Purpose: Cyberloafing, using technology to idle instead of work, is a particularly concerning issue for many organizations due to its perceived widespread impact on productivity. The purpose of this paper is to meta-analytically examine the growing literature on this construct in order to gain insights into its nomological network and guide future research. Design/methodology/approach: After a systematic literature search, the authors conducted psychometric meta-analyses to estimate the relationships of 39 different correlates with cyberloafing. The meta-analytic database was comprised of 54 independent samples contributing 609 effect sizes. Findings: Results indicate that boredom, engagement, and self-control exhibit strong relationships with cyberloafing, but employees’ attitudes surrounding and opportunities to engage in cyberloafing also proved powerful predictors. Contrary to common stereotypes, age and other demographic variables exhibited negligible effects. Employment variables (e.g. tenure, organization level, and income) were also negligibly related to cyberloafing. Emotional stability, conscientiousness, and agreeableness exhibited modest negative relationships with cyberloafing, whereas self-control demonstrated a strong negative relationship. Although cyberloafing strongly correlated with overall counterproductive work behaviors, the findings suggest it is unrelated to other components of job performance. Research limitations/implications: Because the cyberloafing literature is in its early stages, the present study drew on a limited number of samples for several of the relationships analyzed. Rather than providing conclusive evidence of the nomological network of cyberloafing, these analyses reinforce the need for empirical investigation into several important relationships. Originality/value: As the first quantitative review of the emerging cyberloafing literature, this study synthesizes related studies from disparate disciplines, examines the nomological network of cyberloafing, and highlights future directions for research into this phenomenon.

Recent economic and societal developments have led to an increasing emphasis on organizational environmental performance. At the same time, demographic trends are resulting in increasingly aging labor forces in many industrialized nations. Commonly held stereotypes suggest that older workers are less likely to be environmentally responsible than younger workers. To evaluate the degree to which such age differences are present, we meta-analyzed 132 independent correlations and 336 d values based on 4,676 professional workers from 22 samples in 11 countries. Contrary to popular stereotypes, age showed small positive relationships with pro-environmental behaviors, suggesting that older adults engaged in these workplace behaviors slightly more frequently. Relationships with age appeared to be linear for overall, Conserving, Avoiding Harm, and Taking Initiative pro-environmental behaviors, but non-linear trends were observed for Transforming and Influencing Others behaviors.

This study provides an investigation of the nomological net for the seven primary assessment center (AC) dimensions identified by Arthur, Day, McNelly, and Eden (Personnel Psychology, 56, 125–154, 2003). In doing so, the authors provide the first robust estimates of the relationships between all primary AC dimensions with cognitive ability and the Big 5 factors of personality. Additionally, intercorrelations between AC dimensions based on sample sizes much larger than those previously available in the meta‐analytic literature are presented. Data were obtained from two large managerial samples (total N=4985). Primary data on AC dimensions, personality, and cognitive ability interrelationships were subsequently integrated with meta‐analytic data to estimate incremental validity for optimally and unit‐weighted AC dimension composites as well as overall AC ratings over psychometric tests of personality and cognitive ability. Results show that unit‐ and optimally weighted composites of construct‐based AC dimensions add incremental validity over tests of personality and cognitive ability, while overall AC ratings (including those obtained using subjective methods of data combination) do not.