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dc.creatorDurrington, Vance A.
dc.date.available2011-02-18T19:19:03Z
dc.date.issued1997-12
dc.identifier.urihttp://hdl.handle.net/2346/10299en_US
dc.description.abstractIdentifying predictors of computer use such as attitude, anxiety, and receptivity to change have been the primary area of interest in instmctional technology. Research relating to the diffusion of innovations in education has been based primarily on looking at these individual characteristics as predictors of use. This dissertation proposes to use social network analysis to study the diffusion of two computer-based administrative innovations within a university faculty network. Methodology issues concerning time of adoption and network nominations were examined as well as the relationship of time of adoption and the number of network nominations received, spatial proximity, and organizational unit proximity. Finally, the diffusion of the innovations was to be analyzed using the dual-classification and T/CM models.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherTexas Tech Universityen_US
dc.subjectHigher educationen_US
dc.subjectSocial networksen_US
dc.subjectComputer networksen_US
dc.subjectLocal area networksen_US
dc.subjectOffice practiceen_US
dc.titleA longitudinal study of the diffusion of a computer-based administrative innovation within a university faculty network
dc.typeDissertation
thesis.degree.nameEd.D.
thesis.degree.levelDoctoral
thesis.degree.disciplineInstructional Technology
thesis.degree.grantorTexas Tech University
thesis.degree.departmentInstructional Technology
thesis.degree.departmentEducation
dc.degree.departmentInstructional Technologyen_US
dc.rights.availabilityUnrestricted.


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