Supply Chain Management Information Research Articles

Business analytics affordances for supply chain value creation: A technology-organization-environment perspective

Despite the potential of business analytics (BA) in supply chains, many firms struggle to effectively integrate and leverage BA in their supply chains, leading to underutilized data and missed opportunities for optimization. Therefore, this study utilizes an affordance perspective to study the actualization of BA affordances within supply chains. We conduct a multiple case study analysis, interviewing 28 individuals across nine companies. Our investigation uncovers a hierarchy of intertwined affordances facilitating supply chain information management, cooperation, and customer-focused solutions. Significantly, we highlight the unique influence of technology, organization, and environmental (TOE) factors in shaping affordance actualization. As a result, we argue against generic prescriptions for BA affordance actualization, instead promoting a more tailored approach informed by specific TOE factors tied to each individual supply chain. Our work advances technology affordance research by explaining affordance actualization within supply chains and highlighting the dynamic interplay between TOE factors and BA affordance actualization. Subsequently, our research offers a nuanced understanding of BA implementation, demonstrating how tailored BA strategies can enhance supply chain optimization, cooperation, and customer-centric solutions, ultimately driving value creation for supply chains.

Management of drug supply chain information based on "artificial intelligence + vendor managed inventory" in China: perspective based on a case study.

To employ a drug supply chain information system to optimize drug management practices, reducing costs and improving efficiency in financial and asset management. A digital artificial intelligence + vendor managed inventory (AI+VMI)-based system for drug supply chain information management in hospitals has been established. The system enables digitalization and intelligentization of purchasing plans, reconciliations, and consumption settlements while generating purchase, sales, inventory reports as well as various query reports. The indicators for evaluating the effectiveness before and after project implementation encompass drug loss reporting, inventory discrepancies, inter-hospital medication retrieval frequency, drug expenditure, and cloud pharmacy service utilization. The successful implementation of this system has reduced the hospital inventory rate to approximately 20% and decreased the average annual inventory error rate from 0.425‰ to 0.025‰, significantly boosting drug supply chain efficiency by 42.4%. It has also minimized errors in drug application, allocation, and distribution while increasing adverse reaction reports. Drug management across multiple hospital districts has been standardized, leading to improved access to medicines and enhanced patient satisfaction. The AI+VMI system improves drug supply chain management by ensuring security, reducing costs, enhancing efficiency and safety of drug management, and elevating the professional competence and service level of pharmaceutical personnel.

How to Improve Supply Chain Information Management with Artificial Intelligence

How to Improve Supply Chain Information Management with Artificial Intelligence

Mediation of integrations in supply chain information management and supply chain performance: an empirical study from a developing economy

Purpose This study aims to investigate how the management of supply chain information impacts the performance of the supply chain. This relationship is explored by considering the mediating influence of internal and external integration, which is underpinned by the principles of resource-based theory. Design/methodology/approach Data was collected from 144 supply chain professionals across different manufacturing companies. The proposed hypotheses were subjected to quantitative analysis using partial least squares structural equation modeling, and the validity of the measurement model was assessed with the assistance of SmartPLS software. Findings This study identified that information management (IM) significantly and positively affects internal integration (II), customer integration (CI) and supply chain performance (SCP). Similarly, the results showed that II significantly and positively affects SCP. Likewise, CI positively and significantly affected SCP. At the same time, II found a positive yet significant mediating role in the relationship between IM and SCP. CI was found to play a positive but insignificant mediating role in the relationship between IM and SCP. Originality/value This research evaluated a second-order model and tested the SCP in conjunction with the resource-based view in the manufacturing industry. This research could be beneficial for researchers, manufacturers and policymakers to attain organizational objectives by implementing an efficient IM system for better integration and SCP.

The Application of Integrating Data Mining and IoT Management Technology in Enterprise Supply Chain Information Management

The Application of Integrating Data Mining and IoT Management Technology in Enterprise Supply Chain Information Management

중국 전자제품 제조기업의 SCM 정보통합 역량이 파트너십과 위험관리성과에 미치는 영향

In the recent global business environment, the development of 4th Industrial Revolution technology has profoundly changed the way companies operate and the market competitive landscape. In a rapidly changing era, smart customer management is identified as one of the key elements of corporate success, and especially in the field of supply chain management(SCM), the realization of customer relationship management through improvement of information integration capabilities is important. In this context, the purpose of this study is to reveal the relationship between SCM information integration capabilities, partnerships, smart customer relationship management, and risk management performance for electronics manufacturing companies in Shandong Province, China. The target of this study is an electronics manufacturing company in Shandong Province, China that uses SCM. To collect appropriate data, member lists such as the Shandong Province Foreign Economy and Trade Enterprise Association and the Shandong Province Electronics Association were used. For the empirical analysis, SPSS Ver. 28.0 was used for factor analysis, and Process Macro Ver. 4.2 was used for mediation and moderation effect analysis., As a result of the analysis, it was found that SCM information integration capability has a positive effect on risk management performance, and partnership mediates this relationship. And the electronics manufacturing company's smart customer relationship management showed a positive moderating effect on the relationship between partnerships and risk management performance. This study is significant in that it identified the importance of SCM information integration capabilities and identified the role of interaction with partners and smart customer relationship management.

