Enterprise Operating Performance Research Articles

Research on the Role of Accounting Information Disclosure and Corporate Governance Structure in Protecting Shareholders' Rights and Interests

The influence of accounting information disclosure and corporate governance structure on the protection of shareholders' rights and interests is a complex and key research topic. This paper discusses how accounting information disclosure and corporate governance structure work together to protect shareholders' rights and interests, aiming at revealing its internal mechanism and influence path. It is found that high-quality accounting information disclosure and optimized corporate governance structure can significantly enhance the protection of shareholders' rights and interests. First of all, transparent disclosure of accounting information helps shareholders to understand the financial situation and operating performance of enterprises, so as to make wise investment decisions. Secondly, an effective corporate governance structure can restrict the self-interest behavior of management, reduce the risk of insider control and further protect the rights and interests of shareholders. Therefore, for enterprises, it is very important to constantly improve the accounting information disclosure system and optimize the governance structure, which not only helps to enhance the overall value of enterprises, but also strengthens the trust and loyalty of shareholders to enterprises.

Analysis of the Influence of Accounting Information Disclosure on Investors' Decision-Making in Corporate Social Responsibility Report

This paper discusses the influence of accounting information disclosure on investors' decision-making and corporate social responsibility. First of all, accounting information disclosure provides investors with important data about the financial situation and operating performance of enterprises, helping them to evaluate investment risks and returns. Secondly, disclosure also reflects the fulfillment of corporate social responsibilities, including charitable donations, environmental protection, employee benefits, etc. Transparency, timeliness and information quality help to build investors' trust and attract more investment. In addition, the disclosure of accounting information will help investors better understand the risks and opportunities of enterprises and help them formulate more sensible investment strategies.

Effect of Supply Chain Innovation on Enterprise Operational Performance under the Perspective of Collaborative Management

The advent of the digital economy era makes enterprises face more and more complex and dynamic environments, and each field presents the phenomenon of multi-factor complex interaction. Therefore, implementing a supply chain innovation strategy is an inevitable trend for developing China's manufacturing enterprises under the background of rapid technological and product upgrading. Currently, supply chain innovation under the perspective of collaborative management has become a research hotspot in the field of the manufacturing industry. This paper analyzes the supply chain innovation of enterprise operational performance under the collaborative management mode. It explores the influence path of supply chain innovation on the operational performance of manufacturing enterprises.

The Influence of Green Entrepreneurship Orientation on Enterprise Performance Based on the TPB Model

Abstract In this paper, the transformation of the green service industry is regarded as an intermediate variable based on the TPB model. Green service innovation can be divided into application type and exploration type. The function mechanism of enterprise green innovation guidance mechanism on enterprise operating performance is established. The empirical analysis of several service companies in East China shows that “green innovation” has an apparent positive effect on service innovation. It will only have a pronounced positive development in the research-based green service-based innovation. These factors have no evident positive impact on creating environmental services for use. Green service innovation and the use of green service innovation have a noticeable positive impact on the business performance of enterprises. This research result provides a new idea for the development of enterprises.

Big data of enterprise supply chain under green financial system based on digital twin technology

PurposeMinimizing the impact on the surrounding environment and maximizing the use of production raw materials while ensuring that the relevant processes and services can be delivered within the specified time are the contents of enterprise supply chain management in the green financial system.Design/methodology/approachWith the continuous development of China's economy and the continuous deepening of the concept of sustainable development, how to further upgrade the enterprise supply chain management is an urgent need to solve. How to maximize the utilization of resources in the supply chain needs to be realized from the whole process of raw material purchase, transportation and processing.FindingsIt was proved that digital twin technology had a partial intermediary role in the role of supply chain big data analysis capability on corporate finance, market, operation and other performance.Originality/valueThis paper focused on describing how digital twin technology could be applied to big data analysis of enterprise supply chain under the green financial system and proved its usability through experiments. The experimental results showed that the indirect effect of the path big data analysis capability digital twin technology enterprise financial performance was 0.378. The indirect effect of the path big data analysis capability digital twin technology enterprise market performance was 0.341. The indirect effect of the path big data analysis capability digital twin technology enterprise operational performance was 0.374.

