Impact On Online Purchasing Behavior: The Influence Of Artificial Intelligence

Abstract

The study you described focuses on assessing the influence of Artificial Intelligence (AI) on online buying behavior among consumers. Here's a breakdown of the key findings and methodologies used: The data were collected through structured questionnaires from an equal number of male and female respondents. This approach ensures gender balance in the sample, allowing for more reliable results and minimizing bias in the analysis. The study formulated hypotheses to test the relationship between various factors, such as gender, educational level, time spent on the internet, and awareness of AI's impact on online shopping behavior. The study utilized statistical techniques such as correlation analysis and Yule's coefficient of association to analyze the data and test the formulated hypotheses. These statistical methods help in identifying patterns, relationships, and associations between different variables in the study. No Significant Association between Gender and AI Awareness: The study found that there is no significant association between gender and awareness of AI's impact on online shopping. This suggests that both male and female respondents have similar levels of awareness regarding AI's influence on their online buying behavior.

Introduction: The study revealed a significant association between educational level and the influence of AI on online shopping. This implies that consumers with higher levels of education may be more cognizant of AI's role in online shopping behavior compared to those with lower educational attainment. Significant Association with Time Spent on the Internet: The study also found a significant association between the amount of time spent on the internet and the influence of AI on online shopping. This suggests that individuals who spend more time online may be more exposed to AI-driven features and services, leading to a greater impact on their purchasing behavior. Overall, the findings highlight the importance of educational background and internet usage patterns in shaping consumers' awareness and perception of AI's influence on online buying behavior. These insights can inform marketing strategies and the development of AI-driven features to better cater to consumer preferences and enhance the online shopping experience.