IÁO D TR O H KINH Chuyên ngành : Mã : 60.34.05 V TH S NG IH NG D N KHOA H C: TS TP H MINH – N 2013 i ii - - - iii i ii _ iii _ vi vi _ vii _ 1.1 1.2 1.3 1.4 u 1.5 _ 1.6 _ 2.1 2.1.1 _ 2.2 _ 21 2.2.1 _ 21 2.2.2 22 2.2.3 23 23 iv _ 24 24 3.1.1 _ 24 3.1.2 _ 24 3.1.3 25 3.1.4 Quy 3.1.5 3.2 _ 25 _ 27 _ 28 3.2.1 _ 28 3.2.2 28 3.2.3 29 3.2.4 29 3.2.5 30 3.2.6 30 3.2.7 30 3.2.8 _ 31 3.2.9 _ 31 3.3 _ 32 3.3.1 32 3.3.2 _ 32 3.3.3 33 34 _ 35 35 35 40 v 44 _ 45 46 49 _ 50 50 5.2 50 5.2 _ 50 5.2 _ 55 _ 58 5.2 58 5.2 _ 59 60 _ 61 62 _ 65 vi D 18 25 28 28 29 29 30 30 31 31 31 37 42 45 46 47 47 viên 21 27 vii 65 66 69 73 75 CH 1.1 NG 1: T QUAN , (NVVP)? - Nhân vi 1.2 : : - - 101 Rotated Component Matrixa Component Rev2 ,605 Prom2 ,531 Prom4 ,514 Prom1 ,737 Prom3 ,747 Rev3 ,751 Rev4 ,761 Rev1 ,501 ,401 ,494 Cow2 ,835 Cow3 ,822 Cow1 ,804 Sup1 ,513 Sup2 ,497 ,407 Pay2 ,807 Pay1 ,762 Pay3 ,708 Work3 ,750 Work1 ,664 Work2 ,623 Work4 ,584 Ben1 ,815 Ben2 ,724 Ben3 ,681 Env2 ,852 Env4 ,769 Env1 ,708 Env3 ,636 Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser Normalization.a a Rotation converged in iterations 102 Component Transformation Matrix Component ,619 ,312 ,421 ,370 ,402 ,136 ,158 -,377 ,794 -,140 ,168 -,221 ,310 ,183 ,010 -,059 -,212 -,566 ,433 ,345 ,570 -,572 -,257 ,720 ,105 ,100 ,212 ,151 -,110 -,388 -,466 ,701 ,142 ,227 ,240 ,283 -,191 ,053 -,104 -,404 ,792 -,281 ,233 -,123 ,145 ,029 -,639 -,206 ,676 Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser Normalization KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy Approx Chi-Square Bartlett's Test of Sphericity ,847 2207,296 Df 325 Sig ,000 103 Communalities Initial Extraction Work1 1,000 ,604 Work2 1,000 ,613 Work3 1,000 ,640 Work4 1,000 ,527 Prom1 1,000 ,546 Prom2 1,000 ,452 Prom3 1,000 ,719 Prom4 1,000 ,647 Sup1 1,000 ,440 Cow1 1,000 ,664 Cow2 1,000 ,749 Cow3 1,000 ,791 Pay1 1,000 ,654 Pay2 1,000 ,721 Pay3 1,000 ,707 Ben1 1,000 ,581 Ben2 1,000 ,608 Ben3 1,000 ,656 Env1 1,000 ,560 Env2 1,000 ,720 Env3 1,000 ,480 Env4 1,000 ,670 Rev1 1,000 ,676 Rev2 1,000 ,633 Rev3 1,000 ,621 Rev4 1,000 ,526 Extraction Method: Principal Component Analysis 104 Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance 7,545 29,019 29,019 7,545 29,019 2,599 9,998 39,017 2,599 9,998 1,884 7,247 46,263 1,884 7,247 1,560 6,000 52,263 1,560 6,000 1,396 5,371 57,634 1,396 5,371 1,221 4,694 62,328 1,221 4,694 ,987 3,797 66,125 ,837 3,220 69,345 ,782 3,009 72,353 10 ,750 2,886 75,239 11 ,668 