Abstract

Multiteam systems (MTSs) are complex organizational forms comprising interdependent teams that work towards their own proximal goals within and across teams to also accomplish a shared superordinate goal. MTSs operate within high-stakes, dangerous contexts with high consequences for suboptimal performance. We answer calls for nuanced exploration and cross-context comparison of MTSs “in the wild” by leveraging the MTS action sub-phase behavioral taxonomy to determine where and how MTS failures occur. To our knowledge, this is the first study to also examine how key MTS attributes (boundary status, goal type) influence MTS processes and performance. We conducted historiometric analysis on 40 cases of failed MTS performance across various contexts (e.g., emergency response, commercial transportation, military, and business) to uncover patterns of within- and between-team behaviors of failing MTSs, resulting in four themes. First, component teams of failing MTSs over-engaged in within-team alignment behaviors (vs. between-team behaviors) by enacting acting, monitoring, and recalibrating behaviors more often within than between teams. Second, failing MTSs over-focused on acting behaviors (vs. monitoring or recalibrating) and tended to not fully enact the action sub-phase cycle. Third and fourth, boundary status and goal type exacerbated these behavioral patterns, as external and physical MTSs were less likely to enact sufficient between-team behaviors or fully enact the action sub-phase cycle compared to internal and intellectual MTSs. We propose entrainment as a mechanism for facilitating MTS performance wherein specific, cyclical behavioral patterns enacted by teams align to facilitate goal achievement via three multilevel behavioral cycles (i.e., acting-focused, alignment-focused, and adjustment-focused). We argue that the degree to which these cycles are aligned both between teams and with the overarching MTS goal determines whether and how an MTS fails. Our findings add nuance beyond single-context MTS studies by showing that the identified behavioral patterns hold both across contexts and almost all types of MTS action-phase behaviors. We show that these patterns vary by MTS boundary status and goal type. Our findings inform MTS training best practices, which should be structured to integrate all component teams and tailored to both MTS attributes (i.e., boundary status, goal type) and situation type (e.g., contingency planning).

Highlights

  • The past decade of organizational research has seen a surge of studies focused on the effective operation of multiteam systems (MTSs; Zaccaro et al, 2020)

  • To check the assertion that a greater volume of between-team interactions, compared to within-team interactions, are critical for successful MTS performance across additional contexts, we examined a standard operating protocol (SOP) for flight team and air traffic control (ATC) interactions which prescribes the ideal within- and between-team behaviors that should occur during the landing phase of performance

  • As with the failed MTS performance cases, we used the MTS action subphase taxonomy to code the behaviors throughout the SOP, and, overall, we found a higher proportion of between-team (69%) than within-team (31%) behaviors

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Summary

Introduction

The past decade of organizational research has seen a surge of studies focused on the effective operation of multiteam systems (MTSs; Zaccaro et al, 2020). MTSs are ubiquitous in non-extreme and non-action contexts, such as scientific collaborative efforts, cybersecurity, and strategic business alliances (DeChurch and Marks, 2006; Marks and Luvison, 2012; DeChurch and Zaccaro, 2013; Zaccaro et al, 2016). Failures in these MTSs can be costly. Zano, a startup that aimed to develop and produce advanced drone technology, squandered $3.5 M in crowd-funded investment and yielded no viable end product (Harris, 2016) In these exemplar cases, the ineffective coordination and collaboration behaviors of the component teams inhibited resilient MTS performance in the face of challenges and resulted in the system not achieving its distal goal. Given the potential for harmful results from the failed performance of these complex systems, it is critical to continue efforts to understand how to avoid such outcomes

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