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) data, aggregating data and preferences, and coordinating transactions and resource allocation. Examples include electronic auction markets, crowd-sourcing platforms, online labor markets, reputation mechanisms, e-voting systems, 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, experimental, and behavioral economics provide this understanding in the form of fundamental models about the equilibrium behavior of players in complex strategic environments. They offer valuable guidelines for modeling the behavioral patterns of humans, organizations, and society and for IS design. For example, game theory and experimental economics are central to the design of ad auctions, sharing platforms, and reputation mechanisms. Economic theory provides the basis for the design of policy measures to mitigate negative externalities created through “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 various interfaces between IS Design, Analytics and Economic Behavior. The workshop welcomes all researchers who typically attend conferences such as WISE, CIST, TEIS, and the Economics of IS and Data Analytics tracks at ICIS, ECIS etc. The workshop will feature up to three invited presentations in a single track. Generously planned time slots give room for in-depth, constructive academic debate. The workshop will conclude with a series of lightning talks to showcase current work-in-progress. 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.
Registration is required and will be available via Conftool.