Research on the Impact of Capital Structure on Profitability of Listed Sports Industry Companies in China

Profitability is an important embodiment of the financial competitiveness and operating performance of enterprises, and the capital structure affects the profitability of enterprises by affecting the solvency and operating ability of enterprises. The optimization of capital structure is the key way to improve the profitability of enterprises. China's sports industry, as an emerging industry, has shown a rapid growth momentum. The total output value of the sports industry has exceeded 3 trillion yuan in 2021, which will play an increasingly important role in promoting economic development. Studying the correlation between the capital structure and profitability of sports enterprises is of great significance to the development of the sports industry. This paper selects 10 A-share listed sports enterprises in China from 2017 to 2021 as the research object, and establishes regression model to empirically analyze the impact of asset structure of sports listed companies on profitability based on the analysis of the financial status of sports listed companies. The research results show that the proportion of current assets, fixed assets and inventory of sports industry listed companies is not significantly related to profitability, while the proportion of monetary capital is positively related to profitability, and the growth rate of total assets also has a positive role in promoting the improvement of corporate profitability. The research results of this paper show that the stronger the liquidity of the assets of sports enterprises and the expansion of the asset scale have an obvious effect on the improvement of the profitability of enterprises, which provides a reference for Chinese sports enterprises to optimize the asset structure and improve the profitability.

Analysis of The Construction of Management Accounting System Under the Mode of Financial Sharing

Under the background of Internet, with the continuous development of information technology such as big data, Internet of things and cloud computing, financial sharing develops very rapidly. Management accounting plays an important role in enterprises, and financial sharing plays an increasingly important role in enterprise management accounting. Based on the theoretical basis, this paper discusses and analyzes the feasibility of the construction of management accounting system under the mode of financial sharing. It is expected that the analysis of this paper can provide certain ideas for the application of enterprise management accounting, optimize enterprise operation and improve enterprise operating performance.

The influencing mechanism of big data analytics technology capability on enterprise's operational performance: The mediating role of data-tool fit.

With the development of network technology, enterprises face the explosive growth of data every day. Therefore, to fully mine the value of massive data, big data analysis (BDA) technology has become the key to developing the core competitiveness of enterprises. However, few empirical studies have investigated the influencing mechanism of the BDA capability of an enterprise on its operational performance. To fill this gap, this study explores how BDA technology capability influences enterprise operation performance, based on dynamic capabilities theory and resource-based theory. It proposes the key variables, including the connectivity, compatibility, and modularization of big data analysis technical capability, enterprise's operational performance, and the fit between data and tools, to establish a model and study the correlation between the variables. The results highlight the mediating role of data-tool fit in the relationships between BDA capability and the enterprise's operational performance, which is a major finding that has not been underlined in the extant literature. This study provides valuable insight for operational managers to help them in mobilizing BDA capability for enterprises' operational management and improving operational performance.

The environmental cost of tax administration: evidence from a regression discontinuity design in China.

Tax collection and management is an important factor affecting corporate pollution emissions, but currently, few studies systematically and rigorously identify its effects. Based on China's tax collection and management reform and a microenterprise database, this paper uses a regression discontinuity design model to empirically analyze the impact of tax collection and management reform on environmental pollution and the mechanism of this impact. This study found that the tax collection and management reforms have significantly increased environmental pollution. On average, the environmental pollution of enterprises affected by the reform has increased by approximately 10.8%. This effect is more pronounced in companies with high innovation capabilities and financing constraints, companies in underdeveloped areas, zombie companies, large-scale companies, and non-labor-intensive companies. The impact mechanism analysis shows that tax collection and management reforms increase the tax burden and costs of enterprises and reduce enterprise operating performance, thereby exacerbating environmental pollution. The findings of this article help clarify the impact of government taxation decisions on environmental pollution decisions and have enlightening significance for improving taxation system design and reducing environmental pollution in developing countries.

