In the current study, a depth evaluation for the strategic cost management (SCM) based on Internet of things (IoT) enterprises is performed. The SCM is analyzed under the umbrella of replication environment and financial digitization. Our proposed method of evaluation consists of the replication technology, the relationship between corporate finance, corporate performance, and SCM. However, in the second stage, we considered Xiaomi Corporation (Xiaomi), an IoT enterprise, as our hypothesis and benchmark model to analyze the existing issues related to cost management. Finally, the strategy and effect of Xiaomi’s SCM based on the value chain are thoroughly investigated and an in-depth insight has been provided. Moreover, our results show that the SCM of Xiaomi based on the value chain has achieved optimum results, such as reducing the total cost per unit product and increasing the market share. However, a few issues still need improvements, such as insufficient innovation ability, the incomplete scope of cost management, and a small amount of patent authorization. This article is conducive to enterprises for better strategic planning and to improve cost management efficiency. Moreover, it provides a reference basis for the cost management problems faced by other IoT enterprises.

The purpose is to study the effective risk management mode in the process of transnational cooperation of enterprises under the background of international policy and optimize the international cooperation strategy of enterprises. Firstly, the current situation of cross-cultural enterprise management models is compared and explored. Secondly, the advantage of efficient task offloading of edge cloud computing is used to extract the data information of multinational enterprises. Based on the extracted data, the loyalty of enterprise management is predicted through the deep learning (DL) model, and the prediction model of cooperation risk of multinational enterprises is implemented. Finally, the theory of game theory is applied in the calculation of profit distribution among multinational alliance enterprises, and the index evaluation system is established for quantitative and qualitative analysis. The results reveal that after 300 iterations, the accuracy loss of the traditional model is reduced to 0.3, while the accuracy loss of the prediction model established in this work is reduced to 0.15. Through the comparison between different models, it can be found that DL has an excellent effect on the risk prediction of enterprise strategic cooperation. This reveals that the key to transnational cooperation is to enhance the management ability of enterprises, thereby improving the competitiveness of enterprises. It can be concluded that DL and game theory are of practical value for reasonable resource allocation in transnational cooperation, to improve the risk management and prediction ability of enterprises.