The Relationship Between Administrative Style and The Use of Computer-Based Systems: An Attitudinal Study of Academic Library Professionals
Olsgaard, John Newman
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https://hdl.handle.net/2142/69484
Description
Title
The Relationship Between Administrative Style and The Use of Computer-Based Systems: An Attitudinal Study of Academic Library Professionals
Author(s)
Olsgaard, John Newman
Issue Date
1984
Department of Study
Library Science
Discipline
Library Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Information Science
Abstract
This study examines the relationship between the attitude of academic library professionals toward the level of participative management used by immediate supervisors in academic libraries in the United States, and the attitude of professional academic library employees toward computer-based systems. The null hypothesis was that no statistically significant relationship exists between these variables. The alternative hypothesis was that a statistical relationship does exist.
In order to explore the above hypotheses a mail survey was conducted of two populations. The first sample consisted of a stratified random sample of personal members of the Association of College and Research Libraries. The second sample constituted a 100 percent sample of the professional staff in thirteen academic libraries of varying size in the Midwest. The return rate for each sample was over 70 percent.
Following an analysis of each question of the survey instrument, the results were used to test the hypotheses. It was determined that a statistically significant nonlinear relationship does exist between the variables, that is, that the alternative hypothesis was supported. It was further determined that a model explaining the variation of the attitude of academic librarians toward computer-based systems could be constructed. This model was tested by instituting a logarithmic transformation of both the data reflecting the level of participative management, and of the data of a variable reflecting exposure to computer-based systems. By imposing additional refinements, over 80 percent of the variance of the dependent variable could be explained through the use of this proposed model.
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