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以技术接受模型(TAM)为基础,引入网络外部性理论的感知用户数量,结合物联网环境下交易类移动商务的自身特征,分析用户接受的影响因素,提出一个扩展的TAM模型。利用AMOS7.0对数据进行信度、效度分析,并采用结构方程模型对研究模型和假设进行实证分析。结果表明,交易类移动商务的用户感知有用性、感知易用性、感知技术成熟度、感知用户数量、感知风险、感知成本影响用户态度和使用意向。该模型对解释和预测物联网环境下交易类移动商务用户接受问题具有较好的实际意义。
Based on the technology acceptance model (TAM), this paper introduces the number of perceptual users based on network externality theory, and analyzes the influence factors of user acceptance based on the characteristics of transactional mobile commerce in IoT environment. An extended TAM model is proposed. The reliability and validity of the data were analyzed by AMOS7.0, and the structural model was used to empirically study the research models and assumptions. The results show that the users ’perceived usefulness, perceived ease of use, perceived technology maturity, number of perceived users, perceived risk and perceived cost of transactional mobile commerce affect users’ attitudes and intentions. The model has good practical significance for explaining and predicting the acceptance of transaction-based mobile commerce users in the Internet of Things.