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Journal : West Science Nature and Technology

Bibliometric Analysis of Electric Vehicle Adoption and Market Trends Judijanto, Loso; Hildawati, Hildawati
West Science Nature and Technology Vol. 3 No. 01 (2025): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/vjsmjp35

Abstract

The adoption of electric vehicles (EVs) has emerged as a crucial solution to reduce carbon emissions and enhance sustainable transportation. This study conducts a bibliometric analysis to examine research trends, influential authors, and thematic developments in EV adoption and market trends. Using Scopus as the data source and VOSviewer for analysis, this study identifies key research clusters, including consumer behavior, charging infrastructure, environmental impact, and technological advancements. The findings reveal a significant increase in EV-related research, particularly in recent years, with the United States, China, and India leading contributions. Keyword analysis highlights critical themes such as government policies, battery technology, and vehicle-to-grid integration. Despite progress, challenges such as high upfront costs, limited charging infrastructure, and regional disparities persist. The study suggests future research directions focusing on battery sustainability, AI-driven mobility solutions, and smart grid integration. This bibliometric analysis provides valuable insights for researchers, policymakers, and industry stakeholders, contributing to the advancement of electric mobility research.
Influence of Government Policy, Community Ecological Awareness, and Adoption of New Technology on Successful Forest Management in Kalimantan Judijanto, Loso; Hildawati, Hildawati
West Science Nature and Technology Vol. 2 No. 02 (2024): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v2i02.1014

Abstract

Forest management is a critical concern in Kalimantan, Indonesia, where rapid deforestation and ecological degradation pose significant environmental challenges. This study explores the influence of government policy, community ecological awareness, and new technology adoption on successful forest management. Utilizing a quantitative research design, data were collected from 170 respondents, including government officials, community leaders, and forest management professionals. Structural Equation Modeling (SEM) using Partial Least Squares (PLS) was employed for data analysis. The findings reveal that government policy, community ecological awareness, and new technology adoption significantly impact forest management success. Government policy emerged as the most influential factor, followed by new technology adoption and community ecological awareness. These results underscore the importance of an integrated approach that combines robust policies, active community engagement, and advanced technologies to enhance forest management outcomes. The study provides valuable insights for policymakers, practitioners, and researchers in developing effective strategies for sustainable forest management in Kalimantan and similar regions.