Các yếu tố ảnh hưởng đến lòng trung thành của nhân viên tại công ty trách nhiệm hữu hạn thiết bị viễn thông ANSV

ĐẠI HỌC QUỐC GIA HÀ NỘI KHOA QUẢN TRỊ VÀ KINH DOANH - VŨ THIỆN NHƯỢNG FACTORS INFLUENCING THE EMPLOYEE’S LOYALTY AT ANSV COMPANY LTD, CÁC YẾU TỐ ẢNH HƯỞNG ĐẾN LỊNG TRUNG THÀNH CỦA NHÂN VIÊN TẠI CƠNG TY TRÁCH NHIỆM HỮU HẠN THIẾT BỊ VIỄN THÔNG ANSV LUẬN VĂN THẠC SĨ QUẢN TRỊ KINH DOANH HÀ NỘI - 2019 ĐẠI HỌC QUỐC GIA HÀ NỘI KHOA QUẢN TRỊ VÀ KINH DOANH - VŨ THIỆN NHƯỢNG FACTORS INFLUENCING THE EMPLOYEE’S LOYALTY AT ANSV COMPANY LTD, CÁC YẾU TỐ ẢNH HƯỞNG ĐẾN LÒNG TRUNG THÀNH CỦA NHÂN VIÊN TẠI CÔNG TY TRÁCH NHIỆM HỮU HẠN THIẾT BỊ VIỄN THÔNG ANSV Chuyên ngành: Quản trị kinh doanh Mã số: 60 34 01 02 LUẬN VĂN THẠC SĨ QUẢN TRỊ KINH DOANH NGƯỜI HƯỚNG DẪN KHOA HỌC: TS TRẦN HUY PHƯƠNG HÀ NỘI - 2019 WARNING Dear Teacher, My name is Vu Thien Nhuong, Master's Degree, Course 15 Specialization in Business Administration - Hanoi National University I pledge the thesis "Factors influencing employee’s loyalty at ANSV Co., Ltd" is my own research work Relevant theoretical bases and citations in the dissertation contain references, sources and sources The data, results in the thesis are directly collected, statistics and processed by me Hanoi, July 3rd, 2019 Student Vu Thien Nhuong i THANK YOU First of all, I would like to express my deep gratitude to Dr Tran Huy Phuong, who wholeheartedly guided and assisted me during the process of implementing this graduation thesis I sincerely thank Teachers and Teachers of Hanoi National University for conveying valuable knowledge to me during my time at the school I would also like to thank all of you and your colleagues who have been working at ANSV Co., Ltd, who helped me answer the survey questionnaire as a data source for analyze and produce research results of this graduate thesis I would like to express my gratitude to the Family and Friends for helping me and encouraging me, to help me complete this thesis In the process of implementation, despite the utmost efforts to complete the thesis, exchange and absorb the comments of teachers and friends, consult many documents but also inevitable errors We hope to receive valuable information from your teachers and readers I wish you all teachers and students a lot of health and happiness! Sincerely thank Hanoi, July 3rd, 2019 Student Vu Thien Nhuong ii TABLE OF CONTENT LIST OF TABLE i LIST OF FIGURE iii LIST OF DIAGRAM iv PREAMBLE CHAPTER 1: THEORETICAL BASIS OF THE LOYALTY OF STAFF AND RESEARCH MODEL 1.1 The concept of loyalty 1.1.1 What is loyalty? .7 1.1.2 Some thesis about loyalty 1.2 Expression of loyalty, measurement of loyalty [12] 1.3 The role and benefits of loyalty to the organization [9] 1.4 Factors affecting loyalty 10 1.4.1 Salary and benefits .10 1.4.2 Work environment [6] 13 1.4.3 Colleague [5] .13 1.4.4 Leadership style [13] 13 1.4.5 Interest in work 14 1.4.6 Recruitment of personnel .14 1.4.7 Support of the organization 14 1.4.8 Authorize .14 1.4.9 Corporate culture 15 1.4.10 Training and developing [11] 15 1.5 Theories aimed at understanding the factors affecting employee loyalty 15 1.5.1 Maslow's hierarchy of needs 15 1.5.2 Two-factor theory by F Herzberg .17 1.5.3 Expected theory of Victor H.vroom 17 iii 1.5.4 Theory of fairness 18 1.6 Some