subjective norms significantly influence purchasing decisions.
The Effect of Environmental Education, Consumer Awareness, and Environmentally Friendly Practices on Plastic Waste Reduction in Indonesia
Researchers measured the effects of environmental education, consumer awareness, and environmentally friendly purchasing intentions on pro-environmental behavior, using structural equation modeling on survey data. Environmental education indirectly improved behavior through increasing awareness and purchase intention, suggesting that educational interventions are most effective when paired with behavioral prompts.
Analysis of Factors of Single-Use Plastic Avoidance Behavior for Environmental Sustainability in China
A structural equation modeling study of 421 Chinese respondents found that attitude, perceived behavioral control, and policy intervention significantly influenced single-use plastic avoidance behavior, mediated by behavioral intentions and plastic-related environmental concerns.
Development of a New Conceptual Model: Consumers’ Purchase Intention towards Eco-friendly Bags
This paper is not about microplastics; it proposes a consumer behavior model to understand factors influencing purchase intentions toward eco-friendly bags as a plastic reduction strategy.
Why do consumers buy paper bags? The Impact of Habit, Consumer Awareness and Sustainability as Drivers of Environmentally Responsible Consumer Behavior
Researchers surveyed 252 Indonesian consumers using Structural Equation Modeling to examine how sustainability values, consumer awareness dimensions, and habitual behavior drive environmentally responsible purchasing decisions such as choosing paper bags. Results showed significant positive relationships between all three drivers and responsible consumer behavior, emphasizing personal agency and habitual action as key levers for promoting green choices.
Predictive Power of Goal-striving Reasons for Self-reported and Actual Plastic Consumption
This psychology study examined whether people's reasons for reducing plastic use can predict their actual plastic consumption behavior. Understanding the psychological drivers of plastic reduction could inform more effective public communication campaigns about microplastic pollution.
The Impact of Seeking and Processing Environmental Information Related to Microplastics on Pro-environmental Behavior Intentions : Focusing on the Risk Information Seeking and Processing Model (RISP)
Researchers applied the Risk Information Seeking and Processing (RISP) model to examine how seeking and processing microplastic-related environmental information influences pro-environmental behavior intentions, finding that subjective norms around information were more predictive than negative emotions or perceived information insufficiency.
The value of multi-proxy experiments to study pro-environmental behavior
This methodological study argues that pro-environmental behavior research should use multiple proxy measures rather than relying on a single behavioral indicator, since different measures capture different dimensions of environmental action. The recommendation is relevant to studies assessing consumer responses to plastic pollution and waste reduction initiatives.
Purchase intention toward sustainable masks after COVID-19: the moderating role of health concern
Researchers surveyed Korean consumers and found that health concerns about mask-related pollution and environmental knowledge both strengthen intentions to purchase sustainable masks, with value-belief-norm theory and planned behavior models successfully predicting pro-environmental purchasing decisions.
Exploring the psychological antecedents of private and public sphere behaviours to reduce household plastic consumption
Researchers surveyed 648 people to understand what psychological factors drive different plastic-reduction behaviors — switching to plastic-free products, political activism, and supporting policy. Personal moral norms predicted all three types of action, while feeling personally capable was the strongest driver of purchase decisions, suggesting that reducing plastic use requires addressing both values and practical barriers.
Uncovering hidden determinants of millennial farmers’ intentions in running conservation agriculture: An application of the Norm Activation Model
Not relevant to microplastics — this study applies the Norm Activation Model to understand why millennial farmers in Central Java, Indonesia do or do not adopt conservation practices on degraded mountain agricultural land.
Machine learning approaches for predicting microplastic pollution in peatland areas
Researchers used machine learning models to predict microplastic quantities in peatland sediments in Vietnam from easily measurable environmental parameters. The study found that pH, total organic carbon, and salinity were the most influential factors, and that Least-Square Support Vector Machines and Random Forest models could effectively predict microplastic contamination levels.
Analyzing the Sociodemographic and Psychological Factors Influencing the Intention to Consume Single-Use Plastics Among University Students: A Cross-Sectional Quantitative Study
Researchers examined sociodemographic and psychological factors influencing single-use plastic consumption intentions among 125 Indonesian university students, finding that age, education level, and economic status all significantly predicted behavior, while personal beliefs were the dominant psychological predictor — integrating Theory of Planned Behaviour and Value-Belief-Norm frameworks.
Assessment of machine learning-based methods predictive suitability for migration pollutants from microplastics degradation
Researchers assessed the usefulness of machine learning methods for predicting the migration of chemical pollutants from microplastics. The study found that artificial neural networks and support vector methods showed strong potential for modeling and predicting the leaching of plasticizers and other contaminants, which could reduce the need for extensive laboratory analyses.
Factors Affecting the Intention to Implement Pro-environmental Behaviors: A Case of Riverside Communities in Cotabato City Rivers, Mindanao Island, Philippines
Researchers applied the Theory of Planned Behavior to survey 387 riverside community residents in Cotabato City, Philippines, finding that attitude and subjective norms significantly predicted pro-environmental behavior intentions for river conservation, while gender moderated the relationship between perceived behavioral control and behavioral intention.
Analysis of intention to purchase environmentally friendly packaging in the city of Ribeirão Preto, Brazil
Despite its title referencing environmentally friendly packaging, this paper is a consumer behavior survey studying what factors drive Brazilians to intend to buy eco-friendly packaging — not original research on microplastic pollution or its effects. It examines environmental concern and personal values as predictors of purchasing decisions and is not directly relevant to microplastic contamination or human health.
Intention to use reusable shopping bags in an emerging economy: a Bayesian Mindsponge framework analysis
Researchers applied the Bayesian Mindsponge Framework to survey data from 536 Vietnamese consumers, finding that voluntary personal norms rather than obligation were the primary driver of intention to use reusable shopping bags over single-use plastic bags. The results suggest that pro-environmental behavior in emerging economies is more effectively cultivated through values-based approaches than compliance framing.
Application of machine learning in assessing spatial distribution patterns of soil microplastics: a case study of the Bang Pakong Watershed, Thailand
Machine learning models were applied to predict spatial distribution patterns of microplastics in soils across a Thai watershed, identifying land use types and proximity to water bodies as key factors driving contamination levels.
Sustainable Choices: Understanding Gen Z’s Attitude and Intentions towards Green Products
Researchers surveyed consumers including Generation Z and higher-educated adults to examine how environmental concern, green product expectations, awareness of consequences, responsibility attribution, and personal norms jointly shape attitudes and purchase intentions toward eco-friendly products. The structural model reveals that personal norms and attitude are the strongest proximal predictors of sustainable purchasing behavior.
Determinants of Green Purchase Intention for Personal Care Products: An Extended TPB Study in Colombo, Sri Lanka
Researchers surveyed 385 urban consumers in Colombo, Sri Lanka to understand what drives green purchasing intentions for personal care products using an extended Theory of Planned Behavior model. Environmental knowledge, health consciousness, and positive attitudes were the strongest predictors of green purchase intent, while price sensitivity was the main barrier.
Predicting microplastic quantities in Indonesian provincial rivers using machine learning models
This study used machine learning models to predict microplastic levels in rivers across 24 Indonesian provinces based on environmental and economic data. Temperature, economic output, and population density were the strongest predictors of microplastic pollution. The approach could help environmental agencies monitor and manage microplastic contamination in freshwater systems more efficiently.