RETRACTED ARTICLE: Digital finance, corporate financialization and enterprise operating performance: an empirical research based on Chinese A-share non-financial enterprises

RETRACTED ARTICLE: Digital finance, corporate financialization and enterprise operating performance: an empirical research based on Chinese A-share non-financial enterprises

‘Isomorphic’ behavior of corporate greenwashing

In the implementation of corporate environmental responsibility,‘greenwashing’ is a pseudo-social behavior which is theopposite of ‘genuine green’ behaviors. With the improvement of the public awareness of environmental protection and the strengthening of the government environmental supervision, more and more enterprises are learning the green behavior adaptively. The frequentoccurrence of greenwashing has become a‘disharmonious’ voice in the construction of ecological civilization. Institutional theory holdsthat institutional factors make organizations become more similar in structure and performance due to institutional forces. This paper describes an exploratory research on the law of group behavior in corporate greenwashing, analyzes the isomorphic mechanism of corporate greenwashing based on the institutional theory, and carries out an empirical test by using the data of A-share listed companiesin heavily polluting industries during the period of 2010-2016. The research in this paper shows that corporate greenwashing behavioris significantly affected by neighboring enterprises in the same region, and proves the existence of the‘bandwagon’ effect. The results of analysis based on the nature of property rights show that state-owned enterprises have more significant regional isomorphic behaviors, indicating that state-owned enterprises are more inclined to claim legitimacy through the institutional isomorphism of greenwashing. Results of further analysis show that, greenwashing isomorphism does not significantly improve the operating performance of enterprises, but the similarity strengthens the ability of these enterprises to bear risks under an uncertain environment. As such, this provides empirical evidence support for the hypothesis that‘organizational isomorphism is usually for legitimacy rather than efficiency’in the institutional theory. The research in this paper reveals the land-derived characteristic of greenwashing behavior, and provides adecisive reference for policy implication. For the control of greenwashing, the central government should enforce and standardize theenterprise environmental report in terms of institutional arrangement, unify the form and content of disclosure, and improve the credibility and comparability of environmental information disclosure. The local governments need to strengthen the supervision of enterprises within their jurisdiction, as well as the coordination, cooperation and information sharing between departments, increase the punishment of violations, break the legal for enterprises to obtain socialrecognition by greenwashing. Meanwhile, it is necessary for the promotion of ‘genuine green’ large companies and state-owned enterprises as role models.

The Impact of Balanced Scorecard on Performance: The Caseof Vietnamese Commercial Banks

Balanced Scorecard (BSC) is one of basic contents of managerial accounting. Balanced Scorecard (BSC) will help the manager to measure and evaluate the operating performance in enterprises. Therefore, providing the theory base as well as in fact with regards to apply with Balanced Scorecard, impact of applying with Balanced Scorecard on the performance of company, from then providing for the managers with the base to promote on applying the Balanced Scorecard in Vietnamese Enterprises aimed to improve the operating performance of enterprises meaningfully and neccessary. However, balanced scorecard in general is a very new content in both theoretical and practice in Viet Nam. The study aims to explore the application with Balanced Scorecard in enterprises according to 4 perspective of Balanced Scorecard in Vietnamese commercial banks. In the dimension of this paper, SPSS 22 was used to collect and analysis data, basing on the results of 109 questionnaires of managers and head of department from Vietnamese commercial banks. Research have shown impact of Balanced Scorecard on the performance of Vietnamese commercial banks. This is the scientific basis for enterprises of Vietnam in general and Vietnamese commercial banks firms in particular have a successful application of balanced scorecard to improve the business performance.

Integration of incremental filter-wrapper selection strategy with artificial intelligence for enterprise risk management

The deterioration in enterprises’ profitability not only threatens the interests of those firms, but also means related parties (investors, bankers, and stakeholders) could encounter tremendous financial losses, which could also impact the circulation of limited economic resources. Thus, an enterprise risk forecasting mechanism is urgently needed to assist decision-makers in adjusting their operating strategies so as to survive under any highly turbulent economic climate. This research introduces a novel hybrid model that incorporates an incremental filter-wrapper feature subset selection with the statistical examination and twin support vector machine (IFWTSVM) for enterprise operating performance forecasting. To promote a hybrid model’s real-life application, the knowledge visualization extracted from IFWTSVM is represented in an easy-to-grasp style. The experimental results reveal that IFWTSVM’s forecasting quality is very promising for financial risk mining, relative to other forecasting techniques examined in this study.