previous research on employee loyalty 19 1.7 Research model .26 Summary of chapter 27 CHAPTER 2: CURRENT STATUS OF EMPLOYEE’S LOYALTY AT ANSV 28 2.1 General overview of ANSV Co., Ltd 28 2.1.1 The process of formation and development of the Company 28 2.1.2 Organizational structure of the Company 30 2.1.3 Some main business results of the Company 30 2.2 Research design 32 2.2.1 Research method 32 2.2.2 Research process 33 2.3 Current status of loyalty analysis at ANSV Co., Ltd .38 2.3.1 Create loyalty for employees through Rewards and recognition 38 2.3.2 Creating loyalty for employees through Income 38 2.3.3 Creating loyalty for employees through the Work Environment 39 2.3.4 Creating loyalty for employees through Colleagues Relationship .39 2.3.5 Creating loyalty for employees through Training and promotion opportunities 39 2.3.6 Create loyalty for employees through Relationship with superiors .40 2.4 Research process 40 2.5 Design quantitative research 41 2.5.1 Methods of information collection and sample size .41 2.5.2 Methods of data analysis 41 2.6 Design qualitative research 45 2.7 Description of the scale 46 2.8 Overall assessment of employee loyalty status at ANSV 49 2.8.1 Result 49 2.8.2 Limited and causes 49 2.9 Linear regression analysis 50 2.9.1 Regression model for component variables .50 iv 2.9.2 Regression model with the participation of qualitative variables .58 Summary chapter 61 CHAPTER 3: SUGGESTING SOLUTIONS TO MAINTAIN AND IMPROVE THE LOYALTY OF STAFF AT THE ANSV COMPANY .62 3.1 Research sample information 62 3.2 Evaluate the reliability of the scale 67 3.2.1 Cronbach’s Apha inspection for component scales 67 3.2.2 Factor analysis (EFA) 72 3.4 Testing the differences according to personal characteristics to employee loyalty .78 3.4.1 Gender differences 79 3.4.2 Age difference .79 3.4.3 Differences in education level 80 3.4.4 Differences in seniority .81 3.5 Conclude 82 3.6 Proposal 83 3.6.1 For Compensation factors 83 3.6.2 For Leadership factor 85 3.6.3 For work nature elements 88 3.7 Contribution of the topic 89 3.8 Limitations of the topic and the next research direction .89 Summary of chapter 90 CONCLUSION 91 LIST OF REFERENCES .92 APPENDIX v LIST OF TABLE Table 1Motivating and maintaining elements of F.Herzberg 17 Table Extracting business results from 2016 to 2018 31 Table Scale of working environment components 35 Table Component scale Training and promotion 36 Table Scale of Leadership component 36 Table Scale of Colleagues components 37 Table Scale of components Nature of work 38 Table Employee Loyalty Scale 38 Table Scale content 49 Table 10 Structure of survey sample by gender 62 Table 11 Structure of survey sample by educational level .63 Table 12 Structure of survey samples by age 64 Table 13 Structure of survey samples according to working seniority .65 Table 14 Structure of survey sample by job position 66 Table 15 Structure of survey samples by average income per month 67 Table 16 Cronbach’s Alpha coefficient of the Salary scale 68 Table 17 Cronbach Alpha coefficient of the working environment scale 69 Table 18 Cronbach alpha coefficient of scale Working environment after Env4 type 69 Table 19 Cronbach alpha coefficient of scale Working environment after Env3 type 69 Table 20 Cronbach’s Alpha coefficient