Core Enterprise Research Articles

Cooperation mode selection strategies in platform ecosystems: analyzing brand value, cross-selling, and platform empowerment

Purpose This paper aims to investigate the vertical cooperative relationship between the core enterprise and the manufacturer within the platform ecosystem, specifically analyzing the optimal decision-making processes of both parties under the original equipment manufacturer (OEM) and original brand manufacturer (OBM) modes. Design/methodology/approach This paper uses game theory to analyze the problem, considering factors such as brand value difference, cross-selling and platform empowerment. It constructs the game models for both OEM and OBM modes and discusses the selection strategies for the cooperation mode. Findings The results indicate that the choice of cooperation mode by the manufacturer and the core enterprise depends on the relative size of their brand values. In cases of inconsistent choices, cooperation can be improved by designing a transfer payment contract. When the brand value is constant, the product price is comprehensively affected by cross-selling revenue, price elasticity coefficient, cost coefficient of sales effort and cost coefficient of platform empowerment. The enterprise reduces the price only when the potential revenue brought by increasing product sales exceeds the marginal profit brought by increasing product pricing; otherwise, it raises the sales price. Originality/value The platform ecosystem is emerging as a future direction for business mode development. However, there is a paucity of research on the cooperation modes between manufacturers and core enterprises within the platform ecosystem.

Evaluating Corporate Competitive Advantages Through Managerial Economics

This paper conducts an in-depth analysis of enterprise core competitiveness from the perspective of managerial economics. First, it elaborates on the concept and connotation of enterprise core competitiveness, pointing out that core competitiveness is the source of maintaining long-term competitive advantage for enterprises. Second, from the perspective of managerial economics, it explores the formation mechanism and influencing factors of enterprise core competitiveness, such as enterprise resources, capabilities, knowledge, and management, and analyzes the relationship between enterprise core competitiveness and performance. Finally, it proposes strategic suggestions for enhancing enterprise core competitiveness. The research in this paper aims to provide theoretical support and practical guidance for enterprises to understand, cultivate, and improve their core competitiveness.

Sustainable Operation and Management of a Dynamic Supply Chain under the Framework of a Community with a Shared Future for Mankind

The values of a community with a shared future for mankind include the views of common interests, sustainable development, and global governance. This article will fully consider introducing the value concept of a community with a shared future into the operation and management of dynamic supply chains. Based on the optimal information fusion mechanism of artificial intelligence, this article aims to examine the operation and management of dynamic supply chains within the framework of a community with a shared future for mankind. The core idea is to consider the common interests among enterprises, establish a global collaborative operation concept for upstream, midstream, and downstream enterprises, and achieve the goal of sustainable development. Firstly, a type of composite dynamic supply chain model is considered, in which the total inventory of each node in the supply chain is further subdivided into raw material inventory and finished product inventory. At the same time, we have considered factors such as the signing of procurement contracts between core enterprises and upstream enterprises, as well as the signing of supply contracts between core enterprises and downstream enterprises. Secondly, the static and dynamic monitoring information of the enterprise has been established. We use steady-state Kalman filtering theory to obtain dynamic reference signals for upstream enterprises, core enterprises, and downstream enterprises. Based on the optimal information fusion processing mechanism of artificial intelligence, the coefficient weighting method is used to obtain the optimal fusion signals of upstream enterprises, core enterprises, and downstream enterprises. Once again, through high-quality switching strategies, enterprises can achieve in-order switching, improve production efficiency, reduce downtime, enhance their competitiveness and responsiveness, and transform the dynamic supply chain, including order switching, into a discrete-time linear switching system for processing. Fourthly, sufficient conditions, robustness analysis results, and inventory control criteria for the solvability of dynamic supply chain H∞ with order switching are provided. Finally, data analysis is conducted using historical order information from three fruit companies to verify the validity and feasibility of the conclusions in this article and to improve the performance of the dynamic supply chain system. The research findings of this article enrich the exploration of the operation and management of dynamic supply chains and the construction of a community with a shared future for mankind.

