The concept of collective identity has gained prominence within organizational theory as researchers have studied how it consequentially shapes organizational behavior. However, much less attention has been paid to the question of how nascent collective identities become legitimated. Although it is conventionally argued that membership expansion leads to collective identity legitimacy, we draw ...

The process of collective education in an organization that has the capacity to impact an organization’s operations, performance and outcomes is called organizational learning. In health care organizations, patient care is provided through one or more visible and invisible teams. These teams are composed of experts and novices from diverse backgrounds working together to provide coordinated car...

Mathematical modeling and analysis of collective behavior of multi-agent systems is an important tool that will enable researchers to study even very large systems, validate agent models and get insight into multi-agent system design. Biologists, for example, can compare the model’s predictions to the observed collective behavior of simple organisms, such as social insects, to understand indivi...

This study examined the relationship between externalizing behavior and academic engagement, and tested the possibility of class collective efficacy and class size moderating this relationship. Data were collected from 28 Chinese classrooms (N = 1034 students; grades 7, 8, and 9) with student reports. Hierarchical linear modeling was used to test all hypotheses and results revealed a negative r...

In this chapter, the authors use an Agent-Based Modeling (ABM) approach to model trading behavior in the Foreign Exchange (FX) market. They establish statistical properties (stylized facts) of the traders’ trading behavior in the FX market using a high-frequency dataset of anonymised OANDA individual traders’ historical transactions on an account level spanning 2.25 years. Using the identified ...

In this chapter, the authors use an Agent-Based Modeling (ABM) approach to model trading behavior in the Foreign Exchange (FX) market. They establish statistical properties (stylized facts) of the traders’ trading behavior in the FX market using a high-frequency dataset of anonymised OANDA individual traders’ historical transactions on an account level spanning 2.25 years. Using the identified ...

This paper concerns the emergent properties of collective ro-botic systems with imposed microscopic and macroscopic constraints. These constraints dramatically impact the emergent behavior of collective systems so that creating desired emergence becomes very challenged. In this paper we present the top-down swarm embodiment methodology that allows obtaining desired collective behavior in system...

Persistent, widespread harassment in schools can be understood as a product of collective school norms that deem harassment, and behavior allowing harassment to escalate, as typical and even desirable. Thus, one approach to reducing harassment is to change students' perceptions of these collective norms. Theory suggests that the public behavior of highly connected and chronically salient actors...

Persistent, widespread harassment in schools can be understood as a product of collective school norms that deem harassment, and behavior allowing harassment to escalate, as typical and even desirable. Thus, one approach to reducing harassment is to change students’ perceptions of these collective norms. Theory suggests that the public behavior of highly connected and chronically salient actors...

In this research, we propose a novel framework referred to as collective game behavior decomposition where complex collective behavior is assumed to be generated by aggregation of several groups of agents following different strategies and complexity emerges from collaboration and competition of individuals. The strategy of an agent is modeled by certain simple game theory models with limited i...