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Multiteam Systems: An Introduction

Stephen J. Zaccaro, Michelle A. Marks, Leslie A. DeChurch

Year
2012
Citations
48

Abstract

Over the last 2 decades, the operating work environment has become exceedingly more challenging and complex (Ilgen & Pulakos, 1999). To wit, communication and information technology has grown exponentially, increasing the pace, scope, and scale of work (Hesketh & Neal, 1999). Such technology has also increased the globalism and geographic dislocation of organizational work (Ireland & Hitt, 1999). Because of the global reach of today’s business, and the increasing immediacy afforded by current technology, strategic issues, problems, and implications have greater interconnectivity across organizational boundaries. Traditional organizational forms have been typically insufficient to respond effectively to such changes. Accordingly, a number of different organizational forms that complement more conventional structures have emerged, including matrix and virtual organizations, as well as cross-functioning and ad hoc project teams. One of these forms includes different kinds of collaborations thatcan exist across traditional team and organizational boundaries. Such cross-boundary collaborations have been observed in the past, of course, in the face of large-scale crisis events that require the interdependent responsiveness of multiple agencies (e.g., see response to Hurricane Katrina; Moynihan, 2007). The collectives formed from such requirements do not resemble traditional organizations or large-scale teams. Nordo such collectives reflect more recent forms such as team-based organizations, virtual organizations, or matrix organizations. Instead, current environmental challenges have increasingly given rise to a form of aggregation that includes tightly coupled constellations of teams, where the different teams may possess very different core missions, expertise, structures, norms, and operating procedures to the collective effort. However, the performances of such constellations reflect the kinds of integrated and interdependent actions typical of more traditional teams and organizations. Mathieu, Marks, and Zaccaro (2001) defined these kinds of organiza-tions as multiteam systems (MTSs), and argued that they represented a relatively new collective form that has emerged as adaptive responses to the aforementioned environmental challenges. Thus, they noted that “MTSs are usually formed or develop naturally to deal with highly turbulent environments that place a premium on the ability to transform work units and to respond rapidly to changing circumstances” (Mathieu et al., 2001, p. 290). They also asserted that existing organizational or team theories and models do not provide sufficient means of understanding the processes and dynamics of MTSs. Accordingly, they cited the need to recognize and study such collectives in the organizational sciences. Since the publication of Mathieu et al. (2001), several other studies, both empirical and conceptual, have been published that have provided some insight into MTSs (e.g., Coen, 2006; DeChurch & Marks, 2006; DeChurch & Mathieu, 2009; Hoegl & Weinkauf, 2005; Liu & Simaan, 2004a, 2004b; Liu, Simaan, & Cruz, 2003; Marks, DeChurch, Mathieu, Panzer, & Alonso, 2005; Marks, Mathieu, & Zaccaro, 2004; Mathieu, Cobb, Marks, Zaccaro, & Marsh, 2004; Standifer & Bluedorn, 2006). Other studies have examined specific types of MTSs, such as incident command systems (Moynihan, 2007), multisystem coordination in space missions (Caldwell, 2005), multi-unit human-robot systems (Hsu & Liu, 2005), and joint venture teams and other kinds of business alliances (Johnson, Korsgaard, & Sapienza, 2002; Marks & Luvison, 2008). MTSs have also been the subject of several conference papers and symposia at recent annual meetings of the Society for Industrial and Organizational Psychology (e.g., Burke, DeChurch, Salas, & Goodwin, 2008; DeChurch, 2010; DeChurch & Burke, 2009; DeChurch & Marks, 2008; DeChurch et al., 2010; Marks et al., 2010; Wooten et al., 2009), Human Factors and E

Keywords

Knowledge managementImmediacyScope (computer science)Scale (ratio)BusinessComputer science

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