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Formalized qualitative modeling of online trust: Introduction of the method and a detailed example

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F16%3APU120287" target="_blank" >RIV/00216305:26510/16:PU120287 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.ekonomie-management.cz/archiv/vyhledavani/detail/1045-formalized-qualitative-modeling-of-online-trust-introduction-of-the-method-and-a-detailed-example/" target="_blank" >http://www.ekonomie-management.cz/archiv/vyhledavani/detail/1045-formalized-qualitative-modeling-of-online-trust-introduction-of-the-method-and-a-detailed-example/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15240/tul/001/2016-2-014" target="_blank" >10.15240/tul/001/2016-2-014</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Formalized qualitative modeling of online trust: Introduction of the method and a detailed example

  • Original language description

    The 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50602 - Public administration

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    E a M: Ekonomie a Management

  • ISSN

    1212-3609

  • e-ISSN

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    13

  • Pages from-to

    201-213

  • UT code for WoS article

    000378672100014

  • EID of the result in the Scopus database

    2-s2.0-85009882045