This paper (work in progress) investigates how the individual’s concern for information privacy affects the adoption of biometric technologies. Biometrics refers to the automated authentication of an individual based on his/her distinguishing characteristics (Bolle et al. 2004). Given the very personal nature of biometric technologies, their adoption may be inhibited by individual’s concern for information privacy. This research develops a model of biometrics adoption that integrates information privacy and TAM. This model aims to assist researchers and practitioners in understanding the factors that affect biometrics adoption. To examine the effects of TAM and privacy on intentions to use biometric technology, a pretested instrument will be administered to medical personnel who use finger scanning equipment to retrieve drugs in a hospital.