Core Enterprise Research Articles

Evolutionary Game Analysis of Green Supply Chain Management Diffusion under Environmental Regulation

The continuous deterioration of the ecological environment and the increasing scarcity of resources have posed a serious challenge to the survival and development of human beings, and the implementation of green supply chain management (GSCM) in this context is an effective means to ensure the sustainable development of society and the economy. In order to seek the optimal strategy of evolutionary game in the implementation of green supply chain management and explore the influence of environmental regulation intensity and public preference degree on the evolution process of green supply chain management diffusion development, this paper takes the study of green supply chain management diffusion as the core innovation point, and under the premise of environmental regulation, selects the government, the core enterprise, and the public as the participating bodies of green supply chain management diffusion, and uses the theory of evolutionary game to construct a diffusion model of green supply chain management. Using evolutionary game theory to construct a diffusion model, and with the help of MATLAB and other mathematical tools for numerical simulation analysis, we discuss the diffusion of the green supply chain and derive the optimal combination strategy. The results of the study show that: (1) there are four evolutionary stable states in the process of green supply chain management diffusion: preliminary diffusion, extinction, semi-diffusion, and full diffusion; (2) it will be beneficial for the government to promote the evolutionary diffusion of green supply chain management by implementing a higher intensity of pollution tax policy while implementing green supply chain incentive strategies; (3) the government, while implementing environmental regulation policies, should also pay attention to the guidance of the public’s awareness of environmental friendliness and greenness, and focus on the role of the comprehensive strategy selection of the three parties of the game in reaching the optimal state. The conclusions of the study provide theoretical guidance and decision support for the implementation and diffusion of green supply chain management under environmental regulation.

Sustainable Development of the Real Economy: Supply Chain Finance and Enterprise Financialization

Supply chain finance, as an important financial instrument supporting the sustainable development of the real economy, has attracted significant attention. In this paper, research is conducted on 3181 non-financial listed enterprises in the A-share market in China from 2012 to 2021. Multiple regression analysis is adopted to examine the relationship between supply chain finance and enterprise financialization, as well as the impact of the former on the latter and the underlying mechanisms at play. The research findings indicate that the supply chain finance model, led by core enterprises, tends to exacerbate enterprise financialization in China. The significant resource dependence of small- and medium-sized enterprises (SMEs) on core enterprises acts as a moderating variable for supply chain finance and enterprise financialization. This dependence amplifies the stimulus of supply chain finance on the “financialization” of enterprises, demonstrates a pronounced moderating effect within state-owned enterprises, and strengthens over time when the core enterprises possess information advantages. The findings articulated herein contribute to the scholarly discourse, offering insights into the improvement of supply chain finance and the advancement of the real economy’s sustainable development via financial services. A good supply chain finance model should align with the requirements for the development of China’s real economy. It should provide not only financial assistance to enterprises but also foster a virtuous cycle within the industrial chain and encourage industrial production over financial investment.

Blockchain-Enabled Utility Optimization for Supply Chain Finance: An Evolutionary Game and Smart Contract Based Approach

In recent years, blockchain technology has attracted substantial interest for its capability to transform supply chain management and finance. This paper employs evolutionary game theory to investigate the application of blockchain in mitigating financial risks within supply chains, taking into account the technology’s maturity and the risk preferences of financial institutions. By modeling interactions among financial institutions, small and medium enterprises (SMEs), and core enterprises within the accounts receivable financing framework, this study evaluates blockchain’s impact on their decision-making and its efficacy in risk reduction. Our findings suggest the transformative potential of blockchain in mitigating financial risks, solving information asymmetry, and enhancing collaboration between financial entities and SMEs. Additionally, we integrate smart contracts into supply chain finance, proposing pragmatic procedures for their deployment in real-world contexts. Via a detailed examination of blockchain’s maturity and financial institutions’ risk preferences, this research demonstrates the primary determinants of strategic decisions in supply chain finance and underscores how blockchain technology fosters system stability using risk mitigation. Our innovative contribution lies in the design of smart contracts for the ARF process, rooted in blockchain’s core attributes of security, transparency, and immutability, thereby ensuring efficient operation and cost reduction in supply chain finance.

