Description
Information systems (IS) have evolved into business enablers that fundamentally change the (economic) behavior of market participants. “Enabling IS” mediate interactions among individuals and organizations by analyzing customer and other data, aggregating information and preferences, and coordinating transactions and resource allocation. Examples include electronic auction markets, crowd-sourcing platforms, online labor markets, reputation mechanisms, social media platforms, and recommender systems.
Designing “enabling IS” requires an in-depth understanding of how humans and organizations interact, and how the parameters of a decision situation shape its outcome. Game theory, along with experimental and behavioral economics, offers models for understanding the equilibrium behaviors of players in complex strategic environments. These methods can offer valuable guidelines for modeling the behavioral patterns of humans, organizations, and society and for IS design. For example, game theory and experimental economics inform the design of ad auctions, sharing platforms, and reputation mechanisms. Additionally, economic theory provides the basis for policy measures aimed at addressing negative externalities of “enabling IS” such as sharing platforms.
Beyond implementing economic models, designing “enabling IS” poses new challenges and creates new insights that feed back into theory: IS designers often face utility functions and design desiderata that are quite different from those described in economic textbooks. “Enabling IS” allow for the implementation and the evaluation of completely new designs that have not yet been described in the theoretical literature. Data generated by “enabling IS” combined with advanced analytics methods and innovative algorithms promise to deliver unexpected insights and detect unknown behavioral patterns, which in turn enrich economic theory and inform the design of “enabling IS”.
This workshop series focuses on research at the intersections of IS Design, Analytics and Economic Behavior. We welcome all researchers who typically attend conferences like WISE, CIST, TEIS, and ICIS or ECIS tracks related to the Economics of IS and Data Analytics. The workshop will feature up to three invited presentations in a single track with ample time allocated for in-depth constructive academic discussion. To celebrate the tenth anniversary of the workshop series, this year’s program will include a keynote and a panel discussion reflecting on the ISDAEB series and developments in the IS field. Early career researchers are especially welcome to participate in the workshop and to take part in the discussions. The ISDAEB workshop provides an excellent opportunity for interested IS researchers to connect, share insights, and discuss new research in depth.
Date
Sunday, September 14, 2025, 10:00–16:30
Target audience
Researchers (both early-career and senior) interested in the workshop topics
Registration
Registrations for the workshop are handled through ConfTool. The program will feature invited presentations.
Timeline
- Deadline for registration for the workshop: Friday, August 1, 2025
Workshop chairs
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