Enterprise Performance Evaluation Research Articles

The improved BP neural network supply chain performance evaluation model under the cross-border e-commerce marketing chain

With the rapid development of Internet technology, foreign trade has been integrated with it, resulting in the rapid development of cross-border e-commerce, and for all kinds of enterprises to bring rich profits. However, in the fierce market competition, many enterprises ignore the importance of supply chain in the process of operation, which leads to the frequent bankruptcy of enterprises. To solve this problem, the research focuses on the supply chain performance evaluation of cross-border e-commerce enterprises, and proposes an improved error inverse propagation algorithm supply chain performance evaluation model. The results show that the model has improved the service capability of cross-border e-commerce, the performance of suppliers and the supply chain. The average relative error of the artificial neural network algorithm and the error reverse propagation algorithm is 3.26% and 10.23% respectively, while the average relative error of the expected output and actual output of the artificial neural network algorithm is 2.11%, and the average relative error of the expected output value and actual output of the error reverse propagation algorithm is 6.78%. It can be seen that the artificial neural network algorithm can effectively improve the performance level of the supply chain, and under this algorithm, the objectivity of the weights and the accuracy and efficiency of the prediction results are guaranteed. Therefore, this study has important scientific value and practical significance for understanding and improving the supply chain management of cross-border e-commerce enterprises.

Research on Financial Performance Evaluation and Risk Governance of Photovoltaic Enterprises Under the Whole Industry Chain Model

As China puts forward the strategic development goals of “carbon peak” and “carbon neutrality”, the demand for clean energy is increasing day by day. Solar energy-based power generation technology has developed rapidly in recent years and has become increasingly mature. The competition among photovoltaic companies has gradually intensified. At present, most leading enterprises in the photovoltaic industry are extending to the integration of the industrial chain, and the whole industrial chain strategy has become the mainstream strategic direction. Based on the above situation, from the perspective of the industrial chain, this paper selects the three leading enterprises in the photovoltaic industry, evaluates and analyzes their financial performance after the entire industrial chain model, and then explores the possible risks in the entire industrial chain model of photovoltaic enterprises, and puts forward the suggestions of governance risks.

Research on Optimization of Financial Performance Evaluation of Energy Enterprises under the Background of Low-Carbon Economy

The development of human society and the production and operation activities of enterprises have brought about global warming, resulting in frequent natural disasters. It has become the consensus of all countries in the world to develop a green and low-carbon economy. Under this background, enterprises, as the main body of economic activities, especially energy industry enterprises, should optimize and upgrade the traditional production and operation mode with high pollution, high consumption, and low output to a high-efficiency and low-pollution mode, and pay attention to the co-ordinated development of economic benefits, social benefits, and ecological benefits. Financial performance evaluation indicators have become the main basis for senior leaders of energy industry enterprises to make decisions and evaluate the low-carbon economic benefits of enterprises. This paper constructs a set of financial evaluation index systems of energy industry enterprises under the background of a low-carbon economy from four dimensions: profitability, asset quality, debt risk, and business growth. The analytic hierarchy process (AHP) is used to measure the comprehensive contribution of financial indicators of low-carbon production and operation. The purpose of this study is to provide scientific financial management decisions for energy enterprises to reduce costs and increase the efficiency and low-carbon operation under the background of a low-carbon economy. The research results show that the comprehensive evaluation index system after the traditional financial evaluation index of energy industry enterprises is integrated with the evaluation index of a low-carbon economy can help enterprises make more correct and effective financial decisions in the process of survival, development, and growth, and, at the same time, the financial evaluation index of a low-carbon economy should pay more attention to the indicators with a higher comprehensive contribution, so as to effectively promote the low-carbon operation efficiency of enterprise production, management, and sales. Compared with other research results, this paper innovatively constructs a financial management decision-making index system for measuring the low-carbon operation of energy enterprises in theory, which has important value in guiding energy enterprises to reduce costs and increase the efficiency and low-carbon operation in practice.