Research on the Game Strategy of Mutual Safety Risk Prevention and Control of Industrial Park Enterprises under Blockchain Technology

Systematic management of corporate safety risks in industrial parks has become a hot topic. And risk prevention and control mutual aid is a brand-new model in the risk and emergency management of the park. In the context of blockchain, how to incentivize enterprises to actively invest in safety risk prevention and control mutual aid has become a series of key issues facing government regulators. This paper innovatively combines Prospect Theory, Mental Accounting, and Evolutionary Game Theory to create a hypothetical model of limited rationality for the behavior of key stakeholders (core enterprises, supporting enterprises, and government regulatory departments) in mutual aid for safety risk prevention and control. Under the static prize punishment mechanism and dynamic punishment mechanism, the evolutionary stabilization strategy of stakeholders was analyzed, and numerical simulation analysis was performed through examples. The results show: (1) Mutual aid for risk prevention and control among park enterprises is influenced by various factors, including external and subjective elements, and evolves through complex evolutionary paths (e.g., reference points, value perception). (2) Government departments are increasingly implementing dynamic reward and punishment measures to address the shortcomings of static mechanisms. Government departments should dynamically adjust reward and punishment strategies, determine clearly the highest standards for rewards and punishments, and the combination of various incentives and penalties can significantly improve the effectiveness of investment decisions in mutual aid for safety risk prevention and control. (3) Continuously optimizing the design of reward and punishment mechanisms, integrating blockchain technology with management strategies to motivate enterprise participation, and leveraging participant feedback are strategies and recommendations that provide new insights for promoting active enterprise investment in mutual aid for safety risk prevention and control. The marginal contribution of this paper is to reveal the evolutionary pattern of mutual safety risk prevention and control behaviors of enterprises in chemical parks in the context of blockchain.

Financing options for logistics firms considering product quality loss

Purpose This paper aims to investigate the impact of quality loss in transit on e-commerce supply chain pricing, production and financing decisions. Design/methodology/approach The authors consider a Stackelberg game model with a supplier, logistics firm and e-commerce platform. The logistics firm is capital-constrained and obtains funding from the e-commerce platform by debt financing or equity financing. Through backward induction, this paper first solves the equilibrium results under the two financing schemes and then reveals the financing preferences of all parties. Findings The results demonstrate that equity financing reduces financing costs and promotes production significantly. However, it may also lead to overproduction, particularly in markets with poor profitability and high cost factors. When the percentage of product quality loss is large, equity financing is preferable. With the increasing of transportation level, the benefits of debt finance are steadily growing. In addition, equity financing is the Pareto dominant scheme for all firms under certain circumstances. The extensions consider hybrid financing and another quality loss type. Practical implications The paper derives the equilibrium solutions and financing preferences, then specifies the threshold for applying financing schemes. Provide guidance for logistics firms’ finance model innovation and core enterprise involvement in the logistics industry. Originality/value The paper investigates how logistics firms’ financing strategies are impacted by product quality loss.

Balancing core enterprises’ TBL challenge: considering the involvement of NGO

In light of the triple bottom line(TBL) challenges of the core enterprise to promoting supply chain, we examine how non-governmental organization(NGO)’s involvement influence on the motivation and decision-making of core enterprises in supply chains. In order to distinguish the difference of price leadership level of core enterprises in the industry, we analyse the equilibrium results when the price of a unit product is endogenous and exogenous. We find that the core enterprise considering NGO involvement may sets a higher price but make lower eco-effort. We further determine which feature of the market is the least affected by NGO and which feature of the core enterprise has the most motivation to lead in sustainable innovation. Using numerical examples, we further extend our results by differentiating the diverse types of core enterprises as a market player. We find that a hybrid market composed of multi-players appears to have more certainty in green policy and the market for myopic core enterprises remains a challenge. We provide decision-making implications for core enterprises to operate green supply chains and contribute further knowledge in terms of collaborative sustainable governance to balance the TBL challenge. We hope to provide further insights into the link between the operation of supply chains and the public involvement of NGO and consumer.