2,571 77,810 12 ,623 2,395 80,206 13 ,581 2,236 82,442 14 ,567 2,180 84,621 15 ,505 1,942 86,563 16 ,438 1,685 88,248 17 ,418 1,607 89,855 18 ,411 1,580 91,435 19 ,379 1,458 92,893 20 ,354 1,360 94,253 21 ,333 1,281 95,534 22 ,293 1,126 96,660 23 ,269 1,035 97,696 24 ,231 ,887 98,583 25 ,198 ,762 99,345 26 ,170 ,655 100,000 105 Total Variance Explained Component Extraction Sums of Rotation Sums of Squared Loadings Squared Loadings Cumulative % Total % of Variance Cumulative % 29,019 4,417 16,987 16,987 39,017 2,699 10,380 27,367 46,263 2,591 9,966 37,333 52,263 2,573 9,896 47,229 57,634 2,294 8,825 56,054 62,328 1,631 6,274 62,328 Extraction Method: Principal Component Analysis a components extracted a 106 Rotated Component Matrixa Component Rev2 ,692 Prom3 ,670 Prom2 ,600 Prom1 ,579 Prom4 ,579 ,735 Rev4 ,747 Rev1 ,755 Rev3 ,429 ,491 Pay2 ,803 Pay1 ,743 Pay3 ,711 Cow3 ,859 Cow2 ,854 Cow1 ,798 Sup1 ,445 Ben1 ,707 Env1 ,692 Ben3 ,441 ,631 Ben2 ,590 Env3 ,513 Work3 ,753 Work1 ,676 Work2 ,619 Work4 ,594 Env2 ,837 Env4 ,780 Component Transformation Matrix Component ,673 ,436 ,256 ,398 ,337 ,139 -,397 -,118 ,807 -,009 ,186 ,378 ,032 -,309 -,042 ,685 -,573 ,323 -,580 ,666 -,295 ,297 ,092 ,191 -,067 -,496 -,382 ,222 ,700 ,253 ,219 ,104 -,218 -,485 -,159 ,796 107 KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy Approx Chi-Square Bartlett's Test of Sphericity ,844 2123,048 df 300 Sig ,000 Communalities Initial Extraction Work1 1,000 ,621 Work2 1,000 ,634 Work3 1,000 ,636 Work4 1,000 ,524 Prom1 1,000 ,549 Prom2 1,000 ,463 Prom3 1,000 ,714 Prom4 1,000 ,642 Cow1 1,000 ,664 Cow2 1,000 ,764 Cow3 1,000 ,806 Pay1 1,000 ,650 Pay2 1,000 ,725 Pay3 1,000 ,708 Ben1 1,000 ,583 Ben2 1,000 ,614 Ben3 1,000 ,656 Env1 1,000 ,560 Env2 1,000 ,720 Env3 1,000 ,481 Env4 1,000 ,667 Rev1 1,000 ,677 Rev2 1,000 ,636 Rev3 1,000 ,623 Rev4 1,000 ,529 108 Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance 7,331 29,323 29,323 7,331 29,323 2,502 10,009 39,332 2,502 10,009 1,859 7,437 46,769 1,859 7,437 1,542 6,168 52,936 1,542 6,168 1,392 5,567 58,503 1,392 5,567 1,220 4,882 63,385 1,220 4,882 ,986 3,944 67,329 ,820 3,281 70,610 ,769 3,077 73,687 10 ,685 2,740 76,426 11 ,641 2,564 78,990 12 ,590 2,361 81,351 13 ,577 2,309 83,660 14 ,526 2,105 85,766 15 ,451 1,806 87,572 16 ,437 1,747 89,319 17 ,411 1,645 90,964 18 ,383 1,533 92,497 19 ,357 1,429 93,925 20 ,337 1,350 95,275 21 ,296 1,182 96,457 22 ,269 1,077 97,534 23 ,247 ,987 98,521 24 ,199 ,797 99,319 