Enhancing Production Quality by Avoiding Dishonest Behavior

Olga Martincikova Sojkova (1)
(1) University of West Bohemia, Faculty of Economics, Czechia

Abstract

Purpose: This paper elucidates the determinants of dishonest behavior affecting various domains and aims to demonstrate how addressing these practices can substantially improve overall quality.


Methodology/Approach: A framed laboratory experiment with economics students from the University of West Bohemia was conducted, where participants chose between honest and lower-quality production. Using the Holt-Laury method, we measured risk aversion and personality traits using the Myers-Briggs Type Indicator (MBTI).


Findings: Increased inspection probability significantly reduced lower-quality production, with a statistical significance level of less than 1%. Thinking type of personality and Risk Aversion are significant at the 10% level, indicating a moderate impact. Conversely, punishment and rewards were statistically insignificant, with p-values exceeding 10%.


Research Limitation/Implication: The study is limited by its homogeneous sample of economics students from a single university and insufficient gender representation, which may affect generalizability.


Originality/Value of paper: This research provides insights into how inspection probabilities, rewards, punishments, risk aversion, and personal characteristics influence dishonest behavior, aiding the development of strategies to reduce dishonesty and improve overall quality.

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References

Barclay, D., Higgins, C. & Thompson, R., 1995. The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Use as an Illustration. Technology Studies, 2(2), pp.285-309.

Cialdini, R., Petrova, P. & Goldstein, N., 2004. The Hidden Cost of Organizational Dishonesty. MIT Sloan Management Review, (45), pp.67-73. https://sloanreview.mit.edu/article/the-hidden-costs-of-organizational-dishonesty/ [Accessed 2024-02-20].

DeAndrea, D. et al., 2009. The relationship between cheating behavior and sensation-seeking. Personality and Individual Differences, vol. 47(issue 8), pp.944-947. https://linkinghub.elsevier.com/retrieve/pii/S0191886909003390 [Accessed 2024-07-25].

Ding, S. et al., 2018. Cash versus extra-credit incentives in experimental asset markets. Journal of Economic Behavior & Organization, vol. 150, pp.19-27. https://linkinghub.elsevier.com/retrieve/pii/S0167268118300878 [Accessed 2024-07-21].

Druică, E. et al., 2019. Exploring the Link between Academic Dishonesty and Economic Delinquency: A Partial Least Squares Path Modeling Approach. Mathematics, vol. 7(issue 12). https://www.mdpi.com/2227-7390/7/12/1241 [Accessed 2024-02-20].

Elgar, F. & Aitken, N., 2011. Income inequality, trust and homicide in 33 countries. European Journal of Public Health, vol. 21(issue 2), pp.241-246. https://academic.oup.com/eurpub/article-lookup/doi/10.1093/eurpub/ckq068 [Accessed 2024-02-20].

Fuoli, M., 2022. Structural equation modeling in R: A practical introduction for linguists. In D. Tay & M. Pan, eds. Data Analytics in Cognitive Linguistics. De Gruyter, pp. 75-102. https://www.degruyter.com/document/doi/10.1515/9783110687279-004/html [Accessed 2024-02-20].

Gino, F., Ayal, S. & Ariely, D., 2009. Contagion and Differentiation in Unethical Behavior. Psychological Science, vol. 20(issue 3), pp.393-398. http://journals.sagepub.com/doi/10.1111/j.1467-9280.2009.02306.x [Accessed 2024-02-20].

Hair, J. et al., 2021. Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R, Cham: Springer International Publishing.

Hendy, N. & Montargot, N., 2019. Understanding Academic dishonesty among business school students in France using the theory of planned behavior. The International Journal of Management Education, vol. 17(issue 1), pp.85-93. https://linkinghub.elsevier.com/retrieve/pii/S1472811718302258 [Accessed 2024-02-20].

