Supply Chain Security Management Research Articles

ANALYSIS OF THE USE OF BLOCKCHAIN AND SMART CONTRACT TECHNOLOGIES FOR MANAGEMENT AUTOMATION AND ENSURING BUSINESS RESILIENCE

Increasing competition, the need to enhance efficiency and transparency of business processes, as well as the requirements to ensure the security and reliability of operations, demand new tools and approaches for automating management and ensuring the sustainability of the enterprise. Currently, it is blockchain and smart contract technologies that are opening up vast opportunities for this. Therefore, the research is aimed at a comprehensive analysis of the features and directions of using blockchain and smart contract technologies for automating management and ensuring the sustainability of the enterprise. Within the research, it has been proven that the use of blockchain and smart contract technologies creates a flexible and secure process for developing conditions and strategies that allow an enterprise to function effectively and remain capable of ensuring its own progressive development even in conditions of high stochasticity, economic turbulence, or crises. It is concluded that among the main directions where the use of blockchain technologies for ensuring enterprise resilience is worthwhile, the following should be highlighted: supply chain management, balanced management, security management, and basic risk management, as well as managing relationships with customers and partners. In unity, these outlined directions establish the principles of automating enterprise management, enhance its ability to function effectively, and direct its progressive development. It is concluded that among the main directions where the use of smart contracts for ensuring enterprise resilience is beneficial, the following should be highlighted: access and security management, remote tracking of resource utilization, automation of production and commercial processes, improvement of customer service, and management of data processing workflows. In unity, these outlined directions establish the principles of enterprise management automation, guiding and expanding the enterprise's capabilities for progressive development. In the context of ensuring enterprise resilience, the goal of applying smart contracts and blockchain technologies can vary. However, the use of these outlined technological solutions should guarantee the enterprise's ability to withstand external and internal influences.

A Novel Algorithm for Cyber Security Analysis for Supply Chain Security

The Cyber Supply Chain (CSC) system is a multifaceted system with multiple subsystems carrying out distinct functions. The inherent vulnerabilities and threats from any portion of the system that can be exploited at any point in the supply chain make supply chain security difficult. This can cause a severe disruption on the overall business continuity. Thus, it is critical for organizations to comprehend and assess the risks in order to implement the appropriate supply chain security management measures. In order to analyse and forecast the risks based on the features of Cyber Threat Intelligence (CTI), we have combined CTI with Machine Learning (ML) approaches. To demonstrate the applicability of our approach, CTI data is gathered and a number of ML algorithms, i.e., Logistic Regression (LG), Support Vector Machine (SVM), Random Forest (RF) and Decision Tree (DT), are used to develop predictive analytics using the Microsoft Malware Prediction dataset. KEYWORDS: Cyber Supply Chain, Malware, Cyber Threat Intelligence, Machine Learning.

Enhancing Cyber Supply Chain Security through Prophetic Analytics for Cyber Threats

The Cyber Provide series system a multifaceted system with a multiple subsystems carrying out distinct functions. The potential weaknesses and risks originating out of a segment and arrangement that will manipulated at some stage in the provide series. make supply chain security difficult As a result, it is critical for organizations to comprehend and assess the risks in order to implement the appropriate supply chain security management measures. Using machine learning (ML) techniques in conjunction with cyber threat intelligence (CTI), we have been able To examine and predict potential risks using the characteristics of CTI. This makes it possible to pinpoint the innate CSC vulnerabilities and implement the proper countermeasures for an overall increase in cyber security. In order to show the practicality of our method, we collect CTI data and use the Microsoft viruses forecast dataset to produce prophetic investigation using several machine learning (ML) algorithms, The test considers the pounce and TTP as capture variable, while the measures of compromise and vulnerabilities are considered as output parameters, incorporating Decision Tree, Random Forest, Support Vector Machine. KEY WORDS Cyber Supply Chain; Cyber warning surveillance; Predictive Analytics, Cyber Safety, Tactical Methods Process

Exploring the Potential of Large Language Models in Supply Chain Management

This study aims to identify emerging topics, themes, and potential areas for applying large language models (LLMs) in supply chain management through data triangulation. This study involved the synthesis of 33 published articles and a total of 3421 social media documents, including tweets, posts, expert opinions, and industry reports on utilizing LLMs in supply chain management. By employing BERT models, four core themes were derived: Supply chain optimization, supply chain risk and security management, supply chain knowledge management, and automated contract intelligence, which provides the present status of LLM in the supply chain. The results of this study will empower managers to identify prospective applications and areas for improvement, affording them a comprehensive understanding of the antecedents, decisions, and outcomes detailed in the framework. The insights garnered from this study are highly valuable to both researchers and managers, equipping them to harness the latest advancements in LLM technology and its role within supply chain management.

