Authors: Ioannis G. Koliousis; Umair Tanveer; Shamaila Ishaq
Addresses: Coventry Business School, Coventry University, Coventry, CV1 5DL, UK ' Faculty of Social Sciences and Law, School of Management, University of Bristol, Howard House (Room 4.15), Queen's Ave, Bristol BS8 1SD, UK ' Faculty of Business, Law and Social Sciences, Derby Business School, University of Derby, Kedleston Road, Derby, DE22 1GB, UK
Abstract: Modern supply chains are critical in terms of efficiency, economic activities and commercial impact, particularly in case of security incidents. Inland terminals, commercial ports and dry ports constitute key gateways for the transportation flows in these modern supply chains and are require enhanced security procedures. This paper develops a framework that facilitates the sharing of information among various supply chain stakeholders, which is expected to improve the security level from a value chain perspective. In this context, we propose the upgrade of the current security strategies utilising existing processes, equipment in order to minimise time and cost currently needed but more importantly improving the level of security in the supply chain. A conceptual rule and role-based data fusion framework is developed enabling the seamless and timely exchange of messages. The proposed data fusion framework has a simple architecture that supports quick integration to either network-based, distributed systems or conventional stand-alone systems and adheres to common data fusion principles. The proposed framework considers different components (e.g., sensors, algorithms and fusing procedures) in an equipment agnostic approach so as to enable easy access and easy usage of security information.
Keywords: information systems; supply chain security; transport security; ICT; threat analysis; risk assessment; security awareness; data fusion; visibility; collaborative security.
International Journal of Value Chain Management, 2020 Vol.11 No.4, pp.346 - 365
Received: 02 Oct 2019
Accepted: 02 Mar 2020
Published online: 20 Oct 2020 *