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dc.contributor.advisorMcGuire, John
dc.contributor.authorNye, Chad Flynn
dc.date.accessioned2014-04-16T03:10:13Z
dc.date.available2014-04-16T03:10:13Z
dc.date.issued2007-05-01
dc.identifier.urihttps://hdl.handle.net/11244/9716
dc.description.abstractScope of the study is the adoption and use of nonlinear editing systems by local television news departments at network affiliated television stations in the United States. Method of the study is quantitative and qualitative data analysis. Data were collected using an online survey. This study applied diffusion of innovations theory to examine the adoption process of nonlinear editing systems by local television news departments. Data analysis showed the adoption rate between 1997 and 2007 followed the classic S-curve of diffusion theory. Tests of means between early and late adopters showed significant differences between early and late adopters for the variables Type of Decision Making Process Employed and Communication Channels Used. Early adopters indicated the decision to adopt nonlinear editing was made by an individual. Late adopters indicated they learned about nonlinear editing through face-to-face meetings and office meetings.
dc.formatapplication/pdf
dc.languageen_US
dc.publisherOklahoma State University
dc.rightsCopyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material.
dc.titleDiffusion of Nonlinear Editing Systems in U.S. Local Television Newsrooms
dc.typetext
dc.contributor.committeeMemberSmeyak, Paul
dc.contributor.committeeMemberMartin, Sheree
osu.filenameNye_okstate_0664M_2221.pdf
osu.collegeArts and Sciences
osu.accesstypeOpen Access
dc.description.departmentSchool of Media and Strategic Communications
dc.type.genreThesis
dc.subject.keywordsbroadcasting
dc.subject.keywordsbroadcast news
dc.subject.keywordstelevision
dc.subject.keywordstelevision news
dc.subject.keywordstelevision technology
dc.subject.keywordsnonlinear editing


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