Managing Boundaries in Multiteam Structures: From Parochialism to Integrated Pluralism

Multiteam structures are increasingly used to coordinate complex tasks between different groups. To realize this potential, however, the members of a multiteam structure must manage a complex set of boundary relations within, between, and beyond the various constituent teams—boundary relations that can be cooperative, competitive, or some combination of both at the same time. This multimethod study provides insight into how multiteam structures can meet this challenge. Specifically, we examined how the different organizations that utilize and support the Dutch railway system learned to manage boundaries as they transitioned from a centralized, arms-length structure to a colocated, multiteam structure for coordinating disruption responses (i.e., the Rail Operations Control Center (ROCC)). In part 1 of our study, qualitative analyses of interview, observational, and archival data suggested that learning to manage boundaries within the ROCC was not simple or linear but evolved through trial and error during various phases. Ultimately, the ROCC developed an approach we call “integrated pluralism,” establishing a dynamic balance that combines both collaborative and competitive approaches to boundary management. In this manner, the ROCC teams were able to attain integrated solutions and coordinated task accomplishment while simultaneously defending internal team operations and home organization interests. In part 2, we employed an interrupted time series analysis to demonstrate that the implementation of the ROCC resulted in significant performance improvements. Consistent with the results of part 1, we found that these improvements emerged gradually over time as teams learned to work out their boundary relations and transitioned to integrated pluralism. These findings provide new insights into how individuals and teams can work together to tackle the unique boundary management challenges presented by multiteam structures and illuminate the dynamic trial and error process by which component teams can learn to both cooperate and compete.

Boundary buffering: limiting interference and information leakage in design teams

Purpose

Two challenges faced by automotive component design projects within contracted design agencies are (1) specification changes requested by the manufacturers and (2) product information or core technology knowledge leakage to external actors. We examine the effects of targeted boundary activities that address these challenges under the contingencies of environmental uncertainty and project complexity.

Design/methodology/approach

Based on Boundary management theory, a bidirectional model of boundary buffering was conceptualized in the context of design agency teams developing automotive components. A survey is derived from the proposed model. Regression analysis is performed using empirical data from 234 auto component design projects in Chinese design agencies.

Findings

Boundary buffering activities that strengthen outside-in boundaries and inside-out boundaries directly improve the final design quality. Further, the magnitude of effect for outside-in buffering on design quality is enhanced under environmental uncertainty, while the impact of inside-out buffering on design quality is enhanced under project complexity.

Research limitations/implications

Boundary activities should consider differences in boundary targets, directional flow of information, and context of scope.

Practical implications

Automotive component design agents should attend to both outside-in and inside-out boundary buffering, especially under conditions of environmental uncertainty or project complexity.

Originality/value

The proposed bidirectional view on boundary buffering adds perspective to team boundary management theory. Specific contingencies include common risk elements of project complexity and environmental uncertainty not typically associated with the need for buffering activities.

A systematic investigation of absorptive capacity and external information search in groups

Purpose

This paper aims to test the influence of external information search (EIS) on knowledge elaboration and group cognitive complexity (GCC) under the moderating effect of absorptive capacity (AC is indicated by prior knowledge base and gender diversity).

Design/methodology/approach

The results of three studies (one field study and two experimental studies) are reported. The first study tests the interaction between EIS and the two dimensions of AC on group knowledge elaboration in a sample of 65 organizational groups. In the second study, EIS was directly manipulated and the interaction with AC in a sample of 65 groups was tested. In the last experimental study, the AC of the boundary spanner (highest level of expertise versus lowest level of expertise) was manipulated and the effects of EIS in a sample of 37 groups were tested.

Findings

The first study reveals a significant interaction between EIS and prior knowledge base on knowledge elaboration and points toward a compensatory interplay of EIS and AC on GCC. The results of the second study indicate that EIS increases the time spent on task, as well as the efficiency of knowledge integration (GCC per unit of time). Furthermore, EIS has the strongest positive effect on GCC in groups in which at least one of the AC dimensions is average or high. The results of the last study show that the AC of the boundary spanner compensates for the lack of absorptive capacity of the group and also show that the cognitive distance between the boundary spanner and the rest of the group has a negative influence on the efficiency of knowledge integration in groups.

Research limitations/implications

The limitations of Study 1, common to non-experimental research (related to causality), are dealt with in the second and third studies that establish causality between EIS and GCC.