Hendy, N., Montargot, N. & Papadimitriou, A., 2021. Cultural Differences in Academic Dishonesty: A Social Learning Perspective. Journal of Academic Ethics, vol. 19(issue 1), pp.49-70. https://link.springer.com/10.1007/s10805-021-09391-8 [Accessed 2024-02-20].

Hilbig, B. & Thielmann, I., 2017. Does everyone have a price? On the role of payoff magnitude for ethical decision making. Cognition, vol. 163, pp.15-25. https://linkinghub.elsevier.com/retrieve/pii/S0010027717300525 [Accessed 2024-02-20].

Hochman, G. et al., 2016. “I can see it in your eyes”: Biased Processing and Increased Arousal in Dishonest Responses. Journal of Behavioral Decision Making, vol. 29(2-3), pp.322-335. https://onlinelibrary.wiley.com/doi/10.1002/bdm.1932 [Accessed 2024-02-20].

Kline, R., 2016. Principles and practice of structural equation modeling 4th ed., New York: The Guilford Press.

Lederman, D., Loayza, N. & Menéndez, A., 2002. Violent Crime: Does Social Capital Matter?. Economic Development and Cultural Change, vol. 50(issue 3), pp.509-539. http://www.journals.uchicago.edu/doi/10.1086/342422 [Accessed 2024-02-20].

Lois, G. & Wessa, M., 2021. Honest mistake or perhaps not: The role of descriptive and injunctive norms on the magnitude of dishonesty. Journal of Behavioral Decision Making, vol. 34(issue 1), pp.20-34. https://onlinelibrary.wiley.com/doi/10.1002/bdm.2196 [Accessed 2024-02-20].

Luccasen, R. & Thomas, M., 2014. Monetary incentives versus class credit: Evidence from a large classroom trust experiment. Economics Letters, vol. 123(issue 2), pp.232-235. https://linkinghub.elsevier.com/retrieve/pii/S0165176514000767 [Accessed 2024-07-21].

Myers, I. et al., 1998. MBTI Manual: A Guide to the Development and Use of the Myers-Briggs Type Indicator 3 ed., Consulitng Psychologists Press.

Myers, I. & Myers, P., 2010. Gifts Differing: Understanding Personality Type - The original book behind the Myers-Briggs Type Indicator (MBTI) test, Hachette UK.

Anon., 2021. Osobnostní dotazník MBTI. Informační systém VŠZDRAV. https://is.vszdrav.cz/el/vsz/zima2021/PAPSL1112/um/Osobnostni_dotaznik_MBTI.pdf [Accessed 2024-07-10].

Rintoul, H. & Goulais, L., 2010. Vice Principalship and Moral Literacy: Developing a Moral Compass. Educational Management Administration & Leadership, vol. 38(issue 6), pp.745-757. http://journals.sagepub.com/doi/10.1177/1741143210379061 [Accessed 2024-02-20].

Rothstein, B. & Uslaner, E., 2005. All for All: Equality, Corruption, and Social Trust. World Politics, vol. 58(issue 1), pp.41-72. https://muse.jhu.edu/article/200282 [Accessed 2024-02-20].

Shu, L. et al., 2012. Signing at the beginning makes ethics salient and decreases dishonest self-reports in comparison to signing at the end. Proceedings of the National Academy of Sciences, vol. 109(issue 38), pp.15197-15200. https://pnas.org/doi/10.1073/pnas.1209746109 [Accessed 2024-02-20].

Speer, S., Smidts, A. & Boksem, M., 2020. Cognitive control increases honesty in cheaters but cheating in those who are honest. Proceedings of the National Academy of Sciences, vol. 117(issue 32), pp.19080-19091. https://pnas.org/doi/full/10.1073/pnas.2003480117 [Accessed 2024-02-20].

Authors

Olga Martincikova Sojkova
sojkova@kem.zcu.cz (Primary Contact)
Martincikova Sojkova, O. (2024). Enhancing Production Quality by Avoiding Dishonest Behavior. Quality Innovation Prosperity, 28(2). https://doi.org/10.12776/qip.v28i2.2044

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