The purpose of this workshop is to shed some light on how big data and business analytics tools are reshaping contemporary companies. The focus is on how companies should optimally deploy and exploit big data as part of their competitive strategies, as well as how the analytic methods, tools, and techniques are best utilized for supporting business operations. The workshop will be revolved on themes such as how big data are effectively leveraged in a range of contexts and industries (e.g. technology, retail, oil and gas, health care, telecommunications), and what critical factors drive successful diffusion. Papers that address topics on how information sources, technological infrastructure, human skills and knowledge, organizational/team structures, and management practices coalesce to achieve desired ends, are of increased interest. Furthermore, outcomes that demonstrate the organizational impact of big data and business analytics in terms of competitive performance, innovativeness, increased agility, and market capitalizing competence are encouraged. Emphasis will be placed on interdisciplinary papers that bridge the domains of organizational science, information systems strategic management, information science, marketing, and computer science. In addition, the workshop seeks to address the novel digital business strategies that emerge as part of these new technologies, and particularly the entrepreneurial wave and start-up business models that transpire.

Topics of interest
Suggested topics include, but are not limited to big data and business analytics:
- Emerging concepts and methodologies on big data and analytics
- Big data and management
- Organizational learning and innovation from big data and business analytics
- Data-driven competitive advantage
- Human resource management in the data-driven enterprise
- Big data digital business models
- Proactive strategy formulation from big data analytics
- Data and text mining for business analytics
- Big data and analytics to create business value
- Social media analytics for business
- Data quality improvement for business analytics
- Big data and its impact on business strategy-formulation
- Digital ecosystem big data

Submissions
- Full research papers: max. 12 pages
- Research in progress: max. 7 pages