Organizational capabilities and SSCM: a bibliographic review and cluster analysis

Purpose The purpose of the study is to perform a scientific mapping and detect the evolution pattern of two emerging fields, organizational capabilities and sustainable supply chain management (SSCM), to detect and visualize the existing conceptual domains and identify less-explored areas.Design/methodology/approach This study uses a methodological combination involving systematic literature review and bibliometric analysis. The methodology was implemented in the following order: definition and selection of the material using an electronic database, descriptive analysis of the material, category selection using bibliographic coupling analysis by VOSviewer (clusterization), material evaluation and content analysis.Findings The research results clarify the intellectual structure within the academic field. The authors’ identified three main clusters: (1) sustainable capabilities and practices in supply chain management (SCM), (2) green SCM and performance and (3) information technology and innovation. The findings reveal that there is a rich field to be explored, especially regarding issues involving sustainable technological capabilities, sustainable initiatives and key resource development.Practical implications This study facilitates researchers’ and practitioners’ understanding and their ability to map the different paths and evolution of SSCM and organizational capabilities. It can encourage managers and policymakers alike to conceive new approaches to engage in the adoption of SSCM.Originality/value This work employs a singular approach to identify the intellectual knowledge and topics related to the implementation of SSCM by adopting the theoretical approach of sustainable organizational capacity. It contributes to the debate on distinguishing specific sustainable organizational capabilities from traditional capabilities.

Guest Editorial: Special issue on machine learning and deep learning algorithms for complex networks

Guest Editorial: Special issue on machine learning and deep learning algorithms for complex networks

Aggregation operators and CRITIC‐VIKOR method for confidence complex q‐rung orthopair normal fuzzy information and their applications

AbstractSupply chain management is an essential part of an organisation's sustainable programme. Understanding the concentration of natural environment, public, and economic influence and feasibility of your suppliers and purchasers is becoming progressively familiar as all industries are moving towards a massive sustainable potential. To handle such sort of developments in supply chain management the involvement of fuzzy settings and their generalisations is playing an important role. Keeping in mind this role, the aim of this study is to analyse the role and involvement of complex q‐rung orthopair normal fuzzy (CQRONF) information in supply chain management. The major impact of this theory is to analyse the notion of confidence CQRONF weighted averaging, confidence CQRONF ordered weighted averaging, confidence CQRONF hybrid averaging, confidence CQRONF weighted geometric, confidence CQRONF ordered weighted geometric, confidence CQRONF hybrid geometric operators and try to diagnose various properties and results. Furthermore, with the help of the CRITIC and VIKOR models, we diagnosed the novel theory of the CQRONF‐CRITIC‐VIKOR model to check the sensitivity analysis of the initiated method. Moreover, in the availability of diagnosed operators, we constructed a multi‐attribute decision‐making tool for finding a beneficial sustainable supplier to handle complex dilemmas. Finally, the initiated operator's efficiency is proved by comparative analysis.

Customer momentum research based on centrality of supply chain network

In recent years, the global supply chain system is being affected by huge chain reaction, thus, it is of great practical significance to study customer momentum. Based on the supply chain network data disclosed by Chinese A-share listed companies from 2011 to 2019, this paper uses edge betweenness centrality as a representative index of supplier-customer network centrality to explore the moderating effect of edge betweenness centrality on the impact of customer stock price changes on supplier stock price changes. It is found that the change of customer stock price has a significant positive correlation with the change of supplier stock price in the next month, and the higher supplier-customer edge betweenness centrality degree, the more significant the positive correlation. This conclusion is robust, and low supplier concentration will enhance the moderating effect of this indicator. Additionally, the new customer momentum factor can be further constructed by using the edge betweenness centrality. The research of this paper provides a new applicable situation for the transmission of customer momentum, helps to enrich the literature related to supply chain information management and realize the mining of Alpha in supply chain data.

Working Smarter, Not Harder: Using Data-Driven Strategies to Generate Front-End Cost Savings through Price Negotiation and Supply Chain Optimization.