Enhanced group decision-making framework for financial performance evaluation of high-tech enterprises under interval neutrosophic environment

The financial performance of enterprises has always been the key to their survival and development, especially for high-tech enterprises. Evaluating the financial performance of high-tech enterprises is beneficial for the management department to accurately understand the financial situation of the enterprise, timely identify financial problems, and study solutions based on this; On the other hand, the scientific evaluation of enterprise performance also provides useful assistance for other stakeholders such as the government, creditors, and enterprise employees to exercise their rights. With the development of the times and the progress of society, high-tech enterprises have developed rapidly. Studying the financial performance of high-tech enterprises has important theoretical and practical significance. The financial performance evaluation of high-tech enterprises is a classical MAGDM problems. Recently, the TODIM (TODIM) and (grey relational analysis) GRA technique has been employed to cope with MAGDM issues. The interval neutrosophic sets (INSs) are employed as a tool for characterizing uncertain information during the financial performance evaluation of high-tech enterprises. In this manuscript, the interval neutrosophic number TODIM-GRA (INN-TODIM-GRA) technique is implemented to solve the MAGDM under INSs. In the end, a numerical case study for financial performance evaluation of high-tech enterprises is employed to validate the proposed technique.

Input-Output Performance Evaluation of Science and Technology Enterprises Based on DEA Model

INTRODUCTION: For enterprises, the results of performance evaluation will be affected by the selected input and output factors, so the indicators of the evaluation system should be representative and characteristic, and the evaluation method should be reasonable.OBJECTIVES: According to the characteristics of science and technology industry, this paper establishes the performance evaluation index system, and the evaluation model of the input-output performance for the science and technology enterprises.METHODS: With the evaluation model, this paper empirically analyses the evaluation index data of 30 science and technology enterprises in recent 3 years, and verifies the effectiveness of the selection of management performance evaluation index of science and technology enterprises.RESULTS: Finally, according to the empirical analysis results of the evaluation model.CONCLUSION: This paper puts forward some countermeasures to improve the business performance of science and technology enterprises.

A Performance Evaluation Method for Employees in Small and Medium-Sized IT Enterprises Based on Multiple Indicators

In recent years, research on performance evaluation of IT enterprises has become a hot topic worthy of attention. In some countries, IT enterprises have become essential in driving economic development. However, there are significant differences in personnel management, performance evaluation, and other aspects among listed IT enterprises, large IT enterprises, and small and medium-sized IT enterprises, making it difficult to standardize performance evaluation for different types of enterprises. Especially for small and medium-sized IT enterprises, there are still specific problems in performance evaluation due to the unique characteristics of the enterprise. The primary manifestation is that standardized evaluation indicators cannot be fully applicable to small and medium-sized IT enterprises, making it challenging to conduct dynamic evaluations based on the characteristics of the enterprise. This article is based on the research and analysis data of performance evaluation management for small and medium-sized IT enterprises in a particular region of China. It proposes a multi-indicator-oriented performance evaluation system for small and medium-sized IT enterprises and offers corresponding guarantee measures.

Enterprise performance online evaluation based on extended belief rule-base model

The performance evaluation method based on data envelopment analysis (DEA) is one of the important tools to measure the competitiveness and productivity of enterprises. However, the input and output of enterprises may contain negative data and the essence of DEA is an iterative optimization model, resulting in a low applicability of the DEA-based performance evaluation method in the real word, especially for the dilemma of evaluating enterprise performance within a limited time for new enterprises. Therefore, this study firstly develops a DEA model that can handle negative data for enterprise performance evaluation, and then further establishes a new method base on the extended belief rule-base (EBRB) model for enterprise performance online evaluation. A case study about 35 Chinese state-owned enterprises are conducted to verify the effectiveness of the proposed enterprise performance online evaluation method. Experimental results showed that the proposed method has capable of evaluating enterprise performance with accurate efficiency values better than some existing performance evaluation methods, and its computation time is significantly less than the DEA-based performance evaluation method, which guarantee that the proposed enterprise performance online evaluation method can serve as a reference for the promotion of enterprise productivity and sustainable economic development.

Environmental performance evaluation of electric enterprises during a power crisis: Evidence from DEA methods and AI prediction algorithms

With the continuous occurrence of power crisis events worldwide, meeting society's demand for electricity has kept coal-fired power generation high, which leads to a large amount of carbon dioxide emissions and environmental pollution problems. Therefore, improving the environmental performance of thermal power plants under the background of a power crisis has become particularly important. This research provides a new path for production optimization and environmental performance improvement of electric power enterprises from the perspective of combining prediction algorithms and DEA methods. We apply the modified non-radial directional distance function (MNDDF) method to a set of panel data containing 16 different cogeneration units and 27 different periods in eastern China and construct the grey prediction model to predict the future environmental performance of these units. Empirical analysis shows that our model has high prediction accuracy and offers a reasonable basis for future production decision-making adjustments for electric power enterprises. Based on the results herein, we present valuable suggestions for thermal power plants to improve their environmental performance during a power market crisis, including optimizing resource utilization, improving management level and operating conditions, strengthening technological innovation, and enhancing production factor allocation.

