Balanced Scorecard for Performance Measurement of a Nursing Organization in a Korean Hospital.
10.4040/jkan.2008.38.1.45
- Author:
Yoonmi HONG
1
;
Kyung Ja HWANG
;
Mi Ja KIM
;
Chang Gi PARK
Author Information
1. Department of Nursing, Kwandong Universty, Gangneung, Korea. ymhong@kwandong.ac.kr
- Publication Type:Original Article ; English Abstract ; Validation Studies
- Keywords:
Nursing;
Performance Evaluation;
Indicators;
Reliability;
Validity
- MeSH:
Adult;
Female;
Health Knowledge, Attitudes, Practice;
Hospitals;
Humans;
Korea;
Male;
Nursing Evaluation Research;
Nursing Staff, Hospital/organization & administration/*standards;
Questionnaires;
Task Performance and Analysis;
Young Adult
- From:
Journal of Korean Academy of Nursing
2008;38(1):45-54
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: The purpose of this study was to develop a balanced scorecard (BSC) for performance measurement of a Korean hospital nursing organization and to evaluate the validity and reliability of performance measurement indicators. METHOD: Two hundred fifty-nine nurses in a Korean hospital participated in a survey questionnaire that included 29-item performance evaluation indicators developed by investigators of this study based on the Kaplan and Norton's BSC (1992). Cronbach's alpha was used to test the reliability of the BSC. Exploratory and confirmatory factor analysis with a structure equation model (SEM) was applied to assess the construct validity of the BSC. RESULT: Cronbach's alpha of 29 items was .948. Factor analysis of the BSC showed 5 principal components (eigen value >1.0) which explained 62.7% of the total variance, and it included a new one, community service. The SEM analysis results showed that 5 components were significant for the hospital BSC tool. CONCLUSION: High degree of reliability and validity of this BSC suggests that it may be used for performance measurements of a Korean hospital nursing organization. Future studies may consider including a balanced number of nurse managers and staff nurses in the study. Further data analysis on the relationships among factors is recommended.
