Abstract
The evolution of the technology standard alliance (TSA) is examined using complex adaptive system (CAS) theory. Taking TSA as a dynamic CAS, an echo model is constructed to depict the mechanism of its evolution, and a model is simulated on the NetLogo platform. The echo model includes a basic model, an extended model, and a three-layer echo model. The adhesive aggregation of agents is explained, and the three evolutionary stages of agents’ entry, migration, and exit are analyzed. Moreover, the adaptability of agents in TSA is quantified. The results of simulation show the evolution of the TSA in relation to the two aspects of agent adhesion aggregation and agent resource interaction, and they demonstrate the dynamic and complex hierarchical structure of the TSA system. It is proposed that greater matching ability, moderate behavior income, and lower behavior cost are more conducive to the evolution and development of TSA. Additionally, the echo model is reconstructed to expand the range of application of CAS theory.
Highlights
As science and technology have developed, technology standards have become a strategic command point for enterprise competition, and they affect enterprise behavior
Because a technology standard alliance (TSA) is enterprise-led, this paper focuses on characterizing the behavior of the enterprise agent on the basis of the echo model proposed by Holland and constructs an echo model suitable for a TSA system, including a basic echo model, an extended echo model, and a three-layer echo model
complex adaptive system (CAS) theory is used to study the evolution of the TSA system
Summary
As science and technology have developed, technology standards have become a strategic command point for enterprise competition, and they affect enterprise behavior. E present high degree of complexity of technology, the high risk and high cost of technological development, and the rapid shortening of the product life cycle restrict any single enterprise from providing all of the resources and technologies needed for R&D and the promotion of technology standards [5]. E theory of complex adaptive system (CAS) focuses on the interaction of major factors within the system, and it highlights overall global behavior through interaction and feedback between the local model and the global model [23]. The TSA is a new type of strategic alliance, and there has been little application of CAS theory to study of TSAs. In addition, insufficient attention has been paid to the number of agents in a TSA setup, and previous models do not reflect interaction between agents and the environment. We discuss and summarize the major managerial implications of our findings
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