Publications by authors named "Balca Alaybek"

In this paper, we examine the primary impact of two categories of food recovery policies on food donation and the secondary impact on food safety, food waste, and food insecurity in U.S. states.

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There is growing expectation that artificial intelligence (AI) developers foresee and mitigate harms that might result from their creations; however, this is exceptionally difficult given the prevalence of emergent behaviors that occur when integrating AI into complex sociotechnical systems. We argue that Naturalistic Decision Making (NDM) principles, models, and tools are well-suited to tackling this challenge. Already applied in high-consequence domains, NDM tools such as the premortem, and others, have been shown to uncover a set of risks of underlying factors that would lead to ethical harms.

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The current paper proposed individual differences in judgment and decision-making (JDM)-namely, the skill associated with recognizing social norms, decision-making styles, and risk-benefit perceptions-as a novel set of predictors of counterproductive work behavior (CWB). We hypothesized that the skill associated with recognizing social norms, rational decision-making style, and perceived riskiness of unethical behavior would be related negatively to CWB, whereas the avoidant decision-making style, spontaneous decision-making style, and perceived benefits of unethical behavior would be related positively to CWB. Moreover, we hypothesized that JDM-focused individual differences would exhibit incremental validity above and beyond the traditional individual difference predictors of CWB (personality, trait affect, and cognitive ability).

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This paper provides insights into how 17 community-based organizations (CBOs) recruited, trained, and retained educators in pregnancy prevention program implementations for underserved adolescents in different areas of the United States. The paper also highlights problems and potential solutions associated with these practices. The study adopted a qualitative descriptive framework.

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Climate strength is often included in organizational climate models, however, its role in such models remains unclear. We propose that the inconsistent findings regarding the effects of climate strength are due in part to its complicated relationship with climate level. Specifically, we propose that the relationship between level and strength is heteroscedastic and nonlinear due to restricted variance (RV) and potential leniency bias in climate ratings.

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Situational strength is considered one of the most important situational forces at work because it can attenuate the personality-performance relationship. Although organizational scholars have studied the consequences of situational strength, they have paid little attention to its antecedents. To address this gap, the current study focused on situational strength cues from different social sources as antecedents of overall situational strength at work.

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