Increment of Heterogeneous Knowledge in Enterprise Innovation Ecosystem: An Agent‐Based Simulation Framework

Abstract

How can enterprises acquire knowledge resources quickly to maintain a competitive advantage in the market has become the focus of attention among academic circles and enterprises in the era of the knowledge economy. Based on the ecology theory, this paper analyzed the characteristics of the innovation subject and the rules of the heterogeneous knowledge interaction between innovation subjects. Then, this paper proposed a multiagent-based model of EIE (enterprise innovation ecosystem) heterogeneous knowledge increment to simulate the interactions between innovation subjects. By combining the biotic factors (government and service institutions) and abiotic factors (economical, social, and cultural), this paper designs eight different innovation environment scenarios to explore the dynamic impacts of these factors on EIE heterogeneous knowledge increment. The research findings were as follows: (1) In the introduction stage of innovation collaboration between innovation subjects, the same investment of the innovation elements in academic institutes is more beneficial to increasing system heterogeneous knowledge than investment in enterprises. (2) The cultivation of innovative biotic factors in service institutions is conducive to the rapid interaction of heterogeneous knowledge among the innovation subjects. Still, it is not suitable for areas with higher homogeneous knowledge because high homogeneous environment can easily lead to intensified market competition. (3) The cultivation of the abiotic innovation environment is conducive to maintain stable high-speed growth of EIE heterogeneous knowledge increment over a long period. (4) Without considering the cost of environmental cultivation, cultivating biotic and abiotic environments at the same time is the most beneficial choice to EIE heterogeneous knowledge increment.

Big Data Model of Digital Employees of High-Tech Enterprises under the Background of Digital Transformation

“…For example, companies can rely on the company's procurement channels, distribution systems, and terminal network advantages and use digital technology to eliminate information between upstream and downstream enterprises in the supply chain. Asymmetric tangerine is innovating the supply chain service model and improving the circulation efficiency of the supply chain; on the other hand, it extensively collects and stores consumer group information and conducts in-depth analysis to form 8 Scientific Programming customer portraits and implement precise marketing, thereby improving labor production efficiency, reducing operating costs, management costs, and investment costs, and improving enterprise performance and sustainable competitiveness, based on long-term development [22][23][24][25][26][27][28]. Finally, strengthen government governance, and distribute government subsidies in a reasonable and targeted manner.…”

Temporal and Spatial Evolution of Coupling Coordination Degree of Industrial Innovation Ecosystem—From the Perspective of Green Transformation

“…The evaluation index system of innovation ecosystem is constructed to discuss the relationship among the four subsystems of operation, R&D, support and environment in the innovation ecosystem from the dynamic perspective of innovation activities [16]. On the other hand, relevant scholars have studied the internal synergy of innovation ecosystem, and the relevant research focuses on the impact of the synergy between innovation elements on the development and innovation performance of innovation ecosystem: Innovation subject [17][18][19], innovation subject and innovation environment [20,21] would promote the formation of network structure of innovation ecosystem through collaborative evolution, symbiosis and cooperation; The allocation of talents would weaken the collaborative process between the innovation subject and the innovation environment, symbiosis and coordination with the innovation ecosystem, and improve the system structure and function [22]. Recently, the synergy among the elements of innovation subject, innovation resources and innovation environment [23], the collaborative transformation of knowledge innovation and technology and the excellent spatial operation of the collaborative transformation field [24,25] will improve the transformation of innovation technology standards and positively drive innovation performance.…”