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I argue that while research on collective emotions is gaining in popularity, there has not been sufficient attention paid to understanding the mechanisms that explain how and why group emotions influence group outcomes. The goal of this chapter is to fill this gap by introducing group-member interactions as a group-level mechanism. I explore how positive and negative collective emotions in workgroups link to different types of member interactions, which in turn, influence group outcomes. Finally, I discuss the theoretical contributions of the research and the implications for future research on workgroup emotions and member interactions.

This qualitative study investigated how small group communication influences the development of shared mental models in a committee of public librarians addressing a problem-solving task. It examines the influence of communication themes, functions, roles, and rules on the group's development of shared mental models about the task and about team interaction. Data were collected over the course of a year from group meetings, email messages, group documents, and participant interviews and then analyzed using existing coding schemes and qualitative coding techniques. The findings indicate that within the group there was a strong superficial convergence around the task mental model and the team interaction mental model but a weaker convergence at a deeper level. Analysis of the group communication data shows that the group focused discussion on understanding the problem and identifying tasks, enacting group roles and rules that facilitated sharing information. The functions of their messages focused on task communication. The findings suggest that, in this group, communication themes most heavily influenced the development of a shared mental model about the task, while communication roles, rules, and functions were more influential toward the development of a shared mental model about team interaction. Implications for practice include adopting intentional tactics for surfacing mental models at various points in the group life and anchoring the emerging model within the collective cognition of the group through devices such as narratives, objects, or documentary materials.

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.

The present research builds on three complementary theories to explore how social influence processes in interaction bring about opinion and sentiment change: expectation states theory, affect control theory, and social influence network theory.

An experimental study is used to test intersections between the theories and assess how performance expectations, affective impressions of group members, and emergent perceptions of their influence work together to generate opinion and sentiment change.

Respondent opinions shifted in the direction of group leaders’ opinions, regardless of behavioral interchange patterns. Opinion change was greater when a third group member shared the leader’s opinion. Change in affective impressions was shaped by the group leader’s opinion, the assertiveness of their behavior, and the support of a third group member. The perceived influence composition of the group predicted opinion and sentiment change, above and beyond the effects of conditional manipulations. Features of the group interaction led to inferences about status characteristics that reinforced the influence order of the group.

The chapter tests hypotheses from earlier work and explores status signals not yet tested as predictors of opinion change – behavioral interchange patterns and the degree of support for one’s ideas. In addition, it examines inferences about status characteristics following the group discussion, and influence effects on the prevailing definition of the situation.

This chapter contributes to recent integrative work that explores the relationship between performance expectations, affective impressions, and social influence. Synergistic processes forwarded by earlier research are tested, along with several newly proposed linkages.

Two studies were conducted examining the effects of power, distribution norms, and the scope of future interaction on small group negotiation. Subjects participated in a three‐person negotiation exercise in which they had to reach agreements between two or three players to receive resources. In study one the effects of power position (high, medium, low), dominant distribution norm (contribution, need), and the expectation of future interaction (expected, not expected) on the distribution of resources were examined. Power interacted with both dominant distribution norm and the expectation of future interaction. The ability of high power, less needy players to achieve resources was reduced under a dominant need‐based distribution norm, and when future interaction was expected. In addition, groups expecting future interaction were more likely to form exclusive coalitions than those not anticipating future interaction. In study two the effects of power position (high, medium, low), type of need (pure‐need need + future potential), and the scope of future interaction (full group, coalition‐only) on the distribution of resources were examined. Power interacted with both the type of need and the scope of future interaction. Low power, more needy players achieved greater resources when need was linked to future potential and when future interaction with the entire group was anticipated. In addition, groups anticipating future interaction with only those included in the final agreement were more likely to form exclusive coalitions than those anticipating future interaction with all group members.

Online knowledge integration has been an important concern of the online knowledge community as it can lead to various positive outcomes of online knowledge coproduction. This paper identifies online knowledge integration factors by considering group heterogeneity and group interaction process.

Based on the categorization-elaboration model (CEM) and interactive team cognition (ITC) theory, a research model that reflects the antecedent's factors and mediating factors of online knowledge integration was developed and empirically examined based on data collected from 2,339,836 data extracted from Wikipedia.

Group interaction process plays an essential mediator role in online knowledge integration. Group knowledge heterogeneity negatively influences online knowledge integration and group experience heterogeneity positively, and they both positively promote online knowledge integration through group interaction process with different paths.

Our research concerns the OKC context in one setting (Wikipedia). We expect that the results will generalize to other OKC platforms.

The findings of the study could assist the online knowledge community's organizers to understand the motivational mechanisms of online knowledge integration. Group interaction process could be regarded as the key role to promote group wisdom and maintain group independence.

We advance the understanding of the online knowledge integration and gain a richer understanding of the importance of group interaction independence for online knowledge integration based on the agreement of group wisdom. It suggested keeping group interaction independence is an important aspect for highly online knowledge integration among heterogeneity groups.

This study extends CEM and ITC theory to the domain of knowledge integration context and finds the mechanism between group heterogeneity and online knowledge integration by introducing the group interaction process.

This study aims to explore the use of a Computer‐mediated Communication (CMC) system in‐group conflict management, with specific attention directed toward analyzing the task effect on conflict management patterns of groups in CMC interaction.

Two tasks are used in experimental design to analyze interactions and conflict management patterns within e‐mail communication environment. Group composition and communication medium were kept constant. The group working relations coding system (GWRCS) was used to examine group interaction patterns that characterize the conflict management process.

The results demonstrate that task type influences the group conflict management process and the extent to which a group employs different levels of confrontiveness strategy in its interaction and conflict management patterns. Specifically, intellective task conflict is best handled by a high confrontiveness while cognitive task conflict is best handled by a moderate confrontiveness strategy.

The study used small group size and did not take into account variation in group size. Thus, the degree to which a larger size groups might affect the results is unknown. The study showed that group effectiveness requires different conflict management and interaction patterns for different tasks even within the same communication medium.

The study outlined the importance of task types in conflict management within the same group and within the same communication technology. It also stressed the fact that individuals apply technology differently to negotiate conflict based on tasks.

This study aims to explore the determinants of viewers’ gifting and social sharing behaviours in online streaming from a dual-attachment perspective and to explain how live streaming fosters attachment through a social interaction aspect.

This study conducted an online survey with 316 valid responses to test the research model. The structural equation modelling approach was applied to assess both the measurement and structural models.

The results show that both bond-based and identity-based attachments promote gifting and social sharing behaviours. Participation and cognitive communion motivate viewers to establish bond-based attachment, while group interaction among viewer crowds encourages viewers to create identity-based attachment. In addition, group interaction can moderate the relationship between participation and bond-based attachment.

This study is one of the earliest attempts to highlight the significance of viewer crowd and viewer-viewer interaction in promoting viewers’ behaviours in live streaming context. This study also indicates that viewer-viewer interaction can moderate the impact of viewer–streamer interaction, which is among the first to investigate the interaction effects of viewer-viewer interaction and viewer–streamer interaction.