Enterprise Supply Chain Research Articles

A Comparative analysis of service supply chain performance using analytic hierarchy process methodology

The study aims to provide a comprehensive analysis of the service supply chain (SSC) of small and medium scale enterprises (SMEs) and to offer insights to improve its supply chain performance. The study employs mixed methods, to analyse the data collected from SMEs. The findings highlight several key metrics of effective supply chain management in a service firm such as utilisation and flexibility of service capacity, inventory, order lead times, relationships between the organisation, its suppliers and customers, the importance of effective demand forecasting and inventory management as valuable attributes to improve the supply chain performance of service firms. Inventory lead time is presented as a fundamental metric useful in determining the service supply chain performance of 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.

Innovative Strategies and Practical Effects of Supply Chain Management of Business Enterprises under the Framework of Smart City

Abstract The change in modern information technology has brought new development opportunities to all walks of life, and the supply chain management mode of industrial and commercial enterprises has gradually shifted from management based on historical experience to management relying on information data. This paper combines the problems of inventory cost optimization and vehicle route scheduling optimization in the supply chain management of industrial and commercial enterprises and develops the supply chain innovation management system of industrial and commercial enterprises under the framework of a smart city. The proposed DES_RSA hybrid encryption method is proposed to ensure the timeliness and security of the information transmission process of the smart supply chain management system. During the interface test of the purchase order paging request, the system test revealed that the supply chain management system had a 0.00% error rate. The results of the application practice of Company H show that after the application of the supply chain innovation management system, the growth rate of Company H’s operating costs continued to decline, the expense margin rose by 8.50% in two years, and the trend of customer satisfaction also shows a significant increase. The application value of the business enterprise supply chain management system designed in this paper is high, which can achieve efficient management of the business enterprise supply chain.

Path Dependence and Strategic Responses to Supplier Concentration in the Internet Era

Abstract This study explores enterprises’ supplier concentration path dependence in the Internet era and its impact on enterprise performance, and analyzes enterprise coping strategies to optimize supply chain management and enhance enterprise competitiveness. The research method adopts principal component analysis and Tobit model, and selects the data of 100 listed enterprises in the manufacturing industry from 2015 to 2020. The results show that supplier concentration positively correlates with enterprise performance, in which the mean value of supplier concentration is 0.58 and the correlation coefficient with enterprise performance is 0.35. In addition, control variables such as enterprise size and investment opportunities also significantly impact enterprise performance. The conclusion states that the path dependence of supplier concentration positively affects enterprise performance, and enterprises should respond to it by optimizing supply chain management and establishing an internal control system. This provides a new perspective for enterprise supply chain management in the Internet era.

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.

Artificial Intelligence and Its Impact to the Operations of Enterprises: Basis for Strategic Plan

Artificial intelligence has had a profound impact on the production and operation management of enterprises, including human resource management, financial management, production management, and decision-making assistance. Artificial intelligence can improve production and management efficiency, and reduce costs. It can improve the quality and specialization level of financial information processing, achieve intelligent financial management, and improve the efficiency and accuracy of financial management. The development of artificial intelligence may have an impact and crowding out effect on jobs with primary repetitive standardized processes, leading to a reduction and adjustment of some positions, while also providing new employment opportunities. The application of artificial intelligence in production and operation management can strengthen enterprise supply chain management, improve quality inspection efficiency, reduce operating costs, improve production efficiency, enhance the scientificity of enterprise management, thereby improving management efficiency and economic benefits, and promoting enterprise development and competitiveness. At the same time, it is necessary to pay attention to data security management and privacy protection, reduce the cost of using and maintaining artificial intelligence, continuously improve and perfect artificial intelligence tools, effectively enhance the use of artificial intelligence in accordance with regulations, and pay attention to the risk of personnel unemployment caused by the application of artificial intelligence. Therefore, it is suggested that senior leaders of enterprises should attach great importance to the application of artificial intelligence, increase funding, provide budget support and resource investment, strengthen data quality management and customized analysis capabilities, reduce usage and maintenance costs, promote human-machine cooperation, strengthen the application of artificial intelligence in business management, attach importance to employee training and transformation support, and pay attention to technological development trends, optimize and expand application scenarios, Actively explore and apply artificial intelligence tools to enhance the competitiveness of enterprises. The government should formulate relevant policies and regulations, strengthen education and training support, promote the development of the artificial intelligence industry, strengthen international cooperation and exchanges, formulate policies to promote employment and social security systems, encourage innovation and entrepreneurship, strengthen supervision and regulation, and promote the comprehensive application of artificial intelligence in enterprise management.

