This study examined the role of key causal analysis strategies in forecasting and ethical decision-making. Undergraduate participants took on the role of the key actor in several ethical problems and were asked to identify and analyze the causes, forecast potential outcomes, and make a decision about each problem. Time pressure and analytic mindset were manipulated while participants worked through these problems. The results indicated that forecast quality was associated with decision ethicality, and the identification of the critical causes of the problem was associated with both higher quality forecasts and higher ethicality of decisions. Neither time pressure nor analytic mindset impacted forecasts or ethicality of decisions. Theoretical and practical implications of these findings are discussed.

Forecasting involves predicting outcomes based on observations of the situation at hand. We examined the impact of the number and types of consequences considered on the quality of ethical decision-making. Undergraduates role-played several ethical problems in which they forecast potential outcomes and made decisions. Performance pressure (difficult demands placed on the situation) and interpersonal conflict (clashes among people in the problem situation) were manipulated within each problem scenario. The results indicated that the identification of potential consequences was positively associated with both higher quality forecasts and more ethical decisions. Neither performance pressure nor interpersonal conflict affected the quality of forecasts or decisions. Theoretical and practical implications of these findings and the use of this research approach are discussed.

The current study uses a sensemaking model and thinking strategies identified in earlier research to examine ethical decision-making. Using a sample of 163 undergraduates, a low fidelity simulation approach is used to study the effects personal involvement (in causing the problem and personal involvement in experiencing the outcomes of the problem) could have on the use of cognitive reasoning strategies that have been shown to promote ethical decision-making. A mediated model is presented which suggests that environmental factors influence reasoning strategies, reasoning strategies influence sensemaking, and sensemaking in turn influences ethical decision-making. Findings were mixed but generally supported the hypothesized model. Interestingly, framing the outcomes of ethically charged situations in terms of more global organizational outcomes rather than personal outcomes was found to promote the use of pro-ethical cognitive reasoning strategies.

This study examined the role of temporal orientation and affective frame in the execution of ethical decision-making strategies. In reflecting on a past experience or imagining a future experience, participants thought about experiences that they considered either positive or negative. The participants recorded their thinking about that experience by responding to several questions, and their responses were content-analyzed for the use of ethical decision-making strategies. The findings indicated that a future temporal orientation was associated with greater strategy use. Likewise, a positive affective frame was associated with greater strategy use. Future orientation may permit better strategy execution than a past orientation because it facilitates more objective, balanced contemplation of the reflected-upon situation, and minimizes potential self-threat associated with past behavior. A positive affective frame likely improves strategy execution because it facilitates active analysis of the experience. Future directions and implications of these findings are discussed.

Innovation has become increasingly important to the survival of organizations. Leaders must manage the process in a series of planning stages. These stages are qualitatively different and thus, have implications for what the leader must think about and do. The relevant leader cognition and social behaviors are discussed, as they must change throughout the process of planning for innovation. In order for leaders to effectively and efficiently manage innovation, they must be able to recognize and adapt to the varying requirements. Existing discrepancies in the literature may be resolved when considered within the context of these stages.

Intra-organizational competition was examined in relation to ethicality. The effect of a competitor being an in-group versus and out-group member, competitor offering uncorroborated or corroborated information, and the impact of the competitor expressing selfish, pro-group, or pro-organizational level goals were examined. Findings suggest that the way competition is presented has an important influence on how well individuals are able to make sense of an ethically ambiguous situation and render an ethical decision. A main effect for information sharing was found, such that when a competitor offers uncorroborated information participants made less ethical decisions and used pro-ethical reasoning strategies less often. An additional main effect was found suggesting that participants made more ethical decisions when working with an in-group competitor rather than an out-group competitor. Complex interactive effects were also found and discussed suggesting that pro-ethical reasoning strategies may be used less often depending on information corroboration, the competitor’s relative group membership status, and the motives expressed by the competitor.

Nursing is a stressful profession, with high levels of burnout among employees. Stress and burnout have been studied extensively in nursing, primarily in terms of organizational and social sources, as well as psychological factors. Studies of Sensory Processing Sensitivity (SPS), the trait that increases one's potential to be overwhelmed by certain aversive stimuli, both internally and environmentally, has recently provided increased empirical insight into the areas of stress and burnout. However, SPS has not been studied exclusively or expansively within the context of nursing. The present research explores major nursing stressors and burnout levels in nurses that are considered highly sensitive by nature compared to their less sensitive peers. Participants from Facebook, Allnurses, Reddit, and a southern Texas hospital were recruited for this study. SPS was found to be a significant predictor for stress and burnout among nurses. Further significant findings are also discussed.

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