Enterprise Supply Chain Research Articles

Regulations on the corporate social irresponsibility in the supply chain under the multiparty game: Taking China's organic food supply chain as an example

This paper considers the lack of corporate social responsibility in the organic food supply chain in a new context, that is, the fraudulent subsidies claiming behavior of the manufacturers and the lack of organic food supervision of the fast-growing e-commerce retailers in China. We construct a three-party evolutionary game model among government regulatory departments, manufacturers and e-commerce retailers to analyze the evolution process of the behaviors of manufacturers and e-commerce retailers under government's changing regulation. The results show that: (1) The government can promote the production of organic food by the moderate supervision of manufacturers; Low intensity supervision cannot restrain fraudulent subsidies claiming behavior, while high intensity supervision will restrain the orderly development of organic food industry. (2) The greater the government subsidies on technology and R & D of manufacturers, the more conducive the manufacturerss will be to overcome technical problems and realize the scale of the organic food industry, so that it will eventually evolve towards the direction of active production of organic food. (3) The government's low-intensity fine on e-commerce retailers when they fail to fulfill their responsibilities is not enough to prompt them to choose the strategy of responsibility fulfillment, and the greater the fine is, the more conducive it is for them to evolve towards fulfilling their social responsibilities. (4) Appropriate government funding for e-commerce retailers will encourage them to fulfill their responsibility, but excessive funding will make e-commerce retailers over rely on government funding. Our research provides a better understanding of the irresponsible behavior of organic food supply chain enterprises, our management insights can help improve the government's regulation performance of such behavior, and can also provide a reference for other countries facing similar challenges.

Analysis of Starbucks Supply Chain Status Based on 3A3S Model

The 3A supply chain was proposed by Stanford University Professor Hau L. Lee in 2004. In the past five years, he has studied more than 60 leading companies focusing on supply chain management, including Wal Mart, best buy and Martha, and found that the first-class supply chain has three characteristics: agility, alignment, and adaptation. It represents the best state of current supply chain management. He believes that only enterprises with the 3A supply chain can continue to gain a competitive advantage and take the lead in the competition. 3S model refers to the analysis of substitution effect (business substitution), scale effect (scale expansion) and structure effect (production structure and distribution channel change) used in enterprise supply chain management. This paper aims to use the 3A3S model to analyze the current situation of the company’s supply chain with Starbucks as an example and draw conclusions through detailed research and analysis, to provide some experience and lessons for more enterprises’ supply chain management.

Product Processing Quality Demand Analysis for Medium Auto Parts Enterprise in Supply Chain

Aiming at the problem of product processing quality management in automobile manufacturing supply chain, the concepts of automobile manufacturing supply chain and medium auto parts enterprise are put forward, the theory of product life cycle and relationship life cycle is introduced, and the automobile manufacturing supply chain is divided into product processing preparation stage, product sample performance evaluation stage and product production and operation stage. The cooperation model of the medium enterprise in the automotive manufacturing supply chain is constructed, the management characteristics and key influencing factors of the medium auto parts enterprises in the three stages of the automotive manufacturing supply chain are analyzed, and from the perspective of the supply chain, the product processing quality management demand model of the medium enterprise is established. Taking a new product manufacturing of an auto parts enterprise in China as an example, the practicability and rationality of the proposed concept and model are verified.

Research on the Sustainable Operation of Low-Carbon Tourism Supply Chain under Sudden Crisis Prediction

This paper integrates a low-carbon tourism supply chain consisting of a low-carbon tourist attraction (LTA) providing a low-carbon service and an online travel agency (OTA) responsible for big data marketing. Consumers may also encounter sudden crisis events that occur in the tourist attraction during their visit, and the occurrence of crisis events can damage the low-carbon goodwill of the tourist attraction to the detriment of the sustainable development of the supply chain. Therefore, this paper aims to investigate how tourism firms can develop dynamic strategies in the pre-crisis environment if they envision the occurrence of a crisis event and how crisis events affect interfirm cooperation. This paper uses stochastic jump processes to portray the dynamic evolution of low-carbon goodwill in the context of crisis events and introduces the methods of the differential game and Bellman’s continuous dynamic programming theory to study the sustainable operations of low-carbon tourism supply chains. Our findings provide important managerial insights for enterprises in the tourism supply chain and suggest that they need to not only become aware of the tourist attraction crisis events, but also, more importantly, they need to adjust their appropriate input strategies based on the degree of anticipation of the crisis.