Profit-driven fusion framework based on bagging and boosting classifiers for potential purchaser prediction

Accurately identifying potential purchasers (PPers) is pivotal for enhancing an enterprise's core competitiveness in a competitive market. Although existing research focused on individual classifiers for PPer prediction, there is a notable gap in the integration of the bagging and boosting algorithms, resulting in suboptimal performance. This study introduces a novel fusion framework for profit-oriented PPer prediction that combines the strengths of the bagging (specifically, random forest, RF) and boosting (utilizing categorical boosting, CatBoost) algorithms. CatBoost replaces the original base learner in RF, leveraging the advantages of both classifiers to reduce the variance and bias. To optimize the proposed RF-CatBoost-based fusion framework for profit maximization, we employ a grid search to fine-tune hyperparameters. This approach aligns with enterprises' profit-driven objectives. The experimental results, statistical tests, and Bayesian A/B tests collectively demonstrate that the proposed framework outperforms all comparative classifiers, yielding the highest profits. Furthermore, an interpretability analysis reveals the significant factors influencing the prediction results, providing valuable insights for decision makers in identifying PPers within customer groups.

Research on Apple's Marketing Strategy

With the rapid development of science and technology, electronics continue to emerge, and the market competition is increasingly fierce. Apple, with successful marketing strategies, and strong technical support, emerged among many electronics products, becoming the industry giant. Since Apple launched the App Store, the online application market has been developing rapidly, which not only promotes mobile Internet. The development of the network has changed the revenue structure of mobile value-added services and promoted the re-integration and improvement of the mobile network industry chain. In this stage, how to enter and seize the market better and faster has become the primary problem of Apple. This paper discusses the current market situation of Apple, analyzes the target market selection, and focuses on the main competitive advantages of Apple. Then, by introducing a marketing information management system, a series of marketing channels are organized for Apple and marketing countermeasures. The management system enables to effective implementation of the marketing and promotion plan, as well as evaluation, monitoring, and update of the implementation results in a reasonable and timely manner, laying a good foundation for successful marketing. The work provided valuable advice. Through an in-depth analysis of Apple, people can deeply understand its core competitiveness and enterprise development of the layout of ideas. The paper also provides examples and references for enterprises to optimize their business models.

Construction Practice of Medical Device Product Life Cycle Management Platform

Medical device product life cycle management is one of the core contents of medical device quality management system construction, spanning the entire process of enterprise core business activities including market, research and development, procurement, production, and services. Building a comprehensive and efficient life cycle management system facilitates the implementation of quality management systems. Taking the example of the construction of a unified product life cycle management platform for medical device hardware and software that has been launched and operated, this article describes the general principles and practical experience of constructing a medical device life cycle management platform, including requirements collection, system design, product selection, customization development and confirmation, as well as platform trial, acceptance commissioning, and operation and maintenance management.

Evolutionary game analysis of cooperation strategies for core enterprises of film copyright import and export under China’s supporting policies

