Ismail, Siti Aishah (2023) An effective, secure, reliable and customer satisfaction via online shopping platform, a fundamental study. Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)
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Abstract
In the era of globalization, Malaysia is entering Industry 4.0 or known as Fourth Industrial Revolution which is focusing on digital transformation. Furthermore, Artificial Intelligence (AI) is a current trend in today markets and gives so many opportunities in different fields. However, AI has been picking up the speed in online retail space in order to deliver more personalized experiences for online shoppers. Therefore, a few online shoppers are not aware of implementation of AI in e-commerce Malaysia. Hence, the aim of this research is to study about an effective, secure, reliable and customer satisfaction via online shopping platform a fundamental study. This study had been mainly adopted from Technology Acceptance Model (TAM) and the independent variables are effective, secure, reliable and customer satisfaction. Besides that, quantitative research method has been collected through the questionnaire. According to Krejcie and Morgan table, a total of 103 respondents who stay at Melaka was selected by using simple random sampling in order to answer the questionnaire. Statistical Package for Social Science (SPSS) version 26 was used by researcher to analyse the collected data. The data analysis techniques used in this research were descriptive analysis, Pearson correlation analysis, and regression analysis in order to describe the variables numerically and determine the relationship between independent variables and the dependent variable.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Artificial intelligence (AI), Customer shopping experience, E-commerce, Malaysia, Tam, Melaka |
Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HF Commerce |
Divisions: | Library > Final Year Project > FPTT |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 22 Nov 2023 07:20 |
Last Modified: | 11 Dec 2024 03:18 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/31040 |
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