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Industry clusters have outperformed in economic development in most developing countries. The contributions of industrial clusters have been recognized as promotion of regional business and the alleviation of economic and social costs. It is no doubt globalization is rendering clusters in accelerating the competitiveness of economic activities. In accordance, many ideas and concepts involve in illustrating evolution tendency, stimulating the clusters development, meanwhile, avoiding industrial clusters recession. The term chaos theory is introduced to explain inherent relationship of features within industry clusters. A preferred life cycle approach is proposed for industrial cluster recessive theory analysis. Lyapunov exponents and Wolf model are presented for chaotic identification and examination. A case study of Tianjin, China has verified the model effectiveness. The investigations indicate that the approaches outperform in explaining chaos properties in industrial clusters, which demonstrates industrial clusters evolution, solves empirical issues and generates corresponding strategies.

The purpose of the paper is to analyze the dynamics between traditional and emerging new industries in converging industry environments. The paper identifies different convergence types and utilizes the framework to analyze the evolution of printed intelligence and RFID markets. The primary source of information is based on the main RFID industry players, patents, and 12 semistructured interviews conducted by the research group. The results reveal that the emerging industry is in the early stages of evolution where market dynamics are driven by complementary technological convergence and the previously distinct technological trajectories of industries have started to overlap. In parallel with convergence, a restructuring of industries is taking place in the near future.

Nowadays, the concept of business model is considered as a competitive advantage because of its impact on the challenges that companies face in a changing environment. Industry structure and competitive pressures are some of the external factors that play an important role in the evolution of business model innovation and determine the company’s performance. Previous research shows different results about the relationship between competition and innovation, so some researchers describe a negative relationship and others a positive relationship between these two variables. This study aims to investigate how industry evolution and competitive pressure affect the innovation intensity of a business model. Manufacturers from the pharmaceutical and food industries were selected to investigate the hypothesis. The research model was tested using structural equation modeling and partial least squares (PLS) method. The results show that innovation intensity differs among industries that undergo different evolution. Moreover, the results have shown a positive relationship between competitive pressure and innovation intensity.