This article develops a conceptual integration of the dynamic capabilities and ambidexterity perspectives in order to understand how firms adapt to discontinuous change. Based on three illustrative case studies, it demonstrates that it is not possible to identify a universal set of dynamic capabilities. Rather, the distinct set of capabilities required depends on which of three modes of adaptation (structural separation, behavioral integration, or sequential alternation) has been prioritized. This article contributes a contingency perspective to dynamic capability research and offers guidance to managers about the alternative approaches they could take when seeking to adapt to environmental discontinuities.

Ambidexterity research has presented a range of structural and contextual approaches for implementing a dual orientation across organizations. Much less is known about the preceding process through which organizations decide to adopt an ambidextrous orientation. In this paper we focus on this first step—the charter definition process through which the activities and responsibilities of an organizational unit are agreed. Most prior studies implicitly assume that senior executives at some point identify the need to become ambidextrous and subsequently design supportive structures and contexts to implement their choice. Based on an inductive multilevel case study of four alliances, we show how this mandated (or top-down) charter definition process can be complemented with an alternative emergent (or bottom-up) charter definition process in which frontline managers take the initiative to adopt an ambidextrous orientation in their part of the organization. This emergent process is important because it enables frontline managers to respond in a timely manner to changing requirements of which senior executives are still unaware. We use the findings from our case study to develop potentially generalizable observations on the level of initiation, the tensions, the management approaches to deal with the tensions, and the outcomes that characterize this emergent charter definition process. We then put forward a multilevel process framework of how organizations initiate an ambidextrous orientation, and we discuss theoretical implications for the general ambidexterity literature, the nascent dynamic view on ambidexterity, and the broader research on how charters in organizations evolve

Ambidexterity research has noted that firms' simultaneous pursuit of exploration and exploitation causes organizational tensions that are difficult to resolve. To make these tensions manageable, scholars have generally suggested that senior managers take the central role in designing organizational solutions, such as the structural separation or contextual integration of the exploratory and exploitative tasks. Yet, in an inductive study of ten corporate innovation initiatives, we find that our informants assigned far less importance to the senior managers' initial design choices than to the frontline managers' subsequent configurational practices. Frontline managers used these practices to constantly adapt and align their initiatives' organizational contexts, which allowed them to cope with persistent exploration-exploitation tensions in their daily business activities. Based on these empirical insights and drawing on paradox theory, we develop a configurational perspective on ambidexterity, where frontline managers play a more central, proactive, and strategic role than purported by the established design perspective on ambidexterity.

[1] The investigation of throughfall patterns has received considerable interest over the last decades. And yet, the geographical bias of pertinent previous studies and their methodologies and approaches to data analysis cast a doubt on the general validity of claims regarding spatial and temporal patterns of throughfall. We employed 220 collectors in a 1-ha plot of semideciduous tropical rain forest in Panama and sampled throughfall during a period of 14 months. Our analysis of spatial patterns is based on 60 data sets, whereas the temporal analysis comprises 91 events. Both data sets show skewed frequency distributions. When skewness arises from large outliers, the classical, nonrobust variogram estimator overestimates the sill variance and, in some cases, even induces spurious autocorrelation structures. In these situations, robust variogram estimation techniques offer a solution. Throughfall in our plot typically displayed no or only weak spatial autocorrelations. In contrast, temporal correlations were strong, that is, wet and dry locations persisted over consecutive wet seasons. Interestingly, seasonality and hence deciduousness had no influence on spatial and temporal patterns. We argue that if throughfall patterns are to have any explanatory power with respect to patterns of near-surface processes, data analytical artifacts must be ruled out lest spurious correlation be confounded with causality; furthermore, temporal stability over the domain of interest is essential.

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