Do R&D expenditures matter more than those of marketing to company performance? The moderating role of industry characteristics and investment density

ABSTRACTConfronting competitive environment, enterprises differentiate their product by promoting their R&D or marketing capacities. Scholars have verified that there is a direct relationship and a deferred effect between R&D expenditures and firm performance, but that there exists an inconsistency between marketing expenditures and firm performance. However, previous studies have neglected to analyse and compare the impact of corporate R&D and marketing investment on performance, and also ignored the moderating effects of different industry characteristics and investment densities. The study attempts to fill the gap by constructing a model to accommodate all these factors. The empirical results indicate that R&D and marketing expenditures have a positive impact on enterprise operating performance, and that there is a longer deferred effect in R&D expenditures than in marketing expenditures. By investing in R&D expenditures, manufacturing enterprises can increase their performance more than in service enterprises, and electronic enterprises can improve their performance compared with other types of firms. Finally, investments with higher R&D density can result in a higher performance.

Does Privatisation Affect Earnings Management of State-owned Enterprises in China?

Once privatised, SOEs are operating in a market with free competition; their reported earnings become an important indicator of the enterprise's operational performance. The degree of control that the state is able to exert over the company will diminish after privatisation. The concentrated ownership structure and the strong political and economic connections between the government and listed companies are the main causes of earnings management in China.

The Study on Optimizing Predictability of the Probabilistic Neural Network��Case Study of Enterprise Operating Performance

The Study on Optimizing Predictability of the Probabilistic Neural Network��Case Study of Enterprise Operating Performance

The Deep Meaning of Enterprise Culture Construction

Since 1990s, enterprise management has gradually become from experience management and scientific management to cultural management, the enterprise cultural construction transformed an important way to improve enterprise operating performance. Its profound meaning is: to condense and activate human capital, cultivate core competence, enhance the brand image, enhance the efficiency of management system.

A Study on Enterprise Performance Prediction Model by Reducing Financial Ratio

Financial ratio is an important indicator to represent the operation performance of an enterprise. Operating performance is defined as some important financial ratios which can indicate enterprise financial with positive operation and growth. The strength and weakness of financial health can not only show the results of operation performance of the organization, but also indicate its growth and potential in the future. However, how to select a set of representative financial ratios is an important issue for evaluating the operating performance of an enterprise. Traditionally, more related researchers have long used statistical methods for handling these problems. However, these conventional methods become more complex when relationships in the input/output dataset are nonlinear. Nevertheless, statistical techniques always rely on the restrictive assumptions on linear separability for the predictive variables, multivariate normality, and many of the models of financial performance violate these assumptions. Therefore, to overcome these existing shortcomings, the proposal proposed attribute selection method to extract financial ratio attributes and OWA based multiple attribute decision making (MADM) to analyze enterprise operating performance situation for stakeholders (i.e., management, investors, employees, shareholders and other interested parties). The financial ratios are collected from the open source information retrieval systems of dataset for publicly traded enterprises in Taiwan stock market from 2008. The proposed model use singular value decomposition (SVD) + ordered weight averaging (OWA) for evaluating enterprise operating performance. At last, the results indicate that the proposed selection attribute can explain enterprise financial situation, and proposed model can objectively evaluate the performance of enterprise.

The use of genetic programming for the construction of a financial management model in an enterprise

The fast development in China's economy has caused the rapid expansion of the domestic market. Since many economists do not have optimistic views regarding the bubble economy of China, it is necessary for Taiwanese businessmen to understand in-depth the business operational performance and financial situation of enterprises in China, so as to reduce the risk of a potential investment. In this article, data from the China Economic Research Database (CCER), the financial database of financial corporations are collected for analysis to investigate the business operation and management performance and financial characteristic of enterprises in China. In this article, grey relational analysis is applied first in order to investigate the business operational performance of 600 enterprises in China. Afterwards, a more recent clustering technique is used to divide, based on financial characteristic, enterprises in China into two groups. Finally, three models, namely genetic programming, Back-Propagation Neural Network and Logistic Regression are adopted to construct an Enterprise Operational Performance model and an Enterprise Finance Characteristic model, respectively. Based on the results found, it can be concluded that genetic programming yielded the best classification and forecast performance, compared to the other three techniques.