Rebecca Mitchell 15 Estimated H-index: Estimated H-index: 9. Transformational leadership has consistently been argued to enhance diverse team outcomes, yet related research has generated ambiguous findings. We suggest that effectiveness is enhanced in interprofessional teams when transformational leaders engender dynamics that are characterized by interprofessional motivation and openness. Published on Aug 1, in Academy of Management Journal 7.
Julija Mell 5 Estimated H-index: 5. Research on transactive memory systems TMSs implicitly assumes that metaknowledge i. Relaxing this assumption results in a more realistic notion of team cognition in which the distribution of metaknowledge can take different forms. Demonstrating the importance of this conceptual shift, we compare teams in which metaknowledge is concentrated within one central member a centralized TMS structure with teams in w Published on Jul 21, Benyamin B.
Lichtenstein 18 Estimated H-index: Chapter 1. Why Emergence Chapter 2. Prototypes of Emergence Chapter 3. Defining Emergence and Generative Emergence Chapter 5. Types of Emergence Studies Chapter 6. Dissipative Structures Chapter 7. Applications to Organizations Chapter 8. Introducing Dynamic States Chapter 9. Outcomes of Generative Emergence Chapter Information elaboration and team performance: Examining the psychological origins and environmental contingencies.
Christian J. Resick 19 Estimated H-index: Estimated H-index: 8. Information elaboration enables functionally diverse teams to transform their breadth of knowledge resources into actionable solutions to complex problems. The current study advances information elaboration theory and research in two ways.
First, we identify how team ability and social motivation composition characteristics provide the psychological origins of complex information processing efforts. Second, we identify environmental turbulence as an important boundary condition, clarifying when Stephen E.
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Humphrey 24 Estimated H-index: In this article, we outline the limitations of the prevailing static collectivist explanations in team research and suggest how an increased emphasis on a microdynamics-oriented approach that takes into account the essentially relational and organizing nature of teams can provide new insights to our understanding of teamwork. We argue that a m Team mental models, relationship conflict and effectiveness over time. Published on Oct 14, in Team Performance Management. Catarina Marques Santos 6 Estimated H-index: 6. Purpose — This study aims to evaluate the extent to which similar team mental models TMMs at the beginning of a team's lifecycle influence the level of relationship conflict within the team, TMM-similarity at the middle of the team lifecycle, and in turn team effectiveness.
Thus far, no research has analysed the mediating role of a dysfunctional team process between TMM-similarity and effectiveness. Published on Oct 1, in Organizational Research Methods 6.
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Steve W. At HP, the policy was to move engineers between major projects over time. The result was the movement of key learnings and technologies to new projects, where they could be reconfigured into new combinations and applications. In essence, HP provided the space that enabled an active interplay between brokers and connectors. In large organizations, brokers often introduce ideas and central connectors develop them.
While the level of trust within these groups promotes risk-taking and thus some forms of innovation , social acceptance limits the extent of these risks. The result: more, but safer, bets.
Energizers help push people beyond the safe bets. In an organizational network, energizers may be brokers, central connectors, or simply other individuals who enthusiastically adopt an idea and promote it. Energizers trigger the interest and engagement of others and unleash the passion necessary for bold innovations to advance. Network energy, or enthusiasm, drives diffusion, cocreation, and active engagement across the larger organization.
It challenges people to think more boldly than they would within their own subgroups and creates a contagious mindset as the innovation progresses. Energizers are able to fully engage in interactions, inspiring others to devote more time and energy to an initiative. These differences can be embraced as elements essential to the creation of bolder innovation. The result is the potential for new, more robust possibilities to emerge. In response to the scrutiny, the associate is challenged to experiment and learn with low-risk solutions.
The result for W. Gore has been a multitude of innovative products and solutions that have been stretched beyond their original concepts.
So far, we have focused on the leadership implications of managing networks to drive emergent innovation. For example, every successful innovation we studied involved a non-insular network early in the problem-solving stage that helped the individual reframe the problem space and generate a more substantive solution and impact. Overall, what was perhaps most striking to us in this work was the degree to which innovation had to occur in both the product or service and the network for success to unfold.
The network was important not only in the generation of the idea but also in acceptance of the innovation.leondumoulin.nl/language/little/god-rest-ye-merry-gentlemen.php
Conceptualizing Emergent States: A Strategy to Advance the Study of Group Dynamics
Successful innovators were innovating on both levels — the innovation and the network — following five principles, outlined below. Tap into adjacent expertise and a broad network early in problem-solving. Almost universally, more successful innovators did not immediately solve a problem they were given. Whether asked by their board, boss, client, or a demanding coworker to address a significant problem, they were likely to ask questions and engage their network early to help them think about the problem differently and to find people with tangentially relevant expertise who might give them a different perspective on the solution.
In contrast, less successful people were more likely to jump into the work without engaging adjacent expertise to reconceptualize the problem space. Interestingly, a good number of this latter group did solve problems and generate solutions. However, relative to the more successful people, this group solved smaller problems or produced less innovative outcomes over time.
This group fell behind the other group and never really knew why. Even at this nascent stage, there is an interplay between the network, the nature of the innovation, and its likely success. Our quantitative models and interview subjects found boundary-spanning ties as critical to innovation success over time. Consider four types of ties:. Make early interactions beneficial to others.
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The more successful innovators we studied sought to draw others to their ideas, rather than push their needs and seek help by mandate. Establishing mutual benefit was much more likely to create vibrant exchanges, vest other people in the outcome, and lead to successful innovation. This mattered in a significant but surprising way: Every successful innovation benefited at some point in the trajectory of the solution by a surprise insight, resource, or idea coming to the seeker.
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Invariably, these fortuitous developments had a material impact on the success of the project, but the seeker would never have been able to predict or foresee this. In contrast, less successful people were more likely to jump directly into their project without either establishing a personal connection to others or making a concerted effort to be helpful to them. As a result, they were far less likely to benefit from surprises from an extended network. But engage in a way that benefits the other person and thus draws him or her into the relationship. Spread ownership of the idea and seek feedback.
Hub-and-spoke models of innovation — where individuals put themselves at the center of the network of interactions and coordinate all efforts and ideas — were rare and worked only in transactional settings. In fact, among our interviewees, trying to develop an idea in isolation until it was seen as bulletproof was a sure recipe for failure. The more successful innovators made decisions on whom to include and how to run initial meetings in ways that shaped both the innovation and the network. To be sure, they were quick to get the right expertise into the room and use open, divergent brainstorming processes to mold the innovation.
Rather than shield an idea until it was perfected, they created conditions that engaged others in developing the idea. The lesson? As you begin to form a nexus around an innovation, use facilitation techniques that create openness early. Focus on the why of the work to help engender a sense of purpose and commitment, and require teammates to reach out to source ideas with clients, stakeholders, experts, and network opinion leaders.
Engage key opinion leaders and naysayers early. They bring needed information and insight to the project and later, as ambassadors, provide legitimacy and boost adoption. Innovation is more successful when ideation and development are diffused and contributors have pride of ownership. Great collaborative outcomes are generated when people share values and understand why the work is important.
Read Generative Emergence: A New Discipline of Organizational Entrepreneurial and Social Innovation
Develop a prototype early. Be open in process but insist on pushing to a prototype as early as possible. Throughout our interviews, prototypes were essential and took a wide range of forms. They could be working code, small-scale models, or full solutions. Early prototypes provide proof of concept.