INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XI, November 2025  
Exploring Purchase Intent and Post-Purchase Satisfaction Among  
Electric Scooter Consumers  
Dr. Vishnu P  
Assistant Professor on Contract, PG & Research Department of Commerce, Sanatana Dharma College  
Alappuzha, Kerala, India  
DOI: https://doi.org/10.51583/IJLTEMAS.2025.1411000013  
Received: 16 November 2025; Accepted: 24 November 2025; Published: 02 December 2025  
ABSTRACT  
This study examines the adoption of electric scooters, emphasizing the factors influencing consumers’ purchase  
decisions and post-purchase satisfaction. It explores key determinants such as cost, range, charging  
infrastructure, design, and environmental benefits, while also addressing challenges like high initial investment  
and inadequate charging facilities. Data were collected from 50 electric scooter users in Alappuzha using a  
structured questionnaire. The findings offer valuable insights for manufacturers and policymakers to enhance  
electric scooter adoption and user satisfaction, thereby supporting the transition toward sustainable urban  
mobility.  
Keywords: Electric Scooters, Buyers Commitment, Purchase Intention, Purchase Decisions, Energy Saving  
INTRODUCTION  
The adoption of electric vehicles (EVs), especially electric scooters, plays a crucial role in promoting sustainable  
transportation and reducing dependence on fossil fuels. Electric scooters are gaining popularity as a clean,  
affordable, and efficient mode of personal transport. However, their adoption rates differ across various regions  
and demographic groups. Understanding the factors that influence consumer decisions—such as cost, range,  
infrastructure, and environmental concerns—is essential for encouraging wider use of EVs.  
Educational qualifications have also been identified as a key factor that may shape individuals' attitudes and  
behaviors towards adopting electric vehicles. This project aims to explore how educational background affects  
consumer choices related to electric scooter purchases, along with other influencing factors. By analyzing these  
aspects, the study seeks to provide insights that can help policymakers, companies, and researchers develop  
targeted strategies and awareness campaigns to promote EV usage and build more sustainable urban transport  
systems.  
Statement of Problem  
This project seeks to investigate the adoption of electric scooters and understand the factors that influence  
consumers' decisions to purchase electric vehicles (EVs). Electric scooters have emerged as a popular mode of  
transport. Electric scooters vary in design, graphic and other characteristics across different demographics and  
regions and understanding the barriers and motivations regarding this is crucial. Simultaneously, the owning of  
EVs is laden with challenges such as higher upfront costs and limited charging infrastructure. By investigating  
the concerning factors, the current study aims to provide valuable insights for the industry, its stakeholders,  
policymakers, and researchers enabling the development of targeted strategies to promote the purchase of electric  
scooters and EVs ultimately fostering sustainable transportation systems.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XI, November 2025  
Need and Significance  
The project is of utmost importance due to the need for sustainable and cost-effective transportation solutions.  
Besides the environmental advantages, electric scooters present a promising alternative to conventional vehicles,  
as they offer not only reduced emissions but also potential cost savings in terms of fuel and maintenance  
expenses. By identifying the factors that influence electric scooter adoption and EV purchase decisions, the  
industry and stakeholders can develop targeted interventions to overcome barriers and promote the widespread  
use of these eco-friendly vehicles. This, in turn, can contribute to a significant reduction in carbon emissions,  
improved air quality and long-term financial benefits for individuals and communities. Moreover, understanding  
the salient factors in shaping EV purchase decisions is crucial for tailoring educational campaigns and raising  
awareness among specific segments of the population. The study would provide valuable insights to  
policymakers, manufacturers and researchers to develop effective strategies and initiatives that foster the  
adoption of electric scooters and accelerate the transition to a sustainable transportation future. In this light, the  
study is considered significant.  
Scope of The Study  
The scope of this study is to examine the factors influencing the purchase decisions of electric scooter buyers  
and to evaluate their post-purchase satisfaction and future purchase. This study will collect data from 50 Electric  
Scooter users of Alappuzha. The study will explore various factors that impact consumers' decisions to purchase  
electric scooters, such as cost, range, charging infrastructure, design, and environmental concerns. It will also  
assess the satisfaction levels of electric scooter buyers by considering aspects like performance, reliability, ease  
of use, and overall ownership experience. The research will be conducted among a diverse sample of electric  
scooter owners, to gain a comprehensive understanding of the factors that drive purchase decisions and influence  
customer satisfaction.  
