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Application of Morgan and Krejcie & Chi-Square Test with Operational Errands Approach for Measuring Customers’ Attitude & Perceived Risks Towards Online Buying
- Source :
- International Journal of Intelligent Systems and Applications in Engineering; Vol. 11 No. 3s (2023); 280-285
- Publication Year :
- 2023
- Publisher :
- International Journal of Intelligent Systems and Applications in Engineering, 2023.
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Abstract
- This research aims to analyze the impact of consumers’ perceived risks in Operational Errands, for this we uses morgen and krejcie test formula for infinite sample size and to get the more effective results we uses chi-square formula. In current era, Consumers may purchase services or goods directly from a vendor using an Internet web browser. It’s fascinating to analyse the mechanism of online carting. If the consumer chooses to buy an item, he may add it to the online cart by pressing the “send” button. When purchasing an item via online websites, a buyer desires to remain in his comfort zone. In its early phases, it was a simple approach to purchasing with few possibilities. Users may simply make an order and pay for it with COD. However, in recent years, this sector has undergone extensive renovations, which has attracted the interest of many clients. Online, there are numerous inexpensive. The reason for this is that there is no intermediary involved. The item is sent straight from the producer. The current study’s research goal contains exploration of the perceived risks in consumers online carting. For this, primary as well as secondary data are gathered. The data for this research was gathered utilizing a research tool called an applied questionnaire. The research uses a basic random sampling approach and is descriptive.
- Subjects :
- chi-square
Operational
morgen and krejcie test
Perceived risks
sample size
Subjects
Details
- Language :
- English
- ISSN :
- 21476799
- Database :
- OpenAIRE
- Journal :
- International Journal of Intelligent Systems and Applications in Engineering
- Accession number :
- edsair.issn21476799..336edca011674bf417c004f2ccf04bcd