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Open service access (OSA) is a flexible and efficient approach for mobile service deployment. In OSA, network functionality offered to application servers (ASs) is defined by a set of service capability features (SCFs). The AS implements services by accessing the service capability through the standardized OSA application programming interface.

The paper shows how the AS provides services by integrating the services supported by the SCFs. Then it uses the OSA mutual authentication and the push to talk over cellular service to illustrate the interaction among the AS modules and how the AS interacts with the framework and the SCFs.

With this environment, the service developers are not required to access the details of the underlying mobile network, and thus the service deployment can be sped up. The purpose of this paper is to propose an AS architecture.

This paper proposed an OSA AS architecture. Based on this architecture, a new application is created by implementing the appLogic module that invokes the SCFs through the appService modules and appService callback modules.

The purpose of this paper is to investigate knowledge sharing (KS) to characterize its behavior in companies based on the concepts of theory of reasoned action and game theory (GT).

The paper proposes two models: Model A: KS process is constructed by capturing personal psychological feelings; and Model B: KS process is not only constructed by personal psychological feelings but also takes into consideration other people's decisions. By comparing the two knowledge‐sharing models' predictability performance, the authors are able to characterize the process of KS.

The results show that different companies require different models. On average, Model B with game concept has lower predictive accuracy than the Model A without game concept.

The paper provides practical implications for manager to frame effective KS policies and also suggests future studies to improve measurement.

The values of this paper are: provide a methodology to determine whether individuals analyze decisions of others in making KS decisions; test the predictive ability of GT analysis in a KS modeling, and build a single‐instance two‐person game to characterize individuals' tacit KS behavior.