An algorithm for identifying loyal customers in C2C electronic commerce models

Abstract

Today, the use of the internet for commercial transactions and sales has dramatically increased. E-commerce has different models including the consumer-to-consumer (C2C) model. The purpose of this study is to identify the factors influencing Iranian users' intentions when buying from C2C websites. The research model was developed based on the factors affecting the trust between members of C2C websites and other factors impacting consumer buying behaviour. The data was collected from the users of two C2C websites in Iran. The research method was quantitative and data collection was performed using questionnaire. The collected data was analysed through structural equation modelling. The relationships between the variables in the research model including familiarity with other members, perceived similarity with other members, perception of structural assurances, trust propensity, trust in members, trust in website, intention to get information, and purchase intention from C2C website were tested using structural equation modelling technique. In the end, based on hypothesis testing results, important recommendations were suggested for better design and management of C2C websites. Copyright © 2020 Inderscience Enterprises Ltd.