PurposeThis paper constructs a tripartite evolutionary game model between the government, the core enterprises of film copyright export and imports and uses the system dynamics model to simulate and find the optimal selection results of single and mixed government incentives under dynamic changes, aiming to promote the development of foreign trade of film copyright and innovation and development of the film industry so as to improve the overall social benefits of the film industry and provide policy enlightenment for enhancing the import power of foreign core enterprises to introduce domestic film copyrights.Design/methodology/approachIn this paper, a tripartite evolutionary game model of the government, the core enterprises of film copyright export and imports is constructed, the evolution process of cooperation strategy is derived, the impact of innovation income coefficient, mixed incentive policy and single incentive policy on the evolution results is analyzed, and the system dynamic model is used to simulate to find the optimal selection results of single and mixed government incentives under dynamic changes, so as to provide reference for the government’s dynamic incentive decision-making.FindingsThe results show that export-oriented core firms are more sensitive to mixed incentives, while import-oriented core firms respond more quickly to single incentives. The large innovation income coefficient has a negative impact on the willingness of import-oriented core enterprises to cooperate. The study proposes measures to increase the willingness of core companies to participate.Research limitations/implicationsDue to the fact that numerical simulation is based on simulation, there may be a certain gap between it and the actual situation. Therefore, it is necessary to further use actual data to conduct empirical analysis on the theoretical model.Practical implicationsThis article mainly focuses on analyzing the impact of strategy choices and related parameters of various entities on the incentive mechanism and studying the foreign trade cooperation strategies of film copyright export enterprises under policy support from a theoretical model perspective. Furthermore, research has proven that in order to effectively enhance the willingness of foreign import core enterprises to participate in the foreign trade of domestic film copyrights, the government needs to coordinate the use of single incentive policies and mixed incentive policies. This study provides a major contribution for policymaker to develop film copyright import and export trade.Social implicationsBased on the research conclusions, this paper puts forward management countermeasures to further improve the development of the film copyright import and export trade. The first is to enrich government incentive methods and stimulate the vitality of film copyright and foreign trade market entities. The second is to guide the core enterprises of film copyright export to increase investment in innovation and stimulate the endogenous driving force of industrial development. Finally, lengthen the foreign trade industry chain of film copyright and increase the income of film derivatives.Originality/valueFirstly, this paper applies the research methods of evolutionary game and system dynamics simulation to the field of foreign trade research on film copyright and expands the research perspectives and methods of the film industry. Secondly, by analyzing the “cost-benefit incentive” relationship of the evolutionary game of government export-oriented core enterprises and importing core enterprises, an evolutionary game model is constructed, the quantitative point of tripartite interest decision-making is solved and the research object of the evolutionary game method is expanded. Finally, the system dynamics model is used to simulate and find the optimal selection results of single and mixed government incentives under dynamic changes, so as to provide reference for the government’s dynamic incentive decision-making.

Research on the Evolution Path of Supply Chain Financing for Small and Medium-sized Enterprises

Information asymmetry is the main reason why it is difficult and expensive for small and medium-sized enterprises to obtain financing. This paper uses the system dynamics method to construct an evolution model of the supply chain financing system of small and medium-sized enterprises, simulates the dynamic changes of the financing amount of the supply chain financing system of small and medium-sized enterprises, and explores the relationship between various influencing factors and their effects on the financing amount. The research shows that the supply chain financing of SMEs is a complex and dynamic system, and the overall financing amount has a significant cumulative effect, and is more sensitive to the solvency of SMEs, the relationship between core enterprises and financial institutions, government support, and the degree of supply chain information sharing. In order to alleviate the financing difficulties of small and medium-sized enterprises, the government should increase support for the supply chain financing of small and medium-sized enterprises, banks and other financial institutions should strengthen the supply chain financing service capabilities of small and medium-sized enterprises, small and medium-sized enterprises should pay attention to the improvement and upgrading of internal management, and the main body of the supply chain should strengthen cooperation and communication.

Research on Partner Selection in Enterprise Innovation Ecosystem

In the face of fierce market competition, enterprises must ensure the competitiveness of their products or services through technological innovation. However, the complexity of technology often surpasses the capabilities of individual enterprises, leading them to deepen cooperation with other organizations. The entities within the enterprise innovation ecosystem depend on each other, collaborate closely, and rely on core enterprises to integrate resources, thereby creating system value and enhancing competitiveness. The purpose of this paper is to explore the process of selecting appropriate ecosystem partners. It begins by providing an overview of relevant concepts, characteristics, selection factors, and methods. Subsequently, it analyzes the roles, resources, and synergy evolution of the entities within the ecosystem. An evaluation system encompassing operation, core, synergy, and development capability is then established. This system comprises 16 indicators, including organization scale and reputation, and is accompanied by a hierarchical evaluation model. Finally, the validity of the evaluation system is confirmed through empirical analysis, utilizing the Analytic Hierarchy Process (AHP) and the fuzzy comprehensive evaluation method.

Hyper-exegesis in Persian translations of the Qu'ran: On the Disjointed Letters as Translational Challenges

AbstractAlthough translation and commentary are often treated as distinct, separable activities in literary and intellectual history, the Persian tradition of Qur'an exegesis demonstrates that they are best understood in relation to each other. Introducing the concept of hyper-exegesis as a mode of interpretation that approximates translation, we examine the dialectical relationship between translation and commentary by focusing on how Persian exegetes have dealt with the so-called “disjointed letters” (ḥurūf muqaṭaʿāt). The disjointed letters inaugurate twenty-nine chapters (sūras) of the Qur'an. We show how six Persian translator-exegetes (the anonymous author of Tarjama-yi Tafsir-I Tabari, Isfarayini, Surabadi, Nasafi, Maybudi, and Razi) used commentary in response to their understanding of the Qur'an's inimitability. Persian translators’ confrontation with the disjointed letters are presented here as a case study of the ways in which translatability and commentary overlap and enrich each other. As a contribution to translation studies and literary theory, this research reveals how untranslatability is situated at the core of the translational enterprise, and how commentary functions as a mode of translating the ineffable.

