Date of Degree


Document Type


Degree Name





Nanda Kumar


Richard Holowczak

Committee Members

Richard Holowczak

Robert Schwartz

Subject Categories

Management Information Systems


Information management, information systems, equivocality, overload, electronic markets, big data equity markets simulation


An Analysis Of Technological Features Enabled Management Of Information Facets.


Jim Samuel


Information age and big-data phenomena have created numerous and complex challenges in the form increasing information overload, information uncertainty and equivocality of information. Amidst this unparalleled deluge, it has become critical for organizations to optimize their information management efforts. Simultaneously, the growth of intelligent technologies has presented new opportunities for the use of technology-enabled features to process, comprehend and address informational challenges in meaningful ways. Past research has prioritized the importance of managing equivocality over other information facets. Equivocality of information, given its inherent and often conflictive multiplicity of meaning, can lead to significant loss of decision quality. Therefore the present research focuses on the role of technological feature enabled management of two important IS research relevant information facets (information equivocality and information overload), model types used in electronic markets (deterministic and probabilistic) and equity market specific information categories (price-only information, public information and private information). In the first two experimental studies, the present research develops an in depth analysis of equivocality, by examining how it interacts with information overload and model types in impacting performance. The third study examines whether private and public information based trading will lead to greater price dispersion than public and trading-system information based trading, respectively. The present research will provide impetus to improving the efficiency of information management and model selection across information driven environments, electronic markets and organizations.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.