Smart data and business analytics: A theoretical framework for managing rework risks in mega-projects
作者：
Highlights：
• The management of information has been overlooked when addressing rework.
• The need to classify and create an ontology to manage rework risks is identified.
• The information management challenges to create a rework ontology in mega-project are revealed.
• Machine learning used to demonstrate how rework data can be classified.
• Smart data and business analytics are used to develop a new theoretical framework for managing rework risks.
摘要
•The management of information has been overlooked when addressing rework.•The need to classify and create an ontology to manage rework risks is identified.•The information management challenges to create a rework ontology in mega-project are revealed.•Machine learning used to demonstrate how rework data can be classified.•Smart data and business analytics are used to develop a new theoretical framework for managing rework risks.
论文关键词：Business analytics,Machine learning,Rework,Risk,Smart data,Topic modelling
论文评审过程：Received 21 October 2021, Revised 6 February 2022, Accepted 7 February 2022, Available online 12 February 2022, Version of Record 12 February 2022.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2022.102495
