To understand the behavior of smartphone online application software will be helpful to predict whether the software application would be adopted by the users and to guide the providers to enhance the functions of the software. A wide range of criteria are used to assess smartphone software quality, but most of these criteria have interdependent or interactive characteristics, which can make it difficult to effectively analyze and improve smartphone use intention. The purpose of this study is to address this issue using a hybrid MCDM (multiple criteria decision-making) approach that includes the DEMATEL (decision-making trial and evaluation laboratory), DANP (the DEMATEL-based analytic network process) methods to achieve an optimal solution. By exploring the influential interrelationships between criteria related to mobile communication industry's and related value-added service content providers' reference in the respect of operation. This approach can be used to solve interdependence and feedback problems, allowing for greater satisfaction of the actual needs of mobile communication industries.