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This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Teams with greater cognitive diversity are more like to engage knowledge sharing. Teams that share knowledge have greater team innovation. Diverse teams are more effective at knowledge sharing in a team climate that encourages and creates space for knowledge sharing practices.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The purpose of this paper is to trace and understand informal knowledge sharing networks for various competencies in project teams. This will help establish a baseline and thereby enable further knowledge management interventions to be outlined.

Two project teams were identified for this study. While one of the teams had a semi‐structured knowledge management system already in place, the other had not adopted any knowledge management practices. The knowledge network analysis was rolled out for both the teams for the competencies that they were working on. This was more of an exploratory study. The results are compared across both the teams and inferences are made on the knowledge networks for the teams.

The various measures involved in social network analysis can help from a knowledge management perspective to: identify experts; provide indicators to the extent of knowledge sharing for various competencies; and baseline current knowledge management practices in a team.

This methodology would not be very feasible for large teams with more than 500 people.

This is a very useful diagnostic tool for managers to know more about the knowledge sharing dynamics in their teams. This may help them design interventions to build the capabilities of key team members along specific knowledge areas.

The paper provides indicators on the capability of the teams and their knowledge repositories based on the interactions between them.

Work teams have gained increasing importance as businesses shift to knowledge-based organizational structures. At the same time, advances in information technology have facilitated this change by enabling virtual work environments. To add to this complexity, the increasing demographic diversity of workers is coinciding with the rise in virtual and knowledge-based work environments. Therefore, it is critical that we understand the impact of these changes as they coincide in organizations today.

One of the extolled virtues of work teams is their potential to combine the unique knowledge held by individual workers, integrating these knowledge resources to bear on productive tasks. To effectively utilize their distributed knowledge, work teams have to perform three basic knowledge-processing activities: (a) knowledge acquisition; (b) knowledge integration; and (c) knowledge creation. However, work teams often have difficulty processing their distributed knowledge. The ability of team members, or lack thereof, to work effectively with each other is usually the problem.

The increasing demographic diversity of workers presents similar challenges for organizations. Demographically diverse workers have more unique knowledge, leading to increased knowledge differentiation in work teams. A work team that has high knowledge differentiation is one whose members possess different expertise. The unique knowledge held by individual team members effectively enlarges a work team's pool of knowledge resources. However, the increasing demographic diversity of workers often results in work teams having more difficulty processing their distributed knowledge because team members are not able to work effectively with different others. That being the case, the potential for demographically diverse work teams to more effectively perform productive tasks is lost.

We realize that demographically diverse work teams are a special (and important) case of teams in that they are both high on differentiated knowledge and high on the potential for conflict and other process losses. However, with an increasingly global marketplace, this special case is quickly becoming commonplace. Therefore, it is critical that we find ways to help demographically diverse work teams limit their process losses and realize their full potential.

Virtual work environments only heighten the need for demographically diverse work teams to minimize their process losses. Team members are often separated by both geographic space and time, which makes it even more challenging for them to work effectively with each other. In such environments, team members are often isolated from one another and find it difficult to feel a part of their team. Interestingly, computer-mediated communication has been shown to enhance team performance by helping team members communicate more effectively with each other. In fact, empirical work by Bhappu, Griffith, and Northcraft (1997) suggests that computer-mediated communication can actually help demographically diverse work teams process their distributed knowledge more effectively.

In this chapter, we will discuss the effects of demographic diversity and virtual work environments on knowledge processing in teams. More specifically, we will describe when computer-mediated communication is likely to enhance knowledge processing in demographically diverse work teams and when it is not. In doing so, we hope to provide both workers and managers with a set of guidelines on how to best navigate these organizational changes.

Team learning is critical to interdisciplinary research teams (IDR teams) to use heterogeneous knowledge effectively. Nevertheless, team learning is rarely addressed in the IDR team literature. Also, few studies investigate the antecedents and consequences of team learning in IDR teams, leading to a lack of guidance for management practices. This study aims to investigate how team learning can be developed and how team learning influences team outcomes in IDR teams.

A questionnaire survey on 304 members of 37 IDR teams in a research university in China is conducted. Data are analyzed using a partial least square structural equation modeling.

The results support most hypotheses in general. For the antecedent variables, task interdependence, trust and constructive conflict positively affect team learning. For the outcome variables, team learning improves shared mental models, coordination quality and team performance significantly. Additionally, task uncertainty positively moderates the team learning-coordination quality relation and team learning-team performance relation. However, this paper does not find support for the moderating role of task uncertainty on the team learning-shared mental models relation.

To the best of the knowledge, this is the first study investigating the antecedents and consequences of team learning in IDR teams. A multidimensional measurement of team learning for the IDR team context is developed. This study investigates how team behavioral factors influence team learning and the effect of team learning on shared mental models, coordination quality and team performance. This study also explores the contingency role of task uncertainty in the effects of team learning.

