Models of cuber security and data privacy analysis for Indian consumer's e-commerce decision making /
Title
Models of cuber security and data privacy analysis for Indian consumer's e-commerce decision making /
Subject
Communication
Description
Patent Number: 202211043969, Applicant: Priyanka Kaushik.
Even though it is clear that e-commerce meets the requirements of customers, businesses and the clients they serve continue to be susceptible to cyberattacks, which may already be in progress against them. In this study, a comprehension of the antecedent elements that generate concerns among Indian consumers while using ecommerce websites is presented. It seeks to quantify the perceived hazards and data privacy issues that influence an individual's approach to making a risk-informed purchasing decision. The sake of this investigation, a quantitative method of approach has been used.
Even though it is clear that e-commerce meets the requirements of customers, businesses and the clients they serve continue to be susceptible to cyberattacks, which may already be in progress against them. In this study, a comprehension of the antecedent elements that generate concerns among Indian consumers while using ecommerce websites is presented. It seeks to quantify the perceived hazards and data privacy issues that influence an individual's approach to making a risk-informed purchasing decision. The sake of this investigation, a quantitative method of approach has been used.
Creator
Sinha, Mudita.
Publisher
Intellectual Property India
Date
2022
Language
English
Type
Patent
Collection
Citation
Sinha, Mudita., “Models of cuber security and data privacy analysis for Indian consumer's e-commerce decision making /,” CHRIST (Deemed To Be University) Institutional Repository, accessed September 8, 2024, https://archives.christuniversity.in/items/show/2749.