Does digitalization always benefit cultural, sports, and tourism enterprises quality? Unveiling the inverted U-shaped relationship from a resource and capability perspective

The impact of digitalization on the high-quality development of “technology-sparse” but “labor-intensive” cultural, sports, and tourism enterprises may not follow a linear path. Therefore, there is an urgent need to explore the mechanism by which digitalization contributes to the integrated high-quality development of enterprises from the perspective of resources and capabilities. The majority of studies focus on the theoretical realm, while challenges in acquiring crucial data indicators constrain the advancement of empirical inquiries. This study creates a lexicon of digitized features encompassing strategic, technical, and application layers within cultural, sports, and tourism enterprises. The MD&A texts from annual reports were processed using the TF-IDF algorithm, which is based on machine learning, to assess the level of digitization. Additionally, integration development was incorporated into the evaluation system for high-quality development of cultural, sports, and tourism enterprises via social network analysis. In terms of theoretical contributions, enterprise search and reorganization capabilities were included within the scope of core enterprise capabilities. Furthermore, the study elucidated the roles of human capital and enterprise innovation in the interplay between digitalization and high-quality development, drawing upon the resource-based view and core capabilities theory. Finally, we empirically examined panel data from 116 listed cultural, sports, and tourism companies in Chinese A-share markets from 2010 to 2020. The findings reveal the following: (1) There is an inverted U-shaped association between digitalization and high-quality development, initially promoting then hindering progress, with a persistent pattern over time and robustness against instrumental variable regression and endogeneity tests. Additionally, the majority of cultural, sports, and tourism enterprises fall within a moderate range, indicating a positive impact on high-quality development. (2) Human capital and enterprise innovation are mediators of the inverted U-shaped relationship between digitalization and high-quality development. (3) The influence of digitalization on high-quality development significantly varies depending on the enterprise’s geographical location, life cycle, and risk tolerance. The study reveals the digitalization journey within cultural, sports, and tourism enterprises, offering theoretical insights for fostering collaborative high-quality development within the industry amid digitalization.

Impact of supply chain finance on the business risk of core enterprises: evidence from China

PurposeThis study aims to explore the relationship between supply chain financing (SCF) and the business risks of core enterprises, the economic value of SCF for core enterprises and the motivation for core enterprises to participate in SCF. The authors also examine the mediating effects of financing constraints.Design/methodology/approachThis study analyzes the panel data of 393 companies listed on the main board of the A-share market in China from 2011 to 2014 using fixed-effect and intermediary-effect models.FindingsThe development of SCF in core enterprises can significantly reduce business risk by alleviating financing constraints.Research limitations/implicationsThe study sample is from China’s A-share market, which may limit the ability to generalize results. The indicators used to measure SCF primarily consider commercial credit, which may have affected the accuracy of the study.Practical implicationsThis study provides a new basis for core enterprise managers in the manufacturing sector to conduct SCF and control business risks. SCF with small and medium-sized upstream and downstream enterprises can reduce business risks and enhance competitiveness, especially under financing constraints.Originality/valueThis study focuses on core enterprises, a topic less explored in academia. It examines the impact of SCF on their performance and the mediating role of financing constraints. This study offers a novel perspective on the SCF transmission mechanism of supply chain finance and provides new insights for core enterprises.

Financing and operational strategies for supply chains with yield uncertainty and capital constraints

Facing yield uncertainty is a common phenomenon that corporations encounter in their production and operations processes, especially small and medium-sized enterprises (SMEs). It is a challenge for SMEs that also have capital constraints, and thus financing from supply chain members or commercial banks is the normal way to improve the efficiency of supply chain operations. We consider a supply chain finance system consisting of an SME, a core enterprise (CE), and a bank, in which the SME is capital-constrained and faces productivity yield uncertainty. Therefore, the SME may use two financing sources to support his production: financing or advance payment from the CE. In the presence of bankruptcy risks for the SME, we model their strategic interaction as a Stackelberg game with the CE as the leader. We design the framework for the order penalty contract and derive the optimal strategies that include the planned production quantity decision of the SME and the pricing decisions of the CE under the two financing sources. We find that from the SME’s perspective, he will always prefer advance payments from the CE to bank financing. Furthermore, we propose a framework for partial credit guarantees. When it is difficult for banks to evaluate the credit history of SMEs, CEs provide guarantees to banks for financing SMEs. The analytical methods and numerical results provide decision-making methods and suggestions for production planning of the SME and wholesale prices formulated by CE.

