Enterprise Model Research Articles

Interaction model of forestry enterprises with society and environment

The article presents the results of a study on the interaction between timber enterprises, society, and the environment. Currently, a business's effectiveness is determined by its ability to resolve conflicts between social, environmental, and economic spheres. The purpose of this work was to obtain and substantiate an adequate model of enterprise interaction with society and the environment. The main method used was analysis. Several models were developed to describe the interaction of the studied objects. The text provides a justification for existing conflicts in the work of timber enterprises. The development of technological aspects is proposed as a direction to transition the forest industry to a qualitatively new level of functioning. Several proposed key transformations can contribute to the transition to a balanced interaction model between the enterprise and the environment. The model of interaction between timber enterprises, society, and the environment is developed, highlighting areas for both increase and decrease. The study concludes that a balanced policy, oriented towards achieving sustainable results over time, is necessary for timber enterprises to achieve long-term success. It is important to consider the interests of future generations and the surrounding society, as this approach will only become more important in the future.

A Case For Decision Enterprise Modelling

With emergence of data driven decision making, data analytics and data science, regular as well as ad-hoc decision making has become important. We argue that this requires to model the decisional behaviour of an enterprise as different from its functional behaviour. We propose Decision Enterprise Modelling as a multi-model activity consisting of three models, the Decision Structure Model for modelling business decisions, a Decision logic Model for representing decision logic and a Decision Information Model for the data needed for decision making. We present an example of Decisional Enterprise Modelling for a micro-organization.

The strategy of revitalizing the business model of herbal medicine small enterprises in the post-pandemic era

The jamu (herbal medicine) industry in Indonesia experienced significant expansion during the COVID-19 pandemic. However, subsequent to the abatement of the pandemic, a substantial number of enterprises engaged in jamu production faced insolvency precipitated by a pronounced downturn in demand for herbal remedies. This study aims to identify how a small enterprise responds the market changes in the post-pandemic market and how to build new strategies based on the changes. Focusing on an Indonesian jamu small enterprise, namely AIG Bunda Nisa, this study implemented a qualitative longitudinal case study design based on nine aspects of the business model canvas (BMC) including customer segments, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partners, and cost structure (Toro-Jarrín et al., 2016). The SWOT analysis was conducted to formulate the most suitable strategy to be applied to each aspect of BMC. The results showed that most aspects have attack and improve strategy. Concentration on the proficient management of extant organizational assets and the optimization of the role of social media are the suggested actions for AIG Bunda Nisa to survive in the post-pandemic era. The strategies proffered may serve as viable alternatives and sources of inspiration for similar enterprises with commensurate circumstances.

Designing the leadership model for knowledge-based enterprises via mixed research methodology

Designing the leadership model for knowledge-based enterprises via mixed research methodology

Retrospective analysis of business models classification in accordance with sustainable mobility

The article raises a controversial topic of classifying business models of contemporary enterprises and justifies the necessity of their transformation, considering the factor of sustainability. The author analyzes various definitions of business models and proposes their own approach to interpretation. The article provides a traditional classification of enterprise business models, as well as the results of the author's scientific research in the field of sustainable economic growth. The paper highlights the advantages of platform-based business models over traditional models in terms of determining sustainability. It has developed a classification of digital enterprise business models based on various criteria and formulated the main directions for further development and improvement.

Research on the Financial Credit Risk Management Model of Real Estate Supply Chain Based on GA-SVM Algorithm: A Comprehensive Evaluation of AI Model and Traditional Model

By combining machine learning AI model with traditional credit risk measurement model, this paper aims to more accurately measure the credit default risk of real estate enterprises. Through professional credit management knowledge, the integration of these two models can fill the gaps of traditional models outside of financial data, and use the research experience of traditional models in the financial field to provide guidance for machine learning. This paper focuses on the key issues of capital intensity, exploration of Supply Chain Finance Growth and Credit Risk Control within the Real Estate Sector. By combining qualitative and quantitative methods. Through literature research and empirical analysis, this paper develops a supply chain finance credit risk assessment index system tailored for small and medium-sized enterprises operating in China's real estate sector. The index system comprises 23 risk assessment indicators, and comprehensively considers many factors such as corporate financial status and market environment. Then, a credit risk assessment model for small and medium-sized real estate enterprises is developed from a supply chain finance perspective, utilizing genetic algorithm optimization for Support Vector Machine (GA-SVM)., and the advantages of this model compared with the traditional model in accuracy and generalization ability are verified through comparative analysis of experiments. The research results can help reduce the information asymmetry in the real estate industry, enhance the credit rating evaluation process for small and medium-sized enterprises, and furnish references to aid commercial banks in credit and credit risk management within the real estate supply chain finance sector.which has important theoretical and practical value.

