A generic system embodies basic principles and insights that are common to a set of diverse cases and situations. For example, a generic system called "limits to growth" captures the constraints experienced by an organization due to the scarcity of an important resource. Its manifestations range from the tragedy of Easter Island to rise and decline of People Express Airline to the spotty performance of early peer-to-peer music networks. This paper presents a new generic system that we name the dynastic cycle system. It is based on a stylized model of events from the Chinese history. It describes resource allocation between social, asocial and control uses in a variety of institutions, including political economies, markets and firms that experience cyclical behavior and homeostasis symbolizing low levels of performance. Numerical simulations with the model are used to test several policy scenarios.
This article proposes a conceptual framework for dissent dynamics in organizations. We integrate the dissent expression and management framework of Kassing with the dynamic institution composition structure of Saeed and Pavlov to construct a generic model for understanding organizational dissent. Our model hypothesizes the impact of dissent accumulation on organizational dissent climate, composition, and performance. Two performance measures comprise the performance grid to describe the current state of an organization and its dissent management policies—perceived management responsiveness and organizational productivity. We argue that dissent expression, tolerance, and management policies affect whether an organization is high or low performing. The conceptual model provides a future platform for experimentation and learning by simulating different policy scenarios and their influence on the paths of change and the new homeostasis eventually achieved by the organization.
In this paper we investigate the effects of network topologies on asset price dynamics. We introduce network communications into a simple asset pricing model with heterogeneous beliefs. The agents may switch between several belief types according to their performance. The performance information is available to the agents only locally through their own experience and the experience of other agents directly connected to them. We model the communications with four commonly considered network topologies: a fully connected network, a regular lattice, a small world, and a random graph. The results show that the network topologies influences asset price dynamics in terms of the regions of stability, amplitudes of fluctuations and statistical properties.
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