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In recent years, consumers are finding it more convenient to use the technology based applications for online shopping and the other activities of their daily life.However, a limited amount of research has been done on artificial intelligence (AI) in online shopping apps and websites.The present paper examines the behavior intention of consumers to use AI enabled online shopping apps.The study is based on Technology Acceptance Model (TAM).In this quantitative research 232 responses were collected through online google form using convenience sampling.Structural Equation Modeling (SEM) using SEMinR package in R is used to analyze the data.It is found from this research that perceived ease of use impacts perceived usefulness and trust toward AI-enabled shopping apps and websites.Perceived usefulness significantly affect attitude.Trust positively impacts the perceived usefulness and attitude and attitude impacts behavior intention.
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Meena Vazirani (2024) studied this question.
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