Global Supply Chains Made Visible through Logistics Security Management

Background: For several years, two of the major concerns of logistics managers are (i) the visibility of global supply chains and (ii) the uncertainty in deciding which existing logistics security program is the most appropriate according to the security levels for their organization. This last decision is needed to ensure traceability and visibility of the supply chain. The purpose of this paper is to present an analysis of the main public and private supply chain security management programs in Latin America and the Caribbean. Methods: A qualitative and quantitative research methodology based on thematic content analysis is followed. The four main existing security programs in Latin America and the Caribbean are systematically compared and a common general framework is developed. Results: The analysis shows a high degree of similarity between the levels of security contained in the selected programs. Conclusions: We found that there is little guidance available for companies interested in managing security risks in their supply chains through these logistics’ security programs. This article contributes to the literature on logistics security programs that is currently gaining momentum in managing security risks in global supply chains and provides academic insights into the choice and/or complementarity of one or more logistics security programs.

Construction of Supply Chain Security Management Model for Information and Communication Technology Based on the Internet of Things and Cloud Computing

At the level of enterprise supply chain security management, with the rise of network technology big data technology methods such as the Internet of Things (IoT) and cloud computing, it has had a multi-level impact on its supply chain management mode, including operation mode, operation mode, and security management mode. The traditional supply chain management model is based on old-fashioned communication methods and manual intervention for judgment and processing. Information and communication technology has advantages such as immediacy and strong correlation. Based on this, this article applies the data interconnection technology of the Internet of Things to the construction of supply chain management models and combines it with efficient algorithms of cloud computing. This article also explores the construction of supply chain security management models from the perspectives of participants, activity modes, module operations, and conducts data comparisons based on them. The experimental results show that in the running tests of the model, its average accuracy is about 89.60%, and the prediction accuracy of benefits is as high as 98.48%. In stability testing, it is also evident that the average stability of the model after multiple iterations is about 96.02%. Research has shown that the Internet of Things and cloud computing technology have great application potential in the construction of supply chain security management, which can provide enterprises with more effective supply chain security management tools.

The Effect of Digital Transformation on the Pharmaceutical Sustainable Supply Chain Performance: The Mediating Role of Information Sharing and Traceability Using Structural Equation Modeling

As the global pharmaceutical market continues to expand, the demand for pharmaceutical supply chain is increasing. In the context of “Industry 4.0”, the pharmaceutical supply chain sector needs to accelerate digital construction. Pharmaceutical companies need to strengthen risk management in order to cope with supply disruptions. From the perspective of sustainable development, the pharmaceutical supply chain can achieve sustainable supply performance in social, economic and environmental dimensions through digital transformation. There is a lack of research on digital transformation of pharmaceutical supply chain management. Further research is needed on what specific digital management pharmaceutical companies need to enhance to improve supply performance. This study uses empirical analysis to examine the impact of digital transformation on sustainable supply chain performance and to explore the role of information sharing and traceability as mediators. The aim is to guide the pharmaceutical supply chain to clearly manage the development of digital transformation and obtain sustainable supply performance. This study presents hypotheses based on cutting-edge theoretical findings. In total, 298 Chinese pharmaceutical company supply chain managers were surveyed and Structural equation analysis was conducted using SPSS26.0 and AMOS24.0. The results show that digital transformation significantly and positively impacts sustainable supply chain performance. Traceability plays a mediating role. The mediating role of information sharing is not significant. However, information sharing and traceability as two separate trends can have synergistic effects that together affect sustainable supply performance. The conclusion is that the pharmaceutical supply chain should accelerate digital construction, eliminate the uneven development of digital technology among supply chain members, and reduce the impact of technological uncertainty on performance. Companies are enhancing supply chain security management through information sharing and traceability systems, and are continuously focusing on the role of digital transformation as a driver for sustainable development.

Disclosure Integration of Lean Six Sigma Principles in Sustainable Supply Chain in Poultry Industry

The poultry industry has been in the spotlight for its enormous potential economic development. However, poultry industry is still not implementing the concept of sustainability properly. There are still many wastes that have not been managed properly and there are still many problems in the supply chain that require more systematic handling. Many studies have shown that the implementation of Lean Six Sigma (LSS) and sustainability has positive results on the company's bottom line performance. This research tried to integrate the application of LSS principles and sustainability along the supply chain in the poultry industry in Indonesia. Data were collected from 4 listed poultry firms in Indonesia. The research method used SEM PLS with SmartPLS software. The results showed that supply chain security management system disclosure as the principle of LSS had a positive effect on the collaboration of supply chain disclosure and collaboration of supply chain disclosure had a positive effect on sustainability. The results also showed that risk management disclosure had a negative effect on the collaboration of supply chain disclosure and economic sustainability had a negative effect on environmental sustainability, but social sustainability had a positive effect on environmental sustainability. Based on the results of this study, there is a need to improve supply chain security management system and supply chain collaboration in order to advance sustainable poultry industry.

