His primary scientific interests are in Positive economics, Organizational behavior, Social psychology, Statistics and Strong ties. His research in Positive economics intersects with topics in Management, Balance theory, Structuralism, Individualism and Business economics. His Organizational behavior research integrates issues from Economic geography, Bridging, Organizational boundaries, Power and Innovation management.
His studies in Social psychology integrate themes in fields like Predictability and Social network. His Type I and type II errors, Regression analysis and Resampling study in the realm of Statistics connects with subjects such as Data processing. Many of his Strong ties research pursuits overlap with Context, Embeddedness, Social capital, Network configuration and Marketing.
David Krackhardt focuses on Social psychology, Social network, Interpersonal communication, Knowledge management and Artificial intelligence. His Social psychology research is multidisciplinary, incorporating perspectives in Perception and Reputation. His biological study spans a wide range of topics, including Social influence, Organizational behavior, Peer influence and Cluster analysis.
The study incorporates disciplines such as Social psychology, Turnover and Public relations in addition to Organizational behavior. His Interpersonal communication research incorporates themes from Self-monitoring, Cognitive map, Cognitive science and Social capital. David Krackhardt has researched Social capital in several fields, including Marketing and Embeddedness.
David Krackhardt spends much of his time researching Social network, Knowledge management, Cluster analysis, Nursing and Peer influence. His Social network research incorporates elements of Network topology, Econometrics and Information system. His work on Knowledge community and Knowledge sharing as part of general Knowledge management study is frequently linked to Traditional knowledge and Innovation process, therefore connecting diverse disciplines of science.
His studies deal with areas such as Linear regression, Combinatorics, Transitive relation, Instrumental variable and Advertising as well as Cluster analysis. His Nursing research includes elements of Teamwork and Health care. He interconnects Field, Cognition and Affect in the investigation of issues within Interpersonal communication.
The scientist’s investigation covers issues in Emergency medical services, Nursing, Teamwork, Social network and Technician. His work carried out in the field of Emergency medical services brings together such families of science as Chart and Identification. His research integrates issues of Social network analysis, Nursing research, Task and Applied psychology in his study of Teamwork.
David Krackhardt works mostly in the field of Social network, limiting it down to topics relating to Peer influence and, in certain cases, Marketing, as a part of the same area of interest. His Marketing research integrates issues from Instrumental variable and Cluster analysis. His Technician study combines topics from a wide range of disciplines, such as Workforce, Health care, Patient safety and Agency.
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Redundant governance structures: an analysis of structural and relational embeddedness in the steel and semiconductor industries
Tim Rowley;Dean Behrens;David Krackhardt.
Strategic Management Journal (2000)
Assessing the political landscape: Structure, cognition, and power in organizations.
Administrative Science Quarterly (1990)
The Strength of Strong Ties : The Importance of Philos in Organizations
Informal Networks and Organizational Crises: An Experimental Simulation
David Krackhardt;Robert N. Stern.
Social Psychology Quarterly (1988)
Informal networks: the company behind the chart
David Krackhardt;Jeffrey R. Hanson.
Harvard Business Review (1993)
Cognitive social structures
Social Networks (1987)
PREDICTING WITH NETWORKS: NONPARAMETRIC MULTIPLE REGRESSION ANALYSIS OF DYADIC DATA *
Social Networks (1988)
Bringing the Individual Back in: A Structural Analysis of the Internal Market for Reputation in Organizations
Martin Kilduff;David Krackhardt.
Academy of Management Journal (1994)
On the robustness of centrality measures under conditions of imperfect data
Stephen P. Borgatti;Kathleen M. Carley;David Krackhardt.
Sensitivity of MRQAP Tests to Collinearity and Autocorrelation Conditions
David Dekker;David Krackhardt;Tom A. B. Snijders.
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