Marketing and information systems research has a long history of studying the customer’s acceptance and adoption process of new technologies (Venkatesh et al., 2003). These studies are often motivated by the potential of new technologies such as smart home systems to improve our everyday life. To benefit from these technologies, individuals have to accept them in the first place. To better understand the acceptance process, scholars regularly employ various theories in their studies such as technology acceptance model (Davis, 1989), innovation diffusion theory (Rogers 2003), and perceived risk theory (Featherman and Pavlou, 2003). Although each of these theories provides valuable insights, only recently scholars started combining them in larger framework and examining their interrelationships. These studies argue that each theory has the potential to make a unique contribution to understanding of technology acceptance, but the combination of theories leads to novel insights. The purpose of this study is the development of a comprehensive adoption model combining constructs from various theories and testing these theories against each other to provide new insights. The study develops this model in a smart home applications context which is a complex technological system. The study is based on an online survey consisting of 409 participants; the data is analyzed using structural equation modelling.