The Business Models of Frugal Enterprises for Sustainable Development in a Constrained Environment

The Business Models of Frugal Enterprises for Sustainable Development in a Constrained Environment

Strategic Analysis of Informatization of International Trade Enterprises’ Economic Management Models Based on Game Theory Models

Abstract Exploring the economic management models of international trade enterprises, this research highlights the significant role of informatization strategies informed by game theory. Through the prism of game theory, we analyze the interplay among various stakeholders, including risk takers, managers, and executors. Our study reveals that appropriate risk-taking can drastically lower operational risks. A case in point is Company A, which witnessed a notable improvement in financial stability, with its Z-score rising from 2.6785 in 2005 to 4.6314 in 2022. As theAnalysis shows, effective risk management plays a pivotal role in boosting economic efficiency, evident through enhanced total asset turnover and gross operating margins. This study underscores the utility of a game theory-based economic management model in improving risk management and financial efficiency, thereby advancing the implementation and refinement of informatization strategies within enterprises.

Research on the Application of HRBP Model in Chinese Enterprises

Research on the Application of HRBP Model in Chinese Enterprises

Economic model of power generation enterprise

These days the economic system of any scale faces a challenge not only to best meet the needs of consumers, but also to ensure their comfortable living conditions (especially agricultural), that is, preserve the environment and use natural resources wisely. Power generation enterprises make a significant contribution to the violation of the environmental situation. This is partly due to the alienation of territories that could be used for other human activities, as well as significant emissions into the atmosphere. A power generation enterprise, compared with organizations of other types of activity, is characterized by the method of generating electricity which implies not the impact on the material and raw materials and the production of economic benefits, but the conversion of natural energy into electrical energy. These models are of a general abstract nature and are more applicable to organizations producing tangible economic benefits, rather than the generation of electrical energy, which is the key economic benefit, though, conventionally tangible one. Existing microeconomic models do not show specifics of their functioning – the scale of the enterprise and the conditions for profit maximization. The economic models of a power generation enterprise, the specifics of its functioning and profit-making are presented in the article.

DEVELOPING A VALUE ENGINEERING MODEL FOR A STATE-OWNED ENTERPRISE

In this study, a value engineering model for state-owned enterprises was developed using a mixed-method approach, focusing on a South African state-owned enterprise. Key findings highlighted that strong management support, a supportive value engineering culture, an effective value engineering methodology, and an efficient value engineering team are vital enablers for successful value engineering implementation in state-owned enterprises. The study further emphasised the importance of recognising differences between state-owned enterprises and private organisations, as they require tailored value engineering approaches. In addition, the research explored factors influencing value engineering success, identified state-owned enterprise specific barriers, and provided recommendations. These findings offer unique insights into state-owned enterprises, aiding decision-makers, managers, and practitioners. Applying the model and recommendations can enhance state-owned enterprise performance, efficiency, and value realisation.

Employee Training Needs and Implementation Models for Rural Small and Medium-sized Enterprises in Yunnan Province

Employee Training Needs and Implementation Models for Rural Small and Medium-sized Enterprises in Yunnan Province

The specifics of the functioning of Ukrainian enterprises under martial law

In the conditions of martial law, Ukrainian enterprises face numerous challenges that require prompt adaptation and effective management. This article explores the specifics of business operations in Ukraine during military operations, analyzing the main problems faced by businesses and the strategic approaches that allow them to remain competitive. The article highlights aspects such as adaptation to changes in the market environment, ensuring the safety of workers, maintaining supply chains, financial sustainability, and the use of new technologies. The main aim of the research is to identify the key success factors for Ukrainian enterprises in wartime conditions and to develop recommendations for their further development. Using methods of quantitative and qualitative analysis, the authors conducted research based on data collected from different regions of Ukraine, including the areas that suffered the greatest destruction. The study found that the main success factors are flexible management decisions, innovative business approaches, and the active use of digital technologies. The article also examines the role of government support and international cooperation in ensuring the stability and development of Ukrainian enterprises. The findings of the research can be useful for business managers, policymakers, and researchers dealing with issues of business under crisis conditions. The study underscores the significant impact of military conflicts on the economy and the threats they pose to the existence of enterprises, which are the foundation of the country’s economic well-being. Furthermore, the article emphasizes the need to create effective risk management mechanisms and the development of recovery strategies for the post-conflict period. It also discusses examples of successful adaptation strategies that can serve as models for other enterprises in similar conditions. Thus, this research provides a comprehensive overview of the current state of Ukrainian business under martial law, emphasizing the importance of rapid adaptation and strategic planning for ensuring sustainability and development.

Study on the Promotion of Green Financial Reform and Innovation on Enterprise Sustainable Development Capability in Low-Carbon Economic Development Based on Statistical Modeling

Abstract Green financial reform and innovation attempts to combine the two core principles of green development and innovation-driven to promote the sustainable development of enterprises. This paper adopts the synthetic control method to establish the experimental and reference groups according to whether the study area is a pilot area for green finance reform. According to the research theory, the indicators affecting the sustainable development of enterprises are selected, and the changes in the indicators of the experimental group before and after the green financial reform and innovation are compared and analyzed. Based on the Mean Difference value and Median Difference value, determine the role of green finance in influencing the sustainable development of enterprises. The parallel trend hypothesis test is carried out to verify the feasibility of the double difference model setting. Construct the mediation model for green lending and enterprise R&D investment to promote sustainable development within enterprises in the context of green finance reform and innovation. The regression results show that the coefficient of the double difference interaction term Treati * Aftert is 0.2653, which passes the significance test at the 1% level. The mediation model, after adding all control variables and three fixed effects, has a double difference term coefficient of 0.0876. After removing irrelevant factors, it further indicates that the implementation of the green financial pilot zone policy can promote the green technological innovation of enterprises to a certain extent and that the green financial pilot zone policy plays a significant role in the promotion of sustainable transformation of enterprises.