Dynamic game of corporate social responsibility in a supply chain with competition

In the background of economic globalization, the rapid development of information technology and the individualization of customer demand make it difficult for a single enterprise to cope with the increasingly complex market competition. The traditional competition mode between enterprises is difficult to continue. Instead, it is the competition between one supply chain and another supply chain that becomes important. To obtain a sustainable competitive advantage, corporate social responsibility has gradually become the focus of supply chain management. In reality, enterprises in supply chains generally have a long-term, dynamic and stable cooperative relationship, and their corporate social responsibilities have complexity characteristics, which would change with time. Therefore, it is more practical to conduct a dynamic research on the social responsibility decision-making in competitive supply chains under the continuous time background. This study contributes a new approach to the literatures on competitive supply chains and corporate social responsibilities in supply chains by extending the static perspective to a dynamic one, so as to analyze the application of corporate social responsibilities in competitive supply chains. By constructing competition models with two two-echelon supply chains, this paper uses differential game theory to study the decision-making related to corporate social responsibility in supply chains in three situations: decentralized decision-making, centralized decision-making and combined decision-making. This paper determine and contrast the optimal price and corporate social responsibility decision-making in each situation, and analyze the impacts of corporate social responsibility, supply chain reputation and supply chain competition on supply chain revenues. Through simulation analysis, this paper find that corporate social responsibility is an effective tool to realize sustainable supply chain. The corporate social responsibility effect of the centralized supply chain is the greatest. Consumer social responsibility preference, corporate social responsibility efficiency and competition intensity are positively correlated with corporate social responsibility effort. Discount rate and CSR cost coefficient are negatively correlated with corporate social responsibility effort. Finally, some managerial implications are put forward based on the research results.

The Role of Social Media in the Innovation and Performance of Kuwaiti Enterprises in the Food Sector

This study examined social media’s role in various levels of research, development, and performance within enterprises in Kuwait. The research incorporated four inductive case analyses in various sectors. The case studies epitomize the supply chain of Kuwaiti enterprises, including small and medium-sized enterprises (SMEs). Media richness theory and social exchange effectuation theory were utilized to create an effective theory and a theoretical framework. This study collected data via a questionnaire completed by 100 managers employed by Kuwaiti SMEs specialized in the food sector and interviews with eight managers. Numerical data were analyzed via SPSS software, while textual data were analyzed by applying thematic analysis. The results of this study suggest that Kuwaiti companies should adopt social media platforms and other novel, innovative outlets to publicize their organizations and maximize performance. Social media richness and openness tend to determine the supplier selection process in most Kuwaiti enterprises, leading to positive transactional and social impacts on entrepreneurship.

The optimal product pricing and carbon emissions reduction profit allocation of CET-covered enterprises in the cooperative supply chain

The optimal product pricing and carbon emissions reduction profit allocation of CET-covered enterprises in the cooperative supply chain

On the issue of assessing the effectiveness and risk reduction of the company’s environmental-focused development strategy

The article deals with the problem of evaluating the effectiveness of the strategy of environmental-oriented development of the enterprise based on the analysis of the processes of reducing the volume of waste from the production activities of the enterprise. An effective environmental-oriented strategy of the enterprise involves reducing the negative impact of the enterprise on the environment in the course of its production activities, based on the implementation of the least environmentally hazardous technologies for the disposal or disposal of waste from production activities. An approach is presented that assumes the creation of a synergistic environmental effect, which will be based on interaction in the supply chains of enterprises that are links in the supply chain in order to reduce the volume of waste from production activities. Based on the study of the processes of waste generation in the implementation of industrial activities of enterprises and as a result of environmental pollution, three variants of the waste management strategy based on the use of the projection method are formed. It is proposed to use the synergistic effect arising from the cooperation of activities in the supply chain in order to optimize the greening of production activities. In the interests of improving the efficiency and safety of strategies for environmental-focused development of enterprises, the authors pay attention to the development of tools for reducing the risks of complex systems projects and innovative technologies implemented at enterprises. The relevance of the development of a new approach to the examination of complex systems and innovative technologies is justified. The necessity of creating, implementing and implementing in practice methodological and organizational-methodological support for conducting a comprehensive environmental and socio-focused expertise of projects of complex systems and innovative technologies and training experts in order to improve the efficiency and safety of strategies for environmental-focused oriented development of enterprises is outlined.