Enterprise Architecture Development to Strengthen Sustainability in the Supply Chain

In contemporary international business, the significance of sustainability in supply chain operations has emerged as a prominent area of interest. The present study investigates the significant impact that Enterprise Architecture has on enhancing the sustainability of enterprise supply chains. By integrating Enterprise Architecture concepts in their entirety, this study presents a framework that empowers organizations to formulate sustainable sustainability strategies. Enterprise Architecture is utilized to identify, manage, and integrate supply chain critical elements that impact sustainability, such as waste management, energy efficiency, resource utilization, and the selection of sustainable business partners. This research demonstrates how progressive Enterprise Architecture implementation can contribute to the sustainability of supply chains, assist organizations in addressing environmental and social challenges, and generate long-term value for businesses and their business ecosystems by delineating an all-encompassing architecture. This study examines in depth how the application of Enterprise Architecture can catalyze achieving supply chain sustainability and provides companies with guidance on how to design and implement sustainable, structured sustainability strategies.

Sustainable Practices in Global Supply Chains of Chinese Enterprises: Biblometeric Approach

Chinese enterprises have indeed recognized the importance of sustainable practices in their global supply chains, with one key practice being the enhancement of supply chain transparency. These enterprises are implementing measures to trace and track raw materials and components, ensuring compliance with sustainability standards and ethical sourcing practices. This transparency is crucial in identifying and mitigating environmental and social risks within the supply chain. However, it is important to note that there is still a lack of extensive research in the context of China regarding sustainable practices in global supply chains. While some studies and initiatives have been conducted, there is a need for more comprehensive research to understand the specific challenges and opportunities faced by Chinese enterprises in adopting and implementing sustainable practices throughout their supply chains. The objective of this study is investigating the research progress on issue related Sustainable Practices in Global Supply Chains of Chinese Enterprises. In doing so, systematic literature research was implemented on the supply chains of Chinese enterprises' foreign direct investment (FDI) to provides insights into the penetration and significance of sustainable concepts in this topic. This paper utilizes advanced data visualization techniques and an in-depth literature review to comprehensively summarize and review previous research extracted from the Web of Science database. The study included 518 articles and analyzed them through RStudio and VOSviewer software. Research analysis reveals that most of the past research articles on this topic primarily come from China, followed by large economies such as the United States and the United Kingdom. However, when ranked by influence, the order is Canada, the UK, and the US. Around 2020, collaborations between countries mainly occurred in Asian nations. China, enterprises, and FDI are currently the most popular keywords. The importance of sustainability in the research on FDI in Chinese enterprises has been verified through data analysis and theoretical review. Key terms related to sustainability, such as "carbon dioxide emissions, economic growth, and energy consumption", are expected to play a vital role in future research. Current theoretical studies confirm that integrating environmental, social, and economic goals (ESG) into supply chain operations can implement a sustainable philosophy for the entire product lifecycle in Chinese OFDI enterprises. Disseminating sustainable management principles in supply chains among Chinese OFDI companies can contribute to ESG sustainability goals, while also enhancing the long-term profitability of the companies themselves.

PERAN KEPERCAYAAN DAN TEKNOLOGI INFORMASI TERHADAP KINERJA RANTAI PASOK

This research aims to analyze trust and information technology's influence on Tempe Micro, Small, and Medium Enterprises (MSMEs) supply chain performance in Banten Province. This research uses a quantitative approach. The population in this research is all Tempe MSMEs in Banten. The sample in this study was 64 tempe MSMEs located in 8 (eight) districts/cities. Sampling was taken using stratified random sampling, namely 8 (eight) respondents in each district/city. The data is primarily obtained through a questionnaire and then processed using the SmartPLS 4 tool. The research results show that trust and information technology has proven to influence the supply chain performance of tempeh MSMEs in Banten. High trust between business partners in the supply chain provides benefits in the form of better collaboration, effective communication, and more excellent reliability in meeting customer needs and demands. The use of sophisticated information technology allows MSMEs to speed up business processes, increase data accuracy, optimize coordination with business partners, and increase responsiveness to changes in market demand.

Cascading failure resilience analysis and recovery of automotive manufacturing supply chain networks considering enterprise roles

