Mobile app impulsive buying: A situational factors dataset analysis

Area of Science:

• Consumer Behavior
• E-commerce Analytics
• Psychology of Technology

Background:

• Impulsive buying behavior is prevalent in mobile commerce.
• Understanding situational influences is crucial for e-commerce strategies.
• Existing models often lack a comprehensive situational factor analysis for mobile app contexts.

Purpose of the Study:

• To empirically model situational factors affecting impulsive buying on mobile applications.
• To identify key drivers of impulsive purchasing within the mobile app environment.
• To provide a validated framework for understanding mobile commerce consumer psychology.

Main Methods:

• Online questionnaire survey distributed to active mobile app purchasers.
• Data collected from users meeting specific criteria (recent purchases, app usage).
• Statistical analysis using Structural Equation Modeling (SEM) to test the proposed empirical model.

Main Results:

• The empirical model identifies significant situational factors influencing impulsive buying.
• Physical and social environments, time perspective, and hedonic/utilitarian exploration are key drivers.
• SEM analysis confirmed the model's statistical fit and validity.

Conclusions:

• Situational factors significantly impact impulsive buying behavior in mobile apps.
• The validated model offers insights for e-commerce platforms to manage consumer purchasing decisions.
• Further research can explore specific factor interactions and cross-cultural differences.