Exploring pollution control in transboundary watersheds under the perspective of ecological compensation based on aggregate game.

Pollution control in inter-provincial river basins involves many complex subjects, so it is difficult to effectively implement ecological compensation policies. To clarify the interest relationship among pollution control subjects and stimulate their willingness to cooperate in collaborative governance, this paper builds a multi-agent coordinated pollution control model based on the theory of aggregate game; explores the change of equilibrium action of a single pollution control agent and multi-actors, symmetric, and asymmetric situations under the influence of synergistic benefits; and studies the incentive mechanism design to maintain the cooperation of various agents. The research results show that an increase in the number of upstream firms would lead to a reduction in the incentive effects of downstream government compensation and an increase in the likelihood of "free-riding" and "coordination failure." Synergy benefits vary positively with the degree of cooperation between government and enterprises, and higher synergy benefits can effectively compensate for the high transaction costs caused by multiple entities, alleviate the financial pressure on downstream governments, and increase the willingness of upstream and downstream entities to cooperate. In addition, focusing on wastewater reduction from core enterprises, such as heavy polluters can help improve the efficiency of regional emissions reduction, while having a catalytic effect on small enterprises.

Analysis of Regional Competitiveness of China’s Cross-Border E-Commerce

Cross-border e-commerce is a pivotal component of the digital economy, serving as a crucial gauge for regional competitiveness in digital transformation and international trade. This study employs the Groundings-Enterprises-Markets (GEM) model, factor analysis, and the entropy weight method to evaluate the regional competitiveness of cross-border e-commerce in China. Analyzing data from 2018 to 2021 across 31 provinces, municipalities, and autonomous regions, the research assesses competitiveness through basic, enterprise, and market factors. Findings reveal annual improvement in China’s overall cross-border e-commerce competitiveness, yet notable regional disparities persist, with the east outpacing the west. Guangdong Province emerges as a key player and leader when the regions are classified into three tiers. Key factors influencing competitiveness include the digital economy development index, the number of cross-border e-commerce pilot zones, R&D expenditures, cross-border enterprise competitiveness, and core enterprise scale. The study concludes with policy recommendations, emphasizing digital reform, logistics efficiency enhancement, and the promotion of digital technologies.

Evaluating the Economic Sustainability of Two Selected Urban Centers—A Focus on Amherst and Braintree, MA, USA

While the topic of sustainable development has been extensively explored, there is a lack of quantitative assessment of economic sustainability in the scientific literature; moreover, the term is often interpreted with excessive attention to the environment but not socio-economic inequality. In addition, university cities are often considered the most sustainable, although the higher education system in the United States is often criticized for the inequality of access to it among different racial and other groups of the population. This paper adds to the debate about how the concepts of sustainability and economic development relate. Many researchers have noted that they come into conflict with each other because their ultimate goals are fundamentally different: a voluntary limitation of production and consumption in the interests of future generations and, conversely, the pursuit of well-being during our lives. We would like to explore the issue of economic sustainability, which, at first glance, may become a compromise between the two approaches outlined above. So, our study is devoted to exploring the ambiguous concept of economic sustainability, which can add some new knowledge to the understanding of how social, economic, and ecological factors relate to each other in the broader framework of sustainability. For this objective, we analyzed the economic sustainability of the town of Amherst, MA. The city’s top employer and core enterprise is the University of Massachusetts Amherst, with over 32,000 students and almost 2000 staff members. Based on a literature review, a hypothesis was put forward that a university city should have a high level of economic sustainability. To assess economic sustainability, the original methodology based on the US Cities Economic Sustainability Index (USCESI) was developed. It evaluates sustainability in three groups of parameters: society, economy, and ecology. The first group includes the level of racial diversity, the level of education of the population, and the access to medical services. The second group consists of the Gini coefficient by income level, the median cost of housing, and the unemployment rate. The environmental situation is assessed according to the Air Quality Index developed by the US Environmental Protection Agency. For comparison, the town of Braintree, MA, was chosen. As a result of the study, the USCESI was calculated for both locations. The analysis showed that both Amherst and Braintree have a high degree of economic sustainability. However, it was revealed that proximity to a significant economic center has a more powerful positive impact on economic sustainability than the location of a large university. In our paper, we proposed a new methodology for measuring economic sustainability with a special focus on inequality as a major problem in American society. The findings provide new knowledge about university cities and debunk the myth that they represent an exception to the general logic of urban development in the United States. A similar approach, with clarification of statistical indicators and a different emphasis, can be applied to other countries where inequality may be the main threat to economic sustainability, not in terms of access to higher education but in other areas.

