Modeling Shared Electric Mobility Adoption: Insights from Hybrid Latent-Class and Latent-Variable Approach DOI
Janak Parmar, Paolo Delle Site, Dilum Dissanayake

et al.

Published: Jan. 1, 2025

Language: Английский

Impact of materialism on tourists’ green purchase behavior: Extended norm activation model perspective DOI
Anand Jhawar, Prashant Kumar, D. Israel

et al.

Journal Of Vacation Marketing, Journal Year: 2023, Volume and Issue: 30(4), P. 841 - 855

Published: May 25, 2023

In the context of tourists’ eco-friendly consumption behavior, this study examines effects materialism and cardinal variables in norm activation model (NAM; i.e. awareness consequences, ascription responsibility, moral norms) on green purchase behavior. Using an online structured questionnaire, useable data was collected from 405 tourists, structural equation modeling SmartPLS 3.0 performed to examine relationships. The results showed that negatively affected consequences norms but did not affect responsibility. Interestingly, environmental degradation significantly Further, mediated Thus, integrates with NAM makes a novel contribution adjoining literature literature. role as external locus-of-control predict consumption, along subsequent managerial implications, are discussed further.

Language: Английский

Citations

12

Embracing Urban Micromobility: A Comparative Study of E-Scooter Adoption in Washington, D.C., Miami, and Los Angeles DOI Creative Commons
Mostafa Jafarzadehfadaki, Virginia P. Sisiopiku

Urban Science, Journal Year: 2024, Volume and Issue: 8(2), P. 71 - 71

Published: June 18, 2024

E-scooters have emerged as a popular micromobility option for short trips, with many cities embracing shared e-scooters to enhance convenience travelers and reduce reliance on automobiles. Despite their rising popularity, there is lack of clear understanding how user preferences adoption practices vary by location. This study aims explore non-user attitudes towards e-scooter use in diverse urban settings. A meta-analysis data from three surveys (N = 1197) conducted Washington, D.C., Miami, FL, Los Angeles, CA, was performed compare users profiles, mode choice factors, use. Additionally, machine learning (ML) SHAP (SHapley Additive exPlanations) analysis were utilized identify influential factors predicting each city. The results reveal that the majority are 25 39 age, male, higher income bachelor’s degree, 92% possess driver’s license. Significant differences between non-users highlight complexity perceptions usage. ML model indicates employment status negatively impacts prediction users, while such living without car using non-motorized modes positively influence Educational background significant factor D.C. whereas attitudinal questions technology usage Angeles. These findings provide valuable insights into shaping adoption, informing transportation planning policymaking enhancing its impact mobility.

Language: Английский

Citations

4

Sustainable Consumer Behavior in the Social Exclusion Context: Impact on Upcycled Product Adoption and Environmental Sustainability Metrics DOI Open Access
Yufang Jiang,

Kwang-Su Lee,

Chang‐Hyun Jin

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 647 - 647

Published: Jan. 15, 2025

This study investigates how social exclusion influences sustainable consumption patterns, specifically examining its impact on upcycled product adoption as a key metric of circular economy implementation, while also the moderating effects self-efficacy and consumer innovativeness. As isolation becomes increasingly prevalent in modern society, understanding behaviors has become crucial. A survey involving 857 participants was executed October 2024, data were analyzed using structural equation modeling with EQS 6.4. The results revealed that positively both purchase intention for products perception ethical consumption. Furthermore, an enhanced significantly enhances products. Self-efficacy demonstrated significant throughout all relationships model, notably pronounced relationship between awareness. Consumer innovativeness exhibited effect solely association perception, but not intentions. research advances sustainability measurement frameworks by establishing quantifiable links psychological factors outcomes, offering practical metrics assessing dimensions implementation.

Language: Английский

Citations

0

Exploring the tenability of shared electric mobility alternatives: Will car users adopt eHUBs? DOI Creative Commons
Harpreet Singh, Ajay Kathuria, Kuldeep Kavta

et al.

Transport Policy, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0

Modeling Shared Electric Mobility Adoption: Insights from Hybrid Latent-Class and Latent-Variable Approach DOI
Janak Parmar, Paolo Delle Site, Dilum Dissanayake

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0