Abstract

The 43 national cross-border e-commerce policies promulgated by the Chinese government in recent years are selected as the research samples, and the PMC index model is applied to evaluate the mechanism design based on the IoT and data-driven innovation mechanism of international business finance statistics. On this basis, the implementation effects of specific policies on cross-border e-commerce in China are evaluated and analyzed, and the role of national macropolicies in guiding local policies is also discussed, with the aim of providing a reference basis for the Chinese government to formulate relevant policies, as well as providing new ideas and methods for the evaluation of cross-border e-commerce policies.

Highlights

  • In order to continuously improve the needs of business users and business user experience, and carry out large-scale business personalized customization on the interactive cloud manufacturing platform, it is necessary to deeply analyze the needs of business users and reasonably adjust and modify their respective needs, so as to meet the real product requirements of customized enterprises

  • Business users participate in the personalized recommendation system to select the appropriate custom product parameters and store the demand information

  • Using the demand interaction conversion process model in the large-scale personalized interactive cloud platform, the customized product demand stored on the platform is expressed into the manufacturing demand of each batch of parts through the monitoring service system, demand configuration system, interaction system, and expert system and is assigned to the corresponding manufacturing group and service provider for the production and processing of customized products in accordance with the CCMS

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Summary

Related Work

With the rapid advancement of global economic integration, cross-border e-commerce has become a research hotspot in the field of international trade and e-commerce. Bahoo et al [2] evaluated the effects of cross-border e-commerce policies in the areas of finance, taxation, privacy, logistics, etc., through empirical studies on the formulation and implementation of cross-border e-commerce policies driven by the network environment and information technology; Paul and Criado [3] conducted a questionnaire survey on cross-border e-commerce consumers and found that the development of cross-border e-commerce in the EU has problems such as rising costs of cross-language transactions and inefficient online payment systems On this basis, the effectiveness of relevant policies is evaluated, and feasible suggestions are put forward for further improvement of cross-border e-commerce policies in the EU; Dluhopolskyi et al [14] analyzed the current situation of cross-border e-commerce policy development in China in terms of the number of policies, topics involved, and enacting agencies, evaluated the policy implementation effect by the proposed policy evaluation criteria, and put forward countermeasure suggestions for the specific problems in the process of policy formulation and implementation. The author starts from single-policy evaluation, selects representative hotspot policies as research samples, and adopts the PMC index model to evaluate and analyze the effects of these policies, so as to discover the key problems and constraints in policy formulation and provide decision support for the government to improve and adjust policies

Introduction to Interactive Cloud Organization Model
Intelligent Interaction in Cloud Environments
Demand Interaction Transfer
Cross-Border e-Commerce Policy Evaluation
Experimental Results
Conclusions

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