OBJECTIVES  
The study titled Electric Scooters: Investigating Purchase and Post Purchase Contentment Among Buyers has  
the following objectives,  
1. To determine the factors that influence the purchase decisions of buyers of Electric scooter  
2. To identify the challenges associated with owning an electric scooter  
3. To find out the post purchase satisfaction of buyers of Electric scooter.  
Hypothesis  
H0: There is no significant relationship between post purchase satisfaction and future purchase of electric scooter  
RESEARCH METHEDOLOGY  
The present study adopts a descriptive research design to analyze the usage patterns and preferences of electric  
scooter users in Alappuzha. The population of the study includes individuals who actively use electric scooters  
in this region. A convenience sampling method was employed to collect data, with a total sample size of 50  
respondents. Primary data were gathered directly from the users through a structured questionnaire, while  
secondary data were sourced from research journals, books, articles, and reliable websites to support the  
theoretical framework. The area of study is confined to Alappuzha. The collected data were tabulated, analyzed,  
and interpreted using statistical tools such as averages, percentages, and charts to derive meaningful insights and  
conclusions.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XI, November 2025  
REVIEW OF LITERATURE  
The existing literature on electric vehicles (EVs) highlights a multifaceted landscape shaped by technological,  
economic, and behavioral factors. A recurring theme across several studies is the presence of adoption barriers,  
especially in developing countries, where unclear policies, limited maintenance support, and socio-demographic  
factors such as education and income play a key role in influencing consumer decisions. Goel et al. (2021) and  
Rajper & Albrecht (2020) found that while vehicle pricing poses some challenge, policy clarity and support  
infrastructure are more critical for adoption. Studies by Shetty et al. (2020) and Westin et al. (2018) emphasized  
the influence of awareness, personal factors, and environmental beliefs on purchase behavior, showing that  
education and income levels are positively correlated with EV interest and usage. Furthermore, market  
segmentation strategies, as explored by Zarazua de Rubens (2019), revealed that price sensitivity and interest in  
features like vehicle-to-grid technology are pivotal in identifying near-term adopters.  
Technological innovation, particularly in battery and energy management systems, is another significant focus  
in EV research. Hossain Lipu et al. (2021) and Lu et al. (2013) highlighted the role of intelligent battery  
management systems (BMS) in ensuring safety, energy efficiency, and overall performance, while Sun et al.  
(2019) expanded on emerging EV technologies like advanced motors and charging infrastructure. These  
advancements are crucial for addressing issues like overcharging, overheating, and limited range. In parallel,  
environmental benefits and future market growth also drive interest in EVs. Rietmann et al. (2020) forecast that  
EVs could make up 30% of the global fleet by 2032, leading to significant CO₂ reduction—provided there is  
sustained investment in renewable energy infrastructure. Collectively, the literature underscores the need for  
integrated efforts across technology, policy, and consumer education to foster widespread EV adoption.  
The environmental, economic, and technological dimensions of electric vehicle (EV) adoption have been widely  
studied, with particular attention to electric scooters as a sustainable urban mobility solution. Rietmann et al.  
(2020) forecast that EVs could account for 30% of global passenger vehicles by 2032, significantly lowering  
CO₂ emissions if supported by renewable energy infrastructure. In developing regions, as noted by Liao et al.  
(2017) and Rajper & Albrecht (2020), high initial costs, limited infrastructure, and policy ambiguity remain  
major adoption barriers. Studies highlight that increasing environmental awareness, improving affordability, and  
aligning government policies with consumer interests are vital to accelerating EV integration. Research by  
Zarazua de Rubens (2019) reinforces the need for well-designed public awareness campaigns and targeted  
incentives that adapt to both economic realities and technological advancements.  
The evolution of electric scooters reflects this growing interest in cleaner transportation alternatives. From their  
early 20th-century inception to the recent boom driven by lithium-ion battery technology, electric scooters have  
transformed significantly. The 2010s and 2020s have seen rapid innovation—companies like Xiaomi, Gogoro,  
and Ather Energy have redefined design, range, and user experience. The rise of shared scooter services such as  
Lime and Bird has made them a fixture in urban landscapes, addressing last-mile connectivity while reducing  
traffic congestion. Technological advancements, including brushless DC motors, GPS, and smart features,  
continue to enhance efficiency and performance. Alongside government incentives and increasing public  
interest, electric scooters are now viewed not only as practical and eco-friendly transport options but also as vital  
components in the shift toward sustainable, connected cities.  
Table No. 1  
Factors Influencing Decision to Purchase an Electric Vehicle  
Factors  
Weighted Mean Score  
Vehicle Range  
Battery Life  
4.2  
4.36  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XI, November 2025  
Charging Infrastructure Availability  
4.12  
3.84  
3.58  
4.04  
4.22  
Purchase Price  
Government Incentives  
Brand Reputation  
Environmental Sustainability  
Source: Primary Data  
The interpretation of the data shows that among the various factors influencing the decision to purchase an  
electric vehicle, battery life is the most important to users, followed closely by environmental sustainability and  
vehicle range. This indicates that consumers value long-term usability and eco-friendliness. While factors like  
charging infrastructure and brand reputation are also important, purchase price and government incentives are  
relatively less significant. This suggests that buyers prioritize quality, performance, and environmental impact  
over initial cost and financial benefits.  
Table No. 2  
Level of Satisfaction of Factors Influencing Purchase Decision  
Factors  
Overall electric scooter performance  
Range  
Weighted Mean Score  
4.16  
4.1  
Charging infrastructure  
After sale service  
4.1  
4.12  
4.06  
4.16  
Maintenance cost  
Battery  
Source: Primary Data  
Levels of satisfaction regarding various factors are measured. Levels of satisfaction of the variables were  
analyzed using weighted mean score. The table shows how satisfied users are with different aspects of their  
electric scooters. The highest satisfaction scores are for overall performance and battery, both with a weighted  
mean score of 4.16, which means users are very happy with how the scooters perform and the battery quality.  
