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August 23, 2025Journal of Informatics Education and ResearchOpen Access

Exploring The Antecedents Of Online Impulse Buying Behavior: A Structural Equation Modeling Approach

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Four factors—convenience, visual appeal, product variety, and payment options—significantly boost customer satisfaction.
Customer satisfaction enhances the likelihood of online impulse buying among consumers engaging with e-commerce platforms.
Analysis utilized structural equation modeling to evaluate data from 225 online buyers in Punjab, India, focusing on the SOR model.
Findings stress the need for e-commerce businesses to foster secure, user-friendly environments to drive impulse buying.

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Implication

Structural equation modeling highlights key factors influencing online impulse buying behavior in consumers, suggesting practical improvements for e-commerce.

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Sandeep Kapur Liza Shoor (2025) studied this question.

synapsesocial.com/papers/68af59d2ad7bf08b1eade069 https://doi.org/10.52783/jier.v5i3.3500

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Implication

Structural equation modeling highlights key factors influencing online impulse buying behavior in consumers, suggesting practical improvements for e-commerce.

Exploring The Antecedents Of Online Impulse Buying Behavior: A Structural Equation Modeling Approach

Key Points

Discussion

Implication

Cite This Study

Exploring The Antecedents Of Online Impulse Buying Behavior: A Structural Equation Modeling Approach

Key Points

Discussion

Implication

Cite This Study

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