Learning Process Model of Community-Based Enterprises for Sustainability: A Case Study of Urban Communities in Bangkok

Learning Process Model of Community-Based Enterprises for Sustainability: A Case Study of Urban Communities in Bangkok

ВЛИЯНИЕ ЭЛЕКТРОННОЙ КОММЕРЦИИ НА КОНКУРЕНТОСПОСОБНОСТЬ ПРЕДПРИЯТИЙ

Due to the rapid development of the network economy, the use of the Internet and communication technologies (ICT) is becoming increasingly widespread, which makes it one of the most important development trends over the past few decades. The Internet and related technologies have a great impact on the operating model of e-commerce enterprises. Internet technologies and e-commerce provide businesses with new opportunities to compete in the global market and play an important role in the global economy. Although researchers have conducted various landmark studies in the field of e-commerce, this study will propose a theoretical model to make e-commerce development competitive based on an analysis of four levels of the global e-commerce environment. This model contains four levels of analysis: company level, industry level, national level and global level.

СТРАТЕГИЯ «ЗЕЛЕНОЙ» РЕИНДУСТРИАЛИЗАЦИИ: УПРАВЛЕНЧЕСКИЕ И ФИНАНСОВЫЕ АСПЕКТЫ

The article discusses the arguments related to the financial features of managing "green" industrial reindustrialization. The stages of evolution of business models of industrial enterprises within the framework of transition to sustainable development and technological sovereignty of the Russian Federation are described. The concept of "green" industry is interpreted, and its essential characteristics are revealed. The dynamics of changes in the eco-investment index values is presented and the forecast of the use of energy efficiency technologies in certain sectors of the Russian industry in the period 2021-2023 is presented. The paper discusses the results of the implementation of "green" renewable energy projects and the introduction of industrial eco-technologies by Russian oil and gas companies in the context of Russia's adoption of the updated Climate Doctrine. The article offers an interpretation of the volume of budget allocations for decarbonization, the development of alternative energy sources and the transition to a closed-loop economy in the draft Federal Budget of the Russian Federation for 2024 and the planning period 2025-2026 in the context of state programs and federal projects. The main directions of industrial policy within the development of the strategic scenario for the "green" reindustrialization of the Russian economy are proposed.

Building strategic innovation model for small and medium enterprises of Malaysia: inclusion of a holistic philosophy

Building strategic innovation model for small and medium enterprises of Malaysia: inclusion of a holistic philosophy

Evolutionary analysis of green credit and automobile enterprises under the mechanism of dynamic reward and punishment based on government regulation

To explore the green development of automobile enterprises and promote the achievement of the “dual carbon” target, based on the bounded rationality assumptions, this study constructed a tripartite evolutionary game model of government, commercial banks, and automobile enterprises; introduced a dynamic reward and punishment mechanism; and analyzed the development process of the three parties’ strategic behavior under the static and dynamic reward and punishment mechanism. Vensim PLE (Personal Learning Edition) was used for numerical simulation analysis. Our results indicate that the system could not reach a stable state under the static reward and punishment mechanism. A dynamic reward and punishment mechanism can effectively improve the system stability and better fit real situations. Under the dynamic reward and punishment mechanism, an increase in the initial willingness of the three parties can promote the system stability, and the government can implement effective supervision by adjusting the upper limit of the reward and punishment intensity. Finally, the implementation of green credit by commercial banks plays a significant role in promoting the green development of automobile enterprises.

Construction of Financial Risk Analysis and Early Warning Model for Information Technology Enterprises Based on Complex Networks and LightGBM

Against the backdrop of the rapid rise of the information technology industry and the era of big data, enterprises are facing increasingly complex and diversified financial challenges. These challenges cover the acceleration of technological updates, the increase in financial pressure, as well as the increasingly fierce market competition and uncertainty in financial markets. These factors collectively drive a deeper and more refined demand for financial risk management. In this context, building a model that can accurately predict financial risks has become crucial. By integrating complex network theory and lightGBM algorithm, it is possible to gain a more comprehensive insight into the interrelationships and risk factors between enterprises, thereby improving the accuracy and timeliness of financial risk prediction. This model not only helps enterprises detect potential financial risks in a timely manner, but also provides effective warning and response strategies, thereby enhancing the risk control ability and operational stability of the enterprise. This study is of great significance for risk management in information technology enterprises and the entire industry, and also provides useful ideas and methods for further optimizing future financial risk prediction models.