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Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters?

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  • Woodside, Arch G.
  • Sharma, Manish

Abstract

Do some individuals identify themselves to be prolific liars? Here, “big-liars” are individuals who self-report telling lies twelve-or-more times annually. What share of Americans (or any other national population) is big-liars? What share reports telling no lies? Can individual social-economic status (SES) and social factor configurations identify big-liars consistently? The present study includes proposing and testing the case-based theoretical tenet that single-variable SES and social factors do not identify big-liars or self-report truth-tellers consistently even if these single-variables associate significantly statistically with lying/truth-telling in symmetric tests. The theory here proposes that configurations (i.e., screening algorithms or recipes of SES and social factors) are capable of identifying big-liars as well as self-reported persons claiming to never lie. A national omnibus, representative, sample of Americans (n=3350 provide some surprising answers to the questions and substantial support for the usefulness of case-based configurational models for identifying big-liars. To prevent, “I knew that” perceptions, before reading further (using a pen or pencil), consider answering the following multiple-choice questions. What share (%) of Americans identify themselves to be non-liars: 30, 40, 50, 60, or 70? What share (%) identify themselves to be big (i.e., monthly) liars: 30, 40, 50, 60, or 70?

Suggested Citation

  • Woodside, Arch G. & Sharma, Manish, 2017. "Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters?," Journal of Business Research, Elsevier, vol. 71(C), pages 142-153.
  • Handle: RePEc:eee:jbrese:v:71:y:2017:i:c:p:142-153
    DOI: 10.1016/j.jbusres.2016.10.003
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    References listed on IDEAS

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    Cited by:

    1. Bénet, Nathalie & Deville, Aude & Raïes, Karine & Valette-Florence, Pierre, 2022. "Turning non-financial performance measurements into financial performance: The usefulness of front-office staff incentive systems in hotels," Journal of Business Research, Elsevier, vol. 142(C), pages 317-327.
    2. Ringler, Christine, 2021. "Truth and lies: The impact of modality on customer feedback," Journal of Business Research, Elsevier, vol. 133(C), pages 376-387.
    3. Alexander Leischnig & Arch G. Woodside, 2019. "Who Approves Fraudulence? Configurational Causes of Consumers’ Unethical Judgments," Journal of Business Ethics, Springer, vol. 158(3), pages 713-726, September.

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