Search results

The team members’ expertise has been shown to increase team effectiveness when it is actively coordinated. While in face-to-face teams such expertise coordination unfolds through direct interaction, expertise coordination in dispersed teams is unlikely to evolve automatically. In this context, shared leadership, that is, the distribution of leadership influence across multiple team members is argued to serve as initiating mechanism for expertise coordination.

Due to geographic dispersion and reliance on technology-mediated communication, developing collaborative capital can be a challenge in a virtual team. Knowledge sharing is one form of collaborative capital that has been identified as critical to virtual team success. This chapter develops a theoretical model that proposes that shared leadership in virtual teams is positively related to knowledge sharing between team members, and that this relationship will be partially mediated by trust. The model also shows that a team's degree of reliance on technology-mediated communication will moderate the relationships in the model.

With this chapter, we seek to shed light on the question how headquarters (HQ) can cope with geographic distance and effectively transfer relevant knowledge to their subsidiaries. By constructing a mediating model, we aim at disentangling the effects of geographic distance on the relevance of HQ knowledge to their subsidiaries, via the creation of a shared context between HQ and their subsidiaries. We tested our hypotheses using partial least squares based structural equation modelling on a sample of 124 European subsidiaries. We did not find a significant direct relationship between geographic distance and HQ knowledge relevance. Yet, we found support for our mediation hypotheses that geographic distance makes it more difficult for HQ to establish a shared normative and operational context, but that both dimensions of shared context can help HQ to transfer relevant knowledge to their subsidiaries. We contribute to the research on knowledge flows in multinational corporations (MNC) by investigating knowledge relevance directly rather than knowledge flows as such. We also advance our understanding of shared context in HQ-subsidiary relationships by showing that shared context comprises an operational and a normative dimension. Moreover, we contribute to social learning theory in basing our reasoning on the idea that shared practices and social relationships help overcoming distance to manage knowledge transfer more effectively. Finally, we add to the research of distance in international business by conceptualizing space, organizational context and knowledge transfer in one comprehensive model.

In the context of Saudi Arabia, this chapter investigates how clustering promotes knowledge sharing and transfer in an emerging, government-directed industry cluster. It is determined that lateral actors play a key facilitating role, and formal and informal mechanisms and interpersonal links among actors support that cluster knowledge exchange. Limited social capital strength and depth and a lack of trust that prevents knowledge sharing are partially explained by the cluster's limited vertical and horizontal actors.

Two decades of research have identified a robust effect: Members of decision-making groups mention and repeat shared information that all members know more so than unshared information that a single member knows. This chapter explores the idea that processes related to member status both affect and explain information exchange in decision-making groups. First, we offer five propositions that identify information sharing patterns and their implications for high- and low-status group members. Second, we highlight three theoretical explanations for the group preference for shared information and examine how well each theory accounts for the proposed member status processes.

Innovation competence has become an essential requirement for technology-based organizations to survive in the new economy. Commitment to long-term objectives and learning are considered as indispensable for building innovation competence. Communication networks play a crucial role in both these aspects. In this context management faces the question of how the characteristics as well as the contents of communication present in the network will influence the innovation competence. In this paper a literature study is done to present an understanding of the relationships between communication networks and innovation competence. The paper proposes that the characteristics of communication (frequency, diversity, and centrality) along with the content of communication (shared vision, shared task knowledge, and shared social knowledge) significantly affect the elements necessary to build technological innovation.

Mental model convergence occurs as team members interact. By collecting information and observing behaviors through their interactions, team members’ individual mental models evolve into shared mental models. This process requires a cognitive shift in an individual's focal level. Specifically, the individual assigned to the team must shift his or her focus from thinking about the team domain using an individual perspective to thinking about it from a team perspective. Thus, mental model convergence may be the key to understanding how individuals are transformed into team members. This chapter presents a framework describing the mental model convergence process that draws on the extant research on group development and information processing. It also examines temporal aspects of mental model convergence, the role of mental model contents on the convergence process, and the relationship between converged mental models and team functioning. Preliminary evidence supporting the framework and the important role that converged mental models play in high-performing teams is provided. The chapter concludes with a discussion of the implications of this mental model convergence framework for research and practice.

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).

This chapter offers insights on how knowledge management (KM) tools and initiatives contribute to successful internal branding. Knowledge management has gained considerable recognition from both business practitioners and academics. However, understanding and implementation of KM practices in relation to internal branding is still a largely unexplored field. The authors, thus, present several models of knowledge sharing and outline their applicability to the field of internal branding. Through a case study of a Finnish multinational company Teleste, this chapter shows the applicability of the presented theories for brand knowledge sharing. The practical case looks at how knowledge sharing helped Teleste in the process of rebranding, particularly when promoting its new brand image within the organization.

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.