of Training and promotion scale 70 Table 21 Cronbach Alpha coefficient of Leadership scale .70 Table 22 Cronbach’s Alpha coefficient of Colleague scale 71 Table 23 Cronbach's coefficient Alpha of the scale of work nature 71 Table 24 Cronbach Alpha coefficient of Loyalty scale 72 Table 25 EFA results measure employee satisfaction 74 Table 26 EFA results scale of employee satisfaction after removing Pro5 observed variable 75 Table 27 Results of EFA scale of employee satisfaction level after removing i observed variable Pro4, Pay1 76 Table 28 Results of EFA scale of employee satisfaction level after removing observed variable Cow5, Pay2, Sup5, Sup6, Pro6, Wor2 76 Table 29 Testing by KMO and Bartlett's method .77 Table 30 Results EFA loyalty scale 78 Table 31 Testing by KMO and Bartlett's method .78 Table 32 Regression results using the Enter method 51 Table 33 Evaluation of conformity of the model 52 Table 34 Model conformity test table .52 Table 35 Spearman test .55 Table 36 Durbin Watson statistics 56 Table 37 Regression model with the participation of qualitative variables 78 Table 38 Testing the level of loyalty between men and women Independent Samples Test .79 Table 39 Table of verification of loyalty level by age Test of Homogeneity of Variances 80 Table 40 Table of verification of loyalty level by cultural level 81 Table 41 Table of verification of loyalty level by working seniority .81 ii LIST OF FIGURE Figure 1Calibration model in research of Turkyilmaz, Akman, Coskunozkan and Pastuszak (2011) .20 Figure 2Calibration model in Mehta's study, Singh, Bhakar & Sinha (2010) 22 Figure Calibration model in the study of Ahmad Ismail Al-Ma’ani (2016) 22 Figure Correction model in Ajami's study (1998) 23 Figure Calibration model in research by Kumar & Skekhar (2012) 23 Figure Calibration model in the study of Athar Waqas et al (2017) 24 Figure Calibration model in Ketbi's research (2006) .24 Figure Calibration model in the study of Nguyen Thi Thu Hang and Nguyen Khanh Trang (2016) 25 Figure Calibration model in research by Nguyen Thi Thu Hang and Nguyen Khanh Trang (2016), Tran Kim Dung (2005) 26 Figure 10 Research Model 26 Figure 11 Research process .32 Figure 12 Scale of remuneration components 35 Figure 13 Structure of survey sample by educational level 63 Figure 14 Structure of survey samples by age 64 Figure 15 Structure of survey samples according to working seniority 65 Figure 16 Structure of survey sample by job position 66 Figure 17 Structure of survey sample by average income / month 67 Figure 18 Scatter chart between residuals and predicted values .53 Figure 19 Frequency chart of standardized residuals 55 Figure 20 Q-Q Plot frequency chart of standardized residuals 55 Figure 21 P-P Plot frequency chart of standardized residuals 56 iii 1.259 5.473 68.336 1.259 5.473 68.336 2.338 10.165 66.570 1.211 5.266 73.602 1.211 5.266 73.602 1.617 7.032 73.602 781 3.395 76.997 645 2.806 79.803 562 2.444 82.247 10 552 2.399 84.647 11 465 2.022 86.669 12 436 1.896 88.565 13 394 1.713 90.278 14 359 1.560 91.838 15 327 1.421 93.259 16 297 1.290 94.549 17 272 1.182 95.731 18 234 1.017 96.747 19 183 795 97.542 20 182 793 98.335 21 162 705 99.040 22 128 557 99.597 23 093 403 100.000 Extraction Method: Principal Component Analysis Rotated Component