Influence of Democratic Leadership Style on the Performance of Agricultural Enterprises in Kenya

A performance evaluation of agricultural enterprises in Kenya was conducted to assess the influence of democratic leadership style. The assessment of agricultural enterprises’ performance in Kenya encompassed both financial and non-financial indicators. The overarching aim of the research was to assess the influence of democratic leadership style on the performance of agricultural enterprises in Kenya. The study was guided by the Systems Theory, Path Goal Theory, and Transformational Leadership Theory. The study evaluated the influence of Democratic leadership style on the Performance of Agricultural Enterprises in Kenya. Explanatory sequential mixed methods approach was adopted using cross-sectional survey design to collect quantitative and qualitative data. Quantitative data were gathered using closed-ended questionnaires, while qualitative data were gathered using interview guides and focused group discussion guides. A stratified random sample of 222 leaders and employees was selected from a population of 525 leaders and employees drawn from a census of 105 agricultural enterprises for the quantitative study. Qualitative data drew a sample of 40 participants. Quantitative data was analysed using descriptive and inferential statistics as provided for in Statistical Package for the Social Sciences (SPSS) Version 28.0.1. The overall findings of the study show that agricultural enterprises in Kenya perform better under democratic leadership style. The study recommends the implementation of Democratic Leadership Style by governments, donors, and capacity building organizations to enhance the performance of agricultural enterprises in Kenya.

Framework for performance evaluation of public sector enterprises A multi-criteria decision-making approach

Framework for performance evaluation of public sector enterprises A multi-criteria decision-making approach

Enterprise Performance Management and Evaluation Incentive Model for Blockchain Technology and Big Data Algorithms

Enterprise Performance Management and Evaluation Incentive Model for Blockchain Technology and Big Data Algorithms

Role of Transformational Leadership and Social Entrepreneurship in Achieving Enterprise Performance: Taking Creativity as a Mediator

Purpose: In the recent business context, the pivotal drivers of organizational success are increasingly identified as transformational leadership and social entrepreneurship. These dynamic forces have emerged as crucial predictors, shaping the trajectory of enterprise performance. The present study proposed to explore the role of transformational leadership and social entrepreneurship in achieving enterprise performance through creativity among employees of small and medium-sized enterprises (SMEs) in Egypt. Design/Methodology/ Approach: We applied quantitative methods to detect this problem by collecting data from the employees of Small and Medium-sized Enterprises (SMEs) in Egypt. Finally, we utilized 294 samples to get the results. Findings: Applying the analysis of moment structures (AMOS) version 26.0, the results show a positive and significant impact of transformational leadership, social entrepreneurship and creativity on enterprise performance. The mediating path leads to a positive mediating impact of creativity in developing the connection between transformational leadership and enterprise performance. On the other hand, creativity did not mediate the relationship between social entrepreneurship and enterprise performance. Research, practical and social implications: The research outcomes serve as a strategic compass for policymakers and planners, offering actionable insights to elevate enterprise performance through the strategic integration of transformational leadership and social entrepreneurship. Furthermore, the study provides valuable guidance for organizations aspiring to cultivate a culture of innovation and creativity, fostering the essential elements for sustained success in today's dynamic business environment. Originality/ value: This study addresses the gaps in the empirical evaluation of enterprise performance through transformational leadership, social entrepreneurship and creativity among Egyptian employees of Egyptian SMEs.

Evaluation of the green economic value added index in the game of enterprise capital providers

This study explores the performance evaluation of steel enterprises, emphasizing the importance of green environmental performance. Based on the review of the current situation of green investment research, economic added value evaluation system, and game analysis of enterprise capital providers, this study discusses the comprehensive evaluation of games among enterprise capital providers from the perspective of green economic added value. It constructs a game model of capital providers from the perspective of green investment. This model is based on the probability of creditors making green bond investments and shareholders pledging equity, deriving game results, and using economic added value returns to measure enterprise performance. The main data in this study are from the CSMAR database, a corporate governance project, and the relevant environmental protection data from Nangang's annual report. The results show that the green economic added value return rate is higher than the traditional economic added value return rate, indicating that environmental investments do not reduce the operational performance of enterprises. The game of capital providers leans towards equity investment and does not enhance enterprise performance at the expense of the environment. The green economic added value index only reflects past operational performance, based on which enterprises can design reasonable performance evaluation mechanisms, encouraging capital providers to favor environmental investments. This study has important theoretical and practical significance, guiding enterprises' strategic choices during green transformation.

