The Influence of Perceived Interactivity and Visual Appeal on Impulse Buying in Beauty Home Services: The Mediating Role of Perceived Enjoyment and A Multi-Group Analysis (MGA) Approach

Authors

  • Shellda Lestari Universitas Bunda Mulia
  • Antonius Felix Universitas Bunda Mulia

DOI:

https://doi.org/10.35870/ijmsit.v6i2.7698

Keywords:

Perceived Interactivity, Visual Appeal, Impulse Buying, Perceived Enjoyment, Multi-Group Analysis (MGA)

Abstract

This study aims to examine the relationship between perceived interactivity and visual aesthetics regarding impulse buying, with perceived enjoyment acting as a moderator in the context of beauty home services, and to analyze differences in consumer behavior based on the period of usage (≤ 2 years vs > 2 years). Grounded in the Stimulus-Organism-Response (S-O-R) theory, this explanatory quantitative study employed purposive sampling to collect data from 233 respondents in the Jabodetabek area. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4 software. Structural analysis revealed no significant difference in path coefficients between the two groups new users (≤ 2 years) and experienced users (> 2 years). This indicates that, when using the service, both new and long-term users consistently exhibit the same effects, regardless of the duration of their experience.

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Author Biographies

  • Shellda Lestari, Universitas Bunda Mulia

    Digital Business Study Program, Faculty of Social Sciences and Humanities, Universitas Bunda Mulia, North Jakarta, Special Capital Region of Jakarta, Indonesia

  • Antonius Felix, Universitas Bunda Mulia

    Digital Business Study Program, Faculty of Social Sciences and Humanities, Universitas Bunda Mulia, North Jakarta, Special Capital Region of Jakarta, Indonesia

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Published

2026-07-16

How to Cite

Lestari, S., & Felix, A. (2026). The Influence of Perceived Interactivity and Visual Appeal on Impulse Buying in Beauty Home Services: The Mediating Role of Perceived Enjoyment and A Multi-Group Analysis (MGA) Approach. International Journal of Management Science and Information Technology, 6(2), 1205-1212. https://doi.org/10.35870/ijmsit.v6i2.7698