Organizational Network Analysis
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Organizational Network Analysis
Organizational network analysis (ONA) is a method for studying communication and socio-technical networks within a formal organization. This technique creates statistical and graphical models of the people, tasks, groups, knowledge and resources of organizational systems. It is based on social network theory and more specifically, dynamic network analysis. Applications ONA can be used in a variety of ways by managers, consultants, and executives. Network visualizations There are several tools that allow managers to visually depict their employee networks. Most of the tools are built specifically for researchers and academics who study Network theory, but are relatively inexpensive to use, as long as the leaders are well-versed on how to capture the information, feed it into the tool in the correct formats, and understand how to "read" and translate the network graphs into business decisions. Innovation gauge Several recent studies and research has highlighted that 'Psycholo ...
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Social Network Theory
A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalize ...
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Dynamic Network Analysis
Dynamic network analysis (DNA) is an emergent scientific field that brings together traditional social network analysis (SNA), link analysis (LA), social simulation and multi-agent systems (MAS) within network science and network theory. Dynamic networks are a function of time (modeled as a subset of the real numbers) to a set of graphs; for each time point there is a graph. This is akin to the definition of dynamical systems, in which the function is from time to an ambient space, where instead of ambient space time is translated to relationships between pairs of vertices. Overview There are two aspects of this field. The first is the statistical analysis of DNA data. The second is the utilization of simulation to address issues of network dynamics. DNA networks vary from traditional social networks in that they are larger, dynamic, multi-mode, multi-plex networks, and may contain varying levels of uncertainty. The main difference of DNA to SNA is that DNA takes interactions of ...
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Social Network Analysis Software
Social network analysis software (SNA software) is software which facilitates quantitative or qualitative analysis of social networks, by describing features of a network either through numerical or visual representation. Overview Networks can consist of anything from families, project teams, classrooms, sports teams, legislatures, nation-states, disease vectors, membership on networking websites like Twitter or Facebook, or even the Internet. Networks can consist of direct linkages between nodes or indirect linkages based upon shared attributes, shared attendance at events, or common affiliations. Network features can be at the level of individual nodes, dyads, triads, ties and/or edges, or the entire network. For example, node-level features can include network phenomena such as betweenness and centrality, or individual attributes such as age, sex, or income. SNA software generates these features from raw network data formatted in an edgelist, adjacency list, or adjacency ...
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Psychological Safety
Psychological safety is the belief that you won't be punished or humiliated for speaking up with ideas, questions, concerns, or mistakes. In teams, it refers to team members believing that they can take risks without being shamed by other team members. In ''psychologically safe'' teams, team members feel accepted and respected. It is also the most studied enabling condition in group dynamics and team learning research. Psychological safety benefits organizations and teams in many different ways. There are multiple empirically supported consequences of a team being psychologically safe. Most of the research on the effects of psychological safety has focused on benefits, but there are some drawbacks that have been studied. Overview Psychological safety has been an important discussion area in the field of psychology, behavioral management, leadership, teams, and healthcare. Results from a number of empirical studies conducted in various regions and countries show that psychologic ...
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The New York Times
''The New York Times'' (''the Times'', ''NYT'', or the Gray Lady) is a daily newspaper based in New York City with a worldwide readership reported in 2020 to comprise a declining 840,000 paid print subscribers, and a growing 6 million paid digital subscribers. It also is a producer of popular podcasts such as '' The Daily''. Founded in 1851 by Henry Jarvis Raymond and George Jones, it was initially published by Raymond, Jones & Company. The ''Times'' has won 132 Pulitzer Prizes, the most of any newspaper, and has long been regarded as a national " newspaper of record". For print it is ranked 18th in the world by circulation and 3rd in the U.S. The paper is owned by the New York Times Company, which is publicly traded. It has been governed by the Sulzberger family since 1896, through a dual-class share structure after its shares became publicly traded. A. G. Sulzberger, the paper's publisher and the company's chairman, is the fifth generation of the family to head the pa ...
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Amy Edmondson
Amy C. Edmondson is an American scholar of leadership, teaming, and organizational learning. She is currently Professor of Leadership at Harvard Business School. Edmondson is the author of seven books and more than 75 articles and case studies. She is best known for her pioneering work on psychological safety, which has helped spawn a large body of academic research in management, healthcare and education over the past 15 years. Her books include “The Fearless Organization,Creating Psychological Safety in the Workplace for Learning, Innovation, and Growth”) and “Teaming: How Organizations Learn, Innovate and Compete in the Knowledge Economy”. Education Edmondson received her PhD in organizational behavior, AM in psychology, and AB in engineering and design from Harvard University. Career Edmondson studies teaming, psychological safety, and organizational learning, and her articles have been published numerous academic and management outlets, including Administrative ...
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Social Networks
A social network is a social structure made up of a set of social actors (such as individuals or organizations), sets of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities as well as a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalize ...
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Systems Theory
Systems theory is the interdisciplinary study of systems, i.e. cohesive groups of interrelated, interdependent components that can be natural or human-made. Every system has causal boundaries, is influenced by its context, defined by its structure, function and role, and expressed through its relations with other systems. A system is "more than the sum of its parts" by expressing synergy or emergent behavior. Changing one component of a system may affect other components or the whole system. It may be possible to predict these changes in patterns of behavior. For systems that learn and adapt, the growth and the degree of adaptation depend upon how well the system is engaged with its environment and other contexts influencing its organization. Some systems support other systems, maintaining the other system to prevent failure. The goals of systems theory are to model a system's dynamics, constraints, conditions, and relations; and to elucidate principles (such as purpose, measure ...
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