Supply chain optimization is an effective method of generating front-end cost savings and increasing hospital profits. Through the negotiation and renegotiation of supply chain contracts, plastic surgeons can dramatically change the price at which they purchase surgical supplies and implants. This study characterizes the potential impact of supply chain optimization and puts forth a generalizable, systematic approach for successful sourcing. From October of 2017 to September of 2018, the authors examined all patients taken to the operating room for either a facial fracture or a hand fracture. Cost data were collected, Supply Chain Information Management numbers were used to determine whether each item used during the study period was under contract, and cost savings based on contract negotiation were calculated. Potential cost savings were calculated using the BillOnly calculator. For the 77 facial trauma cases and 63 hand trauma cases performed, a total of 330 items (70 distinct items) were used, 47 percent of which were under contract (47 percent contract use), with an average negotiated discount of 49 percent. Based on BillOnly material cost estimates, the authors' institution would need to increase its contract use to 70 percent to achieve a net savings of 19 percent, and to 90 percent to achieve a net savings of 39 percent. The authors also estimated that if contract use increased to 90 percent, net savings would increase commensurately with increases in the average discount negotiated. Supply chain optimization offers plastic surgeons the potential to significantly decrease surgical costs while maintaining surgical quality.

Identifikacija i ublažavanje poremećaja globalnih lanaca snabdevanja u uslovima neizvesnosti

Organizations face a number of decisions in designing their supply chains, which include the number, type and location of production facilities, distribution centers, retail facilities, service or technical support centers, supplier selection, supply chain information management and integration of all parts. into an efficient and effective system. Improper supply chain design can undermine an organization's strategy, lead to lower revenues, less competitiveness, market share and profits. As product lines and markets change or expand, the design or redesign of supply chains becomes an even more critical issue. The risks to which supply chains are exposed are different, and their functioning can be disrupted by a number of situations, which have had serious global consequences in the past. In addition to wars, nuclear accidents, cataclysmic earthquakes, volcanic eruptions, explosions, fires and tsunamis, epidemics of SARS, MERS, HIV, Ebola and Zika viruses, as well as the latest Covid-19 pandemic, have led to the knowledge that humanity is powerless in the face of such catastrophes. Regardless of the achievements in science, extensive and long-term medical research, epidemics (pandemics) have taken millions of lives and had negative effects on society as a whole, but also on the efficiency of business and supply chains. Past epidemics have attracted the attention of scientists and industry experts, resulting in the need to reengineer organizations and adjust supply chains to future challenges. In the context of the current pandemic, serious disturbances have been reported, so a large number of industries have had unprecedented consequences. Responses to such epidemics suggest that global supply chains need to be more integrated and digitally ready. Digitization of supply chains could improve the quality of responses to epidemic-related disorders by increasing their flexibility in such circumstances. This paper identifies the most important disruptions and measures to mitigate the consequences of these disruptions in global supply chains, as well as risk management in conditions of uncertainty.

Understanding the Value of Information in Supply Chain Management

Supply chain is a composite structure which integrates logistics, capital flow and information flow. It connects manufacturers, retailers, until the end consumers. Traditional supply chain companies only focus on logistics and capital flow, but often neglect information flow. The information flow is the flow of information throughout the supply chain. It is a virtual form, including the supply and demand information and supply chain management information. Company ignores information flow resulting in serious information asymmetry, leading to the lack of coordination of supply chain operations, supply chain information distortion, and mutual trust between the enterprises. The information has a high value in supply chain, and it is important to supply chain. This paper will discuss the value of information in supply chain and try to find the best way to improve the value of information in supply chain.

Pandemic turned into pandemonium: the effect on supply chains and the role of accounting information

PurposeThe purpose of this study is to examine the disruptive effects of COVID-19 on supply chains and question the role of accounting information in managing these supply chains in the face of such disruptive effects.Design/methodology/approachThe study first explains the effects of COVID-19 on the supply chains of business entities. It then explains the role of accounting information in supply chain management, questions accounting information's ability to play such a role, and makes recommendations for better accounting disclosures and accounting research for supply chains of firms. To illustrate the salient points, a case study of Fisher and Paykel Healthcare is conducted. It identifies the risks and uncertainties of supply chains exposed by COVID-19 disruptions to businesses.FindingsCOVID-19 has affected Fisher and Paykel Healthcare from both the supply-side (upstream) and demand-side (downstream) perspectives. On the supply side, it has disrupted the supply of raw materials used in the manufacture of respiratory devices and the costs of importing such materials. On the demand side, it has disrupted market logistics and customer demand. This has subsequently affected production. Such disruptions can be overcome through the dissemination of appropriate accounting information for the different stages of the supply chain to the managers. Such accounting information can also be useful to external stakeholders for minimizing their risks.Originality/valueThe study attempts to create an awareness of the supply chain uncertainties faced by managers and stakeholders arising from exogenous shocks, such as a pandemic, and how these uncertainties can be mitigated by aligning accounting information flows with the supply chain activity flows. The observations made in this paper are at a conceptual level and, therefore, can be applied to any industry.

