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The changes experienced during a merger often reduce post-merger organizational identification among the workforce, thereby undermining the strategic goals of the merger. While previous research has shown that employees' post-merger identification suffers less when they experience a sense of continuity, the current article explores methods of preserving post-merger identification even when employees experience a sense of discontinuity. It is hypothesized that for these employees, the perceived necessity of the merger strongly influences post-merger identification, because a sense of necessity can reduce the uncertainty that typically inhibits post-merger identification. A field study is presented ( N = 144) to support this hypothesis. Finally, implications for the organizational pre-merger communication process are discussed.

Mergers and acquisitions (M&As) are increasingly undertaken in both the private and public sector, as organizations vie for competitiveness within challenging economic climates. Yet, the social costs of M&As are rarely considered in the planning and implementation of these impactful organizational change processes. In this review, we take a social identity approach to M&As, exploring the impact of M&A activities on employees and their local communities. Specifically, we outline the pivotal role played by identity reputation and continuity, intergroup structure and processes, leadership and justice in managing employee adjustment during M&As. Throughout our review, we pay close attention to the managerial implications of our findings for strategic planning and best practices within M&A contexts. We conclude by outlining the implications of our review for the development of official guidelines and social policies around M&A implementation.

By integrating an intergroup perspective on mergers with discrepancy theories, we argue that merger partners aim for merger patterns that best benefit their group's standing. Importantly, we hypothesize and show that the discrepancy between what merger partners want and what they actually get affects outcomes essential to merger success. Specifically, we demonstrate that perceived fit between the implemented and the desired merger pattern predicts support for the merger. We further show that this effect is mediated by perceived fairness (Study 1) and emotional reactions to the merger (Study 2). Our findings are generalized across a field study that investigate a real merger between two institutions of higher education (Study 1) and an experiment (Study 2).

Employee silence, the withholding of work‐related ideas, questions, or concerns from someone who could effect change, has been proposed to hamper individual and collective learning as well as the detection of errors and unethical behaviors in many areas of the world. To facilitate cross‐cultural research, we validated an instrument measuring four employee silence motives (i.e., silence based on fear, resignation, prosocial, and selfish motives) in 21 languages. Across 33 countries (N = 8,222) representing diverse cultural clusters, the instrument shows good psychometric properties (i.e., internal reliabilities, factor structure, and measurement invariance). Results further revealed similarities and differences in the prevalence of silence motives between countries, but did not necessarily support cultural stereotypes. To explore the role of culture for silence, we examined relationships of silence motives with the societal practices cultural dimensions from the GLOBE Program. We found relationships between silence motives and power distance, institutional collectivism, and uncertainty avoidance. Overall, the findings suggest that relationships between silence and cultural dimensions are more complex than commonly assumed. We discuss the explanatory power of nations as (cultural) units of analysis, our social scientific approach, the predictive value of cultural dimensions, and opportunities to extend silence research geographically, methodologically, and conceptually.

We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was administered to approximately half of 125 samples that comprised 15,305 participants from 36 countries and territories. Using the conventional criterion of statistical significance (p < .05), we found that 15 (54%) of the replications provided evidence of a statistically significant effect in the same direction as the original finding. With a strict significance criterion (p < .0001), 14 (50%) of the replications still provided such evidence, a reflection of the extremely high-powered design. Seven (25%) of the replications yielded effect sizes larger than the original ones, and 21 (75%) yielded effect sizes smaller than the original ones. The median comparable Cohen's ds were 0.60 for the original findings and 0.15 for the replications. The effect sizes were small (< 0.20) in 16 of the replications (57%), and 9 effects (32%) were in the direction opposite the direction of the original effect. Across settings, the Q statistic indicated significant heterogeneity in 11 (39%) of the replication effects, and most of those were among the findings with the largest overall effect sizes; only 1 effect that was near zero in the aggregate showed significant heterogeneity according to this measure. Only 1 effect had a tau value greater than .20, an indication of moderate heterogeneity. Eight others had tau values near or slightly above .10, an indication of slight heterogeneity. Moderation tests indicated that very little heterogeneity was attributable to the order in which the tasks were performed or whether the tasks were administered in lab versus online. Exploratory comparisons revealed little heterogeneity between Western, educated, industrialized, rich, and democratic (WEIRD) cultures and less WEIRD cultures (i.e., cultures with relatively high and low WEIRDness scores, respectively). Cumulatively, variability in the observed effect sizes was attributable more to the effect being studied than to the sample or setting in which it was studied.