an agent-based model of optimal exploitation

Using an agent-based simulation, we illustrate how goal-seeking behavior affects network formation, learning, and performance. Our organization has one manager, who decides where to invest financial capital; individual workers, who decide where to work and prefer projects with larger budgets; and projects, which vary in quality. Our manager discovers high-quality projects from interactions with workers and allocates more capital to high-quality projects. When given an opportunity, our workers move to bigger-budget projects. We let our manager vary in terms of how much she exploits what she learns and allow our workers vary in terms of how sensitive they are to differences in capital. Our results highlight a contingency which shapes how goal-seeking behavior affects learning. The contingency is network fragility. Fragile connections decay quickly when individuals are not working together, while robust relationships decay more slowly. When relationships are robust, exploitation by our manager leads to a dense organizational network, improving information quality, and performance. Decisions by self-interested individuals (our manager and our workers) produce a virtuous learning cycle. When relationships are fragile, exploitation by our manager produces a sparse network, reducing information quality, and undermining performance. When network connections are fragile, the manager must find the right balance of exploitation and exploration, a balance which limits the rate at which workers move from one project to the next, allowing the manager to exploit some of what she knows, without undermining the very network which allows for useful information to be obtained.publishersversionpublishe

Power, status, and learning in organizations

This paper reviews the scholarly literature on the effects of social hierarchy—differences in power and status among organizational actors—on collective learning in organizations and groups. We begin with the observation that theories of organization and group learning have tended to adopt a rational system model, a model that emphasizes goal-directed and cooperative interactions between and among actors who may differ in knowledge and expertise but are undifferentiated with respect to power and status. Our review of the theoretical and empirical literatures on power, status, and learning suggests that social hierarchy can complicate a rational system model of collective learning by disrupting three critical learning-related processes: anchoring on shared goals, risk taking and experimentation, and knowledge sharing. We also find evidence to suggest that the stifling effects of power and status differences on collective learning can be mitigated when advantaged actors are collectively oriented. Indeed, our review suggests that higher-ranking actors who use their power and status in more “socialized” ways can play critical roles in stimulating collective learning behavior. We conclude by articulating several promising directions for future research that were suggested by our review

Forgotten Third Parties: Analyzing the Contingent Association Between Unshared Third Parties, Knowledge Overlap, and Knowledge Transfer Relationships with Outsiders

Third parties play a prominent role in network-based explanations for successful knowledge transfer. Third parties can be either shared or unshared. Shared third parties signal insider status and have a predictable positive effect on knowledge transfer. Unshared third parties, however, signal outsider status and are believed to undermine knowledge transfer. Surprisingly, unshared third parties have been ignored in empirical analysis, and so we do not know if or how much unshared third parties contribute to the process. Using knowledge transfer data from an online technical forum, we illustrate how unshared third parties affect the rate at which individuals initiate and sustain knowledge transfer relationships. Empirical results indicate that unshared third parties undermine knowledge sharing, and they also indicate that the magnitude of the negative unshared-third-party effect declines the more unshared third parties overlap in what they know. Our results provide a more complete view of how third parties contribute to knowledge sharing. The results also advance our understanding of network-based dynamics defined more broadly. By documenting how knowledge overlap among unshared third parties moderates their negative influence, our results show when the benefits provided by third parties and by bridges (i.e., relationships with outsiders) will be opposed versus when both can be enjoyed

Knowledge Utilization, Coordination, and Team Performance

Considerable research has established the superior performance of teams on which team members utilize specialized knowledge and also develop transactive processes that promote coordination. Less is known, however, about the consequences for team performance when team members only possess one of the two productivity factors. We develop and test a framework highlighting the distinct challenges these teams will face. In particular, our results show that each productivity factor contributed significantly more to team performance when the other factor was present. And our findings also illustrate a potential failure mode for knowledge utilization. If team members could not coordinate their collective efforts, utilizing knowledge undermined team performance. Our framework outlines a similar risk for too much coordination, if team members cannot utilize their specialized knowledge and are asked to perform a task with a “rugged” performance landscape. We discuss the implications of our framework and results for theory and practice

Shared language in the team network-performance association: Reconciling conflicting views of the network centralization effect on team performance

