This study addresses the challenge of exploring the dynamics of cross-organizational data sharing processes. The approach begins by using BPMN to model cross-organizational business processes. It then employs CPN Tools for formal modeling and simulation, thereby establishing a formal analysis framework for capturing the complexities inherent in dynamic collaborative data-sharing processes. Focusing on the railway industry, the study uses the case of handling obstructions encountered by the pantograph during high-speed train operations. This scenario exemplifies railway multi-Disciplinary collaborations, involving key stakeholders such as train operators, dispatch centers, and power supply departments. The process is characterized by stringent timeliness requirement sand complex cross-departmental collaboration. The study provides valuable insights for enhancing cross-organizational coordination efficiency and improving data sharing among multiple stakeholders.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Exploring the Dynamics of Cross-Organizational Data Sharing Processes: A Case of Railway Multi-Disciplinary Collaboration

  • Menghan Lv,
  • Ying Wang,
  • Jia Wei,
  • Chun Ouyang,
  • Lei Huang

摘要

This study addresses the challenge of exploring the dynamics of cross-organizational data sharing processes. The approach begins by using BPMN to model cross-organizational business processes. It then employs CPN Tools for formal modeling and simulation, thereby establishing a formal analysis framework for capturing the complexities inherent in dynamic collaborative data-sharing processes. Focusing on the railway industry, the study uses the case of handling obstructions encountered by the pantograph during high-speed train operations. This scenario exemplifies railway multi-Disciplinary collaborations, involving key stakeholders such as train operators, dispatch centers, and power supply departments. The process is characterized by stringent timeliness requirement sand complex cross-departmental collaboration. The study provides valuable insights for enhancing cross-organizational coordination efficiency and improving data sharing among multiple stakeholders.