Matrix a Component Sup2 786 756 Sup1 745 Sup4 715 Sup6 638 391 Sup5 619 436 Cow4 391 344 911 Cow2 Cow1 313 Sup3 Cow3 886 326 784 771 Pro1 857 Pro2 793 Pro6 649 390 Pro3 639 308 Pay4 819 Pay3 798 Pay5 761 Pay2 386 574 376 Wor1 822 Wor3 790 Wor2 384 670 Env2 873 Env1 862 Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser Normalization Rotation converged in iterations e Results after removing variables Pay2 KMO and Bartlett's Test 832 Kaiser-Meyer-Olkin Measure of Sampling Adequacy 3363.621 Approx Chi-Square Bartlett's Test of df 231 Sig .000 Sphericity Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Rotation Sums of Squared Loadings Total % of Cumulative Variance % Total Loadings % of Cumulative Variance % Total % of Cumulative Variance % 8.190 37.225 37.225 8.190 37.225 37.225 3.690 16.775 16.775 2.421 11.004 48.229 2.421 11.004 48.229 3.568 16.216 32.991 1.732 7.871 56.100 1.732 7.871 56.100 2.796 12.709 45.700 1.570 7.138 63.239 1.570 7.138 63.239 2.453 11.152 56.852 1.253 5.698 68.936 1.253 5.698 68.936 2.257 10.261 67.113 1.206 5.480 74.417 1.206 5.480 74.417 1.607 7.303 74.417 767 3.487 77.903 640 2.909 80.813 561 2.551 83.364 10 484 2.201 85.565 11 436 1.982 87.548 12 413 1.876 89.424 13 382 1.735 91.159 14 332 1.509 92.668 15 316 1.436 94.104 16 296 1.348 95.451 17 234 1.064 96.516 18 198 899 97.414 19 183 830 98.244 20 165 748 98.992 21 128 583 99.575 22 094 425 100.000 Extraction Method: Principal Component Analysis Rotated Component Matrix a Component Sup2 783 Sup3 756 Sup1 733 Sup4 726 Sup6 641 391 Sup5 616 432 402 908 Cow2 889 319 Cow4 338 780 775 Pro1 864 Pro2 795 Pro6 661 Pro3 642 389 Pay4 831 Pay3 801 Pay5 764 Wor1 Wor3 Wor2 379 Env2 Env1 Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser Normalization 317 Cow3 Cow1 Rotation converged in iterations f Results after removing variables Sup5 KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy .820 Approx Chi-Square 3143.008 Bartlett's TestofSphericity Df 210 Sig .000 Total Variance Explained Component Initia Eigenvalues Extraction Sums of Squared l Total Rotation Sums of Squared Loadings % of Cumulative Variance % Total Loadings % of Cumulative Variance % Total % of Cumulative Variance % 7.684 36.592 36.592 7.684 36.592 36.592 3.432 16.342 16.342 2.379 11.330 47.921 2.379 11.330 47.921 3.318 15.802 32.144 1.732 8.246 56.167 1.732 8.246 56.167 2.732 13.012 45.156 1.565 7.454 63.621 1.565 7.454 63.621 2.444 11.638 56.793 1.248 5.941 69.562 1.248 5.941 69.562 2.231 10.626 67.419 1.151 5.482 75.044 1.151 5.482 75.044 1.601 7.625 75.044 741 3.527 78.571 623 2.969 81.540 561 2.673 84.212 10 468 2.228 86.440 11 413 1.968 88.409 12 392 1.868 90.277 13 378 1.801 92.078 14 331 1.577 93.655 15 299 1.425 95.080 16 244 1.160 96.240 17 201 955 97.195 18 198 941 98.136 19 165 788 98.924 20 131 626 99.550 21 095 450 100.000 Extraction Method: Principal Component Analysis Rotated Component Matrix a Component Cow3 Cow2 908 895 Cow1 786 311 Cow4 Sup2 Sup3 775 809 780 Sup1 Sup4 Sup6 748 699 619 373 403 345 Pro1 Pro2 865 798 Pro3 671 Pro6 Pay4 Pay3 635 Pay5 Wor1 Wor3 Wor2 Env2 392 835 803 762 824 817 379 679 Env1 877.863 Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser Normalization Rotation converged in iterations g Results after removing variables Sup6 KMO and