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An Analysis of Organizational Factor...

Machie, Juliet .

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An Analysis of Organizational Factors as Predictors of Performance in Public Libraries.

Record Type:	Electronic resources : Monograph/item
Title/Author:	An Analysis of Organizational Factors as Predictors of Performance in Public Libraries./
Author:	Machie, Juliet .
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	202 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-07, Section: A.
Contained By:	Dissertations Abstracts International81-07A.
Subject:	Organizational behavior. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27735096
ISBN:	9781392573716

An Analysis of Organizational Factors as Predictors of Performance in Public Libraries.
Machie, Juliet .

An Analysis of Organizational Factors as Predictors of Performance in Public Libraries. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 202 p.

Source: Dissertations Abstracts International, Volume: 81-07, Section: A.

Thesis (Ed.D.)--Grand Canyon University, 2019.

This item must not be sold to any third party vendors.

This quantitative, correlational study applied multiple linear regression to analyze data, to determine if organizational factors predicted performance in public library organizations in the United States. The study's population was a purposive sample of public library directors in the United States. To answer the study's research question, the Burke-Litwin Organizational Assessment Survey was administered online to the study's sample, using Survey Monkey. Results from the study inferred that organizational factors predict performance. The analysis results indicated that 72% of the total variation in performance can be explained by the four predictor variables-mission and strategy, structure, systems, and culture. However, all of the study's predictor variables did not statistically significantly predict performance. The predictors, mission and strategy (t(53) = 1.298, p = 0.200) and systems (t(53) = 1.427, p = 0.159), did not statistically significantly contribute to the model. The predictors structure (t(53) = 2.480, p = 0.016) and culture t(53) = 4.450, p < 0.001) contributed statistically significantly to the model. This study addressed a gap in empirical knowledge, in the analysis of relationships between organizational performance and individual or a holistic view of organizational factors. Further, this study has implications for practice, as it affirms the articulation of the library enterprise as grounded on the fabric of change and recurrent regeneration of organizational factors for optimal performance.

ISBN: 9781392573716Subjects--Topical Terms:

516683
Organizational behavior.
Subjects--Index Terms:

Culture

An Analysis of Organizational Factors as Predictors of Performance in Public Libraries.
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245 1 3 $a An Analysis of Organizational Factors as Predictors of Performance in Public Libraries.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 202 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-07, Section: A.
500 $a Advisor: Nicholson, Briana.
502 $a Thesis (Ed.D.)--Grand Canyon University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a This quantitative, correlational study applied multiple linear regression to analyze data, to determine if organizational factors predicted performance in public library organizations in the United States. The study's population was a purposive sample of public library directors in the United States. To answer the study's research question, the Burke-Litwin Organizational Assessment Survey was administered online to the study's sample, using Survey Monkey. Results from the study inferred that organizational factors predict performance. The analysis results indicated that 72% of the total variation in performance can be explained by the four predictor variables-mission and strategy, structure, systems, and culture. However, all of the study's predictor variables did not statistically significantly predict performance. The predictors, mission and strategy (t(53) = 1.298, p = 0.200) and systems (t(53) = 1.427, p = 0.159), did not statistically significantly contribute to the model. The predictors structure (t(53) = 2.480, p = 0.016) and culture t(53) = 4.450, p < 0.001) contributed statistically significantly to the model. This study addressed a gap in empirical knowledge, in the analysis of relationships between organizational performance and individual or a holistic view of organizational factors. Further, this study has implications for practice, as it affirms the articulation of the library enterprise as grounded on the fabric of change and recurrent regeneration of organizational factors for optimal performance.
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