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Influencing factors of purchase intention on electric vehicle in Jakarta : implication of modified UTAUT theory

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2023C248CS/248IPMI KalibataAvailable

Publisher :Sekolah Tinggi Manajemen IPMI , 2023

The increasing global concern for sustainable transportation has led many cities to explore the adoption of electric vehicles (EVs) as a solution to mitigate environmental pollution. Jakarta, as one of the most populous and polluted cities in the world, faces numerous challenges in implementing EVs. This abstract aims to provide an overview of the electric vehicle issue in Jakarta and investigate the intention to adopt EVs among its residents using the unified theory of acceptance and use of technology (UTAUT) model, this abstract discusses the specific challenges encountered in the implementation of electric vehicles in Jakarta. These challenges include the limited charging infrastructure, high upfront costs of EVs, inadequate public awareness and education, and the need for supportive policies and regulations. Understanding these challenges is crucial to develop effective strategies for promoting EV adoption in the city. Next will focus on examining the intention to adopt EVs among Jakarta's residents using the modified UTAUT model. UTAUT is a widely accepted theoretical framework that identifies key factors influencing the acceptance and use of technology. These factors include performance expectancy, effort expectancy, social influence, government support, price value, facilitating conditions, and intentional behavior. By applying the modified UTAUT model to the context of EV adoption in Jakarta, we can gain insight into the underlying factors that influence individuals' intention to embrace electric vehicles. Through a variety of SEM-PLS analyses with smartPLS 3, this research collected and anlyzed data from 165 females and males.

Series Title
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Call Number
CS/248
Publisher Place Jakarta Selatan
Collation
111p: ill; 30cm
Language
English
ISBN/ISSN
-
Classification
CS/248
Media Type
-
Carrier Type
-
Edition
-
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Specific Info
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Content Type
text

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