Bartlett's Test Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Rotation Sums of Squared Loadings Total % of Cumulative Variance % Total Loadings % of Cumulative Variance % Total % of Cumulative Variance % 7.176 35.880 35.880 7.176 35.880 35.880 3.330 16.649 16.649 2.376 11.878 47.759 2.376 11.878 47.759 2.906 14.532 31.181 1.714 8.572 56.331 1.714 8.572 56.331 2.728 13.641 44.822 1.559 7.794 64.126 1.559 7.794 64.126 2.359 11.793 56.615 1.240 6.199 70.324 1.240 6.199 70.324 2.225 11.124 67.739 1.082 5.412 75.737 1.082 5.412 75.737 1.600 7.998 75.737 729 3.644 79.381 623 3.115 82.496 560 2.799 85.295 10 419 2.097 87.392 11 400 2.000 89.392 12 384 1.918 91.310 13 353 1.766 93.076 14 300 1.498 94.574 15 253 1.263 95.837 16 218 1.092 96.929 17 198 991 97.919 18 181 904 98.823 19 134 669 99.493 20 101 507 100.000 Extraction Method: Principal Component Analysis Rotated Component Matrix a Component Cow3 911 Cow2 898 Cow1 791 Cow4 780 Sup2 838 Sup3 782 Sup1 750 Sup4 688 368 Pro1 866 Pro2 798 Pro3 687 Pro6 637 Pay4 Pay3 Pay5 Wor1 Wor3 Wor2 385 Env2 Env1 Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser Normalization Rotation converged in iterations h Results after removing variables Pro6 KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy Approx Chi-Square Bartlett's Test of 2762.887 df 171 Sig .000 Sphericity Total Variance Explained 803 Component Initial Eigenvalues Extraction Sums of Squared Rotation Sums of Squared Loadings Total % of Cumulative Variance % Total Loadings % of Cumulative Variance % Total % of Cumulative Variance % 6.856 36.085 36.085 6.856 36.085 36.085 3.309 17.416 17.416 2.306 12.136 48.221 2.306 12.136 48.221 2.919 15.363 32.779 1.674 8.808 57.029 1.674 8.808 57.029 2.332 12.272 45.051 1.557 8.195 65.224 1.557 8.195 65.224 2.265 11.919 56.970 1.170 6.158 71.382 1.170 6.158 71.382 2.202 11.588 68.559 1.046 5.506 76.888 1.046 5.506 76.888 1.583 8.330 76.888 722 3.801 80.689 618 3.252 83.941 458 2.408 86.349 10 419 2.205 88.554 11 398 2.096 90.650 12 356 1.876 92.526 13 304 1.602 94.128 14 272 1.434 95.562 15 220 1.158 96.720 16 203 1.069 97.789 17 183 966 98.755 18 135 711 99.466 19 102 534 100.000 Extraction Method: Principal Component Analysis Rotated Component Matrix a Component Cow3 909 Cow2 901 Cow1 792 Cow4 783 Sup2 846 Sup3 794 Sup1 759 Sup4 682 348 Pro1 872 Pro2 834 Pro3 695 Pay4 852 Pay3 805 Pay5 776 Wor3 828 Wor1 827 Wor2 383 678 Env2 875 Env1 870 Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser Normalization Rotation converged in 6iterations i Results after removing variables Wor2 KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy .780 Approx Chi-Square 2494.317 Bartlett's TestofSphericity df 153 Sig .000 Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Rotation Sums of Squared Loadings Total % of Cumulative Variance % Total Loadings % of Cumulative Variance % Total % of Cumulative Variance % 6.293 34.963 34.963 6.293 34.963 34.963 3.222 17.902 17.902 2.297 12.760 47.723 2.297 12.760 47.723 2.898 16.102 34.005 1.673 9.297 57.020 1.673 9.297 57.020 2.323 12.905 46.910 1.541 8.559 65.579 1.541 8.559 65.579 2.236 12.420 59.330 1.061 5.894 71.473 1.061 5.894 71.473 1.649 9.160 68.490 1.045 5.804 77.277 1.045 5.804 77.277 1.582 8.787 77.277 720 3.998 81.275 582 3.234 84.509 453 2.516 87.025 10 