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dc.contributor.authorVeselý, Štěpán
dc.contributor.authorDohnal, Mirko
dc.date.accessioned2016-06-13T13:10:30Z
dc.date.available2016-06-13T13:10:30Z
dc.date.issued2016
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2016, č. 2, s. 201-213.cs
dc.identifier.issn1212-3609 (Print)
dc.identifier.issn2336-5604 (Online)
dc.identifier.urihttp://www.ekonomie-management.cz/download/1465542808_4989/14_FORMALIZED+QUALITATIVE+MODELING+OF+ONLINE+TRUST.pdf
dc.identifier.urihttp://hdl.handle.net/11025/21504
dc.format13 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.relation.ispartofseriesE+M. Ekonomie a Management = Economics and Managementcs
dc.rights© Technická univerzita v Libercics
dc.rightsCC BY-NC 4.0cs
dc.subjectdůvěracs
dc.subjecte-commercecs
dc.subjectinternetcs
dc.subjectkvalitacs
dc.titleFormalized qualitative modeling of online trust: introduction of the method and detailed exampleen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe paper presents a simple qualitative model of online trust in the context of e-commerce. Qualitative models use just three values: Positive/Increasing, Zero/Constant and Negative/ Decreasing. Such quantifiers of trends are the least information intensive. Qualitative models can be useful, since models of online trust include such variables as e.g. Perceived website quality and ease of use (SIT) or Company’s positive reputation (REP) that are sometimes difficult or costly to quantify. Hence, a significant fraction of available information about online trust is not of numerical nature, e.g. if SIT is decreasing then online trust is decreasing as well. Such equationless relations are studied in this paper. The model has 13 variables and 32 pair-wise interrelations among them. The set of variables and interrelations was established based on discussions with experts and internet users. The model is solved and 23 solutions, i.e. scenarios are obtained (thus, we reduce a vast set of all “imaginable” scenarios concerning online trust to a manageable list of scenarios). All qualitative states, and the first and second qualitative derivatives of all variables are specified for each scenario. Many modifications, upgrades and extensions of the present model are easy within the methodological framework introduced in the paper. Qualitative modeling can be seen as one of the uncertainty calculi, such as fuzzy sets and rough sets, that can be helpful e.g. under information shortage (for example when new website is about to be launched and/or when novel, subjective or difficult to measure variables are considered). The paper is self-contained and no a priori knowledge of qualitative modeling is required on the reader’s part.en
dc.subject.translatedtrusten
dc.subject.translatede-commerceen
dc.subject.translatedinterneten
dc.subject.translatedqualityen
dc.identifier.doidx.doi.org/10.15240/tul/001/2016-2-014
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Číslo 2 (2016)
Číslo 2 (2016)

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Ekonomie a management
  5. 2016
  6. Číslo 2 (2016)