Managing micro and small enterprise supply chains: A multi-level approach to sustainability, resilience and regional development

Amidst the high number of frameworks associated with supply chain sustainability (SCS), proper consideration to the role and importance of micro and small enterprises (MSEs) has been missing in the literature. To address this research gap, this paper investigates the driving factors that support MSE supply chains to achieve sustainability. We employ institutional and complexity theories to broaden our understanding of the dynamics behind neglected supply chain structures, especially the ones predominantly formed by MSEs. An in-depth nested case study is carried out in a MSE supply chain in an emerging economy, where 33 supply chain players were involved in the data collection. Using a combination of deductive and inductive approaches to analyze the data, we find that to truly implement SCS, research and practice should consider not only the strategic, structural and process levels, but also the contextual level, which is critical dimension to SCS dynamics. Results show that MSE supply chains contribute significantly to regional socio-economic development due to their local roots and regional history. Also, findings demonstrate that MSE supply chains have enhanced resilience to crises (e.g., economic, political and other disruptions) because they are often focused on long-standing economic activities within the regional ecosystems. This paper contributes to theory by arguing that SCS is a much more complex phenomenon in practice than the current theory implies. Therefore, incorporating the diversity from reality and the peculiarities of MSE supply chains into the SCS debate helps the literature to get closer to the SCS practice.

E-Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing

In recent years, the rapid development of information technology has affected the way the world economy operates. The emergence of e-commerce has greatly shortened the time and space distance between economic participants and maximized the sharing of resources. However, the financial management and risk assessment capabilities of the existing supply are insufficient to adapt to the rapidly developing new environment. This article uses a combination of normative analysis and empirical analysis to analyze the status quo of the supply chain of small and medium e-commerce companies. First, this article establishes an evaluation framework for the supply chain of e-commerce companies based on edge computing. Second, according to the distribution of the supply chain, this article adds the member’s predetermined quota, reputation, execution time, and other indicators as parameters to establish a fuzzy neural network model. On this basis, combined with the price regression model, the pricing plan is evaluated. The results show that the financing risk obtained by this model differs very little from the actual risk. The above-mentioned model constructs an e-commerce enterprise supply chain financing risk management model that adapts to the environment of the new era.

Technological Innovation and Value Creation of Enterprise Innovation Ecosystem Based on System Dynamics Modeling

Based on the analysis of the dynamic interrelationships of enterprise innovation factors according to system dynamics, we build a dynamic causality diagram and a flow graph model of the enterprise innovation ecosystem to study the potential business value creation paths focusing on technological innovation. The system model is simulated using data from high-tech enterprises. Our results show that the model can reasonably simulate the operation of the enterprise innovation ecosystem. Two paths to value creation are identified: (1) input-technological innovation-commercialization of results-value creation; (2) external acquisition of technology-digestion and absorption-value creation as a complementary path. Also, the technological innovation path expands and extends the industrial chain and supply chain of enterprises and better promotes the value creation of enterprises in the same supply chain. Furthermore, our results show that R&D investment and technical cooperation investment should be allocated rationally in order to improve the utility of value creation investment.

Incentive Contract Design for Supply Chain Enterprise’s Pollution Abatement with Carbon Tax

This paper applies mechanism design to the supply chain enterprise’s pollution abatement problem with carbon tax. To maximize the government’s expected utility, an uncertain contract model is presented in the framework of principal-agent theory, where the government’s assessment of the supply chain enterprise’s carbon emission level is described as an uncertain variable. Afterwards, the equivalent model is provided to obtain the optimal contract for the uncertain pollution abatement problem. The results demonstrate that the supply chain enterprise’s optimal output decreases with the carbon emission level. Furthermore, the government’s optimal transfer payment decreases with the carbon emission level if the carbon tax is low. In contrast, if the carbon tax is high, the optimal transfer payment increases with the carbon emission level. In addition, an increase in the carbon emission level decreases the optimal utilities of both the government and the supply chain enterprise and also leads to the supply chain enterprise’s incremental marginal utility. Finally, we provide a numerical example, which illustrates the effectiveness and practicability of the proposed model.

