Knowledge Network Evolution of Smokers, Adaptive Behaviors and Enhancement of Knowledge Capability

Abstract

With the evolution of knowledge networks of smokers, we analyzed how adaptive behaviors affect the enhancement of the knowledge capability of their organization. Methods: Through the empirical analysis of 228 questionnaire data from smoker-dense zone, this paper conducts a regression analysis between the implementation of different behaviors and the capability improvement, in the context of knowledge flow evolution. Results: Conclusions show that different behavioral decisions of knowledge subjects have different influences on their knowledge capability, and the routine behaviors have a significant negative impact on their knowledge capability, while the imitative behavior and innovative behavior have a significant positive impact on the improvement of knowledge capability. These effects are also affected by the regulatory effects of the three stages of knowledge flow. Conclusion: In different stages of the functional evolution of the knowledge network of smokers, different behavioral decisions of knowledge subjects will promote or restrict their own knowledge capabilities. Based on the knowledge growth expectation, knowledge subjects can adopt different behavior strategies to achieve dynamic environment adaptation and gain competitive advantage.