Economics of Information Processing in Operations Organizations

dc.contributor.author Lederer, Phil
dc.date.accessioned 2019-01-03T00:52:51Z
dc.date.available 2019-01-03T00:52:51Z
dc.date.issued 2019-01-08
dc.description.abstract This paper studies a fundamental management question: how does information economics affect the organization of management? We view management hierarchies as tree-like structures designed to minimize real and opportunity costs related to information processing and decision making. “Line” production activities stand at the end nodes of a hierarchy tree. Data from these bottom nodes are processed and distributed to higher level nodes that combine information from the lower nodes. The question we ask is: “how do the real and opportunity costs of information processing affect the tree”. We solve for the optimal tree which includes the links and capacity at each of the nodes. Models are formulated on two underlying premises: complexity costs arise due to processing different types of data, and queuing effects due to data arrival and processing uncertainties create delay which is an opportunity cost.
dc.format.extent 9 pages
dc.identifier.doi 10.24251/HICSS.2019.810
dc.identifier.isbn 978-0-9981331-2-6
dc.identifier.uri http://hdl.handle.net/10125/60111
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject The Impact of Digitization on Business Operations
dc.subject Organizational Systems and Technology
dc.subject design of organizations, information economics and management control, management hierarchy, organization as an information processor, organizational economics
dc.title Economics of Information Processing in Operations Organizations
dc.type Conference Paper
dc.type.dcmi Text
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