| Recent information systems research has identified the main cause of performance gains to be the optimal flow of the knowledge generated by the system. Studies done in the USA show that the optimal flow of knowledge generated by the system is often achieved only after a lengthy and costly process of trial-and-error. Unfortunately, this approach can misuse precious time and assets, especially in small and medium size U.S. firms where organizations may have limited resources. A methodology that links the properties of knowledge generated by the system and features of the firm's knowledge network topology may predict performance, helping to quickly reach the optimal flow of knowledge.; This research argues that a company's capacity to improve its performance will depend on sound management of its available knowledge. Consequently, this study develops a research model (simulation) that links the properties of knowledge generated by the system and the features of a firm's knowledge network topology to predict performance. First, this research explores, captures, and represents the particular knowledge characteristics of the organization. Second, this study examines, captures, and expresses the peculiar features of the firm's knowledge network topology. Finally, this research incorporates these concepts into a new model to predict the impact that this relationship will have in the firm's ability to solve problems (performance).; In the pragmatic section, this research uses programming languages to develop simulations to conduct tests of the propositions developed in the model. The results would have important managerial and policy implications for small and medium size businesses. This study will provide a tool that may help decision makers of those types of organizations to effectively turn knowledge into actions by matching their firms' knowledge network topology to the particular properties of the knowledge that is going to be communicated. |
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