A Data-driven Human Responsibility Management System
  An ideal safe workplace is described as a place where staffs fulfill
responsibilities in a well-organized order, potential hazardous events are
being monitored in real-time, as well as the number of accidents and relevant
damages are minimized. However, occupational-related death and injury are still
increasing and have been highly attended in the last decades due to the lack of
comprehensive safety management. A smart safety management system is therefore
urgently needed, in which the staffs are instructed to fulfill responsibilities
as well as automating risk evaluations and alerting staffs and departments when
needed. In this paper, a smart system for safety management in the workplace
based on responsibility big data analysis and the internet of things (IoT) are
proposed. The real world implementation and assessment demonstrate that the
proposed systems have superior accountability performance and improve the
responsibility fulfillment through real-time supervision and self-reminder.
