Improving the Performance Management of Public Institutions: Is it Difficult to Measure Performance in Public Institutions?

In recent years, measuring the performance of public institutions has become a topic much studied by researchers, as questions arise about its structure and role in the economy and society, whether it is effectively put in the public service and whether it is effective or not. To improve the management system, there is a need to introduce a performance management whose main goal is the evaluation of performance at individual and organizational level along with the improvement of the efficiency of public expenditures and the orientation towards achieving the results. This paper aims to highlight the importance of performance measurement and explain the role of it in the development of the public institutions. The results were obtained after analyzing numerous qualitative and quantitative data and an extensive research was conducted to filter the information found in various research platforms, official electronic resources and numerous books related to performance management, performance evaluation system, characteristics and possible barriers that may occur while trying to measure the performance in the public sector. Moreover, since public sector performance is closely linked to the overall economic performance of different countries this research paper comes to complete the existing literature, leaving room for further research on the topic discussed.

Engineering Financial Performance Evaluation of Wireless Network Based on Intelligent Neural Network Model

Under the global economy, enterprises in the financial industry are facing plenty of opportunities and severe challenges. Aimed at providing a reference enterprise performance evaluation system for related enterprises, the proposed model helps enterprises to learn and sort out their own performance evaluation system according to this structure. A prediction model of BP neural network (BPNN) based on the wireless network is studied as the performance data prediction algorithm. Firstly, the feasibility of this algorithm is analysed through prediction training. Secondly, the proposed neural network algorithm is compared with the traditional algorithm for data prediction. It turns out that this neural network prediction algorithm based on wireless communication is not only universal to the prediction data but also superior to the traditional prediction algorithm in both error gap and relative average error compared with other traditional algorithms. On this basis, the particle swarm optimization (PSO) algorithm is also used to evaluate the performance indicators of three enterprises, and accurate numerical values are obtained to express the corresponding results. Therefore, it is concluded that the subalgorithm can be applied to the enterprise performance evaluation team in the financial industry.

Financial Performance Management System and Wireless Sharing Network Optimization of Listed Enterprises under BPNN

The study aims to respond to the difficulties in establishing an index system in financial performance management and ensuring the security of wireless sharing network and the local extremum and slow convergence speed of the traditional BP neural network (BPNN). First, Levenberg–Marquardt (LM) is used to optimize BPNN, and an improved BPNN is proposed. Second, the financial performance evaluation system of listed companies based on BPNN is constructed. Finally, a wireless network infusion detection system based on the improved BPNN is proposed and tested by constructing datasets and a real test environment. The results show that (1) the financial performance evaluation system of listed enterprises constructed can evaluate the financial performance of listed enterprises with fewer errors. It is easy to operate, and it has high accuracy and the abilities of self-learning and self-adaptation; (2) Wireless Infusion Detection System (WIDS) based on the improved BP algorithm has a high detection rate and a low error rate. The study provides important technical support for listed enterprises to improve the financial performance management level and market competitiveness and strengthen the security protection of networks.

Research on the Mechanism of the Sustainable Development Model of Enterprises Based on Big Data Analysis Model

This paper adopts the analysis method of big data to conduct an in-depth analysis and research on the sustainable development mechanism of enterprises, firstly, combing the content and methods of enterprise business performance evaluation, defining enterprise sustainable development, and exploring the integration of enterprise sustainable development and enterprise business performance evaluation by specifically analyzing from different perspectives. Then, we analyze the industry in which the enterprise is located, its business situation, and strategy, and after analyzing the current business performance evaluation system of the enterprise, we point out its problems. The current performance evaluation system is incomplete, focuses only on economic benefits, is not long term, and does not consider the company’s strategy and stakeholders’ needs, which affects its importance and feasibility. Then, the above analysis is integrated to build a performance evaluation system consisting of four dimensions, namely, economic dimension, scientific research and innovation dimension, social dimension, and ecological dimension, from the perspective of sustainable development, and a total of 29 indicators are selected. Then, the two research tools of first value method and fuzzy comprehensive evaluation method were combined, based on the panel data of enterprises from 2016 to 2020; the first value method was used to get the weights of each indicator in the business performance evaluation system. The fuzzy comprehensive evaluation method was used to get a comprehensive evaluation score of enterprise’s business performance in 2019, and then the evaluation results were analyzed in detail and suggestions were made, which confirms that enterprises are based on the sustainable development perspective. The evaluation of business performance is necessary and important. Finally, we propose supporting safeguards, such as establishing a performance evaluation team and a monitoring mechanism, dynamically improving the enterprise performance evaluation system, establishing a sustainable corporate culture, preparing and publishing a sustainable development report, and accelerating the information construction of performance evaluation.

Analysis Criteria for Defense Expenditure Performance – Economy, Efficiency, and Effectiveness

Based on the analysis of public expenditure performance, this article discusses the economy, efficiency, and effectiveness of defense expenditure performance, explains the relationship of the three, and emphasizes their unity, interaction, and priority. The defense expenditure performance evaluation system, which is a comprehensive assessment of processes and results, is put forward along with the unification of economy, efficiency, and effectiveness. This system can be used to analyze whether the allocation and use of defense funds have achieved the strategic objectives of the Department of Defense.

Determination of Evaluation Indicators and Establishment of Employees Performance Evaluation System

Employees’ performance appraisal can be seen as an intersection between employees and organizations’ expectations. The two main tasks in evaluating employees’ performance are the establishment of a system for evaluating performance, and the preparation of supervisors to play an effective role within the system and related executive processes.