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Although the practice of multiteam systems (MTSs) has been around for decades, the science of these systems has only just begun. Within the past decade and a half, although much remains to be investigated, substantial progress has been made in breaking the surface of this research. The current volume provides a review of MTS case studies and the current chapter provides a synopsis of this research. The goal of this chapter is to identify how MTSs are operating under real-world conditions in order to bridge MTS science and practice.

In this chapter, the authors provide a case analysis of the presented MTSs in the current volume in order to identify issues innate to MTSs. An approach based on the SWOT analysis technique was utilized to identify strengths, weaknesses, threats, and opportunities of the identified MTSs. In addition, six lessons learned were extracted from a content analysis of the successes and failures of these MTSs.

Although MTSs may be unique to the environment in which they operate, there are several features which seem to be inherent to all. Strengths include possessing the ability to manage complex tasks and unexpected events, being flexible in nature, and integrating communication across levels. In opposition, weaknesses include the use of nontraditional communication patterns, challenges stemming from unit diversity and resources, and the lack of common training. Lessons learned from identified MTSs include (1) utilize effective communication; (2) establish shared mental models; (3) identify roles and responsibilities; (4) convey accountability and ownership; (5) consider the ramp-up period; and (6) train individuals in an MTS at multiple levels. Opportunities and threats to MTSs are also discussed in this chapter.

This chapter offers several contributions to the state of the field in regard to MTSs. The current chapter provides a detailed content analysis of several real-world MTSs. Characteristics inherent to MTSs are identified and discussed, and lessons learned are extracted. Traditionally, science and practice has focused on the presentation of lab-based MTSs; the current volume breaks new ground by identifying how MTSs operate “in the wild.” This chapter provides a summation of this volume and offers lessons learned for MTS researchers and those working within MTSs.

In order to deepen understanding of team processes in dynamic organizational contexts, we suggest that analyses employing techniques to identify and analyze team member interaction patterns and trajectories are necessary. After presenting a brief review of interaction data coding and reliability requirements, we first review examples of two approaches used in the identification and analysis of interaction patterns in teams: lag sequential analysis and T-pattern analysis. We then describe and discuss three statistical techniques used to analyze team interaction trajectories: random coefficient modeling, latent growth modeling, and discontinuous growth analysis. We close by suggesting several ways in which these techniques could be applied to data analysis in order to expand our knowledge of team interaction, processes, and outcomes in complex and dynamic settings.

As work demands have become increasingly complex, organizations and agencies are progressively turning toward larger systems comprised of teams, or multiteam systems (MTSs), to accomplish multifaceted tasks in challenging environments. Today, many organizations require these complex systems in order to achieve the dynamic goals that are required of our ever-changing world. Subsequently, MTSs have become a growing area of interest in organizational research, primarily due to their increasing prominence in organizational settings.

In this introductory chapter, our goal is to highlight a selection of existing research regarding MTSs that serves to answer the question, “What do we know about MTSs?” while also setting up the question that serves as a recurrent theme throughout this volume, “Where does our research need to go in order to better serve MTSs in practice?”

While there has been a great advancement in the area of MTSs in recent years, there is still much to be explored in terms of the challenges and opportunities that MTSs afford in practice.

It is the goal of this chapter that we will set the stage for readers interested in identifying the current trends, dynamics, and issues in MTSs in the real world for the purposes of both expanding our research and theory on MTSs as well as further building the foundation for improving their development, implementation, and effectiveness “in the wild.”