We reconcile two conflicting views of the network centralization effect on team performance. In one view, a centralized network is problematic because it limits knowledge transfer, making it harder for team members to discover productive combinations of their know-how and expertise. In the alternative view, the limits on knowledge transfer encourage search and experimentation, leading to the discovery of more valuable ideas. We maintain the two sides are not opposed but reflect two distinct ways centralization can affect a team’s shared problem-solving framework. The shared framework in our research is a shared language. We contend that team network centralization affects both how quickly a shared language emerges and the performance implications of the shared language that develops. We analyze the performance of 77 teams working to identify abstract symbols for 15 trials. Teams work under network conditions that vary with respect to centralization. Results indicate that centralized teams take longer to develop a shared language, but centralized teams also create a shared language that is more beneficial for performance. The findings also indicate that the highest performing teams are assigned to networks that combine elements of a centralized and a decentralized network

Repeated, Close Physician Coronary Artery Bypass Grafting Teams Associated with Greater Teamwork

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142936/1/hesr12703_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142936/2/hesr12703-sup-0001-AuthorMatrix.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142936/3/hesr12703.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142936/4/hesr12703-sup-0002-Appendix.pd

Towards an understanding of social networks among organizational self-initiated expatriates: a qualitative case study of a professional services firm

Drawing on a qualitative case study of 51 organizational self-initiated expatriates (OSIEs) in a professional services firm, this article investigates the role of networks during expatriation and, specifically, in the development of learning that is beneficial to both the individual expatriate and the global operations of the firm. First, we investigate the extent to which individual motivations to engage in OSIE impact on the development of networks. Second, we investigate individual’s experiences of network development. Third, we investigate individual perceptions of the benefits of networks for both organizations and individual actors. The paper will report that professionals initiating their own expatriation develop continually expanding and composite networks such that mobility and networks evolve in a seemingly symbiotic relationship. In doing so, it contributes to our understanding of the role of agency in network development and extends our understanding of organizational self-initiated expatriation as a relatively under-researched phenomenon

Communities, Knowledge Creation, and Information Diffusion

In this paper, we examine how patterns of scientific collaboration contribute to knowledge creation. Recent studies have shown that scientists can benefit from their position within collaborative networks by being able to receive more information of better quality in a timely fashion, and by presiding over communication between collaborators. Here we focus on the tendency of scientists to cluster into tightly-knit communities, and discuss the implications of this tendency for scientific performance. We begin by reviewing a new method for finding communities, and we then assess its benefits in terms of computation time and accuracy. While communities often serve as a taxonomic scheme to map knowledge domains, they also affect how successfully scientists engage in the creation of new knowledge. By drawing on the longstanding debate on the relative benefits of social cohesion and brokerage, we discuss the conditions that facilitate collaborations among scientists within or across communities. We show that successful scientific production occurs within communities when scientists have cohesive collaborations with others from the same knowledge domain, and across communities when scientists intermediate among otherwise disconnected collaborators from different knowledge domains. We also discuss the implications of communities for information diffusion, and show how traditional epidemiological approaches need to be refined to take knowledge heterogeneity into account and preserve the system's ability to promote creative processes of novel recombinations of idea

Commitment, Learning, and Alliance Performance: A Formal Analysis Using an Agent-Based Network Formation Model

Current theoretical arguments highlight a dilemma faced by actors who either adopt a weak or strong commitment strategy for managing their alliances and partnerships. Actors who pursue a weak commitment strategy|i.e. immediately abandon current partners when a more pro table alternative is presented|are more likely to identify the most rewarding alliances. On the other hand, actors who enact a strong commitment approach are more likely to take advantage of whatever opportunities can be found in existing partnerships. Using agent-based modeling, we show that actors who adopt a moderate commitment strategy overcome this dilemma and outperform actors who adopt either weak or strong commitment approaches. We also show that avoiding this dilemma rests on experiencing a related tradeo : moderately-committed actors sacri ce short-term performance for the superior knowledge and information that allows them to eventually do better

Adversity and academic performance among adolescent youth: a community-based participatory research study

Researchers and youth stakeholders devised a survey on 27 adversities based on youth expertise, clinical practice, and adversity literature. The aim of the study was to understand the prevalence of individual and cumulative adversities, and association of adversities to age, gender, race/ethnicity and academic performance among a community sample of urban high school students. All participants experienced two or more adversities and experienced greater overall adversity than youth in population-based studies. Youth-proposed stressors were among the most prevalent, and females, older youth, and African American youth reported disproportionately greater number of adversities. Specific types of adversities were endorsed differentially based on gender and race/ethnicity. Adversity score and most adversities were not associated with academic performance, with the exception of youth substance abuse and bullying victimization which were respectively positively and negatively correlated. Future research should explore protective factors for academic success despite high adversity, as well as continued integration of youth voice in research