Theory building with big data-driven research – Moving away from the “What” towards the “Why”
作者：
Highlights：
• Data driven research based on big data is creating an existential challenge in IS research.
• There is a need to move beyond “what the big data represents” to the “why it is so”.
• Methodological adaptations have been proposed in this opinion article for theory building.
• Directions are provided for grounding findings to contribute to IS discipline through theory building.
• Gaps in existing approaches with guidelines for future research is proposed.
摘要
•Data driven research based on big data is creating an existential challenge in IS research.•There is a need to move beyond “what the big data represents” to the “why it is so”.•Methodological adaptations have been proposed in this opinion article for theory building.•Directions are provided for grounding findings to contribute to IS discipline through theory building.•Gaps in existing approaches with guidelines for future research is proposed.
论文关键词：Big data analytics,Image mining,Network mining,Sentiment analysis,Text mining,Inductive theory building,Machine learning,Information management,Data science,Review
论文评审过程：Received 30 June 2020, Revised 16 July 2020, Accepted 16 July 2020, Available online 23 July 2020, Version of Record 23 July 2020.
论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2020.102205
