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Purpose Decision support systems are becoming an indispensable tool for managing complex supply chains. The purpose of this paper is to develop a multi-agent-based supply chain management system that incorporates big data analytics that can exert autonomous corrective control actions. The effects of the system on supply chain agility are explored. Design/methodology/approach For the development of the architecture of the system, a sequential approach is adopted. First three fundamental dimensions of supply chain agility are identified – responsiveness, flexibility and speed. Then the organisational design of the system is developed. The roles for each of the agents within the framework are defined and the interactions among these agents are modelled. Findings Applications of the model are discussed, to show how the proposed model can potentially provide enhanced levels in each of the dimensions of supply chain agility. Research limitations/implications The study shows how the multi-agent systems can assist to overcome the trade-off between supply chain agility and complexity of global supply chains. It also opens up a new research agenda for incorporation of big data and semantic web applications for the design of supply chain information systems. Practical implications The proposed information system provides integrated capabilities for production, supply chain event and disruption risk management under a collaborative basis. Originality/value A novel aspect in the design of multi-agent systems is introduced for inter-organisational processes, which incorporates semantic web information and a big data ontology in the agent society.

This research addresses the fundamental question of whether providing a safe workplace improves or hinders organizational survival, because there are conflicting predictions on the relationship between worker safety and organizational performance. The results, based on a unique longitudinal database covering more than 100,000 organizations across 25 years in the U.S. state of Oregon, indicate that, in general, organizations that provide a safe workplace have significantly lower odds and length of survival. Additionally, the organizations that would, in general, have better survival odds benefit most from not providing a safe workplace. This suggests that relying on the market does not engender workplace safety. This paper was accepted by Charles Corbett, operations management.

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