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PurposeThis study examined gender differences in CEOs' expression of implicit achievement, power and affiliation motivation. Building on the role congruity account of sex differences and similarities in motivation and existing literature on implicit motives, the study tested whether female CEOs would express higher affiliation motivation than male CEOs and similar levels of achievement motivation. In addition, gender differences in power motivation were explored.Design/methodology/approachThe study used propensity score matching to generate a comparable sample of male and female CEOs from publicly traded companies. Subsequently, the authors content-coded CEO letters from annual reports using Winter's (1994) manual for scoring motive imagery in running text.FindingsOverall, CEOs expressed more achievement and power motivation than affiliation motivation. Comparisons between male and female CEOs showed that female CEOs expressed lower power and higher affiliation motivation than male CEOs.Research limitations/implicationsBy integrating implicit motive theory with social role theory and the role congruity account of motivation, this study provides a theoretical framework and novel demonstration that understanding social roles and gender roles can lend insights into motive expression by CEOs.Originality/valueThe study uses established theory and a validated scoring method in a novel way by analyzing implicit motives from CEO letters, a critical communication channel in the CEO–shareholder relationship. In doing so, this study adopts a sociocultural perspective. Informed by the role congruity account of motivation, the study demonstrates the importance of social roles and gender roles for motivational displays.

PurposeResearch on effort-reward "imbalance" (ERI) has gained popularity in the occupational health literature, and authors typically use effort-reward ratios (ERRs) to study this phenomenon. This article provides a methodological and theoretical critique of this literature and suggestions on how future research can better study joint effects of efforts and reward.Design/methodology/approachThe authors conducted a simulation study, analyzed panel data and surveyed the literature on the theoretical and methodological basis of the "imbalance" concept.FindingsThe simulation study indicates that under many conditions the ERR captures main effects of effort and reward and that effects also depend on the scaling of the variables. The panel data showed that when main effects and the interactions of effort and reward are entered simultaneously in a regression predicting mental and physical health, the significant effect of the ERRs disappears. The literature review reveals that psychological theories include more elaborate theoretical ideas on joint effects of effort and reward.Research limitations/implicationsThe results suggest that moderated multiple regression analyses are better suited to detect a misfit between effort and reward than ERRs. The authors also suggest to use the term effort-reward fit in future research.Originality/valueMethodologically and conceptually the authors showed that the ERR is not an appropriate approach because it confuses main effects with interaction effects. Furthermore, the concept of ERI is better substituted by a broader conceptualization of effort-reward fit that can be integrated with the existing literature on person-environment fit. Recommendations for future research are provided.

There is intuitive and practical appeal to the idea of emergent resilience, that is, sustaining healthy levels of functioning or recovering quickly after some degree of deterioration following exposure to heightened risk or vulnerability. Scholars typically utilize mean levels of functioning indices to identify qualitatively distinct latent subgroups of individuals who share similar patterns of change over time. We propose and showcase an alternative, yet complementary operationalization of emergent resilience via temporal changes in within-person variability. Twenty-nine male personnel (26.25 ± 2.67 years) from the Australian Army who passed a 3-week Special Forces Selection Course provided device-based assessments of sleep functioning for seven nights immediately following course completion. Participants also provided a hair sample for cortisol analysis prior to and immediately after the selection course as an index of accumulated stress, and self-reported their adaptability prior to the 7-day monitoring period. We combined latent growth modeling with an exponential variance function to capture fluctuations around latent means and their change over time. Consistent with our conceptualization of "bounce back" emergent resilience, within-person variability in sleep duration decreased each night by around 10%, which reflects a meaningful small mean decrease over time. We also revealed differential effects of the predictor variables; biological stress primarily influenced the total sleep duration on the first night of the 7-day monitoring period, whereas adaptability largely affected temporal changes in the withinperson residual variances. These findings underscore the importance of synergizing concept, operationalization, and method for the science of human resilience