Counterbalancing the Asymmetric Information Paradigm on High-Value Low-Frequency Transactions

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dc.contributor.authorHoksbergen, Mark
dc.contributor.authorChan, Johnny
dc.contributor.authorPeko, Gabrielle
dc.contributor.authorSundaram, David
dc.date.accessioned2020-01-04T08:09:04Z
dc.date.available2020-01-04T08:09:04Z
dc.date.issued2020-01-07
dc.description.abstractThis paper examines the impact of asymmetric information on the purchase of high-value infrequently traded assets. If a high-value asset is infrequently traded in a market its valuation becomes less predictable and more tension can exist between the vendor and the purchaser. Often the vendor possesses more knowledge of the asset, which leads to an asymmetric information paradigm between the two parties, nurturing a dark side of information and knowledge management. Using the New Zealand real estate industry as the context of a design science research study, a purchase decision process model for high-value infrequently traded assets has been developed. It aims to support the novice real estate purchaser to realise the potential pitfalls they should avoid. The study also calls for a unified system with codifiable, explicit information that can be used by all stakeholders in high-value infrequently transactions. Thus reducing the asymmetric information imbalance between vendor and purchaser.
dc.format.extent8 pages
dc.identifier.doi10.24251/HICSS.2020.576
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/64318
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIlluminating the Dark Side of Knowledge
dc.subjectasymmetric information
dc.subjectcommunication models
dc.subjectexplicit knowledge
dc.subjecthigh value low frequency transactions
dc.subjecttacit knowledge
dc.titleCounterbalancing the Asymmetric Information Paradigm on High-Value Low-Frequency Transactions
dc.typeConference Paper
dc.type.dcmiText

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