Practical implications

The paper has important implications for the management of information search effort in organizational groups, in particular the groups are advised to: engage in EIS to increase their cognitive repertoire and cognitive complexity, delegate, when possible, their most competent members to engage in boundary spanning activities as they will maximize the cognitive benefits of EIS and finally minimize the cognitive dissimilarity between the boundary spanner and the rest of the group to facilitate the effective integration of novel insights into the group cognition.

Originality/value

This study is among the first empirical attempts to uncover the causal effect of EIS on knowledge elaboration and GCC in groups and to uncover the role of the boundary spanner in the EIS efforts.

Within- and Between-Team Coordination via Transactive Memory Systems and Boundary Spanning

In this article, we suggest that the transactive memory system (TMS) and boundary-spanning literatures are useful for understanding how individuals in team-based collectives can be structured to improve within- and between-team coordination. We argue that such coordination can be facilitated—or thwarted—by boundary-spanning behaviors and patterns of knowledge exchange within and between teams. Our theorizing explains how an existing team TMS can offset the within-team coordination burdens typically associated with boundary spanning and we offer predictions about how these factors interrelate to affect TMS and coordination over time. Finally, our theory underscores significant implications and provides insights for how management practices might improve coordination within and between teams.

Team Performance Archetypes: Toward a New Conceptualization of Team Performance Over Time

We examine the concept of team performance and propose a framework to understand patterns of change over time. Following a literature review on team performance (focusing on empirical articles published between 2007 and 2017) and drawing on Greek and Roman mythology, we identify five team performance trajectories: “Jupiter” (consistently high performing), “Neptune” (relatively steady, average performance), “Pluto” (low performing), “Icarus” (initially high performing, with a downward spiral), and “Odysseus” (initially low to midrange performing, with an upward spiral), which we refer to as “team performance archetypes.” We discuss how they might be used in conjunction with growth modeling methodology to help facilitate theory building and data collection/analysis with respect to team performance. In addition, we discuss the future research implications associated with using the archetypes to help conceptualize patterns of team performance over time.

The curvilinear relationship between team familiarity and team innovation: A secondary data analysis

Paradoxical arguments and mixed empirical evidence coexist in the current literature concerning the relationship between team familiarity and team innovation. To resolve this contradiction, we apply habitual routines theory to propose that team familiarity and team innovation have an inverted U-shaped relationship. Using a data set of 68,933 R&D teams in the electrical engineering industry, our results support a nonlinear relationship between team familiarity and team innovation, and suggest that the best innovative performance is produced by moderately familiar teams. Furthermore, we find that external learning can moderate this curvilinear relationship. Theoretical contributions and future implications are discussed.

Unpacking team dynamics with growth modeling

In this paper we advocate the use of growth modeling as an approach that is particularly useful for testing and refining existing theory on team dynamics, as well as integrating different theoretical perspectives. Quantitative studies that test team theories have typically included only one or two time points, between-team research designs, and hierarchical regression-based statistical analyses. Such an approach enables exploration of antecedents to explain why some teams are more effective than others at specified points in the team task or lifespan. In contrast, using three or more time points of data and applying growth modeling statistical analyses is atypical, but can allow for informative investigations of team trajectories, or patterns of change within teams. We argue that this approach can facilitate fruitful insights about team dynamics, and we provide guidelines for researchers as to how to investigate such team dynamics using growth modeling.

The Process of Team Boundary Spanning in Multi-Organizational Contexts

Work teams must increasingly operate in complex environments characterized by multiple external actors beyond team and organizational boundaries. Although previous research demonstrates the importance of boundary spanning activities to team effectiveness, it reveals relatively little about the process of boundary spanning in these environments. In this article, we investigated the processes of boundary spanning across multiple external actors in 10 cross-organizational teams. We identified three sequences for reaching out to external actors: (a) moving inside-out from vertical actors inside the host organization to horizontal actors outside of the host organization, (b) moving outside-in from horizontal actors to vertical, and (c) staying-inside with vertical actors from the host organization. Our observations suggest that inside-out and outside-in sequences were more successful than simply pleasing the host organization. We build on our empirical findings to develop a process theory of how team boundary spanning activities across multiple external actors influence team effectiveness. Our research underscores the importance of a team’s interactions with actors in its external environment beyond those in an immediate supervisory role and provides insight into the dynamics of boundary spanning in multi-organizational contexts.