Graduation Year


Document Type




Degree Granting Department

Information Systems and Decision Sciences

Major Professor

Alan R. Hevner, Ph.D.

Committee Member

J. Ellis Blanton, Ph.D.

Committee Member

Terry L. Sincich, Ph.D.

Committee Member

Richard P. Will, Ph.D.


prediction markets, systems thinking, structuration theory, status reporting, project management, risk assessment, whistle-blowing, agency theory, design science


This dissertation employs both design science and behavioral science research paradigms to investigate an emerging form of technology-enabled human collective intelligence known as information markets. This work establishes a conceptual foundation for the study of organizational information markets and the design and use processes of information markets inside organizations.

This research conceptualizes markets from an information systems perspective and presents an information systems research framework for organizational information markets. This work develops a systems theory of information markets to facilitate investigation of the relationships and interactions between markets as systems and their context of use. It proposes a structuration model for design and use of IT artifacts in organizations and applies it to the study of information markets. A framework of market users is developed to guide market design to satisfy the different motivational and informational needs of market users. A design based solution is proposed to an important open question in the information markets literature; how to generate sufficient uninformed trades. This research extends structuration theory by developing the structuration model of technology-induced organization development.

A well-designed information market can generate several benefits to organizations that contribute to their growth and development. Due to the importance of software in everyday life, and the high costs and percentages of failure in software projects, this dissertation proposes an information market solution to help organizations better manage the risks facing software projects. It also develops a theoretical framework for the determinants of software project risk assessment accuracy and evaluates the market‘s efficacy in improving assessment accuracy via the use of controlled laboratory experiments.

The results of the experiments demonstrate the market‘s efficacy in improving assessment accuracy by increasing the currency, accuracy and completeness of reported status information about project main objectives such as cost, schedule, performance and functionality. The results also demonstrate the market‘s efficacy in increasing individual willingness to report negative status information by decreasing their perception of information asymmetry between them and management/clients, and by increasing their perception of both the anonymity of the reporting mechanism and their perceived self-interest in reporting negative status information.