In the complex environment of the IoT (Internet of Things), the amount of information available is enormous and the number of users also increases at a blistering pace. With a huge number of users, e-commerce marketing strategies in the IoT become extremely important and must be altered accordingly in response to changes in the environment and industry. Hence, the application of IoT technology to mobile commerce allows users to receive integrated information according to time, location, and context using location-based service, and provides them with a more effective shopping experience. The validation results show that external variables indirectly influence behavioral intention through perceived usefulness. The investigation of behavioral intention is used to understand users’ acceptance and using willingness of the store app, which can help narrow the gap between stores and consumers, and help improve operations.

The Internet of Things (IoT) is a technology paradigm that provides a global network of services through a wide variety of smart devices. In order to provide a high flexible and reliable platform of IoT, an IoT platform that integrated fog and cloud computing (IFCIoT) is considered in this paper. In the IFCIoT platform, fault tolerance is an important issue. In order to deal with the impact of a failed component before performing certain special tasks, it is worth paying attention to reach a common agreement in the event of a failure. However, most previous protocols for the agreement problem of distributed computing are not suitable for the IFCIoT platform. The protocol proposed by this paper can achieve agreement among all fault-free nodes with the minimal rounds of message exchanges and tolerate the maximum number of dormant and malicious faulty components in the IFCIoT platform. The theoretical proof of the complexity and the correctness is illustrated.