Entrepreneurial Leadership and Enterprise Performance: A Way Out of Sustainability

Purpose: Developing enterprise performance and sustainability is essential for firms’ survival. This study explores the effect of accountability, responsibility and analytical thinking on enterprise among Egyptian firms. Design/Methodology/ Approach: We applied quantitative methods to detect this problem by collecting data from entrepreneurs working in different firms in Egypt. The study concludes the results based on 304 valid samples. Findings: Employing path analysis through analysis of moment structures (AMOS) version 26.0, the findings suggest a positive and significant effect of responsibility and analytical thinking on enterprise performance. On the other hand, accountability negatively affects enterprise performance. Finally, the effect of enterprise performance on enterprise sustainability is positive and significant. Research, practical and social implications: The findings of the study may be helpful for investors to Invest in training for accountability, responsibility, and analytical thinking to optimize venture success. They may foster a corporate culture balancing accountability, risk-taking, and innovation for enduring success. Finally, they Align performance metrics with sustainability goals and integrate ethical practices for resilient business outcomes. Originality/ value: This study addresses the lacunae in the empirical evaluation of enterprise performance and sustainability among Egyptian entrepreneurs by emphasizing accountability, responsibility, and analytical thinking. Doing so contributes to a more comprehensive understanding of the factors influencing business success and long-term viability in the Egyptian context.

Strategy for Improving the Performance of Culinary SME Actors in Langsa City, Indonesia

Small and Medium Enterprises (SMEs) are pivotal in propelling the Indonesian economy. The stability and sustainability of economies in different regions have been greatly affected by the worldwide economic issues that have emerged due to the COVID-19 pandemic. One of the identified repercussions can be witnessed in the culinary sector of small and medium-sized enterprises (SMEs) in Langsa City. Thus, this study examines the effect of internal and external factors on the performance of Small and Medium Enterprises (SMEs) operating in the culinary sector within Langsa City. Additionally, this research aims to evaluate and propose strategies for enhancing the performance of SMEs in the culinary industry by employing a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis framework specifically tailored to the context of Langsa City. The present study uses a qualitative research design utilizing a case research approach. Data is gathered by distributing questionnaires, conducting in-depth interviews, and assessing validity through source triangulation. Based on the findings of the study, it was determined that the Internal Factor Analysis Summary (IFAS) and External Factor Analysis Summary (EFAS) about the performance evaluation of Small and Medium Enterprises (SMEs) operating in the culinary sector in Langsa City have not yet reached their maximum potential. This conclusion was drawn through the application of SWOT analysis. This observation may be due to the outcomes of the Cartesian diagram utilized in the SWOT analysis. The chart reveals that quadrant II exhibits the highest cumulative score, suggesting several risks encountered by the business stakeholders. However, the culinary small and medium-sized enterprise (SME) actors have internal strengths. To boost the performance of Small and Medium Enterprises (SMEs) in the culinary sector, it is imperative to employ a Strengths-Threats (S-T) approach that focuses on implementing product diversification techniques.

Evaluation of the Sustainable Forest Management Performance in Forestry Enterprises Based on a Hybrid Multi-Criteria Decision-Making Model: A Case Study in China

Sustainable Forest Management (SFM) can fully use forest resources and improve the economic, environmental, and social sustainability of forest areas. Forestry enterprises play a crucial role in the implementation of SFM. However, the previous literature on SFM pays little attention to the subject of forestry enterprises. This paper aims to extend research on SFM from a macro perspective to the micro level of forestry enterprises. Taking the Triple Bottom Line (TBL) as a theoretical framework and the Montreal Process Criteria and Indicators (MP C&Is) as a basis, this paper constructs an indicator system to evaluate the performance of SFM of forestry enterprises from economic, social, and environmental aspects. Then, we apply the hybrid Multi-Criteria Decision-Making (MCDM) methods, i.e., the Best–Worst Method (BWM) and the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method, to construct the methodological system for SFM performance evaluation of forestry enterprises. Through a questionnaire survey of 68 academics and researchers, we determine the weights of the SFM indicators and select a representative forestry enterprise as a case study. The effectiveness of this SFM performance evaluation model is then demonstrated through its application to the case study of forestry enterprises in China. Through the application of the model, this paper evaluates the enterprise’s SFM performance over the five-year period 2017–2021 and proposes appropriate policy recommendations and improvements. It is found that environmental factors are the primary factors of SFM in forestry enterprises. Forestry enterprises should not only pay attention to economic benefits but also to the use of forest resources and the protection of forest ecosystems to better achieve SFM.

