Enterprise Supply Chain Management Research Articles

Crafting an Inclusive Procurement Policy: Strategies for Embracing Supplier Diversity

Purpose: In today's global marketplace, diversity and inclusion have transitioned from mere buzzwords to indispensable elements of successful business practices. A robust procurement policy that embraces supplier diversity not only cultivates a more inclusive supply chain but also drives economic growth and social progress. Methodology: This article examines key strategies for integrating supplier diversity into procurement policies, drawing insights from existing literature and best practices in the field of supply chain management and diversity initiatives. Findings: The article outlines strategies such as incorporating diverse suppliers into Requests for Proposals (RFPs), setting thresholds for diverse supplier consideration, addressing risk acceptance and deviations, and emphasizing genuine efforts over token gestures. It highlights the importance of striking a balance between excellence and diversity while prioritizing active engagement with diverse suppliers. Unique Contribution to Theory, Practice, and Policy: By synthesizing insights from academic research and real-world case studies, this article offers actionable recommendations for organizations seeking to enhance their supplier diversity initiatives. It underscores the necessity of genuine efforts in supplier diversity initiatives, advocating for the integration of diversity considerations into procurement policies to foster economic empowerment, social equity, and long-term sustainability in supply chain operations.

The Impact of CSR on Supply Chain Management in Enterprises

Corporate social responsibility (csr) adoption is gaining increasing prominence as a strategic imperative for enterprises seeking to drive transparency, collaboration, and sustainability through their supply chains due to its perceived importance. This paper undertakes a qualitative analysis of peer-reviewed academic literature and industry reports to examine the linkages between measurable csr policies. This helps in deducing means for supply managers to control ethical sourcing, supplier codes of conduct, and social audits and resultant performance improvements across interconnected supply chain entities due to followership of acceptable socially conscious activities. Henceforth, the analysis provides a valid view that integrative csr priorities propagate positive transformations. The transformation refers to improved vendor relationships, logistics, and distribution networks. Those are achieved through enhancing climate resilience, reducing risks, and enabling cost efficiencies. The csr actions, however, need to be structured by mechanisms around supplier capability building, compliance enforcement, and monitoring systems, which are uncovered as vital framing elements allowing csr commitments. However, equitable integration frameworks across entities with varying maturity levels require additional investigation.

Social enterprises in supply chains: driving systemic change through social impact

PurposeThis paper aims to provide a starting point to discuss how social enterprises can drive systemic change in terms of social impact through operations and supply chain management.Design/methodology/approachThis paper reviews existing literature and the four papers in this special issue and develops a conceptual framework of how social enterprises and their supply chains create social impact and further enable systematic change.FindingsOur paper finds that social impact and systemic change can be shaped by social enterprises at three different levels of analysis (organization, supply chain and context) and through three enablers (cognitive shift, stakeholder collaboration and scalability). Such dimensions are used to position current literature and to highlight new research directions.Originality/valueThis paper proposes a novel understanding of operations and supply chain management in social enterprises intended as catalysts for systemic change. Based on this premise we distinguish different practices and stakeholders to be considered when studying social impact at different levels. The conceptual framework introduced in the paper provides a new pathway for future research and debate by scholars engaged at the intersection of social impact, sustainable operations and supply chain management.

Optimizing Sustainability: Investigating The Integral Role of Green Supply Chain Management in Small and Medium-Sized Enterprises (Smes)

This research paper investigates the pivotal role of Green Supply Chain Management (GSCM) in the context of Small and Medium-sized Enterprises (SMEs). As global concerns over environmental sustainability continue to rise, SMEs, often viewed as the backbone of economies, face unique challenges and opportunities in integrating green practices within their supply chain operations. This study delves into the multifaceted dimensions of GSCM, exploring its implications for SMEs in terms of environmental responsibility, economic viability, and stakeholder relationships.
 The research employs a comprehensive methodology, including a thorough literature review, case studies of successful GSCM implementations in SMEs, and empirical analysis of challenges faced by SMEs in adopting sustainable supply chain practices. The objectives are to understand how SMEs integrate GSCM into their operations, identify the barriers and drivers influencing adoption, and assess the impact on environmental, economic, and social performance.

The Role of Collaboration and Digital Technology in Supply Chain Management in Micro Enterprises

Micro businesses have revived, and many have sprung up after the COVID-19 pandemic, including the Coffee Shop micro business. In addition, technological developments in the increasingly rapid digital era have provided nuances and dynamics in research in micro-enterprise supply chains. This study aims to explore supply chain management behavior in micro-enterprises in the era of digital technology. This research contributes to enriching knowledge from research on micro-enterprise agility after the COVID-19 pandemic. This research strategy uses a qualitative approach that allows the author to conduct an in-depth analysis and sort the data into themes. Data was collected from a micro-scale coffee shop in Padang City, North East Coffee Shop. This paper found that (1) the best strategy is to collaborate with small roasteries that are more open to micro-scale coffee shops. (2) The coffee shop micro business has a level of technology adoption to support its operations. This research contributes to enriching knowledge from research on micro-enterprise agility after the COVID-19 pandemic.

