The ecosystem concept is increasingly used in explaining the complexities of interconnected business and innovation activities at various levels (regional, national, global). With a rapidly changing business environment, fast product cycles, blurring industry boundaries, and decreasing average life expectancy of today's enterprises, scholars and practitioners have a sense of urgency to find effective methods to understand, communicate, and manage ecosystem complexity. This minitrack will address theory, research, and practice in empirical, analytical, and computational approaches for ecosystem orchestration.
We invite theoretical and empirical perspectives from business, policy, computational sciences, and social sciences. We also welcome research using experimental and simulation methods as well as case studies of analytics and decision support systems used for ecosystem orchestration by scholars and practitioners. Topics include, but not limited to:
Theory/Models
- Theories, frameworks, and models of ecosystems
- Structure, dynamics, and transformation of ecosystems
- Roles of stakeholders and diversity in ecosystems
- Ecosystem orchestration strategies and metrics
- Simulation and computational models of ecosystems
- System leadership in ecosystems
Methods
- Development and interpretation of ecosystem metrics
- Social network analysis of ecosystems
- Visualization and visual analytics for decision making in ecosystems
Experimental and Case Studies
- Case studies of analytics and decision support in ecosystems
- Case studies of business and innovation ecosystems
- Collaboration systems for multi-stakeholder decision support in ecosystems
- Data-driven/evidence-based decision support in ecosystems
Applications
- Challenges in decision support in ecosystems: the business perspective
- Challenges in decision support in ecosystems: the policy perspective
- Storytelling, narrative structures and visualizations for ecosystem description
More details including submission instructions can be found at https://ien.stanford.edu/hicss2016
Relevant top minitrack papers will be invited for "fast-track" submissions to the Journal of Enterprise Transformation (JET).
-- Rahul C. Basole, Ph.D.
Editor-in-Chief, Journal of Enterprise Transformation
Visiting Scholar, Stanford University
Associate Professor, School of Interactive Computing
Associate Director, Tennenbaum Institute
Georgia Institute of Technology Atlanta, Georgia 30332
t: @basole