Optimalisasi Sistem Operasi Windows Agar Pengguna Memanfaatkan Layanan Lingkungan Cloud Dan Edge Computing

Optimizing Windows-based operating systems for databases in Cloud and Edge Computing environments is very important to increase data management efficiency and performance. In this study, we discuss ways to optimize Windows in both environments. In the Cloud environment, the main focus is on data management using services such as Google Drive, while in the Edge environment, optimization is carried out using Windows IoT Core and Windows IoT Enterprise. Of these two, we optimize Windows IoT Enterprise more because it is more directed towards Edge computing. Our research results show that by implementing the right optimization and efficient performance results, database performance can be significantly improved, which provides great benefits for individual users and society

How to Reshape the Selection Boundaries between Traditional and Digital Supply Chain Finance Based on the Pledge Rate and Default Loss: Two Tripartite Game Models

The development of digital technologies such as blockchain has provided new possibilities for solving the financing difficulties of small and medium-sized enterprises (SMEs). In order to explore the mutual influence of the participants in the supply chain, this paper constructs two static tripartite game models for traditional and digital supply chain finance, including a small and medium-sized enterprise (SME), a core enterprise (CE), and a financial institution (FI). The conditions for SME, CE, and FI to participate in digital supply chain finance, and the equilibrium strategy (repayment, repayment, loan) after participating in digital supply chain finance, are figured out. It is found that compared with the traditional supply chain, the digital supply chain expands the probability range of repayment for SME and CE by the change of pledge rate and default loss and broadens the probability range of repayment for CE by the change of default loss. Further, compared with the traditional supply chain finance, the greater the pledge rate of digital supply chain finance and the smaller the default loss, the stronger the willingness of the SME and CE to participate in the digital supply chain and the lower the willingness of the FI. After the three parties participate in the digital supply chain, however, the conclusion is the opposite. The smaller the pledge rate and the greater the default loss, the stronger the repayment willingness for the SME and CE and the stronger the loan willingness of the FI. Therefore, it is suggested to find the critical values of pledge rate and default loss and raise these two variables to an appropriate range to encourage all parties to voluntarily and consistently participate in digital supply chain financing.

Automatic blockchain network configuration and optimisation for credible and authorised data sharing in social manufacturing networks

The management of social manufacturing networks (SMN) faces sophisticated situations due to the customer's personalisation demands, leading to reduced trust among entities. Therefore, credible and authorised data sharing among different participants becomes vital to operate SMN well. Although blockchain has been applied to SMN to ensure credibility and authority, there is little work on how to configure and optimise a blockchain network for SMN, especially when the structure of SMN changes over time. This paper discusses an automatic blockchain network configuration and optimisation mechanism to enable credible and authorised data sharing in SMN. First, a system architecture for automatic blockchain network configuration and optimisation is built. Then, the structure of SMN and blockchain network model are established using complex network and hypergraph. Then, an automatic blockchain network configuration mechanism is studied to configure blockchain networks from certain SMN structures. Afterward, an automatic blockchain network optimisation mechanism is studied to optimise blockchain networks for SMN when dynamic events occur. Finally, the mechanisms are validated through a case study of SMN to produce air conditioners. The results show that our mechanisms can help core enterprises efficiently deploy a blockchain network for credible and authorised data sharing among different participants in the SMN.

Simulation Analysis of Artificial Intelligence Technology Diffusion under Market Competition and Policy Incentives Based on Complex Network Evolutionary Game Models

The relationship network between enterprises will change their adoption behavior of AI technology and this micro-decision-making mechanism will eventually decide whether AI technology can diffuse and the extent of diffusion on the macro level. However, the existing AI technology diffusion research mostly focuses on the integration of AI technology with other industries from the industrial level, ignoring the complexity of the micro-complex game process and interactions within the enterprise network on the macro technology diffusion. In this regard, this paper builds a game model of AI technology diffusion in core and non-core enterprises from the levels of market competition and policy incentives based on complex network evolutionary game theory. It does this through simulation analysis that examines the mechanism of key factors affecting the diffusion of AI technology, as well as the influence and combination effects of pertinent policies. The study shows that (1) AI technology diffuses more effectively in non-core enterprises than it does in core enterprises; (2) changes in parameters like technology cost and policy regimes have a more evident impact on core enterprises than non-core ones; (3) in market competition, increasing the network average degree, the proportion of AI technology products in the mainstream market, the opportunity cost, the cost reduction factor, or decreasing the cost of AI technology can all promote the diffusion of AI technology; (4) under policy incentives, increasing the proportion of AI technology subsidies and the influence of high-tech identification of enterprises can both promote the diffusion of AI technology.

