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A Multilevel Study of Interpersonal Influence in Academic ‘Influence Networks’
Unformatted Document Text:  Influence Networks 27 870). Including a random-effect variable in tests of interpersonal influence fits nicely with social influence research because these variables can be used to specify a range of behavioral domains that represent the object of influence. Many behaviors are of interest within organizational research. As organizations strive to adopt innovative ideas and practices and also as they strive to understand the sources of influence within the organizational environment, it is useful to develop an understanding for when key individuals are more likely to significantly contribute to adoption patterns. Conclusion In their review of research on communication networks, Monge and Contractor (2001) emphasize that future research should include multiple levels of analysis as well as merge multiple theoretical perspectives. This study is an example of such an approach and it employs a multilevel test of influence processes that provides a basis for integrating structural level variables into explanations of individual level behavior. The use of multilevel and multitheoretical perspectives to integrate the structural, behavioral, and individual variables will result in a theory that more fully explains the conditions that shape influence processes.

Authors: Wolski, Stacy.
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Influence Networks 27
870). Including a random-effect variable in tests of interpersonal influence fits nicely with social
influence research because these variables can be used to specify a range of behavioral domains
that represent the object of influence. Many behaviors are of interest within organizational
research. As organizations strive to adopt innovative ideas and practices and also as they strive
to understand the sources of influence within the organizational environment, it is useful to
develop an understanding for when key individuals are more likely to significantly contribute to
adoption patterns.
Conclusion
In their review of research on communication networks, Monge and Contractor (2001)
emphasize that future research should include multiple levels of analysis as well as merge
multiple theoretical perspectives. This study is an example of such an approach and it employs a
multilevel test of influence processes that provides a basis for integrating structural level
variables into explanations of individual level behavior. The use of multilevel and
multitheoretical perspectives to integrate the structural, behavioral, and individual variables will
result in a theory that more fully explains the conditions that shape influence processes.


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