Dynamics Process of Innovation Diffusion Model: ActorNetwork Theory Approach

Abstract

Previous information systems studies focused on studying the receptivity of people towards innovation acceptance using variables borrowed from the psychology theories that focus on behavioral determinants. There is a lack of research that utilized the informational determinants which may induce the individuals’ receptivity to accept innovations when introduced by inventors. This paper develops a logical model of innovation process based on modeling the principles of user informational-based readiness factors namely Exposure, Awareness, Experience, and Knowledge. It is a step to establish an approach for understanding the adoption and diffusion process of innovations by individuals. This approach must be apart from using the behavioral, psychological which is currently led by most information systems theories. The researcher in this study synthesized the existing literature review of the proposed informational instrument which forms the Users Information-Based Readiness (UIBR). The research used a modeling technique called Unified Modeling Language (UML) tools mainly the use case and Data Follow Diagram (DFD). The logical process model for innovation diffusion created to represent the input data follow and output data follow to each process in the innovation diffusion. The main findings of the paper include the development of a model of user informational preparedness for innovation acceptance. The developed model divided the identified informational readiness into four phases of hierarchies showing their interrelationship and depicting the processes-dependence relationship. These four phases categorized into four sequential processes, namely Exposure, Awareness, Experience, and Knowledge. The developed model is expected to provide the right direction for understanding the technology adoption process. Also, it helps the innovator, inventor, government, industry and the decision-maker to leverage their resources and time to design the strategy for innovation diffusion and implementation successfully