Research on The Application of Big Data in E-Commerce Enterprise Supply Chain Cost Control

Big data technology obtains value information by collecting relevant data of e-commerce enterprises, strengthens the cost control of the enterprise supply chain, and adopts intelligent and digital analysis methods to enhance the core competitiveness of e-commerce enterprises. Based on the application of big data technology in e-commerce supply chain cost control, the paper analyses the current problems of e-commerce enterprise supply chain cost control, and proposes a solution to the problem by applying big data technology to reduce procurement costs.

The Strategy of Optimizing Quality Management on Supply Chain with Six Sigma Management Method in the Era of Big Data

With the increasingly cutting-edge market competition, it is difficult to form long-term advantages for enterprises by solely relying on low cost. Middle and high-end quality customers prefer product quality in decisions for .purchasing. Enterprises can establish a good brand image, obtain high returns through the dependence on quality. Through quality management, enterprises obtain continuous improvement and economic benefits will be continuously increased. Six Sigma management is widely used in quality management in enterprises. It is a management method proposed by MOTOROLA, which can effectively improve work efficiency and product quality. Six Sigma management designs and supervises each production process and business process to achieve maximum customer satisfaction with minimum losses and improve corporate profits. This paper discusses the application strategy of Six Sigma management in enterprise supply chain quality management.

Analysis of the impact of COVID-19 on the coupling of the material flow and capital flow in a closed-loop supply chain

The complex and changeable external social and economic environment has a significant impact on the sustainable development of the closed-loop supply chain. In particular, the occurrence of uncertain emergencies increases the risk of interruption of the closed-loop supply chain, making it insufficient to analyze its complex changes from the perspective of material flow alone. Based on this analysis, the paper constructs a closed-loop supply chain material flow and capital flow coupling system composed of manufacturers, sellers and recyclers to explore the impact of material flow sudden interruption on the closed-loop supply chain system when an uncertain emergency occurs. In this paper, based on the closed-loop supply chain system coupled with logistics and capital flow, a system dynamics simulation model was established by using Vensim simulation software to analyze the impact of COVID-19 epidemic on manufacturers, sellers and recyclers under five scenarios. The results show that when COVID-19 outbreaks occur, the material flow of each main enterprise in the closed-loop supply chain is more easily influenced than the capital flow. At the same time, it can be found that the recyclers in the main enterprises of the closed-loop supply chain are more easily influenced by the material flow. The model constructed in this paper has applicability and can be used for related studies of closed-loop supply chain under other emergencies, but the scene design should be carried out according to the characteristics of emergencies themselves.

Assessing people‐driven factors for circular economy practices in small and medium‐sized enterprise supply chains: Business strategies and environmental perspectives

AbstractGlobalisation and technological advancements have increased the pressure on small businesses to increase their productivity and to gain competitive advantages. That pressure has been placed on the resources available, resulting in increased environmental degradation as a result of the traditional linear model of make‐use‐dispose. Circular economy (CE) practices offer the opportunity for sustainable production based on the reuse‐remanufacture and recycling of resources for small and medium‐sized enterprises (SMEs) to increase their sustainability, resulting in enhanced performance levels in terms of business strategies and environmental perspectives. But in academic literature, the role of people‐driven factors (PDFs) in the adoption of CE practices in the supply chains (SCs) of SMEs is limited. Therefore, to fill this literature gap, this research looks at analysing PDFs for the implementation of CE in the SMEs in developing countries in two phases. PDFs are identified from an extensive literature review; a DEMATEL technique is then employed to understand the significant influence of each factor in the adoption of CE practices in SCs by dividing them into cause–effect groups. The findings show that PDFs such as training and knowledge sharing, employee participation, leadership and management plus strategic alignment are considered to be the most important significant factors in the adoption. The findings of this study will help industrial managers to understand the significance of the role of PDFs for enhancing business strategies; these findings can reduce the negative environmental impact in the adoption of CE practices in the SCs of SMEs.