Retraction Note: Supply chain and logistics optimization management for international trading enterprises using IoT-based economic logistics model

Retraction Note: Supply chain and logistics optimization management for international trading enterprises using IoT-based economic logistics model

Executives' perceptions of the steel industry's materials management system effectiveness

Materials management is a key component of supply chain management in public sector enterprises, especially in the steel industry. It entails managing the flow of materials while concurrently evaluating factors including demand, price, availability, quality, and delivery dates. This focuses on the necessity of thorough planning for effective material management and control. Small material input cost reductions can lower manufacturing costs and increase profits. The study aims to analyse the executives' perception towards the dimensions of materials management efficacy and also examines respondents’ demographic status. The results reveal that there is a significant association between demographic variables designation, education and experience with the dimensions quality, convenience, and cost while there does not exist a significant association with the dimensions time, quantity and human resource. The study develops a better understanding of the factors determining the efficacy of materials management systems in steel sector enterprises.

Overcoming Barriers to Sustainable Supply Chain Management in Small and Medium-Sized Enterprises: A Multi-Criteria Decision-Making Approach

Sustainable supply chain management (SSCM) integrates economic, social, and environmental goals within the supply chain to enhance long-term performance. It assists organizations in monitoring their performance concerning social, environmental, and economic factors to bolster sustainability. Yet, implementing SSCM poses significant challenges for most organizations, particularly small and medium-sized enterprises (SMEs). This study aims to identify key barriers and strategies for overcoming them in SMEs. A thorough literature review revealed 80 barriers across nine categories: technological, economic and financial, supplier, information, market and networking, human resources, social and cultural, regulatory and institutional, and organizational barriers. Eight experts from SMEs in focus group discussions considered 55 relevant barriers and prioritized them using the best–worst method. Then, based on the top 15 barriers they deemed key, they adapted and improved 24 strategies based on the literature that, in their opinion, could support the implementation of and improve the SSCM in SMEs. The findings from this study highlight economic and financial barriers as the foremost challenges to the implementation of SSCM, mainly due to the lack of funding and capital to make changes in activities to include sustainability. The findings are valuable for SMEs seeking to implement SSCM, offering insights into potential barriers and strategies for surmounting them. Moreover, this study provides a structured approach that can be replicated to identify the most pressing barriers to overcoming and improving long-term sustainability.

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.

A Review of Digital Transformation and Industry 4.0 in Supply Chain Management for Small and Medium-sized Enterprises

A Review of Digital Transformation and Industry 4.0 in Supply Chain Management for Small and Medium-sized Enterprises

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.

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.

Digital Analysis of Logistics and Supply Chain Management Innovation of E-commerce Enterprises in Green Economy

Abstract This paper centers on the logistics and supply chain management of e-commerce enterprises, studies the development mode of e-commerce logistics as well as the logistics process, and constructs a collaborative innovation model of e-commerce logistics integration based on supply chain management. Through the synergistic composite system in the role of management activities, the harmonious coexistence between the various components of the subsystem order parameter in order to achieve the overall effect of the system. The dynamic evolution process of consumers, e-commerce platforms and logistics enterprises is simulated and analyzed, and the optimal decision-making under the integrated collaborative innovation mode is studied. The results show that under the platform warehousing + distribution integration synergy (SP) mode, the double marginal effect is 0.865, and both e-commerce platform and logistics enterprises reach a steady state at 0.723. The purpose of this paper is to propose innovative supply chain management and logistics warehousing solutions that can achieve cross-border e-commerce logistics integration based on supply chain management.

Risk Management Strategies for Chip Supply Chain Disruption: Case Study of R Automotive Manufacturing Company

This article addresses the chip supply chain problems faced by the global automobile industry, takes R automotive manufacturing company as a case study, and thoroughly researches the risk of the out-of-supply of the key raw material, chips, in the automobile manufacturing industry and its impact on the production of the enterprise. The article explains the importance of supply chain management in modern enterprises and points out supply chain risks. Taking the automotive manufacturing industry as the background, the article discusses in depth the importance of micro-control units as the electronic control units of automobiles, analyses the competitive advantages of R enterprises in the new energy vehicle market, analyses the risk characteristics of chip out-of-supply as well as the challenges faced by R enterprises under the influence of the global epidemic and market uncertainty, and proposes the strategies for R enterprises to cope with the risk of chip out-of-supply, including the strengthening of supply chain cooperation, formulating a reasonable procurement mechanism, establishing a good supplier relationship, and promoting independent research and development of chips. Finally, the findings of this paper are summarized, and relevant suggestions are provided for automotive manufacturing enterprises to avoid the risk of chip supply shortage.

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.

