In the current era of new economy, the competition between enterprises is becoming increasingly fierce. In many performance evaluation tools, EVA’s balance sheet scorecard has gradually become a more convenient management tool for organizations to implement strategies. The introduction of a balanced scorecard (if used properly) in the company’s performance evaluation will greatly improve the management efficiency of the organization and play a better role in promoting the enterprise to achieve the best resource allocation. This article aims to analyze the status quo of the EVA balanced scorecard in the performance appraisal system and its implementation in the enterprise through an overview of the relevant concepts and basic theories such as the balanced scorecard, combined with the theory of enterprise performance evaluation, such as the balanced scorecard. And strategic performance evaluation theory and other related theories established a series of effective management methods that match the EVA balanced scorecard. Use performance management system model calculation and performance evaluation system design to study the role of EVA-based balanced scorecard in building the performance evaluation system. Exploring the EVA balanced scorecard through experimental research can not only really improve the shortcomings and problems of the single performance appraisal system used by enterprises but also make it more in line with the company’s strategic development requirements and promote the realization of the strategy. The goal of the company: the experimental results of this paper show that 80% of the company’s operating conditions in the EVA-based balanced points performance evaluation have increased year by year and also confirmed that the EVA performance management system is a future-oriented performance management system.
With the development of the Internet of Things and big data technologies and the rise of smart cities, more and more Internet of Things and big data technologies are applied in the economic field, and the construction of the Shanghai Pilot Free-Trade Zone will be important for my country’s follow-up construction of free-trade zones and the whole country. Its economic development strategy has a significant impact, and it has also become a hot spot for domestic and foreign research. Among them, the use of big data and the Internet of Things application of the free-trade zone tax policy system for research cannot be ignored. This article puts forward the literature in the process of writing research method, quantitative research method, and case research method. We used the literature research method to study the theory of big data and tax informatization, used the quantitative research method to conduct data statistics on the tax system of the free-trade zone to understand the information construction of the tax authority, and used the case study method to realize the “data quality monitoring platform.” Taxation informatization management in turn brings enlightenment and suggestions for big data to promote the taxation informatization construction of the free-trade zone. A total of 2,854 samples of tax data were extracted from the system of the State Taxation Bureau of a certain district using SQL statements, when the tax burden rate threshold value selected by the nodes of the tax burden discrimination decision tree for all industries is 2.23%, through experiments, various tax collection, and management. The work has achieved ideal results, providing a more scientific and persuasive argument for the proposal of countermeasure research.
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