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Groups typically are composed of members with different knowledge, information, and expertise. Group discussion provides the means by which members can communicate their unique knowledge to reach better group decisions, develop a shared system for remembering and retrieving knowledge, and establish their expertise through enacted performance. In this chapter, three streams of research are reviewed that explore knowledge communication in groups: Hidden profiles, transactive memory systems, and a performative view of expertise. Each of these three research streams complements and informs the other. Across these three research streams, 10 major research findings are identified. We offer three research directions that include integrating these research streams, examining knowledge communication in the context of emerging technology (e.g., artificial intelligence), and studying effects of knowledge diversity in conjunction with surface-level diversity (e.g., member race).

Dispersed multinational teams include people from multiple nations, some of whom are not collocated. In a knowledge economy, such teams must locate, store, allocate, and retrieve knowledge. Three central questions are: (a) How can dispersed multinational teams manage knowledge resource flows? (b) What factors influence knowledge resource distribution in these teams? and (c) How do dispersed multinational teams evolve over time? This chapter examines knowledge resource sharing in multinational teams through three theoretical lenses: transactive memory theory, collective action theory, and evolutionary theory, and concludes with practical suggestions for managing dispersed multinational teams that are derived from these three theoretical lenses.

This chapter investigates the effects of gender stereotypes on expectations about expertise and task assignments. We present a theoretical model that predicts and explains the pervasive and self-reinforcing effects of gender-based stereotypes on expected knowledge and task assignments in groups. In the model, stereotypes influence expertise recognition, which influences tasks assignments. Task assignments provide group members with task experience and expertise. Expertise influences expertise recognition, making the model cyclical. Expertise gained from task experience also affects stereotypes, creating a cycle that reinforces stereotypes. We describe findings from a program of research designed to examine ways of breaking this self-reinforcing cycle, which investigates the effectiveness of various types of expertise claims made by people with expertise, that is inconsistent with stereotypical expectations. We consider the implications of our theory and data for effects of status on evaluation of expertise claims in work groups.

Organizations and their actors are increasingly using video surveillance to monitor organizational members, employees, clients, and customers. The use of such technologies in workplaces creates a virtual panopticon and increases uncertainty for those under surveillance. Video surveillance in organizations poses several concerns for the privacy of individuals and creates a security-privacy dilemma for organizations to address. The purpose of this paper is to offer a decision-making model that ties in ethical considerations of access, equality, and transparency at four stages of video surveillance use in organizations: deployment of cameras and equipment, capturing footage, processing and storing data, and editing and sharing video footage. At each stage, organizational actors should clearly identify the purpose for video surveillance, adopt a minimum capability necessary to achieve their goals, and communicate decisions made and actions taken that involve video surveillance in order to reduce uncertainty and address privacy concerns of those being surveilled.

The paper proposes a normative model for ethical video surveillance organizational decision making based on a review of relevant literature and recent events.

The paper provides several implications for the future of dealing with security-privacy dilemmas in organizations and offers structured considerations for corporation leaders and decision makers.

The paper includes implications for organizations to approach video surveillance with ethical considerations for stakeholder privacy while balancing security demands.

This paper offers a framework for decision-makers that also offers opportunities for further research around the concept of ethics in organizational video surveillance.

Most interpersonal or group communication via the Internet involves people who are not co-present and are not interacting at the same time. Typically, messages contain only text and graphics. This means that people cannot use tone of voice or nonverbal signals to judge the accuracy of messages or, in some cases, even to know the other's true identity. These features of computer-mediated interaction may have dramatic effects on the ways people communicate and how they make judgments about whether the messages of other group members are truthful or deceptive. However, little research has examined truth telling and lying in computer-mediated interaction or in groups larger than two. This chapter investigates how computer-mediated communication affects the composition, transmission, and detection of truthful and deceptive messages.

Bindu Aryais currently a doctoral student in International Business and Strategy at the University of Texas at Dallas. Her dissertation will empirically investigate how collaborative efforts between for-profit, not-for-profit and governmental agencies facilitate outcomes and can function to enhance sustainable development. Her research on how social networks facilitate organizational and group decision-making processes and outcomes has appeared in Journal of Management (forthcoming).