E-COMMERCE REQUIREMENT ANALYSIS AND DESIGN WITH FOGG BEHAVIOR MODEL (FBM)

Authors

  • Fauziah Ahmad
  • Norjansalika Janom
  • Syafiyana Elysha Asmadi

DOI:

https://doi.org/10.24191/mjoc.v10i2.8500

Keywords:

Design, E-Commerce, Fogg Behavior Model, Persuasive and System Requirements

Abstract

This paper explores how the Fogg Behavior Model (FBM) can be used to design a more effective e-commerce platform. FBM focuses on three key factors that influence user behavior: motivation, ability, and triggers. Using Carro Empire, a small car accessories business in Malaysia, as a case study, the research identifies user needs through interviews and maps them to system features like 3D product views, easy navigation, and timely reminders. A working prototype was developed and reviewed by the business owner, showing that FBM helps create a more user-friendly and persuasive online shopping experience. For future work, the study recommends conducting user testing, such as surveys or A/B testing, to measure how FBM-based features impact customer behavior and improve the system further.

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Published

2025-10-23

How to Cite

Ahmad, F., Janom, N., & Asmadi, S. E. (2025). E-COMMERCE REQUIREMENT ANALYSIS AND DESIGN WITH FOGG BEHAVIOR MODEL (FBM). Malaysian Journal of Computing, 10(2), 2219–2233. https://doi.org/10.24191/mjoc.v10i2.8500