Analysis of Compliance and Supply Chain Security Risks Based on ISO 28001 in a Logistic Service Provider in Indonesia

Risk of goods and security incidents, such as theft, boycott, smuggling and terrorism are likely to occur in a shipping process, therefore risk controls are needed to reduce the adverse effects. A research on the supply chain security risk management based on ISO 28001 security supply chain is conducted to overcome such problems. The purpose of this research is to analyse compliance & supply chain security risks and propose a mitigation based on ISO 28001 in a logistic service provider in Indonesia. A gap analysis is conducted to assess the compliance of security performance in seven areas, i.e. supply chain security management, security plans, asset security, personnel security, information security, security of goods & conveyance and transportation units closed cargo. The result of the assessment showed that a compliance level of above 75% indicates that the company is ready to implement an ISO 28001. The risk mitigation plan is proposed based on Failure mode effect analysis (FMEA) which calculates the Risk Priority Number (RPN). The RPN value indicates the level of risk where the higher the value, the more critical the risk and become the priority to handle. The mitigation proposed for managing risk are reducing, sharing and avoiding.

Distributed Ledger Technologies in Supply Chain Security Management: A Comprehensive Survey

Supply chains (SC) present performance bottlenecks that contribute to a high level of costs, infiltration of product quality, and impact productivity. Examples of such inhibitors include the bullwhip effect, new product lines, high inventory, and restrictive data flows. These bottlenecks can force manufacturers to source more raw materials and increase production significantly. Also, restrictive data flow in a complex global SC network generally slows down the movement of goods and services. The use of distributed ledger technologies (DLT) in SC management (SCM) demonstrates the potentials to reduce these bottlenecks through transparency, decentralization, and optimizations in data management. These technologies promise to enhance the trustworthiness of entities within the SC, ensure the accuracy of data-driven operations, and enable existing SCM processes to migrate from a linear to a fully circular economy. This article presents a comprehensive review of 111 articles published in the public domain in the use and efficacy of DLT in SC. It acts as a roadmap for current and future researchers who focus on SC security management to better understand the integration of digital technologies such as DLT. We clustered these articles using standard descriptors linked to trustworthiness, namely, immutability, transparency, traceability, and integrity.

Supply chain security management: a citation network analysis

Supply chain security management: a citation network analysis

Supply chain security management: a citation network analysis

Security management has become a topical issue in supply chain management (SCM). Researchers are keen to address issues related to the prevention, mitigation, and recovery from security incidents and to the development of security management systems with cost efficiency consideration. This study presents a citation network analysis (CNA) of supply chain security (SCS) by analysing 143 sample SCS articles. Specifically, we conduct a cluster analysis and a main path analysis to identify the research clusters in SCS literature and show knowledge transformation in SCS chronically. We identify four research clusters, which are: 1) SCS conceptualisation and application; 2) security management systems; 3) transportation security; 4) terrorism, and the research gaps in each cluster are discussed in this review. This study helps reveal the current trend in SCS management research and suggest potential research directions for future study in SCS.

Research on Foreign ICT Supply Chain Security Management with Suggestions

Research on Foreign ICT Supply Chain Security Management with Suggestions

The Effects of Supply Chain Security Management on Performance through Certification and Reputation

There is a serious dearth of open literature that discusses food safety from the perspective of inter- and intra-organizational management; however, it was also observed that there has been no stud...

Impact of information security initiatives on supply chain performance

Purpose– The purpose of this empirical research is to attempt to explore the effect of information security initiatives (ISI) on supply chain performance, considering various intra- and inter-organization information security aspects that are deemed to have an influence on supply chain operations and performance.Design/methodology/approach– Based on extant information security management and supply chain security management literature, a conceptual model was developed and validated. A questionnaire survey instrument was developed and administered among supply chain managers to collect data. Data were collected from 197 organizations belonging to various sectors. The study used exploratory and confirmatory factor analysis for data analysis. Further, to test the hypotheses and to fit the theoretical model, structural equation modeling techniques were used.Findings– Results of this study indicate that ISI, comprising technical, formal and informal security aspects in an intra- and inter-organizational environment, are positively associated with supply chain operations, which, in turn, positively affects supply chain performance.Research limitations/implications– This study provides the foundation for future research in the management of information security in supply chains. Findings are expected to provide the communities of practice with better information security decision-making in a supply chain context, by clearly formulating technical, formal and informal information security policies for improving supply chain performance.Originality/value– In today’s global supply chain environment where competition prevails among supply chains, this research is relevant in terms of capability that an organization has to acquire for managing internal and external information security. In that sense, this study contributes to the body of knowledge with an empirical analysis of organizations’ information security management initiatives as a blend of technical, formal and informal security aspects.

