  This research proposes implications of application functions by using the
chain traceability data acquired from the Smart Object attached with Extended
Real-time Data (SO-ERD: e.g. smart container, smart pallet, etc.) to improve
risk management at the level of the logistics chain. Recent applications using
traceability data and major issues in traceability systems have been explored
by an academic literature. Information is classified by the usage of current
traceability data for supporting risk detection and decisions in operational,
tactical, and strategical levels. It is found that real-time data has been a
significant impact on the usage for the transportation activity in all decision
levels such the function of food quality control and collaborative planning
among partners. However, there are some uncertainties in the aggregation of
event-based traceability data captured by various partners which are preventing
the adoption of data usage for the chain. Under the environment of Industry 4.0
and the Internet of Things (IoT), the SO-ERD enables independent data tracing
through the chain in real-time. Its data has potential to overcome current
issues and improve the supply chain risk management. Therefore, Implications of
risk management are proposed with the usage of SO-ERD data based on the
literature review which reveals current concerns of decision functions in the
supply chain. The implications can be an impact to the domain needs.
