Comparison of linear and nonlinear models in explanation of dishonest behavior

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F24%3A43974247" target="_blank" >RIV/49777513:23510/24:43974247 - isvavai.cz</a>

Výsledek na webu

<a href="https://drive.google.com/file/d/10ufGZtWvb5rX9EMVbkMBC4wVKNq80q8_/view?usp=sharing" target="_blank" >https://drive.google.com/file/d/10ufGZtWvb5rX9EMVbkMBC4wVKNq80q8_/view?usp=sharing</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of linear and nonlinear models in explanation of dishonest behavior

Popis výsledku v původním jazyce

Dishonest behavior impacts various sectors, including environmental protection, production quality, finance, and taxation. This study compares linear and nonlinear models for explaining behavioral data obtained through a laboratory experiment with economics students at the University of West Bohemia.Participants chose between honest production at a higher cost or dishonest production to save costs. The experiment varied inspection probabilities and introduced punishment for dishonesty or rewards for honesty. Personality traits (MBTI) and risk aversion (Holt-Laury measurement) were also assessed. Both linear and nonlinear (GAM, neural networks) models produced similar results. Increased inspection significantly reduced dishonesty (p &lt; 0.01), while punishment and reward had no significant effect (p &gt; 0.10). Thinking-oriented individuals were more prone to dishonesty (p ≈ 0.05), and higher risk aversion correlated with lower dishonest behavior (p ≈ 0.10). All models achieved a similar power to predict dishonest behavior.

Název v anglickém jazyce

Comparison of linear and nonlinear models in explanation of dishonest behavior

Popis výsledku anglicky

Dishonest behavior impacts various sectors, including environmental protection, production quality, finance, and taxation. This study compares linear and nonlinear models for explaining behavioral data obtained through a laboratory experiment with economics students at the University of West Bohemia.Participants chose between honest production at a higher cost or dishonest production to save costs. The experiment varied inspection probabilities and introduced punishment for dishonesty or rewards for honesty. Personality traits (MBTI) and risk aversion (Holt-Laury measurement) were also assessed. Both linear and nonlinear (GAM, neural networks) models produced similar results. Increased inspection significantly reduced dishonesty (p &lt; 0.01), while punishment and reward had no significant effect (p &gt; 0.10). Thinking-oriented individuals were more prone to dishonesty (p ≈ 0.05), and higher risk aversion correlated with lower dishonest behavior (p ≈ 0.10). All models achieved a similar power to predict dishonest behavior.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Conference Proceedings – Business Trends 2024

ISBN

978-80-261-1270-9

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

142-153

Název nakladatele

Západočeská univerzita v Plzni

Místo vydání

Plzeň

Místo konání akce

Plzeň

Datum konání akce

21. 11. 2024

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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