The massive accumulation of information known as big data – 2.5 quintillion bytes of data are created every day – has brought benefits and competitive advantages to many businesses. However, it has also presented new challenges in technology, management and social issues.
Big data calls for new models, data standards and data infrastructure and advanced business analytics tools. It also calls for new change management theory and practice dealing with increased security risks and privacy issues.
The special issue welcomes a multidisciplinary approach to change management from fields ranging from psychology, behaviour science, management science and decision sciences to information systems and computer science. Preference will be given to high-quality papers that have a firm grounding in scientific and theoretical foundations. Case study research is acceptable, although theoretical papers that bridge the gap between theory and practice are most welcome.
We encourage submission of high-quality papers addressing issues involving change and management of change in developing and managing big data analytics models, frameworks and sociological issues. Suitable topics include but are not limited to:
- Business strategies for the big data era
- Management of big data infrastructure
- New data standards
- Big data quality management
- Database management challenges: architecture, storage and user interface
- Big data search and mining
- Big data security, integrity and privacy standards and policies
- Intrusion detection
- Privacy threat of big data
- High-performance cryptography
- Big data visualisation
- Business analytics
- Big data in health informatics
Full paper deadline: 20 February, 2014
Notification of acceptance and review results: 20 April, 2014
Revised submission deadline: 20 May, 2014
Notification of acceptance: 1 June, 2014
Final version deadline: 12 June, 2014
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