With the rapid development of global trade, the member enterprises in the automotive manufacturing supply chain are widely spread around the world. As a result, the scale of the automotive manufacturing supply chain network has become increasingly large, and the structure has become more complex. At the same time, the connection between enterprises is becoming closer. On one hand, the close business relationships between enterprises and the vast network structure accelerate the operation efficiency of the automotive manufacturing supply chain network. On the other hand, it also exposes the entire network system to high risks of cascading failures when facing disruptions due to enterprise production interruptions. Therefore, this work aims to establish a realistic cascading failure model for the automotive manufacturing supply chain network to explore its cascading failure characteristics. Based on this model, a two-stage recovery strategy is proposed to enhance the network’s cascading failure resilience. Experimental results demonstrate the following findings: (1) underload nodes that emerge after load redistribution are the main cause of cascading failure resilience degradation in automotive manufacturing supply chain networks; (2) cascading failure resilience is negatively correlated with the load-exponential coefficient, the capacity lower-limit coefficient, and the attenuation-tolerance coefficient; (3) among four different types of attacks, cascading failures caused by the high eigenvector centrality attack strategy and the high degree attack strategy impose the most severe damage on the automotive manufacturing supply chain network; (4) the proposed two-stage recovery strategy can significantly improve the cascading failure resilience of the automotive manufacturing supply chain network.

Disruptions in the COVID-19 Pandemic in the Supply Chains of the Automotive Industry as Crucial for the Polish Economy

The purpose of this article is to identify disruptions occurring in the supply chain of automotive enterprises operating in Poland during the COVID-19 pandemic and ways to counteract them, taking into account the type of business conducted. The specific objectives are to identify and characterise the types of enterprises operating in automotive supply chains, to identify changes during the pandemic in automotive enterprises, depending on the type of activity, and to show disruptions in automotive supply chains and ways to counteract these disadvantages depending on the type of activity. Automotive enterprises operating in Poland were selected for the study purposefully. A random selection method was used to select 500 automotive companies for the study. The data sources were surveys conducted in June 2023 among 500 enterprises in the form of a direct telephone interview. The Pearson χ2 test of independence was used to check the existing relationships between the type of business activity and the results and responses obtained in the surveys. Automotive companies experienced supply chain disruptions, regardless of the type of business. Most often, these were caused by lockdowns and official closures, low stocks of materials and products, and problems with employees. The type of business conducted was not a factor determining the type of disruptions in the supply chain. All types of enterprises reported similar problems in the supply chain, such as longer order processing times, increased transport, storage, and labour costs, and decreased on-time delivery. Disruptions were most often short-lived, up to 1 year. Car producers indicated that disruptions were longer and even longer lasting compared to sales, maintenance, and repairs. Companies countered disruptions by using mostly operational measures, which were short-lived. Only a small percentage of operators made strategic decisions and countered disruptions over a longer period. The scale of these actions was greater among manufacturers than among dealers and car service companies. The theoretical contribution to science was the identification of disruptions and ways of responding to them in supply chains in the automotive industry, depending on the main types of activities conducted. A practical contribution may be the presentation of enterprises’ reactions to the uncertainty and the recommendation that enterprises have ready scenarios for responding to occurring disruptions.

Analysis of the Impact and Application of Artificial Intelligence on the Development of Supply Chain Technology in Large Enterprises

In recent years, artificial intelligence (AI) has become an important driving force for the development of large enterprise supply chain technology. Through machine learning, natural language processing, computer vision and other technologies, AI can help enterprises improve the efficiency and reliability of supply chains. This article analyzes the impact of AI on the development of large enterprise supply chain technologies and explores its applications in data analysis and forecasting, planning and scheduling, automation and robotics technologies, risk management and anti-fraud for supply chain management. The results show that AI has huge potential to improve the efficiency, transparency and security of large enterprise supply chains. It can help enterprises more accurately analyze massive amounts of supply chain data, predict potential problems, optimize planning and scheduling, improve automation levels with robots, and strengthen risk oversight and fraud prevention through technologies like machine vision.

Enterprise Digitalization Enabling Supply Chain Development: Driving Mechanisms and Path Choices

With the emergence and popularization of emerging digital technologies such as big data and artificial intelligence, it provides a new direction of thinking for enterprises to optimize supply chain layout and empower supply chain development. Promoting the synergistic and efficient development of the supply chain is a key issue that enterprises need to explore urgently. This paper takes the enterprise supply chain development as the research object, takes the enterprise digital transformation as the starting point, and deeply analyzes the mechanism and path of enterprise digital empowerment supply chain development. This paper explores the influence path of enterprise digitalization on supply chain development from the aspects of enterprise innovation ability and financing constraints, and puts forward suggestions and countermeasures for the dilemmas faced by enterprises in digital transformation, and the results of the research have certain practical significance for supply chain management.

The Role of IT Applications on New Product Performance in the Digital Age: The Role of Supply Chain Synergy Mediation

Based on resource-based theory, dynamic capability theory and transaction cost theory, this paper analyzes the influence of IT application based on big data analysis on new product performance, the mediating role of supply chain collaboration and the moderating role of relationship risk between supply chain collaboration and new product performance in the context of supply chain collaboration in the digital age. The results show that IT advancement and IT consistency have significant positive effects on new product performance; Joint problem solving and information sharing in supply chain collaboration play a partial mediating role in the relationship between IT advancement and new product performance. At the same time, IT also plays a part of mediating role in the relationship between IT consistency and new product performance. Relationship risk positively moderates the relationship between information sharing and new product performance. The research conclusions not only enrich the existing theories, but also have important reference significance for the digitization and information construction and innovation development in the context of enterprise supply chain collaboration.

