The Adoption of Artificial Intelligence in the E-Commerce Trade of Healthcare Industry

The increasing digital and emerging technologies have changed the value creation of traditional industrial chain to a great extent, and also affected the transaction mode between enterprises. The combination of AI and B2B supply chain has been accepted and adopted by medical field to improve supply-chain efficiency as well as automated e-procurement, or electronic B2B (business-to-business) trade, resulting in significant financial benefits for firms. However, although the e-commerce model of health care industry has brought significant benefits to enterprises and customers, the B2B industry supply chain system of health care industry does not use artificial intelligence as other fields, such as B2C medical field. In our research, intention to adoption an innovation is driven by many factors including transparency of the data, cost pressure, relative advantages, legal regulation. Therefore, one of the contributions of this paper is to fill the gap in the adoption of toe framework related literature in the field of B2B medical model. We also use ‘technology-push’ (TP) and ‘need-pull’ (NP) concepts to examine the potential factors that impact the adoption of artificial intelligence in healthcare industry. How we tackle issues from AI intention to implementation will be probably have great impacts for the future practice of AI in B2B industry.