Contribution to Nonparametric Inference in Regression and Other Linear Models in FMCG Market in Nepal

Ramesh Prasad Tharu; Dr. Rajendra Kumar Tripathi

Abstract

The goal of this study is to find out how Nepalese consumers think about online shopping, the obstacles they face, and how managers in Kathmandu, Nepal, deal with online shopping. The descriptive research design was used to describe how customers felt about purchasing goods online. The people who live in the Kathmandu valley and have ever purchased anything from an online platform and are primarily active on their mobile phones were the focus of the study. Using the KOBO Collect Toolbox and a structured questionnaire, a total of 403 respondents were interviewed using purposive sampling. According to the findings of this study, 66.0% of respondents believe that online shopping presents a variety of difficulties. The most common obstacle encountered while shopping online, according to the majority of respondents (41.6%), is products that do not match what is displayed on the website. In a similar vein, respondents identified a number of obstacles, including the inability to distinguish between online application sites (32.12%), timely product delivery (10.95%), hidden costs (8.75%), and lengthy procedures (6.57%). According to 86.05 percent of respondents, mobile application-based online shopping issues can be addressed. Selling high-quality goods and services, the safe payment system through a mobile application, strict rules and regulations on online shopping, the online shopping environment, managing delivery time, and receiving damaged products at the end of the day can promote online shopping among customers, according to respondents (43.56 percent). Selling high-quality products that satisfy the needs of customers can solve most of the problems related to online shopping through mobile applications. The promotion of the Nepali market for online shopping may benefit from sellers' upbeat attitudes and actions.

Keywords

Nepal, Market, Population, Data Analysis.

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Cites this article as

[Ramesh Prasad Tharu, Dr. Rajendra Kumar Tripathi (2021), Contribution to Nonparametric Inference in Regression and Other Linear Models in FMCG Market in Nepal, International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-8, Issue-5, Page No-55-61], (ISSN 2347 - 5552). www.ijirem.org