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Mindfulness at work (Glomb, Duffy et al, 2012) - Human Resources

Mindfulness at work (Glomb, Duffy et al, 2012) - Human Resources

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138THERESA M. GLOMB ET AL.As noted in the preceding text, when individu<strong>al</strong>s become more aware of theirbodily st<strong>at</strong>es, they are more able to regul<strong>at</strong>e their levels of physiologic<strong>al</strong>activ<strong>at</strong>ion and responses to neg<strong>at</strong>ive thoughts and emotions. Consequently,unhe<strong>al</strong>thy stress hormone production (i.e., cortisol) is reduced, <strong>al</strong>lowing<strong>work</strong>ing memory to function more effectively, which suggests th<strong>at</strong> mindfulnessmay be especi<strong>al</strong>ly important for effective performance in the<strong>work</strong>place when multiple demands or stress-inducing conditions prevail.Improved Accuracy in Affective ForecastingAffective forecasting refers to an individu<strong>al</strong>’s ability to accur<strong>at</strong>ely predicttheir emotion<strong>al</strong> responses to future events (Wilson & Gilbert, 2003). It hasbeen well established th<strong>at</strong> people are gener<strong>al</strong>ly poor <strong>at</strong> anticip<strong>at</strong>ing futureemotions; they are unable to accur<strong>at</strong>ely predict how they will feel followingemotion<strong>al</strong>ly charged events (Gilbert, Pinel, Wilson, Blumberg, & Whe<strong>at</strong>ley,1998). They tend to predict they will be happier than they actu<strong>al</strong>ly are afterpositive events and to predict th<strong>at</strong> they will be unhappier than they actu<strong>al</strong>lyare following neg<strong>at</strong>ive events. <strong>Mindfulness</strong> may lead to improvements inaffective forecasting by reducing the impact bias (i.e., overestim<strong>at</strong>ing theemotion<strong>al</strong> impact of a future event), because mindfulness <strong>al</strong>lows people toconsider emotions and emotion<strong>al</strong> experiences as separ<strong>at</strong>e from the self, andbecause it reduces autom<strong>at</strong>icity of thought. In one study of a sample of 188young adults who forecasted their emotions for the weeks following the2008 presidenti<strong>al</strong> election, Emanuel, Updegraff, K<strong>al</strong>mbach, and Ciesla(2010) found th<strong>at</strong> trait mindfulness was associ<strong>at</strong>ed with more moder<strong>at</strong>eaffective forecasts and decreased impact bias.Errors in affective forecasting are important in the <strong>work</strong>place becaus<strong>et</strong>hey introduce bias into decision-making processes when individu<strong>al</strong>soverweight their own or others’ reactions to future occurrences. Moreaccur<strong>at</strong>e affective forecasting is expected not only to improve employeeperformance via improved decision making, but is <strong>al</strong>so expected to improvewell-being because of gre<strong>at</strong>er <strong>al</strong>ignment b<strong>et</strong>ween expect<strong>at</strong>ions and re<strong>al</strong>ity,which elimin<strong>at</strong>es the disappointment, neg<strong>at</strong>ive emotions, and frustr<strong>at</strong>ionth<strong>at</strong> follow from unm<strong>et</strong> expect<strong>at</strong>ions.KEY WORK-RELATED BENEFITS OF MINDFULNESSOur centr<strong>al</strong> purpose in this manuscript was to link mindfulness andmindfulness-based processes to employees’ performance and well-being <strong>at</strong><strong>work</strong>. In examining the cognitive, emotion<strong>al</strong>, and neurobiologic<strong>al</strong> processes

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