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A Multitheoretical Network Perspective on Organizational Member's Information Retrieval From Human and Digital Knowledge Repositories

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Abstract:

The goal of this study was to theorize and empirically test network models of organizational member?s information retrieval from their colleagues and digital knowledge repositories (e.g. intranets and databases). Based on the Multi-theoretical Multilevel (MTML) framework (Contractor, Wasserman & Faust, 2006; Monge & Contractor, 2003), this study applied and extended 3 social science theories (transactive memory, public goods, and social contagion) to examine team members? information retrieval networks. Empirical data were collected from 9 organizational work teams in Western Europe. A cutting-edge social network analysis technique, Exponential Random Graph Modeling/p* analysis, was conducted to test the hypotheses. The results found that team members had the greatest tendency to retrieve information from those colleagues whom they perceived to be knowledgeable and accessible. In addition, team members? information retrieval from digital knowledge repositories was greatly influenced by social contagion effects. As one of the original research using a multi-theoretical perspective to examine multidimensional information retrieval networks, this study has important implications for theoretical development, methodological applications, and managerial practices.

Most Common Document Word Stems:

inform (255), knowledg (255), retriev (213), network (128), member (115), team (109), domain (99), model (91), organiz (85), social (84), sourc (74), structur (70), digit (70), studi (66), human (62), repositori (62), communic (57), p (49), research (44), j (43), level (42),

Author's Keywords:

information retrieval, knowledge networks, social network analysis
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Name: International Communication Association
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MLA Citation:

Su, Chunke. "A Multitheoretical Network Perspective on Organizational Member's Information Retrieval From Human and Digital Knowledge Repositories" Paper presented at the annual meeting of the International Communication Association, TBA, Montreal, Quebec, Canada, May 21, 2008 <Not Available>. 2009-05-23 <http://www.allacademic.com/meta/p232629_index.html>

APA Citation:

Su, C. , 2008-05-21 "A Multitheoretical Network Perspective on Organizational Member's Information Retrieval From Human and Digital Knowledge Repositories" Paper presented at the annual meeting of the International Communication Association, TBA, Montreal, Quebec, Canada Online <PDF>. 2009-05-23 from http://www.allacademic.com/meta/p232629_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Abstract: The goal of this study was to theorize and empirically test network models of organizational member?s information retrieval from their colleagues and digital knowledge repositories (e.g. intranets and databases). Based on the Multi-theoretical Multilevel (MTML) framework (Contractor, Wasserman & Faust, 2006; Monge & Contractor, 2003), this study applied and extended 3 social science theories (transactive memory, public goods, and social contagion) to examine team members? information retrieval networks. Empirical data were collected from 9 organizational work teams in Western Europe. A cutting-edge social network analysis technique, Exponential Random Graph Modeling/p* analysis, was conducted to test the hypotheses. The results found that team members had the greatest tendency to retrieve information from those colleagues whom they perceived to be knowledgeable and accessible. In addition, team members? information retrieval from digital knowledge repositories was greatly influenced by social contagion effects. As one of the original research using a multi-theoretical perspective to examine multidimensional information retrieval networks, this study has important implications for theoretical development, methodological applications, and managerial practices.

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Document Type: PDF
Page count: 40
Word count: 10494
Text sample:
Information Retrieval 1 Running Head: TEAM MEMBERS’ INFORMATION RETRIEVAL Information Retrieval from Team Members and Organizational Digital Knowledge Repositories: A Multi-theoretical Network Perspective Chunke Su University of Texas at Arlington Chunke Su (Ph.D. University of Illinois at Urbana-Champaign 2007) is an assistant professor in the Department of Communication at the University of Texas at Arlington. Address correspondence to the author of the paper at: Department of Communication Box 19107 700 W. Greek Row Dr. University of Texas at Arlington
Information Retrieval 40 Predictors of information retrieval from human and digital knowledge repositories Independent Variables Teams’ tendency in retrieving Teams’ tendency in retrieving information from team information from digital members knowledge repositories Knowledge complexity -0.12 -0.33* Knowledge codifiability 0.17 0.18 Adjusted R-Squared 0.02 0.14 F Statistic (sig.) 1.61 5.63** NOTE: Standardized beta coefficient are reported Method= enter ** p < 0.01 * p < 0.05


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