Narrow Results

The purposes of this paper are to analyze the financial management and influencing factors of small and medium-sized enterprises (SMEs) and explore the nonlinear relationship in enterprises’ financial market structure. The small and medium-sized enterprises in Eastern and Western China are taken as the research objects. First, the relationships between asset–liability constraints and financial management are discussed, analyzed, and explained. The development of enterprises’ financial management under the asset–liability constraints system is emphasized. Second, a self-adaptive nonlinear dynamic system is proposed based on dynamic surface control and the multi-directional and uncertain control of the financial market structure. Finally, a dynamic nonlinear panel estimation model for enterprises is constructed based on the nonlinear system. The simulation and empirical analysis results confirm that the proposed nonlinear system is useful in dynamic, uncertain control problems. The statistical results of the three primary indicators, economic variables, financial indicators, and control variables, reveal the significant regional differences of different financial market structure indicators. Model estimates based on the three key sub-indicators, the leverage ratio, return on assets, and debt interest rate, reveal the differences in financing and leverage ratio of small and medium-sized enterprises located in the eastern and western regions. SMEs in Eastern China are taken as examples; the direct financing rate and insurance proportion are negatively correlated with the leverage ratio and debt interest rate. In contrast, they are positively correlated with asset returns. In conclusion, there are noticeable differences in the financial market structure between different regions.

This study uses theories on trust and opportunism to investigate the economic behaviour and business practices of enterprises in the Republic of Karelia, one of Russia's northern territories. Three enterprise types that have emerged during transition period in the Republic ("passives", "realists" and "innovators") have been identified on the basis of this analysis. Furthermore, both formal and informal market institutions in the Republic of Karelia were found to be underdeveloped, which creates numerous possibilities for opportunistic behaviour, both by authorities and by business actors. This, in turn, stimulates the creation of informal business networks and the use of particularly cautious business practices. The study is largely based on the results of a standardised survey and in-depth interviews conducted with the heads of 100 enterprises operating in the Republic of Karelia. The interviews were conducted in June and July of 2004 by the Institute of Economics research group in the Karelian Research Centre of the Russian Academy of Sciences.

The article is about documenting in Biotechnology. It touches on enterprise ventures between partners and corporate joint ventures.

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This paper studies a deep-seated data mining method for the development trend of enterprise technology. Technical distance, technical personnel and R & D investment are selected as the enterprise’s technical characteristics mined by the deep data mining method. The deep mining of enterprise’s technical characteristics is realised by defining mining objectives, data sampling, data exploration, data preprocessing, pattern discovery and prediction modelling of restricted Boltzmann machine. The mining results are used to analyse the impact of enterprise’s technical characteristics on the development trend. Ten science and technology enterprises are selected as the empirical analysis object. The empirical research results show that the three enterprise’s technical characteristics of technical distance, technicians and R & D investment have a great impact on the enterprise development trend. The results show that the method in this paper has certain practical application significance, and also provides a theoretical basis for enterprises to use technological innovation to occupy the market.

This study explores how education and development in the skills and knowledge of foresight, innovation and enterprise (FI and E) relate to the empowerment of young individuals with respect to creating a new venture. In 2003, three groups of young persons aged between 13 and 18 years participated in a program designed for empowerment. An evaluation was conducted nine months later that provided useful insight into the impact of the education design, content and delivery. This research provides deeper insight into the way FI and E education can be used to create empowerment through the derivation of a framework that addresses entry, process and agency factors.

Small household businesses are widespread in Vietnam and are increasingly important for employment and economic growth. However, many are run informally which hinders their growth and harms the country’s economy as well. We utilize logistic regression based on the 2017 Economic Census and 2022 field survey data of formalized firms in Ho Chi Minh City. The size of the household business, use of information technology and revenue transparency influence the intention to convert household businesses into formal enterprises. The transition process can be complicated by various factors such as a household business owner’s unpreparedness, concerns about complications, fear of higher tax payments, limited internal resources, uncertain economic benefits and management regulations that are unsuitable for sole proprietorships.

In recent years, one of the most popular topics is the entrepreneurial innovation all over the world. Especially, in Vietnam, one of the main factors to value the success of enterprise is the entrepreneurial innovation. However, in ASEAN, compared with Malaysia and Singapore, the entrepreneurial innovation index of Vietnam is much lower. Besides this, government in Vietnam was not paying attention to start-up activities. As a result, this paper focuses not only on identifying the difficulties related to the entrepreneurial innovation but also examining the current situation of supporting the entrepreneurial innovation in Vietnam. Last but not least, this paper will provide some possible recommendations to develop the entrepreneurial innovation in Vietnam.

The development of science and technology (ST) and information and communication (IC) has positively affected countries socioeconomically. The aim of this study is to explore the impact of social investment in IC and ST on the output growth of enterprises in different industries. The study focuses on enterprises in 77 Tier-2 industries in Vietnam and is divided into three samples: industry and construction, services, and overall data for the period 2008–2019. The chosen estimator is the panel generalized method of moments (GMM). The results were checked for robustness via comparison with the panel least squares (LS) method. The results confirm that business capital and labor are still the two basic inputs that determine the output value of enterprises. However, social investment in IC and ST also plays a significant role. Different roles of explanatory factors for output value were also found between enterprises in two economic sectors: the industry and construction sector, and the service sector. Enterprises in industry and construction benefit more from society’s investment in IC and ST than enterprises in the service sector.

Support Vector Machines (SVMs) methods have become a popular tool for predictive data mining problems and novelty detection. They show good generalization performance on many real-life datasets and they are motivated theoretically through convex programming formulations. There are relatively few free parameters to adjust using cross validation and the architecture of the SVM learning machine does not need to be found by experimentation as in the case of Artificial Neural Networks (ANNs). We discuss the fundamentals of SVMs with emphasis to multiclass classification problems and applications in science, business and engineering.

The demand forecasting of human resource is a very important work of the enterprise human resource management. Aiming at the complex influence factors, non-linearity, low precision of usual forecasting methods, influence factors of human resource structure forecasting are analyzed, the forecasting method based on the artificial neural network is proposed, and then a 6×18×18×12×3 BP network forecasting model is established. A fastest descent method with an additional momentum item of variable step length is adopted to adjust network weights. The forecasting model is trained by using the enterprise's correlative data as its inputs and outputs, and the parameters are determined finally. The test results indicate that the forecasting error of the forecasting model based on the artificial neural network is less than 5%, it is of high accuracy, wide scope of application, self-learning and adaptive capacity and so on.

Through the use of uncertainty theory, this paper presents extensions to the Center of Gravity Method and the Transport Method to the efficient determination of an enterprise location. The proposal recommends the exact location of an enterprise that guarantees for it to be more competitive in the global markets, using its location as a management strategy.

Research includes description of digital manufacturing, main methods of digital manufacturing creation and modeling of influence of digital technologies to environmental friendliness and safeness. Realization of the principles of digital production consists in organic connection of breakthrough information and production technologies for ensuring essentially new values of indicators of efficiency of the enterprises. Introduction of ideology of digital production in activity of the enterprises has to lead to emergence of so-called virtual productions. Virtual production is a form of merger of the enterprises and organizations participating in creation of a product at various stages of its life cycle. Digital production has to increase the level of competitiveness of production as well as environmental safety of the factory.

In this paper, in order to improve enterprise's financial management as the subject, from the perspective of enterprise financial management to develop in the direction of refinement, analysis of the current problems existing in the financial management, discusses the main ways to achieve fine financial management goal, and the development trend in the future, to provide some references for enterprise's financial management innovation.