Determining Sustainable Purchase Behavior for Green Products from Name-Brand Shops: A Gen Z Perspective in a Developing Country

Sustainability, Journal Year: 2024, Volume and Issue: 16(9), P. 3747 - 3747

Published: April 30, 2024

Over the years, overconsumption of natural resources has been an issue concern. Companies have inducing sustainable practices and approaches to help environment. By specifically applying sustainability theory planned behavior, this study sought extensively investigate behavioral preference intention buy green products across name-brand businesses in a developing country. Utilizing Structural Equation Modeling, examined responses from 300 valid participants. The results revealed that consumers’ purchasing preferences intentions are affected by customer expectation for products, government, concern It was seen customers prepared pay extra stores sell eco-friendly or goods. In accordance, purchase greatly product, as findings indicate customer-perceived value highest influential consequential relationship purposes. Customers inclined goods if product meets requirements expectations consumer. Furthermore, buying shops also individuals’ environmental concerns awareness, personal needs beliefs, society, individual attitudes. For stores, environmentally friendly most strongly associated with their perception own value, followed perceived authority support can be relevant understanding exploring shops.

Language: Английский

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Machine Learning Methods Analysis of Preceding Factors Affecting Behavioral Intentions to Purchase Reduced Plastic Products

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2978 - 2978

Published: April 3, 2024

The COVID-19 pandemic has led to an increase in the use of personal protective equipment and single-use plastics, which exacerbated plastic littering on land marine environments. Consumer behaviors with regards eco-friendly products, their acceptance, intentions purchase need be explored help businesses achieve sustainability goals. This paper establishes Sustainability Theory Planned Behavior (STPB), integration TPB domains, order analyze said objectives. study employed a machine learning ensemble method used MATLAB data. results showed that support attitude from perceived authorities were main variables influencing customers’ for purchasing reduced products. Customers high level environmental awareness more likely embrace items as way lessen ecological footprint conservation, making concern another important factor. shows play big role community people choose it duty governments companies promote awareness. emphasizes significance latent considered when developing marketing plans activities meant products less plastic.

Language: Английский

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Integrating Machine Learning and Material Feeding Systems for Competitive Advantage in Manufacturing

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 980 - 980

Published: Jan. 20, 2025

In contemporary business environments, manufacturing companies must continuously enhance their performance to ensure competitiveness. Material feeding systems are of pivotal importance in the optimization productivity, with attendant improvements quality, reduction costs, and minimization delivery times. This study investigates selection material methods, including Kanban, line-storage, call-out, kitting systems, within a company. The research employs six machine learning (ML) algorithms—logistic regression (LR), decision trees (DT), random forest (RF), support vector machines (SVM), K-nearest neighbors (K-NN), artificial neural networks (ANN)—to develop multi-class classification model for system selection. Utilizing dataset comprising 2221 materials an 8-fold cross-validation technique, ANN exhibits superior across all evaluation metrics. Shapley values analysis is employed elucidate influence input parameters process systems. provides comprehensive framework selection, integrating advanced ML models practical insights. makes significant contribution field by enhancing decision-making processes, optimizing resource utilization, establishing foundation future studies on adaptive scalable strategies dynamic industrial environments.

Language: Английский

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Assessment of Service Quality and Trust of E-Public Transportation in Doha Qatar

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(3), P. 174 - 174

Published: March 14, 2025

This study examined the relationship between service quality, trust, and passenger satisfaction in sustainable e-public transportation, using Doha Metro Qatar as a case study. Despite its advanced automation, metro faces low adoption, with less than 30% of economically active population utilizing it. To address this, this integrated Social Exchange Theory (SET) SERVQUAL RATER model machine learning techniques to assess commuter perceptions satisfaction. Neural network Long Short-Term Memory (LSTM) models outperformed traditional statistical methods, offering enhanced predictive accuracy. Based on 319 survey responses, key quality factors were identified, emphasizing customer experience (NI = 100.0%), security 99.9%), reliability 90.8%). Findings suggested that improving affordability dynamic pricing could increase ridership while reducing private vehicle reliance. Additionally, maintenance crisis management strategies are recommended enhance reliability. contributes urban mobility by providing data-driven recommendations for efficient environmentally friendly transportation. Policymakers planners can utilize these insights improve transit system adoption. Future research may explore multi-city comparisons hybrid modeling further refinement.

Language: Английский

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Marketing Strategy and Preference Analysis of Electric Cars in a Developing Country: A Perspective from the Philippines

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(3), P. 111 - 111

Published: March 14, 2024

The wide-scale integration of electric vehicles (EVs) in developed countries represents a significant technological innovation and step toward reducing carbon emissions from transportation. Conversely, developing nations like the Philippines, adoption availability EVs have not been as rapid or widespread compared to other countries. In identifying this gap, study delved into preferences factors influencing Filipino consumers’ willingness purchase EVs. gathered 311 valid responses utilizing conjoint analysis with an orthogonal approach assess attributes customers’ decisions. Conjoint tools such IBM SPSS v25 statistics were utilized infer consumer preference. results determined that cost is primary concern for consumers by considerable margin; followed battery type charging method; along EV, driving range, speed; most minor regenerative brakes. Therefore, there apparent sensitivity price technology. This first apply Philippine market, delivering in-depth preference insights can help manufacturers policymakers customize their making more attractive viable less markets. suggest targeted effort overcome barriers improve literacy among prospective buyers should be productive speeding up EV Philippines. could extended future research broader assessment socioeconomic environmental benefits, laying out plan promoting sustainable solutions