QR code-based material flow monitoring in a subcontractor manufacturer network

Principal manufacturers suffer from uncertainty as they lack up-to-date information on their orders in supply chains (SCs). The current era of digitalization offers many solutions to monitor order statuses through integrated information systems. However, the requirements to implement such systems are high for the companies and they still prefer personal interactions with suppliers. This paper proposes a QR code-based order monitoring system in a subcontractor manufacturer network. The objective of the study is to assess the technological and operative maturity of the system in real SCs. A prototype system was built and demonstrated to representatives from Finnish companies in a virtual workshop. The feasibility study showed that the QR code-based monitoring system is practical and promising. The companies, however, recognize that its implementation would be challenging from both the technical integration and subcontractor adaptation points of view. The results obtained give insights into modern information management in SCs and suggest areas of interest for further studies.

Uticaj COVID-19 na menadžment lancima snabdevanja hotelskih preduzeća

The COVID-19 virus pandemic appeared to be a low-probability, high-impact event that has caused significant disruptions in supply chains worldwide. The hotel industry has been one of the most severely affected, with all participants in the supply chain suffering from the crisis. This paper aims to analyze if, and to what extent, hotels in the Republic of Serbia have faced difficulties in supply chain management (SCM) due to the COVID-19 virus pandemic, with special reference to the difficulties in introducing information and communications technologies (ICTs) for SCM. Empirical research was conducted in May, 2021 involving managers from 40 hotel companies categorised as 4-and 5-star. The study results reveal that majority of hotel companies have experienced difficulties in SCM and implementation of ICTs for SCM due to the pandemic, while the intensity of difficulties is not found to be correlated with hotel size, category and affiliation.

A blockchain-based rice supply chain system

With the continuous development of blockchain technology, “blockchain+” has gradually evolved into a new form of social and economic development. Blockchain technology can be applied to the rice supply chain management field. Consider integrating the encryption algorithm, timestamp technology, consensus algorithm, and sidechain technology of blockchain with the rice supply chain, analliance chainbetween companies upstream and downstream of the supply chain, including producers, suppliers, and vendors can be built to create a safe and efficient supply chain information management. This information system uses the unique encryption technology of the blockchain and its unforgeable features of irreversibility and decentralization to help the supply chain break the current bottleneck, solve the problem of information security in the rice supply chain and realize the practical traceability of rice. At the same time, the involvement of the blockchain will also open up new opportunities for supply chain finance and bring about fundamental changes in supply chain management.

Application of Information and Technology in Supply Chain Management: Case Study of Artificial Intelligence – A Mini Review

It is wide known that the world has been moving towards a digital future over the years, and Industry 4.0 technologies are considered to be the way of the future. One of the most prominent of these technologies (including Block Chain, Internet of Things, Cloud Computing, Big Data, etc.) is Artificial Intelligence (AI), was introduced to develop and create “thinking machines” that are capable of mimicking, learning, and replacing human intelligence. However, its widespread acceptance as a decision-aid tool, AI has seen limited application in supply chain management (SCM). The purpose of this work is to identify the contributions of AI to SCM through a brief review of the existing literature. Besides, this paper reviews the past record of success in AI applications to SCM and identifies the most subfields of SCM in which to apply AI.

Blockchain Traceability Valuation for Perishable Agricultural Products Under Demand Uncertainty

Various perishable agricultural products are recalled due to harmful health risks. Blockchain has been used to reduce the amount of such products wasted and disposed. Specifically, a supply chain with a wholesaler, a retailer, and customers is considered where the retailer decides when to switch from a conventional supply chain information management system (SCIMS) to a blockchain-based SCIMS. This article models the uncertain customers' demand as a geometric Brownian motion process and shows how to obtain the optimal demand threshold above which the switch occurs and the corresponding expected time. Next, the model is extended by incorporating two types of government subsidies (i.e., a fixed subsidy on the switching cost and a variable subsidy per unit demand). Through sensitivity analysis and numerical studies, the impacts of key parameters on the optimal demand threshold and expected time of switching are presented. Finally, managerial insights and policy implications are derived.

A Conceptual Framework for Collaboration in Business Schools

Collaboration partnerships within higher education have been shown to enhance educational experiences for students and excite faculty who have the opportunity to innovative in their classrooms. Additional benefits for students include meaningful participation in group or team assignments that will prepare them for significant and successful participation as a member of a global workforce. While many organizations realize the advantages of a cross-disciplinary approach, business schools have been slow to adopt this mindset. Using the two business majors of supply chain management and computer information systems that are meeting a 21st century skillset of technology knowledge and information transfer, this paper addresses the need for collaboration in business schools and proposes a conceptual framework to assist business schools as they consider their collaboration efforts.