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An Investigation of Hidden Shared Linkages Among Perceived Causal Relationships in Cognitive Maps

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F22%3A73617957" target="_blank" >RIV/61989592:15210/22:73617957 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-93699-0_2" target="_blank" >http://dx.doi.org/10.1007/978-3-030-93699-0_2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-93699-0_2" target="_blank" >10.1007/978-3-030-93699-0_2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    An Investigation of Hidden Shared Linkages Among Perceived Causal Relationships in Cognitive Maps

  • Original language description

    This study investigates cause and effect relationships in cognitive maps and the coexistence of pairs of such relationships in cognitive maps of a chosen group of decision-makers. We call the existence of a pair of causal relationships shared by the group of decision-makers in their cognitive maps inter-causal relationship. We investigate the coexistence of the chosen pairs of causal relationships in the maps in terms of one of the causal relationships being a necessary and/or sufficient condition for the existence of the other using the tools of fuzzy-set qualitative comparative analysis. We develop and propose a framework to extract and examine the inter-causal relationships from the cognitive maps. The proposed method is based on set-theoretic consistency and coverage measures. We used empirical data (of 71 cognitive maps) collected from a cognitive mapping approach performed by individuals in management teams within a strategic decision-making simulation process to test the proposed approach. Empirical results show that our method can identify inter-causal relationships and provide analytic results for a more complex interpretation if the information arises from the structure of cognitive maps.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Intelligent Systems and Applications in Business and Finance

  • ISBN

    978-3-030-93699-0

  • Number of pages of the result

    20

  • Pages from-to

    17-36

  • Number of pages of the book

    216

  • Publisher name

    Springer

  • Place of publication

    Cham

  • UT code for WoS chapter