Global public health events are an example of worldwide events that not only affect the safety of human beings but can have a significant effect on the global economy as well as production. When large-scale control measures are required, this can cause damage to many industries, such as tourism, accommodation, catering, and entertainment. Under unforeseen circumstances, it can be difficult for small and medium-sized enterprises to perform routine operating activities, for instance, the cash recovery of these companies has serious problems, maintenance expenses can increase, and capital turnover can be tight. In addition to shrinking customer bases and financial crises, the time and space of original business environments can drastically change, and firms can be forced to suspend or even fail to start operations, resulting in the failure of the company's existing business model or reduced efficiency.

The uncertainty of the global environment will affect the sustainability of business models and then cause great uncertainty in the long run among companies, which finally will seriously influence the survival and development of enterprises. In fact, many companies have recently successfully designed a variety of emerging business models, such as contactless express delivery and online offices. Only enterprises that embrace these new strategies can operate smoothly. To begin with, they not only need to actively use mobile internet platforms for cross-border collaboration, but also must take full advantage of scientific methods to evaluate and analyze and then update, optimize, and innovate their original business model. The ability to operate smoothly will bring continuous competitive advantages to the enterprise, and ultimately achieve commercial success, and even promote the efficiency of the entire industry.

The purpose of this Special Issue is to discuss how companies identify problems in business operations through data analysis, and what methods they use to optimize business models and improve their efficiency.

Potential topics include but are not limited to the following:

• Innovation and optimization of business models
• Optimization of production process performance
• Data mining and digital management in business operations
• Transformation and upgrading of value chain status in business operations
• Optimization of forecasting models of business operation status
• Optimization of the production process or business performance under multiple constraints
• Performance optimization of each subset between blockchains
• Prediction of corporate financial status and crisis prevention
• Application and comparative analysis of business decision model
• Performance evaluation and strategic choice of corporate business model efficiency
• Analysis of influencing factors and effects of corporate business model efficiency
• Discussion on problems in different production stages and performance optimization
• Research on other issues related to business operation performance and model optimization