Digital empowerment and innovation in risk control strategies for fishery supply chain finance—a case study of Puhui agriculture and animal husbandry financing guarantee company limited

To examine how to innovate the model of financing a fishery supply chain and develop risk control strategies for seafood and aquaculture enterprises in the digital empowerment scenario, this study conducts field research on a leading agricultural enterprise, New Hope Liuhe Company Limited (hereinafter referred to as ‘New Hope Liuhe’) and its subsidiary Puhui Agriculture and Animal Husbandry Financing Guarantee Company Limited (hereinafter referred to as ‘Agriculture and Animal Husbandry Guarantee Co.’), based on business and financial risks from three phases of loan application, loan use, and loan recovery. The study found that New Hope Liuhe optimizes the division of functions among core enterprises in supply chain finance and develops innovative digital risk control strategies using ‘online big data + offline visits’ to effectively control business and financial risks in fishery supply chain finance. Accordingly, this study suggests that seafood and aquaculture enterprises that implement supply chain finance should innovate the model of supply chain finance from the perspective of differentiation of core enterprise functions and continuously innovate the risk control strategies using digital empowerment and big data in fishery operation.

Enhancing trust transfer in supply chain finance: a blockchain-based transitive trust model

AbstractArtificial intelligence and blockchain technology have become indispensable in the era of the digital economy, particularly in the field of financial financing. However, when it comes to supply chain finance (SCF), existing models primarily focus on risk identification and credit evaluation, neglecting the critical aspects of trust transfer continuity and reliability within the chain. To address this issue, this paper proposes a blockchain-based transitive trust model for SCF, which ensures seamless trust transfer from core enterprises to bottom suppliers during financing enterprise credit evaluation. The model utilizes multi-layer metrics to calculate the comprehensive trust value of underlying suppliers, serving as the basis for credit delivery. Additionally, the model stores transitive signature receivable warrants on the blockchain and utilizes splittable delivery of warrants to underlying suppliers. The model’s rationality and correctness are verified through experimental analysis, with results demonstrating that the transitive trust model enhances Small and Medium-Sized Enterprises’ (SMEs) trust at the bottom of the supply chain, thus alleviating financing difficulties for SMEs.

Analysis of supply chain finance development model for SF Holdings: Comprehensive study for SMEs’ financial accessibility

The supply of funds is a very important part of their development. Due to the problems of small and medium-sized enterprises with insufficient credit in banks and fewer mortgageable assets, it is challenging to obtain funds from banks for development and operation. Supply chain finance can help it solve these problems. Supply chain finance focuses on core enterprises, manages the capital flow, logistics and information flow of upstream and downstream small and medium-sized enterprises, and transforms the uncontrollable risks of a single enterprise into the controllable risks of the supply chain enterprise. The risk is controlled in the lowest financial service through three-dimensional access to various information. As the leader of China’s logistics enterprises, SF Holdings has a mature supply chain management system and big data analytics capabilities and has more enterprise information, which can provide related financial services for small and medium-sized enterprises. This paper will study the supply chain finance model of SF Express Holdings, analyze its development and existing problems, put forward corresponding suggestions, and make predictions for its future development and the development of supply chain finance.

