Article ID Journal Published Year Pages File Type
351236 Computers in Human Behavior 2013 6 Pages PDF
Abstract

The present study explored the contribution of email volume, email management and worry in predicting email stress among a sample of Australian academics. The sample comprised 114 academic staff from Curtin University in Perth, Australia. An online survey was conducted to gather data on the target variables. A moderated hierarchical regression indicated that the combined model accounted for a significant 11.90% of the variance in email stress (p = .008, f2 = .135). Worry individually accounted for a significant proportion of the variance (p = .010, f2 = .06, 95% CI [.028, .202]). Email volume also significantly predicted email stress (p = .00, f2 = .057, 95% CI [.011, .079]). Email management did not moderate the email volume and stress relationship. The findings suggest that email stress is impacting upon academic teaching staff and that research on mitigating this stress needs to be undertaken.

• General propensity to worry was significantly correlated with email stress. • Email management strategies did not predict email stress. • Number of emails received (volume) was a significant predictor of email stress. • Further studies needed which examine impact of psychological variables on email stress.

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Physical Sciences and Engineering Computer Science Computer Science Applications
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