Using a market to solve a hidden profile task under different information aggregation requirements.
Item
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Title
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Using a market to solve a hidden profile task under different information aggregation requirements.
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Identifier
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AAI3231954
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identifier
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3231954
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Creator
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Levine, Ilan M.
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Contributor
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Adviser: Richard Holowczak
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Date
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2006
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Language
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English
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Publisher
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City University of New York.
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Subject
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Business Administration, General | Information Science
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Abstract
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This research addresses how to help computer-mediated groups make better decisions. The task/technology fit theory prescribes combining two different technological support structures to achieve maximum group performance for a hidden profile task in which group members have incomplete information. The two technological structures are synchronous computer-mediated communication (chat), which provides communication support, and participation in an electronic market (e-market), which, provides information processing support. To our knowledge, a market-based tool has never been previously developed and used for small decision-making groups. This research examines the effect of chat and e-markets as technological support structures on group performance under different levels of information aggregation requirements. We have found evidence for information flows via an artificial stock market, but the net effect does not seem significant enough to affect group performance for this difficult task. While the technological support was found to cause differences in participants' perceptions of the process, there was no statistically significant difference with regards to group performance.
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Type
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dissertation
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Source
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PQT Legacy CUNY.xlsx
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degree
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Ph.D.