The Application and Benefit Evaluation of Digital Enterprise Resource Planning System in Supply Chain Management

Because of the lack of effective quantitative benefit evaluation methods for applying digital enterprise resource planning systems in supply chain management, this paper proposes a supply chain management benefit evaluation method after implementing the ERP system. This method starts from the two aspects of ERP implementation cost and quantitative income, establishes the evaluation index system of supply chain management benefit, then normalizes each index, uses the Delphi method to determine the weight of each quantitative income, constructs the evaluation model of enterprise supply chain management benefit after ERP implementation, and finally obtains the evaluation score in the form of the ratio of quantitative income to ERP implementation cost. In order to verify the feasibility of the model, the data of CM company from 2015 to 2022 are selected for simulation experiments. The calculated benefit evaluation score is consistent with the actual situation of the company's operation. Therefore, the model can effectively evaluate the benefits of applying digital enterprise resource planning system in supply chain management and provide strong support for enterprise management to plan ERP implementation and follow-up maintenance decision-making.

Evaluation on Risks of Manufacturing Enterprise Supply Chain based on BP Neural Networks

In order to improve the evaluation and management of manufacturing enterprise supply chain risk and enhance the resilience of supply chain, this study evaluates enterprise supply chain risk from the perspective of sustainable development. Firstly, the risk factors that may exist in the supply chain are identified, and the supply chain risk evaluation index system is proposed. Then the risk evaluation model based on BP neural network is established, and the neural network model is trained, tested and evaluated by using the survey data. The survey and test results show that the overall risk of the enterprising is at a low level, and the risks of each link are different, among which, the financial risk, logistics risk and cooperation risk are at a high level, and the other risk factors are at a low level. The risk factors contributing the most to the enterprise supply chain risk were extracted. This paper theoretically enriches the supply chain risk evaluation methods, and puts forward feasible suggestions for enterprises to prevent supply chain risks and optimize and stabilize supply chain.

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.

Technology Innovation, Financing Risk and Control in Small and Medium-Sized Enterprises Supply Chain

With the development of supply chain finance, micro and small enterprises can effectively solve their financing difficulties and improve the flow of funds in the supply chain. This paper reviews the work done by past research in solving the financing problems of MSMEs, credit risk assessment and control, and the development of new technologies in supply chain finance. It discusses how technology affects the efficiency and security of supply chain finance and takes small and medium-sized enterprises as carriers to carry out a broader theoretical analysis of risk control and assessment. At the same time, the paper analyses the application of currently popular and advanced technologies, such as blockchain, artificial intelligence, and the Internet of Things, in solving the financing challenges of SMEs. In addition, the paper discusses and compares the risk assessment and control of micro and small enterprise financing and supply chain finance risk control and proposes corresponding solutions and models.

Fintech, supply chain concentration and enterprise digitization: Evidence from chinese manufacturing listed companies

The rise of fintech has had profound implications for businesses, yet its role in shaping corporate supply chain concentration remains unclear. This study is based on data from Chinese A-share listed manufacturing companies from 2011 to 2020 and examines the impact of fintech on corporate supply chain concentration under the influence of enterprise digitization. The research findings are as follows: fintech promotes corporate supply chain concentration;enterprise digitization amplifies the impact of fintech on enhancing enterprise supply chain concentration; State-owned enterprises are more significantly affected by fintech in terms of corporate supply chain concentration compared to non-state-owned enterprises.

The Optimization of Digital Currency Electronic Payment in RMB Based on Big Data and Fuzzy Theory

Supply chain management is a key component of the Electronic-China Yuan (e-CNY) infrastructure and is crucial to developing and using e-CNY. This paper first provides an overview of the features of e-CNY and the idea of incorporating supply chain management into the creation of e-CNY software to better meet user payment requirements. This will help to reinforce the CNY's dominant position in the global monetary system. Meanwhile, this paper uses the fuzzy theory evaluation method to assess the software supply chain management informatization level. More broadly, this paper discusses the development level of digital enterprise supply chain management informatization to understand the current situation of e-CNY software supply chain management. The network's energy usage will increase when e-CNY software is developed. This research suggests a routing protocol based on the combination of chaotic particle swarm optimization (CPSO) and ant colony algorithm (ACA). It employs a new CPSO algorithm to optimize the cluster head selection.