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An empirical study of a behavioral decision model with moderated effects for long-range security initiatives

机译:对远程安全计划具有适度影响的行为决策模型的实证研究

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摘要

Organizations are squeezing their overhead budgets (where security initiatives fall) and are focusing more on revenue generation given current economic climates. Thus in both governmental sectors and in commercial settings, there are reasons to believe that strategic security initiatives are being sacrificed, and those that survive must be compelling to decision makers who may be biased toward one choice or another. To assist decision makers with difficult choices, it is critical to understand how biases affect long-range security initiative decisions. Although biases and behavioral decision theory (BDT) have been extensively researched in various contexts, we contribute to the body of security literature by filling a gap in relation to how biases defined in BDT influence security initiatives over the long-run. We conducted a longitudinal empirical investigation using a BDT model into how biases may affect long-range security initiative decision making, examining an important moderated interaction among the factors. Risk tolerance was shown to interact with overconfidence, anchoring adjustment, and utility such that these biases were amplified. This article represents a phase-3 in a four-phased study.
机译:在当前的经济形势下,各组织正在压缩其间接预算(在安全计划落空的地方),并且更多地关注于创收。因此,无论是在政府部门还是在商业环境中,都有理由相信战略安全计划正在被牺牲,而那些能够幸存下来的战略必须迫使可能偏向一种选择或另一种选择的决策者。为了帮助决策者做出艰难的选择,了解偏差如何影响远程安全计划的决策至关重要。尽管在各种情况下都对偏差和行为决策理论(BDT)进行了广泛的研究,但我们通过填补与BDT中定义的偏差如何长期影响安全计划有关的空白,为安全文献做出了贡献。我们使用BDT模型进行了纵向实证研究,研究了偏差如何影响远程安全主动决策,并研究了因素之间重要的适度互动。结果表明,风险承受能力与过度自信,锚定调整和效用相互影响,从而加剧了这些偏见。本文代表了一个四阶段研究的第三阶段。

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