A Genetic Algorithm-based Data Mining Approach to Profiling the Adopters and Non-Adopters of E-Purchasing.

With the proliferation of the electronic commerce e-purchasing has become a daily practice for many purchasing organizations. To embrace e-purchasing successfully, these organizations should identify determinants that are crucial for its successful adoption. In an effort to identify such determinants, including organizational readiness, information technology infrastructure, and user characteristics, we propose a novel genetic algorithm-based data mining technique. The application of the proposed data mining technique to empirical data that were collected through a mail survey proves to be useful for extracting hidden, but valuable insights into the successful implementation of e-purchasing.