Security and Risk Control of Enterprise Supply Chain Finance in the Context of Digital Economy

Abstract The widespread application of new-generation information technologies, such as the Internet of Things (IoT), has brought about significant changes in the operating environments of enterprises and the supply chains in which they operate. At the same time, enterprises aim to maximize profits while minimizing enterprise risks. This paper examines the risk assessment of enterprises in supply chain finance based on the relevant literature review. First of all, after combing and defining the relevant applications of digital technology in enterprise risk prevention and control, a Logistic enterprise risk assessment model under supply chain finance is constructed, and the parameters of the model are optimally selected and estimated for testing. The main factors affecting enterprise risk are analyzed from four dimensions: enterprise, core enterprise, financing asset risk and supply chain-related aspects, and a set of index systems suitable for enterprise risk assessment under supply chain finance is established by using correlation analysis, RF and Lasso regression methods. x3, x4, x5, x6, x7, x9 and x15 are negatively correlated with the enterprise risk, and the gross profit margin and the top five customers’ gross profit margin are negatively correlated with the enterprise risk, while sales and profit margin are negatively correlated with the top five customers’ gross profit margin. The correlation between enterprise credit risk and gross margin and the proportion of sales revenue from the top five customers is positive. The accuracy of prediction of the evaluation model is 93.3%. It can be seen that the proposed logistic assessment model is reasonable and effective, and can be practically applied in the security and risk control of enterprise supply chain finance.

Research on Strategy and Practice of Enterprise Knowledge Management in Network Environment

Abstract The continuous progress of society and the emergence of science and technology have made knowledge management more and more the core and focus of enterprises, which provides constant power for the sustainable development and core competitiveness of enterprises. The article designs the enterprise knowledge management system model from five dimensions: knowledge resource layer, knowledge activity layer, information platform layer, protection mechanism layer and knowledge management system, and analyzes the application mode of enterprise knowledge management by combining the knowledge management execution process. Knowledge embedding and iterative alignment are introduced to build the enterprise knowledge entity alignment model, and the ConvE model and LSTM model are combined to integrate the enterprise’s historical knowledge to build the dynamic knowledge reasoning model. The evaluation index system for enterprise knowledge management capability maturity is designed and combined with the entropy weight method and object element topology method for comprehensive evaluation. The MRR value of the enterprise knowledge entity alignment model was 94.05%, the maximum score of entity and relationship prediction Hits@15 of the dynamic knowledge inference model was 88.64%, and the maximum score of the knowledge management capability maturity score of the sample enterprise was 83.26 points. Relying on multiple types of technology for enterprise knowledge blending, and combined with knowledge management evaluation, to help enterprises better formulate knowledge management systems, thus enhancing their competitiveness.

Digital transformation and enterprise sustainable development

In the context of the digital economy, digital transformation has become an inevitable measure for enterprises to adapt to the market. Based on the panel data of Chinese listed companies from 2012 to 2022, this study examines the relationship between enterprise digital transformation and enterprise sustainable development, as well as the mediating role of enterprise core competence between the two. The study shows that enterprise digital transformation has a significant and positive impact on enterprise innovation capability, indirectly contributing to the sustainable development of enterprises. These conclusions remain valid after the robustness test. The study expands the perspective of enterprise sustainable development research and provides useful reference for promoting China's enterprises to achieve sustainable development under the economic "new normal."

Grounded theory-based analysis of occupational health and safety management modes in supply chain by core enterprises ——evidence from China

The implementation of occupational health and safety management in the supply chain by core enterprises is a significant step towards improving the working conditions of their suppliers. To guide core enterprises to adopt active and effective management modes, it is crucial to identify the characteristics of different management modes and classify them accordingly. This paper employs the grounded theory method to conduct an in-depth analysis of occupational health and safety management modes within the supply chain of core enterprises. This research mainly adopts semi-structured interview method. A total of 16 person-times are interviewed, and 210,000 words of in-depth interview scripts are obtained. After three coding process of the grounded theory，the evolution model of occupational health and safety management modes in supply chain by core enterprises was established. The research results indicate that core enterprises currently employ three modes of occupational health and safety management for their suppliers: defensive mode, passive mode, and strategic mode. Different modes have distinct characteristics in four dimensions of cognition, motivation, strategy and result. This research may provide strategic guidelines for core enterprises to evolve from the defensive mode to the strategic mode.