Methodology for Designing Decision Support Systems for Visualising and Mitigating Supply Chain Cyber Risk from IoT Technologies

This paper proposes a methodology for designing decision support systems for visualising and mitigating the Internet of Things cyber risks. Digital technologies present new cyber risk in the supply chain which are often not visible to companies participating in the supply chains. This study investigates how the Internet of Things cyber risks can be visualised and mitigated in the process of designing business and supply chain strategies. The emerging DSS methodology present new findings on how digital technologies affect business and supply chain systems. Through epistemological analysis, the article derives with a decision support system for visualising supply chain cyber risk from Internet of Things digital technologies. Such methods do not exist at present and this represents the first attempt to devise a decision support system that would enable practitioners to develop a step by step process for visualising, assessing and mitigating the emerging cyber risk from IoT technologies on shared infrastructure in legacy supply chain systems

A Systematic Literature Review of Supply Chain Resilience in Small–Medium Enterprises (SMEs): A Call for Further Research

In this article, with the increased disruptions faced by businesses and the occurrence of natural disasters in the world, supply chain resilience remains a major challenge especially for small- and medium-sized enterprises (SMEs). Despite the relevance of SMEs to the economy, there is limited scholarly work on resilience practices in SMEs and a limited understanding of how SMEs can achieve resilience. To understand the role of supply chain resilience in SMEs, we undertake a systematic literature review (SLR), which results in the identification and analysis of 101 journal articles, published between 2006 and 2019, on SME supply chain resilience. Our analysis into SME supply chain resilience highlights four focal areas: 1) the role of collaboration and culture; 2) the role of SMEs’ capabilities; 3) the role of Information Systems; and (4) the role of cost and financing. Our SLR investigation identifies future research directions and focal areas tailored to SMEs to help them to assess and develop their supply chain resilience

Cyber risk at the edge: Current and future trends on cyber risk analytics and artificial intelligence in the industrial internet of things and industry 4.0 supply chains

Digital technologies have changed the way supply chain operations are structured. In this article, we conduct systematic syntheses of literature on the impact of new technologies on supply chains and the related cyber risks. A taxonomic/cladistic approach is used for the evaluations of progress in the area of supply chain integration in the Industrial Internet of Things and Industry 4.0, with a specific focus on the mitigation of cyber risks. An analytical framework is presented, based on a critical assessment with respect to issues related to new types of cyber risk and the integration of supply chains with new technologies. This paper identifies a dynamic and self-adapting supply chain system supported with Artificial Intelligence and Machine Learning (AI/ML) and real-time intelligence for predictive cyber risk analytics. The system is integrated into a cognition engine that enables predictive cyber risk analytics with real-time intelligence from IoT networks at the edge. This enhances capacities and assist in the creation of a comprehensive understanding of the opportunities and threats that arise when edge computing nodes are deployed, and when AI/ML technologies are migrated to the periphery of IoT networks

Supply chain management in industrial production. A retrospective view

The article presents a retrospective review on key-issues about how the management discipline evolved up to the current view about supply-chain management (SCM) in industrial production. Specifically, the article resumes: a) the reasons that led to the transition from the traditional procurement policies to the SCM approach, b) the variables involved in the process of defining SCM relations and c) the key managerial principles underlying SCM policies and strategies. In the manufacturing industry the problem of organizing and managing firm’s relationships with supplier has recently become of an unprecedented complexity. The evolution of production systems started around the ‘80s, with the shift from the “flexible” paradigm to the “lean” one, has increased dramatically the intricacy of product and process architecture.. At the same time, the opportunities brought by the technological hybridization of products (that is: opportunities deriving from incorporating complementary technologies within products so to enhance its features and performance) gained a critical role as a competitive advantage. In our view supply chain management, as well as others managerial areas, has undergone a profound change; indeed, in the last 30 years the evolution of the industrial competitive environment has deeply modified the reference framework of supply-chain relationships even in common procurement and/or routine contracts. In the attempt to give an adequate response to changes in the competitive environment, supply policies evolve to become articulate relational strategies based on the strategic assessments of the role and the relevance of the various suppliers. The traditional approach to procurement management is combined with a perspective of value creation, a perspective that goes beyond the traditional “make-or-buy” criteria, since it introduces principles for the assessment of the strategic capability of the suppliers to create value for customer rather than to be able to fulfill its task for the firm. In such a view, firms operating in the same value-chain coordinate their strategies with a view to increase the overall value rather than compete for the allocation of the existing one. Firms’ network of suppliers and the relational capabilities assume a critical role in order to coordinate the value creation processes within the chain.Supply chain management, industrial management

Crossroads Rhode Island: Proposed Social Enterprise Business Plan

Crossroads Rhode Island provides their clients with a continuum of care that includes basic emergency needs, shelter, housing, case management and vocational services for individuals and families. In order to provide these services they rely on the generosity of their donors and supporters who have helped Crossroads to become the largest homeless services organization in Rhode Island. It is important to Crossroads that they stick to their core values of safety, respect, and effectiveness when helping the homeless or at-risk individuals and families secure stable homes

The Role of Knowledge Management in Supply Chain Management: A Literature Review

Purpose: The aim of this paper is to examine the state of knowledge management research in supply chain management from three standpoints, methodological approach, supply chain management area, and knowledge management processes. Design/methodology/approach: To achieve this, a systematic review is conducted over the period 2000-2014 on the basis of a qualitative content analysis. Findings: Major results showed that knowledge management can be viewed as a leverage mechanism for: (i) supply chain integration; (ii) the enhancement of intra and inter-relations across the supply chain; (iii) supply chain strategy alignment; and (iv) the reinforcement of knowledge transfer in product development. Some supply chain management areas such as reverse logistics, inventory management, forecasting/demand planning, outsourcing, and risk management have been explored only to some extent. Furthermore, knowledge transfer is being studied in the majority of the articles, mainly by both case study and survey approach; mathematical models and simulation techniques are used in very limited articles. Findings concerning theoretical perspectives and managerial issues are also described. Research limitations/implications: The limitation of our study encompasses the aspects of search period (2000-2014), selection of search databases (Web of Science and SCOPUS and language selection (English). Practical implications: The exhibition of the KM processes within the SC context may help practitioners and managers interested in implementing KM initiatives to replicate the methodologies in order to increase the possibilities of a successful KM adoption. Originality/value: The systematic review will contribute to the understanding of the present state of research in the knowledge management theory, with focus on the supply chain, as there are no state-of-knowledge studies that report a systematic literature review approach.Peer Reviewe