Green Supply Chain Management Initiatives: A Perspective of Pakistani Automobile Industry

The rising interest in ecofriendly sustainability and green issues is obvious among investigators and professionals in the supply chain field. This study emphasis on examining and empirically evaluating the implementation of Green Supply Chain Management (GSCM) practices in the Pakistani automobile industry. A questionnaire-based survey was conducted to validate these green practices and performance outcomes. The survey gathered 25 complete replies from Pakistani automobile organizations, forming the basis for practical analysis. The independent variables for this present study were: Green Product Development and Design Practices, Green Purchasing Practices, Green Production Practices and use of Cleaner Technologies, Green Management Practices, Green Logistics Practices, Green Marketing Practices; while the dependent variable was Environmental Performance Outcome. Descriptive statistics were considered to assess the current status of GSCM practices. Furthermore, multiple regression analysis was also conducted to understand the impact of existing GSCM practices on anticipated organizational performance outcomes. The study's findings indicate that environmental performance exhibit improvement with the adoption of GSCM practices.

Multicriteria Decision-Making Framework for Supplier Selection: A Customer Community-Driven Approach

Supplier selection is the core of enterprise supply chain management. It involves a systematic evaluation of potential supply partners. Customer expectations for products and services are rarely considered when selecting suppliers. Considering customer factors in supplier selection faces many problems, including customer segmentation, importance ranking for customer requirements, and answering how customer requirements guide the supplier selection. For the above, a multicriteria supplier selection framework driven by customer communities is proposed. It includes three stages. In the first stage, a customer segmentation method is used to discover customer communities. In the second stage, the weighted interval rough number method quantitatively analyzes the customer requirements in each community, and then expert knowledge is integrated to determine the importance of supplier selection indicators. In the third stage, a genetic algorithm based on a stochastic tournament model is used to search for the optimal suppliers. A practical case study of a household refrigerator was conducted to illustrate the performance of our framework. A simulation experiment was designed to verify that our framework could update the supplier selection scheme according to changes in customer requirements in a dynamic scenario.

Program evaluation and review technique – Data envelopment analysis in benchmarking sustainable supply chain management of the potato chips industry

Supply chain benchmarking of agroindustry can be done by emphasizing the perspective of sustainability. This paper aimed to analyze the efficiency of Sustainable Supply Chain Management (SSCM) in Micro, Small, and Medium Enterprises (MSMEs) and provided a prospective benchmark with the potato chips industry as a study case. Program Evaluation and Review Technique (PERT) estimated future input and output values to obtain prospective benchmarks and be added to the DEA formula later. Analytical Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) methods were used to measure SSCM performance. The results showed that 17 of 20 Decision-Making Units (DMUs) were efficient (score 1). The other 3 DMUs were classified and got an efficiency score of 0.965, 0.955, and 0.995. In future estimates calculation, the efficiency score of one of the inefficient DMUs has changed to 1, while the other two got the scores of 0.996 and 0.980. The limitation of this research mainly comes from the scope of assessment, which is limited to the supply chain’s downstream sector and assesses only a limited number of MSMEs in a particular region. SSCM efficiency measurement variables were adjusted to be assessed and applied to MSMEs. PERT was also beneficial to gain future estimates of the assessment scope.

Research on Enterprise Supply Chain Management --- Taking Apple as an Example

The term supply chain management first appeared in the logistics literature in the mid-1980s. The goal of so-called supply chain management is to plan, implement and control in order to reduce production costs and improve production efficiency. This paper aims to analyze enterprise supply chain management. The supply chain involves most of the products in our lives. The paper starts by presenting an overview of supply chain and the importance of it. This paper chooses Apple as an example to analyze supply chain management. Apple is the world's leading high-tech company, which can offer me some experience. The supply chain was not pioneered by Apple, but they do a good job. In the supply chain, part of the enterprise's business is external, which reduces costs and improves production efficiency. Apple is consumer-oriented. Some businesses are external and so on, which makes it a win-win situation for him and his partners. But there are also some problems in Apple's supply chain management, such as excessive exploitation of downstream suppliers and neglect of employee rights and interests. Then this paper discusses how they make changes in order to improve supply management. Finally, we summarize how to effectively manage supply chains in businesses. Apple needs to pay attention to the low-end market, strengthen the supervision of suppliers, reduce the exploitation of suppliers, and truly protect the rights and interests of those suppliers' employees. In addition, it should shorten and optimize the supply chain to make the company's operations more stable.

Analysis of Supply Chain Management Solutions in Commodity Distribution Enterprises

At the present stage, at the level of supply chain management in the development of commodity distribution enterprises, supply chain management enterprises are located in the dominant position and have great rights in the overall supply chain management approach. If the commodity distribution enterprise holds strong influence, it will definitely cause the deterioration of the relationship between the specific commodity distribution enterprise and the supplier, thus invariably endangering the mutual gains. The strategic development plan of supply chain management of commodity distribution enterprises will be scientifically studied in this paper, and the current situation of supply chain management of commodity distribution enterprises will be introduced in detail, and the strategic development plan of optimized management will be formulated for the existing deficiencies to promote the stronger development of commodity distribution enterprises in the future. In general, improving the supply chain management countermeasures of commodity distribution enterprises, ensuring that commodity distribution enterprises and suppliers become excellent partners from supply chain management, analyzing and improving the development of strategic suppliers, and improving the relationship management between commodity distribution enterprises and suppliers will be beneficial to the economic benefits of commodity distribution enterprises.