After-sale service, range, and charging infrastructure also received good satisfaction ratings, showing that users  
feel positive about these areas as well. Maintenance cost has the lowest score at 4.06, but this is still quite high,  
indicating that users are generally satisfied with the low maintenance costs.  
Hypothesis  
H0: There is no significant relationship between post purchase satisfaction and future purchase of electric scooter  
H1: There is a significant relationship between post purchase satisfaction and future purchase of electric scooter  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XI, November 2025  
Table No. 3  
Summary of multiple regression: Satisfaction and future purchase  
R
R Square  
Adjusted R  
Square  
Std Error of  
the estimate  
Durbin Watson  
.473  
.224  
.208  
.80415  
1.146  
Source: Primary Data  
Table No. 4  
ANOVA – Future purchase and satisfaction Sum of squares  
Source: Primary Data  
Table No. 5  
Coefficients- future purchase and satisfaction  
Source: Primary Data  
Regression model is used for testing the dependence of future purchase on post purchase satisfaction. Future  
purchase is considered as the dependent variable and satisfaction is taken as independent variable.  
The model summary table shows the coefficients of correlation (0.473) and coefficient of determination (0.224).  
These figures show that the variables under the study is correlated and 22.4% of the variation in the independent  
variable is explained by the variations in the dependent variable.  
The Durbin-Watson statistics is below the maximum permitted level of 2, indicating that there is no partial  
correlation. The ANOVA table shows the significance of the regression model proposed for the study. Since the  
significance value is lower than the benchmark of 0.05, it is evident that the model is significant. The coefficient  
table indicates the significance of independent variable and their extent of influence. The table clearly shows  
that the independent variable is significant and thereby influence future purchase.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIV, Issue XI, November 2025  
FINDINGS  
This project dives into electric scooter usage from three angles: finding out why people buy them, figuring out  
the problems they might face, and checking if they are happy after buying. The major finding of the study is as  
follows.  
a) Demographics and Awareness: The majority of electric scooter users are young (20–30 years) and male,  
with a high representation of degree holders. This indicates that younger, educated individuals are more likely  
to adopt electric scooters, likely due to greater environmental awareness and openness to new technology.  
b) Key Purchase Drivers: The main motivations for purchasing electric scooters include reduced fuel expenses  
(84%) and positive environmental impact (72%). Factors like battery life and environmental sustainability were  
rated as highly influential in the purchase decision, showing that users prioritize long-term value and eco-  
friendliness.  
c) Limited Role of Government Incentives: Only 26% of users considered government incentives a factor in  
their decision, likely due to the discontinuation of FAME 2 subsidies. This highlights the need for consistent and  
visible policy support to further encourage adoption.  
d) Infrastructure and Pricing Concerns: While most respondents occasionally or frequently use public  
charging stations, home charging remains a key priority for buyers. Additionally, users perceive a fair price range  
to be ₹80,000–₹1,40,000, with higher prices seen as unreasonable. Battery replacement cost emerged as a major  
ownership concern.  
e) Post-Purchase Satisfaction and Influence: A large majority (86%) are satisfied with the performance and  
battery of their electric scooter. Over half are willing to repurchase, and many are likely to recommend EV  
scooters to others. Satisfaction also plays a notable role in influencing future purchase decisions, with 25% of  
repeat purchases based on user experience.  
CONCLUSION  
In conclusion, this study provides valuable insights into the growing electric scooter market by examining the  
key factors influencing purchase decisions, user satisfaction, and future buying intentions. The research revealed  
that buyers are primarily motivated by environmental consciousness, fuel cost savings, and battery performance,  
with high satisfaction levels reported post-purchase. However, challenges such as battery replacement costs,  
limited charging infrastructure, and reduced government incentives continue to impact broader adoption.  
The findings highlight a strong potential for market growth, especially among younger and educated  
demographics. Users’ willingness to repurchase and recommend electric scooters underscores their long-term  
viability as a sustainable transportation solution. To build on this momentum, manufacturers and policymakers  
must work together to address existing barriers, improve infrastructure, and develop consumer-friendly policies.  
This will not only enhance user experience but also accelerate the transition to cleaner and more efficient urban  
mobility systems.  
Suggestions and Recommendations  
Government bodies and private players should invest in expanding both public and home charging  
facilities to improve convenience and reduce range anxiety, encouraging more users to adopt electric  
scooters.  
Since battery replacement cost is a major concern, manufacturers should introduce affordable battery  
maintenance plans, extended warranties, and battery-swapping options to reduce long-term ownership  
costs.  
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Authorities should reconsider the continuation or revival of subsidy schemes like FAME II to make  
electric scooters more financially accessible, especially for middle- and low-income groups.  
Educational initiatives highlighting the environmental and economic benefits of EVs should be targeted  
at various age and income groups to increase awareness and drive adoption, particularly among hesitant  
or older consumers.  
Manufacturers should regularly collect feedback from current users to refine product design, improve  
durability, and incorporate smart features that enhance performance, ensuring customer needs are met  
and satisfaction remains high.  
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