The Evaluation of Intelligent Agent in the B2C E-Commerce
Wen‐Yau Liang, Yin-Chen Lin, Juo-tzu Tseng · 2011
The increasing demand for sophisticated software that comprises of collaborative, yet autonomous, units to regulate, control and organize all distributed activities involved in the company processes, has oriented AI researchers towards the employment of Agent Technology (AT) in a variety of disciplines. An agent can be seen as a software and/or hardware component of system which is capable of acting exactingly in order to accomplish tasks on behalf of its user. However, intelligent agent is still quite a new technology and researches in this area primarily focus on developing technologies in agent systems itself, and research works which evaluate the intelligent agent performance are few and far between. This research applies intelligent agent to B2C e-Commerce negotiation. An experimental design is then used to collect experiment data and a questionnaire is conducted to investigate the benefits of intelligent agent systems. Results show that intelligent systems do improve performance of negotiation system, in both experiment and questionnaire analysis.