Cloud Computing in Support of Supply Chain Information System Infrastructure: Understanding When to go to the Cloud
基于创新扩散理论和信息处理视角，通过实证研究发现业务流程复杂性、创业文化及现有系统的兼容性和功能显著影响企业采用云计算支持供应链运营的意愿。
Research suggests that there are other, more granular factors within the domain of innovation diffusion theory that influence the adoption of technological innovations. In this study, the circumstances that affect a firm's intention to adopt cloud computing technologies in support of its supply chain operations are investigated by considering tenets of classical diffusion theory as framed within the context of the information processing view. We posit that various aspects of an organization and its respective environment represent both information processing requirements and capacity, which influence the firm's desire to adopt certain information technology innovations. We conducted an empirical study using a survey method and regression analysis to examine our theoretical model. The results suggest that business process complexity, entrepreneurial culture and the degree to which existing information systems embody compatibility and application functionality significantly affect a firm's propensity to adopt cloud computing technologies. The findings support our theoretical development and suggest complementarities between innovation diffusion theory and the information processing view. We encourage other scholars to refine our model in future supply chain innovation diffusion research. The findings of this study might also be used by industry professionals to aid in making more informed adoption decisions in regard to cloud computing technologies in support of the supply chain.