The purpose of this study is to extend the existing literature on knowledge management, which generally focuses on knowledge sharing. The model of this article explains how knowledge creation and team performance can be increased through the integration of social and technological factors

To empirically test the model, multi-wave and multi-source data were collected from 80 teams whose members use social media as a tool for communication and interaction.

The analysis results provide insights into some interesting findings. The results show transactive memory system (TMS) as an important factor that can significantly contribute to knowledge creation in teams. Especially, the TMS strengthens the significant positive effect of enterprise social media (ESM) and insignificant positive effect of knowledge complementarity on knowledge creation. Furthermore, knowledge creation is found to be a significant predictor of team performance

Much of the knowledge management literature focuses on the ways to increase the quantity of accessible knowledge to organization members. Such knowledge management studies are more relevant to knowledge exchange among individual employees, teams and organizations. However, this study takes a nuanced approach to explore how knowledge creation can be increased in teams by implementing a knowledge integration mechanism. A general model of knowledge creation is proposed, but the strength of this model lies in the moderating effect of TMS which strengthens the effect of knowledge complementarity and ESM on knowledge creation in teams which eventually increases team performance.

In a variety of domains, teams represent the main mechanism for dealing with change, complexity, and uncertainty in organizations. Consequently, teams need to be able to adapt and effectively use shared and complementary cognitive processing while collaborating to deal with these challenges.

A conceptual review is provided that addresses this type of complex collaborative cognition via discussion of macrocognition and the processes contributing to effective team problem-solving.

Despite extensive research on problem-solving, research and theories regarding how problem-solving changes over time as teams develop is missing. With this review, we extend research on team problem-solving and team development through integration of existing theory and concepts from the team literature.

This review provides a theoretical foundation for understanding and studying the developmental dynamic of team problem-solving.

A team problem-solving development model is described which outlines the degree to which the primary elements of team development are likely to affect macrocognitive processes within problem-solving phases. A set of propositions is offered in order to guide research on team development in collaborative problem-solving.

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.

Strategy scholars have long argued that breakthrough innovation is generated by recombining knowledge from distant domains. Even if firms have the ability to access and absorb knowledge from distant domains, however, they may fail to pay attention to such knowledge because it is seemingly irrelevant to their tasks. We draw attention to this problem of knowledge relevance and develop a theoretical model to illuminate how ideas from seemingly irrelevant (i.e., peripheral) domains can generate breakthrough innovation through the cognitive process of analogical reasoning, as well as the conditions under which this is more likely to occur. We situate our theoretical model in the context of teams in order to develop insight into the microfoundations of knowledge recombination within firms. Our model reveals paradoxical requirements for teams that help to explain why breakthrough innovation is so difficult.

The purpose of this paper is to study the adoption and diffusion of technology including SAAS software and cloud computing for facilitating knowledge management (KM) in product innovation based on understanding of consumer behavior. Technopreneurship can drive sustainable product innovation by studying the patterns of consumer behavior. Sharing of consumer intelligence on cloud using SAAS is being used by several companies to drive innovation such as call centers in South Asia. However, there is no understanding role of knowledge management for understanding consumer behavior for product innovation.

The methodology uses case method of action research technique coupled with grounded theory development. Further, the study uses interpretive structural modelling (ISM) technique for interpreting the results for understanding consumer behavior patterns for enabling product innovation.

The findings suggest that enhancement of creative design based on consumer's study can lead to sustainable product development. The findings revealed that consumer behavior patterns embedded in the firm's intelligence captured in KM portal including customers' preferences and choices that can be developed into products. Knowledge management facilitated flexible manufacturing process, optimized capital expenditure using agility principles as per the study. Techniques and processes such as reactive scaling top down and bottom up and applying flexible APIs (Application Programming Interface) allowed the efficient automation of infrastructure orchestration and resource allocation. The involvement of vendors’ knowledge base facilitated creation of market ready product offers leading to sustainability.

The implications include the adoption of inter-disciplinary and inter country understanding of knowledge management application for understanding consumer behavior to lead to sustainable product development.

The scope and scale of technology entrepreneurship include the application of knowledge management for consumer behavioral studies that have huge contributions to make product development sustainable using greener planet, purpose and product (3P model).

This paper aims to explore the impact of team psychological safety and team learning on the creation of team knowledge. When teams engage in learning, their interactions contribute to improved performance. Very little research evaluates whether the learning also creates new knowledge related to the task or the team itself.

The proposed model is evaluated through a mixed method research design around a team problem-solving experiment. Task- and team-related team mental models are elicited using concept mapping and questionnaires and are measured before and after the experiment. The model is evaluated in engineering teams from the USA and France.

The findings confirm the proposed model; team psychological safety and team learning positively impact team knowledge creation for both task- and team-related knowledge.

This research has theoretical, methodological and practical implications. The team psychological safety model is expanded, team learning is evaluated from the team interactions instead of members’ self-assessments and team knowledge is measured dynamically. Developing team psychological safety and creating team learning opportunities positively impacts the team’s knowledge.