Date of Degree

2-2016

Document Type

Dissertation

Degree Name

Ph.D.

Program

Business

Advisor(s)

Nanda Kumar

Richard Holowczak

Committee Members

Richard Holowczak

Robert Schwartz

Subject Categories

Management Information Systems

Keywords

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

Abstract

An Analysis Of Technological Features Enabled Management Of Information Facets.

By

Jim Samuel

Abstract

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.

 
 

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