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The impact of balanced scorecard usa...
~
Christesen, David Allen.
The impact of balanced scorecard usage on organization performance.
紀錄類型:
書目-電子資源 : 單行本
正題名/作者:
The impact of balanced scorecard usage on organization performance./
作者:
Christesen, David Allen.
面頁冊數:
109 p.
附註:
Source: Dissertation Abstracts International, Volume: 69-02, Section: A, page: 0661.
Contained By:
Dissertation Abstracts International69-02A.
標題:
Business Administration, Management. -
電子資源:
Download PDF (下載PDF全文)
ISBN:
9780549477068
The impact of balanced scorecard usage on organization performance.
Christesen, David Allen.
The impact of balanced scorecard usage on organization performance.
- 109 p.
Source: Dissertation Abstracts International, Volume: 69-02, Section: A, page: 0661.
Thesis (Ph.D.)--University of Minnesota, 2008.
This study investigated the impact of balanced scorecard usage on the performance of 61 companies, where 32 companies were balanced scorecard users and 29 companies were not balanced scorecard users. The 61 companies included in this study represented three industries: financial services, telecommunications, and energy. Three performance variables were used to test the impact of balanced scorecard usage and industry: revenue, net income, and return on assets.
ISBN: 9780549477068Subjects--Topical Terms:
1000005542
Business Administration, Management.
The impact of balanced scorecard usage on organization performance.
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Source: Dissertation Abstracts International, Volume: 69-02, Section: A, page: 0661.
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Adviser: Gary N. McLean.
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Thesis (Ph.D.)--University of Minnesota, 2008.
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This study investigated the impact of balanced scorecard usage on the performance of 61 companies, where 32 companies were balanced scorecard users and 29 companies were not balanced scorecard users. The 61 companies included in this study represented three industries: financial services, telecommunications, and energy. Three performance variables were used to test the impact of balanced scorecard usage and industry: revenue, net income, and return on assets.
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Two statistical tests were used to test the significance of balanced scorecard and industry on the three performance variables. Multivariate analysis of covariance (MANCOVA) was used as the omnibus test of the two independent variables (balanced scorecard and industry) using 2006 results from each company as the dependent variables and 2002 results as the covariates. Follow-up univariate tests using analysis of covariance (ANCOVA) were used to test each 2006 dependent variable separately, while continuing to use each 2003 performance variable as a covariate. A post-hoc Tukey test was used to assess the industry differences.
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The results of the multivariate analysis of covariance (MANCOVA) showed both balanced scorecard and industry to be statistically significant, while the interaction of balanced scorecard and industry was not statistically significant. The results of the univariate tests, analysis of covariance (ANCOVA), did not find revenue or net income to be statistically significant but did find remit on assets to be statistically significant for balanced scorecard and industry. The Tukey post-hoc test found the return on assets results to be significantly different for the telecommunications industry when compared to the financial services and the energy industries. This study provides new information about the use and impact of balanced scorecard and demonstrates the need for management and HARD professionals to be aware of the significant amount of research available on the use of large interventions, like balanced scorecard, prior to recommending such a direction.
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Download PDF (下載PDF全文)
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