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In the extant research on online knowledge communities (OKCs), little attention has been paid to the influence of membership fluidity on the coevolution of the social and knowledge systems. This article aims to fill this gap.

Based on the attraction-selection-attrition (ASA) framework, this paper constructs a simulation model to study the coevolution of these two systems under different levels of membership fluidity.

By analyzing the evolution of these systems with the vector autoregression (VAR) method, we find that social and knowledge systems become more orderly as the coevolution progresses. Furthermore, in communities with low membership fluidity, the microlevel of the social system (i.e. users) drives the coevolution, whereas in communities with high membership fluidity, the microlevel of the knowledge system (i.e. users' views) drives the coevolution.

This paper extends the application of the ASA framework and enriches the literature on membership fluidity of online communities and the literature on driving factors for coevolution of the social and knowledge systems in OKCs. On a practical level, our work suggests that community administrators should adopt different strategies for different membership fluidity to efficiently promote the coevolution of the social and knowledge systems in OKCs.

Team composition research considers how configurations (e.g., team-level diversity) of team members’ attributes (e.g., personality, values, demographics) influence important outcomes. Our chapter describes key issues in understanding and effectively managing team composition over time.

We discuss how context shapes team composition. We review empirical research that examined relationships between team composition, and team processes and emergent properties over multiple time points. We review research that examined how composition can be effectively managed over the lifecycle of a team.

Context shapes the nature of team composition itself (e.g., dynamic composition). To the extent that membership change, fluid boundaries, and multiple team membership are present should be accounted for in research and practice. The research we reviewed indicated no, or fleeting effects for surface-level (e.g., demographics) composition on the development of team processes and emergent properties over time, although there were exceptions. Conversely, deep-level composition affected team processes and emergent properties early in a team’s lifespan as well as later. Team composition information can be used in staffing; it can also inform how to best leverage training, leadership, rewards, tasks, and technology to promote team effectiveness.

Teams are the building blocks of contemporary organizations. Understanding and effectively managing team composition over time can increase the likelihood of team.

Our chapter provides novel insights into key issues in understanding and effectively managing team composition over time.

The characteristics of individual members and how the members are assembled in a group are critical foundations for various group processes and outcomes and often determine important staffing and hiring decisions in organizations. This chapter offers an overview of the history of group composition research across multiple disciplines and identifies three distinct approaches to studying group composition with an emphasis on the role of communication. Scholars treat group composition as a cause that leads to group outcomes, a consequence that results from social and psychological processes, or a process in response to dynamic team environments. A synthesis of previous research reveals that studying group composition as a cause has dominated the field and that the role of communication in group composition has gained little attention. The chapter concludes with a set of future research directions targeting the new digital environment, the role of communication, and research methodologies with special attention to the consequence- and process-oriented approaches.

In this chapter we examine various human resource management (HRM) implications involved in the leadership of fluid teams. Leadership of fluid teams, which are distinguished by their dynamic composition, requires consideration of issues that may not be as pertinent for stable teams. In particular, we focus on the concept of familiarity. Composing and leading teams with members exhibiting varying degrees of familiarity with one another creates obstacles to effective and efficient functioning and may ultimately lead to poor performance. With this in mind, leaders must pay particular attention to issues of coordination, and composition such that a broad range of generalizable teamwork skills exists within the team. Within this chapter, we explain the concepts of fluid teams, team leadership within fluid teams, and other relevant concepts related to the formation of familiarity. Next, we thoroughly review extant empirical and theoretical research within these areas. We identify areas of correspondence among the various concepts and findings of the reviewed studies and generate an integrated model of fluid team leadership. To conclude, we highlight the distinct HRM implications associated with the use, and leadership, of fluid teams.

Studies of marketplace cultures emphasize the benefits of communal consumption and explain the ways that brand managers can leverage subcultures and brand communities. The ephemeral and often non‐commercial nature of consumer tribes means that they are more difficult to manage. This paper, aims to suggest that a necessary pre‐requisite for understanding how to engage with consumer tribes is to identify how consumers become members of tribes.

Data are drawn from a five‐year ethnographic study of the archetypical club culture tribe that utilized a variety of data collection methods including participant observation and in‐depth interviewing.

The paper identifies “learning to be tribal” as a communal practice that occurs through three interconnected processes of engagement, imagination and alignment.

This paper makes three contributions: it clearly distinguishes between the three main forms of communal consumption found in the marketing literature; it identifies how consumer tribes are formed; and it questions received wisdom and shows how tribal theory can guide managers to offer products and services as learning resources that facilitate tribal practices.

We examine how digital technologies enable distributed actors to collaborate asynchronously on virtual projects. We use Wikipedia and associated wiki digital technology as the research site for our exploration. Our probe of the emergence of Wikipedia articles highlights a distinctive property of such digital technologies: in their very use, they generate a digital trace. This digital trace serves as a generative memory that facilitates ongoing cocreation, justification, and materialization of contributions from distributed actors. We examine the implications of such processes for virtual projects that embrace digital technologies with properties similar to the wiki technology used in Wikipedia.

This paper aims to examine the dynamics of the communication network established within a multi-team system (MTS) and analyzes its implications for the MTS processes, emergent states and performance during a search and rescue operation.

The authors take a bifocal approach and combine both network analysis metrics and a qualitative analysis of the message content in addressing the research questions.

The findings illustrate the emergence of a decentralized network and that the extent to which decentralization is conducive toward MTS performance also depends on the density of the communication lines established among the component teams (CTs) and the communication content. Low density of the communication network was associated with impaired MTS processes and low effectiveness. Node centrality metrics indicate a limited connectivity between the leader of the operation and the MTS CTs, also with negative impact on MTS performance. Whereas, informal CTs become central to the MTS communication network and positively influence MTS performance during the last episodes of the mission.

This paper is among the first to use a social network approach to the study of MTS functioning and illustrates how the fluid structure of the MTS alters communication networks, which in turn influence other MTS processes, emergent states and overall performance.

Recognizing heterogeneity of legal/social status, historical experience, and the resulting variation in the constraints faced by different groups can be a valuable complement to forms of heterogeneity already recognized by Austrian economists. This is particularly true for empirical analyses of caste-based societies, women’s history, and the experiences of other currently or historically persecuted minority populations. When (1) political institutions and/or other emergent social structures establish rules that apply to some individuals but not others, (2) these non-general rules are constructed in such a way that individuals cannot easily move in and out of established groups, and (3) some of the groups created by this process hold authority over others, class structures are created that can be understood without violating methodological individualism and other key tenets of Austrian economics. Like other heterogeneities that have now become incorporated into mainstream economic thought, the development of an Austrian theory of class could advance both the Austrian tradition and economic science in general.

The evolution of Wikipedia betrays an increasing reliance on policies and guidelines, signalling certain stabilisation in the knowledge making processes underlying the encyclopaedia. We interpret such a state of affairs as reflecting the need to provide a few principles and guidelines of coordination, in a context that has otherwise been marked by vast diversity, high membership turnover and the lack of traditional exploitative structures. Rather than reflecting bureaucratisation and a shift away from its constitutive principles, the consolidation of these coordinative mechanisms further embeds the distinctive profile of knowledge making processes characteristic of the online encyclopaedia. They reinforce the diversity of the collective (rather than individual capabilities and skills) as the primary source of knowledge and render the mechanisms of harvesting that diversity and assembling it to a reasonable knowledge output key means of social learning.