Three critical matters in big data projects for e-science: Different user groups, the mutually constitutive perspective, and virtual organizational capacity.
Kerk F. KeePublished in: IEEE BigData (2015)
Keyphrases
- big data
- user groups
- data science
- user information satisfaction
- project teams
- data analysis
- data intensive
- data management
- cloud computing
- search tasks
- business intelligence
- social media
- big data analytics
- information technology
- data processing
- information sources
- unstructured data
- vast amounts of data
- high volume
- end users
- project management
- information systems
- artificial intelligence
- knowledge discovery
- data warehousing
- case study
- decision making
- data mining
- massive data
- social computing
- organizational learning
- knowledge management
- software engineering
- data driven decision making
- business analytics
- information processing
- databases