EXPLORING POTENTIAL FACTORS ON THE PURCHASE INTENTION OF BATTERY ELECTRIC VEHICLES (BEVS) AMONG MILLENNIALS TO EXPAND MARKET SHARE IN AUTOMOTIVE INDUSTRY

Several countries have initiated the process of transitioning to electric vehicles in order to reduce pollution and emissions. However, Indonesia, a country with a significant automotive market, currently accounts for less than 2% of the market share in electric car sales compared to overall market...

Full description

Saved in:
Bibliographic Details
Main Author: Nur Indriani, Fitria
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/75318
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:75318
spelling id-itb.:753182023-07-26T14:33:13ZEXPLORING POTENTIAL FACTORS ON THE PURCHASE INTENTION OF BATTERY ELECTRIC VEHICLES (BEVS) AMONG MILLENNIALS TO EXPAND MARKET SHARE IN AUTOMOTIVE INDUSTRY Nur Indriani, Fitria Indonesia Final Project Purchase Intention, Battery Electric Vehicles, Consumer Attitudes INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/75318 Several countries have initiated the process of transitioning to electric vehicles in order to reduce pollution and emissions. However, Indonesia, a country with a significant automotive market, currently accounts for less than 2% of the market share in electric car sales compared to overall market sales. Therefore, the purpose of this study is to investigate the potential factors that influence consumer purchase intention and attitude specifically to Generation Y or millennials, with the aim of increasing market sales. Previous research has indicated that attitude plays a significant role in purchase intention, which forms the theoretical foundation for this study. The extended variables include price value, perceived risk, perceived benefit, government policy, infrastructure barriers, instrumental attributes, perceived technology, and environmental concern. Both qualitative and quantitative methods were employed to collect data. The qualitative method involved a netnography analysis of by random sampling from gathering social media discussion to validate consumer’s perceptions of electric vehicles. On the other hand, a questionnaire also distributed online to 230 respondents, by non- probability sampling especially purposive sampling by targeting individuals born between 1981 and 1996. To analyze the data, multiple linear regression was performed using SPSS. The results indicate that price value, perceived benefit, government policy, infrastructure barrier, instrumental attribute and attitude significantly influence electric vehicles purchase intention. Additionally, price value, perceived risk, perceived benefit, infrastructure barrier, instrumental attribute and environmental concern impact consumer attitudes. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Several countries have initiated the process of transitioning to electric vehicles in order to reduce pollution and emissions. However, Indonesia, a country with a significant automotive market, currently accounts for less than 2% of the market share in electric car sales compared to overall market sales. Therefore, the purpose of this study is to investigate the potential factors that influence consumer purchase intention and attitude specifically to Generation Y or millennials, with the aim of increasing market sales. Previous research has indicated that attitude plays a significant role in purchase intention, which forms the theoretical foundation for this study. The extended variables include price value, perceived risk, perceived benefit, government policy, infrastructure barriers, instrumental attributes, perceived technology, and environmental concern. Both qualitative and quantitative methods were employed to collect data. The qualitative method involved a netnography analysis of by random sampling from gathering social media discussion to validate consumer’s perceptions of electric vehicles. On the other hand, a questionnaire also distributed online to 230 respondents, by non- probability sampling especially purposive sampling by targeting individuals born between 1981 and 1996. To analyze the data, multiple linear regression was performed using SPSS. The results indicate that price value, perceived benefit, government policy, infrastructure barrier, instrumental attribute and attitude significantly influence electric vehicles purchase intention. Additionally, price value, perceived risk, perceived benefit, infrastructure barrier, instrumental attribute and environmental concern impact consumer attitudes.
format Final Project
author Nur Indriani, Fitria
spellingShingle Nur Indriani, Fitria
EXPLORING POTENTIAL FACTORS ON THE PURCHASE INTENTION OF BATTERY ELECTRIC VEHICLES (BEVS) AMONG MILLENNIALS TO EXPAND MARKET SHARE IN AUTOMOTIVE INDUSTRY
author_facet Nur Indriani, Fitria
author_sort Nur Indriani, Fitria
title EXPLORING POTENTIAL FACTORS ON THE PURCHASE INTENTION OF BATTERY ELECTRIC VEHICLES (BEVS) AMONG MILLENNIALS TO EXPAND MARKET SHARE IN AUTOMOTIVE INDUSTRY
title_short EXPLORING POTENTIAL FACTORS ON THE PURCHASE INTENTION OF BATTERY ELECTRIC VEHICLES (BEVS) AMONG MILLENNIALS TO EXPAND MARKET SHARE IN AUTOMOTIVE INDUSTRY
title_full EXPLORING POTENTIAL FACTORS ON THE PURCHASE INTENTION OF BATTERY ELECTRIC VEHICLES (BEVS) AMONG MILLENNIALS TO EXPAND MARKET SHARE IN AUTOMOTIVE INDUSTRY
title_fullStr EXPLORING POTENTIAL FACTORS ON THE PURCHASE INTENTION OF BATTERY ELECTRIC VEHICLES (BEVS) AMONG MILLENNIALS TO EXPAND MARKET SHARE IN AUTOMOTIVE INDUSTRY
title_full_unstemmed EXPLORING POTENTIAL FACTORS ON THE PURCHASE INTENTION OF BATTERY ELECTRIC VEHICLES (BEVS) AMONG MILLENNIALS TO EXPAND MARKET SHARE IN AUTOMOTIVE INDUSTRY
title_sort exploring potential factors on the purchase intention of battery electric vehicles (bevs) among millennials to expand market share in automotive industry
url https://digilib.itb.ac.id/gdl/view/75318
_version_ 1822994326520594432