Although the dynamic capabilities perspective has become one of the most frequently used theoretical lenses in management research, critics have repeatedly voiced their frustration with this literature, particularly bemoaning the lack of empirical knowledge and the underspecification of the construct of dynamic capabilities. But research on dynamic capabilities has advanced considerably since its early years, in which most contributions to this literature were purely conceptual. A plethora of empirical studies as well as further theoretical elaborations have shed substantial light on a variety of specific, measurable factors connected to dynamic capabilities. Our article starts out by analyzing these studies to develop a meta-framework that specifies antecedents, dimensions, mechanisms, moderators, and outcomes of dynamic capabilities identified in the literature to date. This framework provides a comprehensive and systematic synthesis of the dynamic capabilities perspective that reflects the richness of the research while at the same time unifying it into a cohesive, overarching model. Such an analysis has not yet been undertaken; no comprehensive framework with this level of detail has previously been presented for dynamic capabilities. Our analysis shows where research has made the most progress and where gaps and unresolved tensions remain. Based on this analysis, we propose a forward-looking research agenda that outlines directions for future research. 390

Goals or aspirations and their relationships to risk taking and performance are important issues in both psychology and strategic management. The concept of adaptive aspirations, as discussed in Cyert and March's Behavioral Theory of the Firm, has long been a topic of interest in both fields. Moreover, many studies in strategy have focused on risk and/or extreme performance. In the current paper, we build on earlier models of adaptive aspirations. We introduce into the models a new risk preference function that incorporates changes in risk preference at extremes of performance. Based on empirical studies and the managerial literature, we also introduce alternative strategies for setting reference groups. Simulations of the resulting models suggest important differences in outcomes from earlier studies and this invites further empirical investigation. These simulations also have significant implications for managerial goal setting. Copyright © 2011 John Wiley & Sons, Ltd.

Organizations learn and adapt their aspiration levels based on reference points (prior aspiration, prior performance, and prior performance of reference groups). The relative attention that organizations allocate to these reference points impacts organizational search and strategic decisions. However, very little research has explored this. Therefore, we build a recursive feedback model of learning from organizational experience that explains heterogeneity of attention allocation to the reference points in adaptive aspirations. In a sample of the German magazine industry , we find when early in their life cycle and as they or their parent company age, organizations tend to focus more on their own aspirations; however, when at the verge of bankruptcy, they increase their attention to competitors' performance.

Research summary: Behavioral Theory highlights the crucial role of social comparisons in attention allocation in adaptive aspirations. Yet, both the specification of social reference points and the dynamics of attention allocation have received little scholarly examination. We address performance feedback from two social reference points relative to divisions in multidivisional firms: economic reference point and political reference point. Comparing divisional performance with the two reference points can give consistent or inconsistent feedback, which has important consequences for the dynamics of attention allocation in adaptive aspirations. We find consistent feedback leads to more attention to own experience, while inconsistent feedback results in more attention to the social reference point the focal division underperforms. Results reveal that political reference point plays an important role in determining managerial attention allocation.Managerial summary: This article is based on how goal-based performance of divisions relative to both their relevant external market rivals and sister divisions in multidivisional firms influences corporate resource allocation. As a result, various combinations of performance against the two groups of peers drive the reallocation of divisional management attention. We show that specific attention shifts occur on average as a function of the focal division's performance relative to the marketplace performance and that of sister divisions. directs how organizations learn and adapt (Cyert and March, 1963). The generalized model of performance feedback depends on a satisfactory performance level-referred to as the aspiration level-against which an organization compares its actual performance. According to BTOF (Cyert and March, 1963), organizations adapt their aspirations based on historical comparisons with their own experience (i.e., prior aspiration and prior performance) and social comparisons with others' experience (i.e., others' performance). That is, As a political coalition, this party consists largely of union members, the poor, teachers, single women, government workers, minorities, college professors, and young voters. These groups have different goals and interests on some important issues, but cooperate in a manner that benefits all to some degree.

Goals and the performance feedback on those goals are fundamental to organizational learning and adaptation. However, most research has focused on single overall, high-level organizational goals while ignoring important operational goals farther down in the goal hierarchy. This paper explores the important issue of interdependent feedback on multiple operational goals with shared task environments. We conjecture about the impact of shared technological task environments on feedback across goals. We then empirically examine these conjectures using panel vector autoregression (PVAR) analysis of performance feedback from three strategically important operational goals with shared technological task environments in the automobile industry. We find that interdependent feedback can lead to severe and misleading confusion regarding learning from feedback on such goals with shared task environments. Then, we discuss the implications of our findings. These include the following: the absolute intractability of the problem of meeting multiple goals with interdependent task environments as the number of goals increases; limits on the modularity of organization structure; and severe challenges in ex post credit assignment and ex ante planning when goals share technological task environments. Finally, we discuss the application of PVAR to interdependent feedback problems in organizations. The online appendices are available at https://doi.org/10.1287/orsc.2018.1207 .