LBEF RESEARCH JOURNAL OF SCIENCE, TECHNOLOGY AND MANAGEMENT

E-ISSN: 2705-4748
P-ISSN: 2705-4683
Vol5, Issue3 ( 2023)

IMPACT OF E-PAYMENT AND RECOMMENDATION SYSTEMS: A CASE STUDY IN E-COMMERCE PLATFORMS IN NEPAL

Author(s):Kshitiz Maharjan, Er Ajay Kumar Sharma
Abstract:The advancement in technology has helped mankind achieve innovation and improve the living standards. As the world is engulfed in mobile phones the use of internet and mobile applications have skyrocketed. E-commerce is a major application that is used by millions of people every day with their smart devices. The possibility of shopping of an item from the palm of one’s hand is convenient and enjoyable as well. This has led to the growth of e-commerce throughout the world as a major business platform. This study examines the adoption and usage of e-commerce platforms in Nepal, a country where traditional brick-and-mortar retail is the dominant mode of commerce. The research uses quantitative research methodology through online surveys to assess the readiness of e-payment infrastructure, focusing on factors like security, trust, and accessibility. It also examines the role of recommendation systems in enhancing user experience and increasing engagement on e-commerce platforms. The study analyzes the effectiveness of recommendation algorithms in providing personalized product suggestions and reducing information overload for Nepali consumers. The findings provide insights into the e-commerce landscape in the Kathmandu Valley, highlighting the challenges and opportunities for e-payment providers, businesses, and e-commerce platforms in a market transitioning to digital commerce. The study emphasizes the importance of tailored recommendation systems in addressing the unique needs and preferences of Nepali consumers. The findings offer valuable insights for businesses, policymakers, and e-commerce stakeholders seeking to navigate and thrive in the evolving landscape of Nepali e-commerce.
Keywords:E-commerce, Recommendation Systems, E-payment, Quantitative Research
Pages: 123-139
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