25 ,170 ,681 100,000 109 Component Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Cumulative % Total % of Variance Cumulative % 29,323 4,354 17,417 17,417 39,332 2,717 10,869 28,285 46,769 2,584 10,337 38,622 52,936 2,399 9,597 48,219 58,503 2,161 8,643 56,862 63,385 1,631 6,523 63,385 Component Matrix a Component Prom1 ,713 Rev1 ,710 Rev2 ,697 Prom4 ,696 Ben3 ,688 Pay3 ,653 Ben2 ,632 Rev3 ,616 Work2 ,602 Prom2 ,600 Pay2 ,585 Rev4 ,535 Ben1 ,517 Pay1 ,515 Env1 ,470 ,432 Work1 ,450 -,403 Env3 ,720 Prom3 ,430 -,416 ,411 ,477 Cow3 ,749 Cow2 ,688 Cow1 ,645 Work3 ,416 -,508 Work4 ,574 Env2 Env4 ,444 ,641 ,460 ,528 110 Rotated Component Matrixa Component Rev2 ,693 Prom3 ,669 Prom2 ,607 Prom1 ,580 Prom4 ,575 ,735 Rev4 ,750 Rev1 ,757 Rev3 ,504 Pay2 ,810 Pay1 ,734 Pay3 ,712 Ben1 ,710 Env1 ,692 Ben3 ,636 Ben2 ,598 Env3 ,509 Cow3 ,866 Cow2 ,859 Cow1 ,797 Work3 ,747 Work1 ,690 Work2 ,629 Work4 ,593 Env2 ,837 Env4 ,782 Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser Normalization.a a Rotation converged in iterations 111 KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy ,886 Approx Chi-Square Bartlett's Test of Sphericity 665,106 Df 10 Sig ,000 Communalities Initial Extraction Loy1 1,000 ,650 Loy2 1,000 ,709 Loy3 1,000 ,775 Loy4 1,000 ,835 Loy5 1,000 ,736 Extraction Method: Principal Component Analysis Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % 3,705 74,092 74,092 ,434 8,680 82,772 ,388 7,756 90,527 ,278 5,569 96,096 ,195 3,904 100,000 Total 3,705 % of Variance 74,092 112 Component Matrixa Component Loy4 ,914 Loy3 ,881 Loy5 ,858 Loy2 ,842 Loy1 ,806 Extraction Method: Principal Component Analysis.a a components extracted Rotated Component Matrixa a Only one component was extracted The solution cannot be rotated 113 Correlations FAC1_1 Pearson Correlation FAC1_1 FAC2_1 FAC3_1 FAC4_1 FAC5_1 FAC6_1 ,000 ,000 ,000 ,000 1,000 Sig (2-tailed) ,000 1,000 1,000 1,000 1,000 N 196 196 196 196 196 Pearson Correlation FAC2_1 196 ,000 ,000 ,000 ,000 ,000 1,000 1,000 1,000 1,000 Sig (2-tailed) 1,000 N 196 196 ,000 ,000 ,000 ,000 ,000 1,000 1,000 1,000 1,000 1,000 196 196 196 196 196 196 ,000 ,000 ,000 ,000 ,000 1,000 1,000 1,000 1,000 1,000 N 196 196 196 196 196 196 Pearson Correlation ,000 ,000 ,000 ,000 ,000 1,000 1,000 1,000 1,000 N 196 196 196 196 196 196 Pearson Correlation FAC6_1 196 Pearson Correlation FAC5_1 196 N FAC4_1 196 Pearson Correlation FAC3_1 196 ,000 ,000 ,000 ,000 ,000 1,000 1,000 1,000 1,000 1,000 196 