Strategic Management DSS Preferences Evaluation Method Using ANP – Application of Behavioral Economics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96826" target="_blank" >RIV/60460709:41110/23:96826 - isvavai.cz</a>
Result on the web
<a href="https://mme2023.vse.cz/mme_2023_proceedings.pdf" target="_blank" >https://mme2023.vse.cz/mme_2023_proceedings.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Strategic Management DSS Preferences Evaluation Method Using ANP – Application of Behavioral Economics
Original language description
The increasing volume of information and rapid digitalization creates a constantly changing environment where the ability to make effective and timely decisions becomes crucial. Enabled by the development of information technologies, decision support systems (DSS) became an essential tool in this environment. Although the DSS is known to improve organizational performance and success, strategic management DSS use is less than optimal, and intuitive expert estimation and knowledge is preferred. To improve the level of DSS use and DSS acceptance, the paper proposes a method for evaluating senior managers' preferences for DSS capabilities in the context of behavioral economics (BE) heuristics and cognitive bias, and in the context of selected strategies. Proposed method is based on the Analytic Network Process (ANP) suitable for complex decision-making problems, with multiple criteria and alternatives considering the influence of objective and subjective factors. This paper uses the ANP model to evaluate DSS benefits and capabilities in terms of both decision elements and cognitive bias. The proposed model is flexible regarding selected elements, allowing application in any organization that needs to evaluate its management decision style and the complexity of managers’ preferences before proposing the DSS framework. Sensitivity analysis results seem to be an essential part of increasing the understanding of the success of DSS acceptance as such analysis allows to find out how the importance of each element of the DSS changes as the preferences of each element of the ANP decision model increase
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 41st International Conference on Mathematical Methods in Economics
ISBN
978-80-11-04132-8
ISSN
2788-3965
e-ISSN
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Number of pages
6
Pages from-to
13-18
Publisher name
Czech Society for Operations Research
Place of publication
Prague
Event location
Prague
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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