Research on the Trust Relationship of Jilin Province Agricultural Products Supply Chain Enterprises Based on the Theory of Green Environmental Protection Block chain

The successful advancement of the Internet + agriculture strategy in Jilin Province has accelerated the circulation efficiency of agricultural products in Jilin Province, and played a vital role in increasing the income of farmers and encouraging their enthusiasm for planting. Under the background of green environmental protection and low-carbon economy, the block chain technology solves the problems of inefficient information transmission in the supply chain led by core enterprises, low matching of information traceability requirements and capacity status, and endless information islands. Combined with block chain technology, analysis there are problems in the information optimization of the agricultural product supply chain in Jilin Province. The “block chain + agricultural product supply chain” is used to realize the model of decentralization, information sharing, and in-depth cooperation mechanism, so as to realize the coordination of the agricultural product supply chain and effectively improve the agricultural product The value-added process of the supply chain has established a three-party trust model for the government, core enterprises and consumers in the process of building a green agricultural supply chain.

E-Commerce Enterprise Supply Chain Cost Control under the Background of Big Data

Since the twentieth century, it has been an era of rapid development of information technology; the scale of data is almost the growth rate of the blowout type; no matter what it is, a large number of enterprises or departments are increasing a large number of cost data. However, the current cost management model still remains in the traditional management method and lacks a smarter big data analysis method. In addition, there is a lot of research on big data applications, and there are few e-commerce supply chains. Therefore, the research purpose of this study is to use big data technology to explore a series of practical operation methods for supply chain Cultural Communication Enterprises and summarize the operation mode of building SCC control by using big data technology. In terms of research methods, this study combined bibliographic review and empirical analysis, explored cost-based mobile e-commerce (EU) cost control related to big data information, used smart and digital analysis methods to thoroughly analyze CCE business issues from internal and external supply chains, established an e-commerce business supply chain cost control model based on big data technology and elaborated cost control procedures and measures. Finally, it summarized the research results and drew conclusions to provide a theoretical basis for promoting enterprises products products to reduce supply chain costs. The research in this study has achieved a breakthrough in the cost management and control of EE; it provides empirical guidance and theoretical reference for EE to adopt big data technology for cost command of supply chain (CCSC), could help EE to reduce cost of supply chain management to gain higher profit margins, and promote e-commerce industry as a whole to the next level eventually. This study concluded that the use of big data technology for cost command can solve a series of problems effectively, such as the lack of systematic analysis of cost, the lack of contractual partners, the serious waste of sales links, and the policy errors of logistics links, and continuously improve the enterprise management level and the decline of comprehensive cost. The application mode of supply chain CCE enterprises using big data technology constructed in this study has universal applicability.

Evaluation Of Management Effectiveness For Trade Enterprises Economic Security In Supply Chains

The concepts of "management effectiveness" and "management efficiency" have been researched and grouped in this scientific paper. Implementation of effectiveness evaluation for managing the economic security of trade enterprises in supply chains is proposed through the evaluation of management efficiency within the following approaches to assessment: purposive approach, which calls for the mandatory achievement of the specific goal in economic security management; resource and effectiveness approach. The matrix method has been offered to evaluate the management effectiveness of trade enterprises economic security; unlike the existing ones, it is based on taking into account the cross impact of enterprise economic security levels and the adaptability of its system, and provides for the constructing a dynamic matrix called "economic security index / adaptability index".

Research on the Partnership between Supply Chain Enterprises Based on Complex Network

Under the perspective of complex networks, supply chain is abstracted as complex network which takes enterprise as node, and takes the relation between enterprises as edge. Taking energy supply chain (ESC) for example, this paper analyses the accuracy of prediction by combining with other seven real networks. The result shows that the predictive effect of half part information index is obviously better than the index of node part information and global information, the predictive effect among some individual global information index is higher while the accuracy are volatile; under the network with smaller cluster coefficient, the node part information has poor predictive effect but more stableness accuracy. Distinguish the accuracy of prediction clearly by comparing with seven real networks, which are to predict the “unknown links” and “future links” more accurately.