Research on the Evaluation of Sustainable Development Performance of Mining enterprises Based on ESG

In recent years, stakeholders have increasingly emphasized enterprise’s environmental, social, and corporate governance (ESG) performance. As one of the industries in urgent need of green transformation, the coal mining industry faces difficulties on the topic of sustainable development that should not be underestimated. In this regard, this paper integrates the concept of ESG into the sustainable development performance evaluation of enterprises and utilizes the entropy weight-TOPSIS model to evaluate the performance of S-mining enterprises, to help them identify the deficiencies and better achieve the goal of sustainable development.

Intelligent Evaluation of Innovative Enterprise Performance - Construction of BPNN Model based on Improved WOA Optimization

With the economic progress, the environment in which enterprises operation is becoming increasingly complex. Intelligent performance evaluation of innovative enterprises is of great significance for their own development. The traditional performance evaluation indicators of enterprises rely too much on their financial indicators, leading producers and operators to pay more attention to the short-term financial performance growth of the enterprise. The long-term development of enterprises is neglected, resulting in weak core competitiveness. Therefore, to better achieve the scientific evaluation of innovative enterprise performance, based on the innovative enterprise performance evaluation index system, an innovative enterprise performance intelligent evaluation model with the whale optimization algorithm optimized backpropagation neural network is constructed. For the shortcomings of the whale optimization algorithm in the operation, the wolf swarm algorithm isintroduced to optimize it. The experimental results show that the evaluation model based on the improved whale optimization backpropagation neural network proposed in the study has very small errors in the evaluation results of different samples, with no more than 3%. This indicates that the performance evaluation index system for innovative enterprises can objectively reflect enterprise performance. This evaluation model can offer a reasonable analysis of enterprise performance, providing reference for intelligent evaluation of innovative enterprise performance.

Corporate performance management model based on CPS evaluation system

Abstract This paper proposes an enterprise performance management model based on the CPS evaluation system to improve the efficiency and efficiency of enterprises. First, this paper explains the connotation of the CPS evaluation system and constructs an enterprise performance evaluation model. The index data is normalized, and the index weights are calculated using Delphi and entropy methodsthod so that the indexes are scored comprehensively. Then the enterprise performance management system was established, and the assessment criteria for each department of the enterprise, including the finance and production departments, were established. Finally, the management effect of this performance management model was analyzed in terms of enterprise profit and return rate. In terms of enterprise profit, the enterprise’s net profit was between 700,000 and 800,000 in the five months before the adoption of this method, while the profit of the enterprise was basically above 800,000 and increased month by month after the adoption of this system. In terms of payback rate, the payback rate fluctuated around 60% before the adoption of the evaluation system, but after the adoption, the payback rate of the enterprise was above 70% and showed an increasing trend. The enterprise performance management mode based on the CPS evaluation system can improve the efficiency of the enterprise, which proves the reliability of the method of this paper.

An ensemble model for efficiency evaluation of enterprise performance based on evidential reasoning approach

Performance evaluation is one of the most important standards to measure the competitiveness and productivity of enterprises. Although existing studies could obtain the specific values of enterprises performance based on historical data, they usually failed to effectively evaluate enterprises performance in the consideration of different indicators. Meanwhile, as the characteristics of existing performance evaluation models are uneven, how to choose a reasonable data envelopment analysis (DEA) model for enterprises performance evaluation must be considered. Therefore, a new ensemble model on the basis of homogeneous, heterogeneous, and hybrid efficiency evaluation together with the evidential reasoning (ER) approach is proposed in this study for enterprises performance evaluation, so called the ER-based ensemble model. The ER-based ensemble model can overcome the inconsistency results caused by the application of different indicators and different DEA models. In case study, 40 state-own holding enterprises in China are selected and all these enterprises are evaluated and ranked using the integrated efficiency obtained from the ER-based ensemble model. Comparative analysis demonstrates that the ER-based model is better than some traditional efficiency evaluation models in enterprises performance evaluation and performance ranking.