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Extraction Method: Principal Axis Factoring. Total Variance Explained KMO and Bartlett's Test

Table 19 Extraction Method: Principal Axis Factoring. Total Variance Explained KMO and Bartlett's Test

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Table 1: Profile of Respondent Organizations
Table 1: Profile of Respondent Organizations
Table 2: Means and Standard Deviations of Key Variables Table 3 presents the correlations of the key variables in this study. The first five variables represent measures of HR involvement in the formulation of corporate mechanisms that facilitate the promotion of good corporate governance and management of risk: HRISTRAT, HRICON, HRICGS, IHRIQ6, and ITHRIQ19 (Please refer to Appendix C for definitions of variables). The second set of five variables represents measures of the degree to which these mechanisms are formalized and implemented: PSTRAT, PCON, PCGS, HPRQ6, and IIPRQ19. The third set of five variables pertains to measures of the degree to which specific human resource management functions are linked with corporate governance objectives: GACQ, GDEV, GCOMP, GER and GMHRE. The fourth set of five variables measures the degree to which these human resource management functions are linked to risk management objectives: RMACQ, RMDEV, RMCOMP, RMER, and
Table 2: Means and Standard Deviations of Key Variables Table 3 presents the correlations of the key variables in this study. The first five variables represent measures of HR involvement in the formulation of corporate mechanisms that facilitate the promotion of good corporate governance and management of risk: HRISTRAT, HRICON, HRICGS, IHRIQ6, and ITHRIQ19 (Please refer to Appendix C for definitions of variables). The second set of five variables represents measures of the degree to which these mechanisms are formalized and implemented: PSTRAT, PCON, PCGS, HPRQ6, and IIPRQ19. The third set of five variables pertains to measures of the degree to which specific human resource management functions are linked with corporate governance objectives: GACQ, GDEV, GCOMP, GER and GMHRE. The fourth set of five variables measures the degree to which these human resource management functions are linked to risk management objectives: RMACQ, RMDEV, RMCOMP, RMER, and
Table 3: Correlation Matrix of Key Variables
Table 3: Correlation Matrix of Key Variables
Table 5: Comparison of Means of Key Variables between Publicly Listed and Not Publicly Listed Corporations Table 5 shows the differences of mean scores of key variables in the study. Publicly listed corporations were compared with those that were not publicly listed. In general, publicly listed corporations had higher mean scores in HRM involvement in the formulation and implementation of governance and risk mechanisms compared to corporations that were not publicly listed. This pattern was particularly significant in HRM involvement in strategic planning, in the formulation of behavior control mechanisms and risk management
Table 5: Comparison of Means of Key Variables between Publicly Listed and Not Publicly Listed Corporations Table 5 shows the differences of mean scores of key variables in the study. Publicly listed corporations were compared with those that were not publicly listed. In general, publicly listed corporations had higher mean scores in HRM involvement in the formulation and implementation of governance and risk mechanisms compared to corporations that were not publicly listed. This pattern was particularly significant in HRM involvement in strategic planning, in the formulation of behavior control mechanisms and risk management
‘lease encircle a number from “1” to “5” that best describes the performance of your organization, in year 2002 in each of the following areas. Use the following scale: if you think your organization’s performance in the area was outstanding, encircle “5’’, if you think performance was poor, encircle “1’’, if you think performance was somewhere in between, write any of the numbers between ‘1” and “5”.
‘lease encircle a number from “1” to “5” that best describes the performance of your organization, in year 2002 in each of the following areas. Use the following scale: if you think your organization’s performance in the area was outstanding, encircle “5’’, if you think performance was poor, encircle “1’’, if you think performance was somewhere in between, write any of the numbers between ‘1” and “5”.
performance was somewhere in between, write any of the numbers between ‘1” and 62?
performance was somewhere in between, write any of the numbers between ‘1” and 62?
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained Extraction Method: Principal Axis Factoring. a. { factors extracted. 8 iterations required. Extraction Method: Principal Axis Factoring.
Extraction Method: Principal Axis Factoring. Total Variance Explained Extraction Method: Principal Axis Factoring. a. { factors extracted. 8 iterations required. Extraction Method: Principal Axis Factoring.
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained =xtraction Method: Principal Axis Factoring. a. { factors extracted. 8 iterations required. xtraction Method: Principal Axis Factoring.
Extraction Method: Principal Axis Factoring. Total Variance Explained =xtraction Method: Principal Axis Factoring. a. { factors extracted. 8 iterations required. xtraction Method: Principal Axis Factoring.
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Extraction Method: Principal Axis Factoring.
Extraction Method: Principal Axis Factoring. Extraction Method: Principal Axis Factoring.
Total Variance Explained
Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained Extraction Method: Principal Axis Factoring.
Extraction Method: Principal Axis Factoring. Total Variance Explained Extraction Method: Principal Axis Factoring.
Extraction Method: Principal Axis Factoring. Total Variance Explained
Extraction Method: Principal Axis Factoring. Total Variance Explained
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