196 196 196 196 196 ** ** * ** ** ,079 Sig (2-tailed) Sig (2-tailed) Sig (2-tailed) Sig (2-tailed) N Pearson Correlation FAC1_2 ,541 ,456 ,153 ,200 1,000 ,185 Sig (2-tailed) ,000 ,000 ,032 ,005 ,009 ,269 N 196 196 196 196 196 196 114 Correlations FAC1_2 Pearson Correlation Sig (2-tailed) ,153 Sig (2-tailed) ,032 N 196 Pearson Correlation ,200 Sig (2-tailed) ,005 N 196 Pearson Correlation ,185 Sig (2-tailed) ,009 N 196 Pearson Correlation ,079 Sig (2-tailed) ,269 N FAC6_1 196 Pearson Correlation FAC5_1 ,000 N FAC4_1 ,456 Sig (2-tailed) FAC3_1 196 Pearson Correlation FAC2_1 ,000 N FAC1_1 ,541 196 1** Pearson Correlation FAC1_2 Sig (2-tailed) N 200 ** Correlation is significant at the 0.01 level (2-tailed) * Correlation is significant at the 0.05 level (2-tailed) Model Summary Model R Square a ,773 ,598 Adjusted R Std Error of Square R the Estimate ,588 ,64595630 a Predictors: (Constant), FAC5_1, FAC4_1, FAC3_1, FAC2_1, FAC1_1 115 a ANOVA Model Sum of df Mean Square F Sig Squares Regression 118,051 190 b ,417 197,331 Total 23,610 79,279 Residual 56,584 ,000 195 a Dependent Variable: FAC1_2 b Predictors: (Constant), FAC5_1, FAC4_1, FAC3_1, FAC2_1, FAC1_1 Coefficients Model a Unstandardized Standardize Coefficients t Sig Collinearity Statistics d Coefficients B (Constant) Std Error Beta ,046 FAC1_1 ,544 ,046 ,541 FAC2_1 ,459 ,046 ,456 FAC3_1 ,154 ,046 FAC4_1 ,201 FAC5_1 -,002 ,186 Tolerance -,048 VIF ,962 11,76 ,000 1,000 1,000 9,920 ,000 1,000 1,000 ,153 3,330 ,001 1,000 1,000 ,046 ,200 4,351 ,000 1,000 1,000 ,046 ,185 4,025 ,000 1,000 1,000 a Dependent Variable: FAC1_2 Collinearity Diagnostics Model Dimension Eigenvalu Condition e Index a Variance Proportions (Constan FAC1_1 FAC3_ t) FAC2_ FAC4_1 FAC5_ 1 1,000 ,00 ,05 ,49 ,46 ,00 ,00 1,000 1,000 ,00 ,20 ,48 ,33 ,00 ,00 1,000 1,000 ,00 ,75 ,03 ,22 ,00 ,00 1,000 1,000 ,00 ,00 ,00 ,00 1,00 ,00 1,000 1,000 1,00 ,00 ,00 ,00 ,00 ,00 1,000 1,000 1,000 ,00 ,00 ,00 ,00 ,00 1,00 a Dependent Variable: FAC1_2 ... bi nhân t h thang o dùng n s th mãn công vi ol c s th mãn cơng vi nhân viên v n phịng CH NG 2: C S LÝ THUY VÀ MÔ HÌNH NGHIÊN C 2.1 2.1.1 L Price, 1997, p.470) Wall (1980 L.M anh Hul 2.1.2 nhân. .. X X X X X X X X X X X X X X X X X Côn X X X X 19 NewYork, 1946) Ng 20 21 nhân viên 2.2 2.2.1 22 2.2.2 ong công ty Môt nhân vi 23 2.2.3 S T 24 CH NG 3: PH NG PHÁP NGHIÊN C 3.1.1 Crossman Bassem... 47 47 viên 21 27 vii 65 66 69 73 75 CH 1.1 NG 1: T QUAN , (NVVP)? - Nhân vi 1.2 : : - - 1.3