Collaborative Innovation in Construction Supply Chain under Digital Construction: Evolutionary Game Analysis Based on Prospect Theory

In the context of Digital Construction (DC), collaborative innovation in the construction supply chain (CSC) is crucial for long-term competitiveness. However, transparent information flows and fickle market circumstances hinder enterprises from actively participating in collaborative innovation, making it challenging to establish effective incentive mechanisms. To achieve sustained and stable collaborative innovation, an evolutionary game model of collaborative innovation between core enterprises and member enterprises in the CSC under DC based on Prospect Theory is constructed. Five equilibrium scenarios and evolutionary stability strategies are analyzed, and the corresponding stability conditions are obtained. Finally, the impact of different parameters on strategy selection are analyzed by numerical simulation. The results indicate that the balance between knowledge sharing and knowledge leakage is the premise of the positive impact of DC technology on collaborative innovation. Moreover, the adjustment of gain sensitivity and loss sensitivity is the key to enhancing managerial enthusiasm for collaborative innovation. Furthermore, the design of income distribution and innovation incentives must adhere to the reciprocity principle, while subsidies from owners demonstrate a prominent positive impact on collaborative innovation. This paper systematically expounds the dynamic influence of DC technology application, knowledge spillover effects, and managerial cognitive structures while confirming the intrinsic effect of innovation incentive mechanisms. It provides substantial theoretical reference and management enlightenment for promoting the development of collaborative innovation in the CSC under DC.

Research on green supply chain finance risk identification based on two-stage deep learning

As a resonance product between financial services and the upgrading of the green industry, green supply chain finance has garnered extensive attention in the process of ecological civilization construction. Effectively promoting the green transformation of small and medium-sized enterprises and achieving the "dual carbon" goals necessitate the avoidance of corporate green risks. However, the complex interdependence and information asymmetry among green supply chain finance enterprises result in data characteristics such as multi-source small samples and high-dimensional imbalance. To address these issues, this paper proposes a risk assessment model based on two-stage deep learning. In the first stage, we employ Generative Adversarial Network (GAN) to generate minority class default samples, and utilize Stacked Auto-Encoder (SAE) to extract data features with closed-form parameter calculation capability. In the second stage, the obtained features are input into a Deep Neural Network (DNN), and parameter learning and model optimization are conducted through joint training. Finally, to model low-order feature interactions, we integrate the Support Vector Machine (SVM) algorithm. The paper is grounded in the green innovation production of enterprises, collecting financial data of 176 upstream and downstream enterprises and corresponding core enterprise green indicators from 2013 to 2022. Experimental results demonstrate that GAN oversampling technique not only enhances the model's AUC metric but also significantly improves the F1 score. Compared with traditional deep learning methods, the proposed two-stage deep integration model effectively reduces training loss and exhibits superiority in identifying green supply chain finance risks.

Identification of Key Risk Nodes and Invulnerability Analysis of Construction Supply Chain Networks

The construction supply chain confronts interruption risks that raise significant concerns regarding industry safety and stability. Consequently, exploring risk management strategies from both enterprise and supply chain network perspectives is crucial. This study employs complex network theory and the cascade failure model to propose a methodology tailored to the unique characteristics of the construction supply chain, facilitating the identification of key risk nodes and the conduct of invulnerability analyses. By evaluating the importance of construction enterprise nodes and their risk propagation ability during cascade failures, this method enables the comprehensive identification of key risk node enterprises within the construction supply chain network. Furthermore, this study examines and discusses strategies for enhancing network invulnerability by taking into account node capacity, load, and resilience. Empirical results indicate that the key nodes and risk nodes in the construction supply chain network are mainly located upstream and downstream, displaying specific distribution patterns. In addition to core enterprises, key risk nodes comprise some strong suppliers at the intermediary and lower tiers of the supply chain. Adjustments to node enterprise parameters like capacity, load, and resilience have diverse impacts on the invulnerability of the construction supply chain network. This study clarifies the distribution patterns of key risk nodes within the construction supply chain network and the variations in network invulnerability under particular conditions, providing valuable insights for risk management decision-making.

