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

Exploring inter-departmental barriers between production and quality

Purpose – The purpose of this paper is to demonstrate the value of adopting an organizational ecological perspective to explore behavioural barriers in a UK operations & production management (OPM) setting. Design/methodology/approach – An ethnographic case study approach was adopted with a narrative ecological stance to deconstruct the perceived realities and the origins of the inter‐departmental barriers applying Scott‐Morgan's unwritten rules methodology. Findings – Despite an improvement in the physical proximity of the production and quality control departments, the qualitative approach revealed that latent, socially constructed drivers around management, interaction and communication reinforced inter‐departmental barriers. Conflicting enablers were ultimately responsible derived from the organizational structure, which impacted the firm's production resources. Research limitations/implications – As a case study approach, the specificity of the findings to this OPM setting should be explored further. Practical implications – The paper demonstrates the use of theoretical frameworks in a production and manufacturing organization to provide insights for maximising process effectiveness. Using the organizational ecological perspective to uncover the socially constructed unwritten rules of the OPM setting beneficially impacted on operational effectiveness. Originality/value – The paper contributes to organization ethnography literature by providing a detailed empirical analysis of manufacturing and services behaviour using an organizational ecology perspective. The example demonstrates that “qualitative” research can have real world impact in an advanced operational context. It also contributes to an ecological or complex adaptive systems view of organizations and, inter alia, their supply chains