A Study on the Impact of Cybersecurity Threats on Consumer Trust in E-Commerce: A Case of Navi Mumbai
Abstract The rapid expansion of e-commerce has revolutionized the way consumers engage in online transactions. However, cybersecurity threats such as data breaches, phishing attacks, identity theft, and online fraud have significantly impacted consumer trust. This study investigates the relationship between cybersecurity threats and consumer trust in e-commerce within Navi Mumbai. The research aims to analyze consumer awareness, the impact of security breaches on purchasing decisions, and the effectiveness of security measures adopted by e-commerce platforms. The findings suggest that consumers in Navi Mumbai exhibit high concerns regarding cybersecurity threats, influencing their trust levels in online platforms. Recommendations are provided for enhancing security frameworks to improve consumer confidence in e-commerce transactions. The study also highlights that consumer in Navi Mumbai are increasingly aware of cybersecurity threats, privacy, with many actively seeking secure payment options and looking for trust signals like SSL certificates and secure payment gateways before making online purchases. While e-commerce platforms have implemented various security measures, such as multi-factor authentication and encryption, these efforts are often perceived as insufficient by some consumers. Moreover, the research identifies a direct correlation between the frequency of security breaches and a decline in consumer trust, which in turn affects sales and customer loyalty. It is recommended that e-commerce platforms invest in different advanced security technologies, provide transparent communication regarding their security protocols, and educate consumers about best practices for safe online shopping. Strengthening these areas could significantly boost consumer confidence and contribute to the long-term success of e-commerce businesses in Navi Mumbai.
Institutions
- Department of Commerce (AU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-28
- DOI
- https://doi.org/10.5281/zenodo.15294244
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00