Research on trust mechanism of supply chain finance under Industrial Internet embedded with blockchain.

In traditional supply chain finance, the financing of enterprise mainly relies on the credit segmentation of the core enterprise, resulting in a short trust transmission radius and poor financing ability. The development of Internet technology, while expanding financing channels, has also seen an increasing severity in issues such as information fraud and data breaches, which has further aggravated the trust crisis in supply chain finance. This paper integrates blockchain technology into the industrial internet platform and analyzes the applicability of both in empowering supply chain financial trust. Then a supply chain financial trust framework, which emphasizes information sharing, data security, and trust circulation, is proposed. Furthermore, combined with the theories of Funk-SVD and entropy value, this paper designs a global trust evaluation mechanism that facilitates the trust circulation in supply chain finance and proposes a recommendation algorithm for global trust. With the testing conducted using the Epinions dataset, it is found that the algorithm proposed in this paper has a strong data dimensionality reduction and concentration ability, especially for large sample data, it can obtain more accurate evaluation values with less space occupation, thus enhancing the trust circulation ability of supply chain finance. Finally, the paper puts forward specific policy recommendations for the implementation of the supply chain finance information mechanism, aiming to better improve the financing accessibility of enterprises in supply chain, particularly small and medium-sized enterprises.

Co-creating value in manufacturing supply chains: unravelling the dynamics of innovation ecosystems

ABSTRACT This research delves into the operational intricacies and pathways driving value realization within a supply chain innovation ecosystem, with a specific focus on the lens of value co-creation. Leveraging China’s home appliance manufacturing industry as a case study, we develop a system dynamics model, revealing that the collaborative interaction among core enterprises, partners, and customers significantly contributes to system value creation. Notably, the digitalization level of enterprises emerges as the primary catalyst for value creation within the system. This study establishes the framework and boundaries of the supply chain innovation ecosystem, outlines value realization pathways, provides key insights on value co-creation for manufacturing enterprises.

Safety motivation and safety cooperative behavior of core enterprises participating in small and medium-sized manufacturing suppliers in the supply chain

The safety of the supply chain is a major concern for scholars and entrepreneurs. This study primarily explores the safety motivation and safety cooperative behavior (SCB) of core enterprises participating in small and medium-sized manufacturing suppliers within the supply chain. This study aims to address the research gap in analyzing the role of safety motivation and SCB, with the goal of enhancing the overall safety level of the supply chain and reducing the incidence of safety risks. This study proposed a structural equation model and examined the relationships of safety motivation, safety management strength (SMS), safety coordination ability (SCA), and SCB. The questionnaire was collected from 299 core enterprises, excluding non-core enterprise samples. The findings from the study revealed a positive impact of safety motivation and SCA on SCB. Safety image motivation (SIM), safety supply motivation (SSM), and safety responsibility motivation (SRM) all have a positive impact on SMS, while SIM and SRM positively impact SCB. SCA acts as a significant mediator between SIM and SCB, SSM and SCB, as well as SRM and SCB. This study addresses the gap between safety motivation and SCB within the supply chain, providing a new research perspective on the supply chain.

Research on Agricultural Supply Chain Finance Innovation Strategies Based on Blockchain

Comprehensively promoting rural revitalization and accelerating the construction of an agricultural power are important measures for the comprehensive construction of a modern national strategy. Under this strategic guidance, agricultural supply chain finance is particularly crucial as it is vital for the development of small and medium-sized enterprises and farmers. However, ordinary farmers, small and medium-sized agricultural enterprises, and core enterprises all face financing and credit risks throughout the supply chain. These challenges constrain their development and growth. This thesis first analyzes the current development status of agricultural supply chain finance, then identifies the risk issues affecting the development of agricultural supply chain finance through analysis of the relevant entities involved in the practice of agricultural supply chain. Finally, it proposes a solution approach through the innovative strategy of "dual-chain" combining blockchain with agricultural supply chain finance to address these problems. This thesis provides theoretical support for the development of agricultural supply chain finance and offers practical significance for the innovation research of agricultural supply chain finance under blockchain technology.