Prior research on information technology (IT) adoption has mostly examined adoption of independent individual or organizational IT such as spreadsheets, electronic mails, and relational databases, with little attention to the adoption of IT platforms such as Java2, Apple iPhone, or Google Andriod. IT platforms are general purpose technologies that can be used to family of applications to perform specific individual or organizational tasks. Adoption of such platforms are different from the adoption of independent IT in that the former require substantial upfront knowledge investments and the potential benefits from such adoption depends on network externalities that are generally unknown in advance. For these reasons, traditional IT adoption research based on innovation diffusion theory can provide only limited explanation of the adoption of technology platforms, and should be augmented with network externality and knowledge barrier perspectives. This research employs an interpretive research approach to examine these and other reasons that can explain IT platform adoption. We interview application developers regarding their choice of Apple iPhone and Google Andriod platforms, code their responses using open, axial, and selective coding, and use our findings to postulate a theoretical model of IT platform adoption.
목차
Abstract Motivation Methods Data Collection Data Analysis Findings Limitations Conclusion References