Faculty of Computing, Health and Science
School of Computer and Information Science
The idea that social networks play an important role in knowledge diffusion of innovation has a long pedigree in innovation theory. In his Diffusion of Innovation (DOI) theory, Rogers (1995) argued that in the information network of the organization, managerial champions and opinion leaders could affect both organizational acceptance and also the velocity of adoption of innovation. In Small to Medium Enterprise (SME) C-commerce innovation, the role of such social factors has been understood in terms of ‘embedded network structure’ (Braun, 2003) that impacts on clustering behavior. This article explores the use of quantitative Social Network Analysis (SNA) to model the nature and consequences of relations based on trust in a Small to Medium Size Tourism Enterprise (SMTE) C-commerce innovation case study context.