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Group communication as an area of intellectual interest had its beginnings in communication pedagogy with the goal of helping students to become more effective decision makers. A by-product is that group decision making became and remained a central research focus for many years. In the last 20 years, group communication research has facilitated the development of theory, research methods, and technology. Since 2000, group communication scholars have developed research lines on (1) virtual/digital team communication; (2) information sharing, hidden profile, and transactive memory systems; and (3) group participation. This chapter also explores the way in which group communication scholars have become connected with other disciplines that study groups and teams. The chapter concludes with current research methods trends, including interaction analysis, multilevel modeling, and qualitative methods.

Group communication scholarship has flourished in recent years and several insightful and valuable perspectives have been articulated. This chapter will review theories and perspectives on group communication that have emerged after 2000 (group participation, processual communication networks, communication and teamwork, leadership and communication, sequences and cycles in decision making and problem-solving processes, interventions to improve group performance). Some of these have been articulated formally as theories, while others are more loosely stated and present a point of view on group communication. Classical theories of group communication, including functional theory, symbolic convergence theory, structuration theory, and developmental theories were reviewed in Poole (1999) and are not covered here.

The changing technological landscape has brought about new forms of groups and grouping that span across computing and communication devices, space, time, institutions, cultures, realities (physical, virtual, and augmented), and intelligence (natural and artificial intelligence). This chapter utilizes a series of publication and keyword analyses to identify trends in group and technology research in the fields of communication, management, and computer-supported cooperative work (CSCW) between 2008 and 2019. The results reveal prominent research areas, and recent shifts and emergent questions in the study of groups and technology, highlighting a complex entanglement of technology with collaborative social practices. The chapter concludes with a discussion of novel key areas and trends suggested by the analyses, with the goal of contributing toward a research agenda for future study of groups and technology.

As information systems (IS) phenomena continue to emerge and evolve in our ever-changing economic and social contexts, researchers need to increase their focus on time in order to enrich our theories. The purpose of this paper is to present broad suggestions for IS researchers about how they can direct some of their research efforts to consider, conceptualize and incorporate time into research endeavors and how they might be mindful about considering and specifying time-related scope conditions of their research efforts.

The authors synthesize empirical studies and discuss three distinct yet related frameworks of time and the benefits they can provide. The authors choose two research streams that reflect dynamic economic and social contexts – namely, enterprise systems and social networks – to illustrate how time and frameworks of time can be leveraged in our theory development and research design.

The authors demonstrate that limited research in IS has incorporated a rich conceptualization and/or discussion of time. The authors build on this gap to highlight guidelines that researchers can adopt to enrich their view of time.

Given the dynamic nature of IS phenomena and the increased availability of longitudinal data, the authors’ suggestions aim to urge and guide IS researchers about ways in which they can incorporate time into their theory and study designs.

Among the many influences on group decision making efficacy that have been identified by group researchers, the process that a group follows in arriving at a decision is widely regarded as one of the most important. This chapter reviews the research on group decision making processes for the purpose of explicating (a) the nature of group process, (b) the factors that influence group process, (c) the role that communication plays in group process, and (d) the influence of group process on decision making efficacy. The chapter concludes with suggestions for future research.

A contemporary view of group communication must consider hidden groups, which are those collectives that intentionally conceal key aspects of their identity at various levels (e.g., group, member, organization) from relevant audiences. This chapter reviews several general research areas and findings related to hidden groups and then briefly examines some of the theories and methodological issues relevant to hidden groups. Building on that, a multilevel framework that also considers members and broader organizational structures is offered to help distinguish various types of hidden groups.

Early paradox research in organization theory contained a remarkable breadth of inspirations from outside disciplines. We wanted to know more about where early scholarship found inspiration to create what has since become paradox theory. To shed light on this, we engaged seminal paradox scholars in conversations: asking about their past experiences drawing from outside disciplines and their views on the future of paradox theory. These conversations surfaced several themes of past and future inspirations: (1) understanding complex phenomena; (2) drawing from related disciplines; (3) combining interdisciplinary insights; and (4) bridging discourses in organization theory. We end the piece with suggestions for future paradox research inspired by these conversations.

Group interaction networks are networks whose relations are defined by who engages with whom in communication, coordination, or other forms of joint activity. These interaction networks represent the patterns of action that unfold between members of a group and have the potential to inform research on how groups communicate, how psychological states inform, and how communication patterns can impact team performance. Interaction networks are unique in that they can be defined in terms of both structure and temporality; each interaction can be coded as an event that occurs at a specific point in time. Accordingly, interaction networks are well suited for process theories and methods. Further, the growing availability of fine-grained digital trace data makes it easier for researchers to study these networks in depth. In this chapter, theories of structure and time are reviewed in relation to group networks and interactions. A process-oriented relational event-based paradigm for studying group interaction networks is introduced as a possible alternative to prior methods. The chapter concludes with a comparison of relevant social network approaches, as well as a discussion of potential future research.

This chapter reviews research on group conflict from three perspectives. First, a development perspective of group conflict understands conflict as a natural part of group history. This view emphasizes progress through conflict as a precondition for group growth and productivity. Second, an instrumental perspective of group conflict differentiates between functional and dysfunctional conflict. Research in this area focuses on the preconditions for functional conflict while reducing the likelihood of dysfunctional conflict. Finally, a political perspective situates conflict as tension between advantaged and disadvantaged social groups. The focus of this view is on empowering marginalized voices in groups. After examining these three perspectives, the chapter highlights how each might approach conflict in potentially nuanced contexts such as intergroup conflict, virtual teams, and third-party resolutions.

This chapter conceptualizes computational methods across three related, yet distinct approaches: (1) Social Simulation, (2) Data Science, and (3) Big Data. Group communication research is then situated and reviewed along these three lines of research. Although some areas have considerable visibility (e.g., network analysis, text mining), some areas are less visible in group communication research (e.g., Social Simulation, Big Data designs). The chapter concludes with suggestions for issues regarding reliability, validity, and ethics.