Language: Английский

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Analysis of values-beliefs-norms of decommissioned nuclear power plant reestablishment acceptance in developing countries: a perspective from the Philippines

Nuclear Engineering and Technology, Journal Year: 2024, Volume and Issue: 56(8), P. 3224 - 3235

Published: March 18, 2024

Amid the ongoing discourse on clean energy solutions, reopening of decommissioned plants, such as Bataan Nuclear Power Plant (BNPP) in Philippines has become a focal point country. This study delved into complex web factors influencing public acceptance BNPP, employing values-beliefs-norms theory. By utilizing partial-least square structural equation modeling, research unravelled intricate relationships among biospheric values, altruistic egoistic ecological worldview, awareness consequences, personal norm, social and broader BNPP establishment. With 434 respondents participating self-administered online survey, identified key correlations. Emphasizing collaborative impact decision-making processes by norms, also highlighted role values shaping awareness. The foundational worldviews was explored, shedding light attitudes toward nuclear energy. offers actionable insights for policymakers, advocating targeted communication strategies engagement initiatives to navigate barriers promote informed dynamic landscape development. contributes global conversation sustainable strategies, emphasizing pivotal perception trajectory power.

Language: Английский

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Application of an ensemble CatBoost model over complex dataset for vehicle classification

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(6), P. e0304619 - e0304619

Published: June 12, 2024

The classification of vehicles presents notable challenges within the domain image processing. Traditional models suffer from inefficiency, prolonged training times for datasets, intricate feature extraction, and variable assignment complexities classification. Conventional methods applied to categorize extensive datasets often lead errors, misclassifications, unproductive outcomes. Consequently, leveraging machine learning techniques emerges as a promising solution tackle these challenges. This study adopts approach alleviate misclassifications manage large quantities vehicle images effectively. Specifically, contrast enhancement technique is employed in pre-processing stage highlight pixel values images. In segmentation stage, Mask-R-CNN utilized pixels into predefined classes. VGG16 then extract features images, while an autoencoder aids selecting by non-linear input compressing representation features. Finally, CatBoost (CB) algorithm implemented (VC) diverse critical environments, such inclement weather, twilight, instances blockage. Extensive experiments are conducted using different large-scale with various platforms. findings indicate that CB (presumably specific method or algorithm) attains highest level performance on dataset named UFPR-ALPR, accuracy rate 98.89%.

Language: Английский

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Factors Influencing the Adoption of Electric Jeepneys: A Philippine Perspective

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(7), P. 284 - 284

Published: June 26, 2024

The implementation of e-jeepneys stands as a change process that will eventually transition to the modernization public transport system in Philippines. To address concerns about jeepneys’ effects on environment, energy use, society, economy, and policies, their acceptability Philippines must be considered. This research study aims identify sources influence Filipinos’ adoption e-jeepney utilization mode transportation using extended Pro-Environmental Planned Behavior (PEBP) model. A total 502 commuters voluntarily answered survey questionnaire. Based findings, perceived environmental concern (PEC) is most significant determinant influencing attitude (AT) and, thus, affecting behavioral intention (BI) towards e-jeepneys. Conversely, AT was primary BI, which strongly supported notion strong driving force shaping decisions. Moreover, authority support (PAS) emerged predictor subjective norms (SNs), demonstrating institutional societal perceptions. As result, more environmentally conscious people are likely view positively intend use them transportation. endorsement or from authoritative figures institutions notably influences norms, individuals’ perceptions social pressures regarding

Language: Английский

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Exploring user usability perceptions and acceptance of chording-enabled keyboards: A perspective between human-computer interaction

Acta Psychologica, Journal Year: 2024, Volume and Issue: 250, P. 104521 - 104521

Published: Oct. 1, 2024

In recent years, a variety of alternative keyboard designs have emerged with the primary goal enhancing user comfort and productivity compared to conventional keyboards. The objective this study was determine variables affecting acceptance perceptions people towards chording-enabled A holistic analysis done use an extended framework unified theory technology (UTAUT2), analyzed through partial least square structural equation modeling. Gathering total 430 valid respondent purposive sampling, perceived usability, behavioral intention, usage behavior, habit, performance expectancy, social influence, hedonic motivation were seen be important factors in adopting chord-enabled From output, it posited that attributes keyboards' functionality, ease use, adaptability, people's willingness it, significantly affected their intention using keyboard. findings suggestions included will benefit not only users but also developers by providing insights into preferences. Efficiently improving marketing chording enabled keyboards could considered as suggested implications. Moreover, study's model construct utilized other studies related different countries.

Language: Английский

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Adaptive K-Nearest Neighbors Algorithm Based on Maximum Fuzzy Probability Criterion

Published: Jan. 1, 2024

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Language: Английский

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