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

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.