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Counting on Change : = A Quantitativ...
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Northeastern University.
Counting on Change : = A Quantitative Evaluation of the Relationship of Continuous Improvement to Organizational Performance Outcomes at United States Public Sector Clean Water Utilities.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Counting on Change :/
其他題名:
A Quantitative Evaluation of the Relationship of Continuous Improvement to Organizational Performance Outcomes at United States Public Sector Clean Water Utilities.
作者:
Cousar, Regina Dobson.
面頁冊數:
1 online resource (203 pages)
附註:
Source: Dissertation Abstracts International, Volume: 78-09(E), Section: A.
Contained By:
Dissertation Abstracts International78-09A(E).
標題:
Educational leadership. -
電子資源:
click for full text (PQDT)
ISBN:
9781369714982
Counting on Change : = A Quantitative Evaluation of the Relationship of Continuous Improvement to Organizational Performance Outcomes at United States Public Sector Clean Water Utilities.
Cousar, Regina Dobson.
Counting on Change :
A Quantitative Evaluation of the Relationship of Continuous Improvement to Organizational Performance Outcomes at United States Public Sector Clean Water Utilities. - 1 online resource (203 pages)
Source: Dissertation Abstracts International, Volume: 78-09(E), Section: A.
Thesis (Ed.D.)--Northeastern University, 2017.
Includes bibliographical references
As of 2016, existing United States clean water infrastructure has continued to age and faces challenging times in the future. Organizational leaders need improvement tools to support and sustain water assets and services for healthy communities. Continuous improvement mechanisms that could potentially induce desired performance outcomes point to strategic themes, such as management practices. These strategic themes are attributes of the Burke-Litwin causal model of organizational performance and outcome (Burke & Litwin, 1992) and can be examined using a realistic program evaluation approach (Pawson & Tilley, 1997). This retrospective quantitative study applied these two theoretical pillars to evaluate the relationship of continuous improvement to performance outcomes at public sector U. S. clean water utilities considering internal mediating factors and moderating external settings.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369714982Subjects--Topical Terms:
585508
Educational leadership.
Index Terms--Genre/Form:
554714
Electronic books.
Counting on Change : = A Quantitative Evaluation of the Relationship of Continuous Improvement to Organizational Performance Outcomes at United States Public Sector Clean Water Utilities.
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A Quantitative Evaluation of the Relationship of Continuous Improvement to Organizational Performance Outcomes at United States Public Sector Clean Water Utilities.
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Source: Dissertation Abstracts International, Volume: 78-09(E), Section: A.
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As of 2016, existing United States clean water infrastructure has continued to age and faces challenging times in the future. Organizational leaders need improvement tools to support and sustain water assets and services for healthy communities. Continuous improvement mechanisms that could potentially induce desired performance outcomes point to strategic themes, such as management practices. These strategic themes are attributes of the Burke-Litwin causal model of organizational performance and outcome (Burke & Litwin, 1992) and can be examined using a realistic program evaluation approach (Pawson & Tilley, 1997). This retrospective quantitative study applied these two theoretical pillars to evaluate the relationship of continuous improvement to performance outcomes at public sector U. S. clean water utilities considering internal mediating factors and moderating external settings.
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This benchmarking study quantified mechanisms amongst the participants, identified any common mediating variables such as skills, and pinpointed mutual moderating characteristics, such as local climate. For efficacy, the applied survey, developed based on literature, was pilot tested prior to use at a site excluded from the full study, as well as being reviewed by subject matter experts. The full study included 32 clean water utilities in the United States. Artifacts such as Moody's identification of 2015 investment grade credit, online compliance data from the EPA, and online safety information from OSHA were assessed. Data analysis was based on relationships found using SPSS Automatic Linear Modeling. By using inferential statistics and the study members' practical input, results from the benchmarking amongst and between the participants exposed relationships between continuous improvement implementations and performance outcomes.
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