Analytical hierarchy process to evaluate supply chain risk and security management

Assessment of supply chain risk and security criterion as an integrated area is important to enhance risk and security measures and hence achieve higher standards of risk enabled secured supply chain. This is possible by proper identification of key criterion and possible solution alternatives with significant measures of their weighted relationship. This paper aims to select the important criteria to assess the supply chain risk and security management (SCRSM) and evaluating alternative SCRSM strategies for proactive support. In this research, the objective is to provide a SCRSM framework and how the supply chain principles can actually be used to design and operate processes to assure supply chain risk and security. The novelty of this paper is the implementation of multi-criteria decision-making methodology to identify the important SCRSM criteria and sensitivity analysis for evaluation of alternative solution strategy. An analytic hierarchy process (AHP)-based multi-criteria decision-making methodology is employed to take into account both qualitative and quantitative factors to select important criteria and identification of right alternative strategy ascertain the supply chain risk and security. By using AHP methodology we could optimise the selection of risk and security alternatives followed by relevant choices for decision making with implication. The aim is to encourage more efforts in this domain for wider benefits.

Supply chain crime - taxonomy development and empirical validation

Supply chain security (SCS) management has been widely discussed among policy makers, supply chain practitioners and scientists since the terrorist attacks of September 11, 2001. However, the extant academic literature offers only a cursory look on crime problems associated with commercial supply chains. In this study, we collect qualitative data from 18 senior level managers to elicit their perceptions on crime threats and problems associated with their respective supply chains. The outcome of this study is empirically developed and validated supply chain crime taxonomy that categories crime problems into six non-overlapping and collectively exhaustive classes by using criminal intervention as the basis for classification. The validation is carried out in a case study with a Swiss postal operator.

Supply Chain Security Frameworks Utilization for Analysis and Design of Security Performance Evaluation System - Part 1

This paper deals with highly current topic of supply chain security with a focus on general supply chain security (SCS) frameworks. It analyzes two approaches to supply chain security and presents the author's future research focus in this area, which is aimed at expansion and completion of the general supply chain security management model and the creation of a security performance measurement tool. Such a measurement tool would allow complex comparison of security programs from an attained security level point of view. Initiatives currently aimed at security performance measurement and other perceivably immeasurable characteristics can be found in the areas of operational security and quality.

Establishing an integrated framework for security capability development in a supply chain

Securing supply chains have been thought as a critical issue for international supply chain management in recent years following the quality management. However, the supply chain security presently still focuses on a set of many individual measures rather than on a holistic approach. Therefore, to promote security capability effectively and systematically, an integrated framework must be established as guidance. This research would first make a comprehensive literature review, including both major international security regulations proposed by different organisations and academic literatures relevant to supply chain security management. Second, different organisations from different members across a supply chain are chosen for interviews to identify practices related to enhance security performance. Third, we summarise these findings and present the framework of security capability development (SCD). The analytic hierarchy process method is adopted to represent the hierarchical structure of SCD and the weights for dimensions, criteria, and alternatives are calculated.

The effect of supply chain security management on security performance in container shipping operations

PurposeThe aim of this study is to empirically identify crucial dimensions of security management in the container shipping sector in Taiwan and assess their impacts on security performance.Design/methodology/approachData for this study were collected by questionnaire survey. An exploratory factor analysis was performed to identify crucial security management dimensions in the container shipping sector. Multiple regression analysis was then performed to examine the effect of security management on the security performance.FindingsFour crucial security management dimensions were identified: facility and cargo management; accident prevention and processing; information management; and partner relationship management. Multiple regression analysis revealed that information management and partner relationship management had significant positive effects on safety performance, whereas partner relationship management had a significant positive effect on customs clearance performance.Research limitations/implicationsThis study primarily focuses on the effect of security management on security performance. Future research could identify the drivers and barriers to comply with supply chain security initiatives.Practical implicationsContainer shipping firms can improve safety and customs clearance performance by focusing security management efforts on facility and cargo management, accident prevention and processing, information management, and partner relationship management.Social implicationsGovernment administrators or other authorities may want to consider using crucial container shipping security management dimensions as criteria for assessing security performance in container shipping firms.Originality/valueThis study presented is the first to assess the effect of security management on security performance in the container shipping sector. Particularly, partner relationship management is found to be the key dimension for supply chain security success.