Development of Tourism for Culture and Innovation Based on Convergence of Data in the Perspective of Industrial Integration

Abstract

The blurring of industry lines, or the phenomenon of new products or industries crossing over, is becoming more common. Academic circles have taken notice of this phenomenon, and the term “industrial integration” has been coined to describe the shift in interindustry relations. It can not only meet the demand of urban residents to return to nature and tradition with the connotation of rural ecology, agricultural production, and farmer’s life in tourism for culture and innovation, as well as the expression of tourism activities. However, traditional tourism, which is primarily based on sightseeing, is no longer able to meet the demands of customers. People are increasingly interested in interactive, creative, experiential, and diverse tourism, and tourism destinations and services are increasingly valued for their cultural connotation and unique creativity. The basic idea behind data convergence as a data processing method is to make extensive use of data from all aspects of the system in order to extract the most effective information about the object or environment, resulting in a more precise and comprehensive understanding of the observed object or environment. As a result, this paper uses convergence of the data method based on a large amount of empirical research experience to study the driving factors, paths, and patterns of the fusion of commercial and innovative businesses with the tourism industry. It is based on industrial fusion theory and value chain theory and uses convergence of the data method based on a large amount of empirical research experience to study the driving factors, paths, and patterns of the fusion of commercial and innovative businesses with the tourism industry. The experimental results show that the global adjustment algorithm improves the model (i.e., the evidence) without changing the fusion formula. The fusion results improved by 0.595 on average when compared to the D-S algorithm, and the probability rapidly increased. As a result, the study of tourism for cultural and innovation development based on data convergence summarises the interaction between subsystems with logical thinking and depicts the process and direction of tourism creative industry fusion development in a more image and concrete manner.