399 2.215 89.239 11 393 2.184 91.423 12 339 1.885 93.309 13 287 1.595 94.904 14 272 1.514 96.418 15 219 1.218 97.636 16 184 1.021 98.656 17 140 775 99.432 18 102 568 100.000 Rotated Component Matrix a Component Cow3 911 Cow2 903 Cow1 801 Cow4 789 Sup2 854 Sup3 802 Sup1 762 Sup4 673 351 Pro1 877 Pro2 838 Pro3 693 Pay4 854 Pay3 808 Pay5 778 Wor1 838 Wor3 821 Env2 876 Env1 871 Extraction Method: Principal Component Analysis Rotation Method: Varimax with Kaiser Normalization Rotation converged in iterations Employee loyalty scale KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy .706 Approx Chi-Square 215.473 Bartlett's TestofSphericity Df Sig 000 Total Variance Explained Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % 2.132 71.074 71.074 471 15.706 86.780 397 13.220 100.000 Extraction Method: Principal Component Analysis Component Matrix a Component Loy3 860 Loy1 842 Loy2 828 Extraction Method: Principal Component Analysis componentsextracted Total 2.132 % of Variance 71.074 Cumulative % 71.074 APPENDIX RESULTS OF ANALYZING ANALYSIS Regression model for component variables a The regression result uses the Enter method Model Summary Model R R Square 755 a Adjusted R Std Error of the Square Estimate 570 558 58289 a Predictors: (Constant), Env, Cow, Pay, Sup, Wor, Pro a ANOVA Model Sum of Squares Regression Mean Square F 103.402 17.234 78.146 230 340 181.548 236 Residual Total Df Sig 50.722 000b a Dependent Variable:Loy b Predictors: (Constant), Env, Cow, Pay, Sup, Wor,Pro Coefficients Model Unstandardized Coefficients B (Constant) -.206 Cow 093 Sup 300 Pro 074 Pay 228 Wor 421 Env -.045 a Dependent Variable: Loy a Standardized Coefficients Beta Std Error 281 058 069 066 067 057 041 t Sig Collinearity Statistics Tolerance 080 249 066 181 400 -.048 -.732 1.616 4.337 1.121 3.387 7.420 -1.098 465 107 000 264 001 000 273 769 570 542 654 645 961 VIF 1.301 1.755 1.846 1.529 1.551 1.041 Regression model with the participation of qualitative variables Regression model has the participation of all qualitative variables: gender, age, working age and education level b Model Summary Model R 771a R Square 595 Adjusted R Std Error of the Square Estimate 575 57200 a Predictors: (Constant), Sen, Cow, Age2, Env, Edu, Sex, Pay,Sup, Wor, Pro, Age3 b Dependent Variable:Loy a ANOVA Model Sum of Squares Regression Residual Total df Mean Square 107.933 11 9.812 73.615 225 327 181.548 236 F Sig .000b 29.990 a Dependent Variable:Loy b Predictors: (Constant), Sen, Cow, Age2, Env, Edu, Sex, Pay, Sup, Wor, Pro,Age3 Coefficients Model Unstandardized Coefficients a Standardized t Sig Collinearity Statistics Coefficients B Std Error (Constant) 184 354 Cow 108 059 Sup 283 Pro Beta Tolerance VIF 520 604 092 1.836 068 712 1.405 069 235 4.092 000 547 1.827 067 066 060 1.027 305 526 1.901 Pay 167 069 132 2.427 016 606 1.650 Wor 421 059 400 7.107 000 570 1.755 Env -.049 042 -.052 -1.178 240 916 1.091 Sex -.130 088 -.070 -1.479 140 805 1.243 Age2 -.001 138 -.001 -.008 993 366 2.729 Age3 -.238 181 -.103 -1.316 049 295 3.385 Edu 067 084 037 799 425 828 1.208 Sen 055 096 031 574 047 606 1.650 a Dependent Variable: Loy APPENDIX Independent –samples test T-test, ANOVA analysis and Kruskal - Wallis Independent –samples test of T-test gender variation Independent Samples Test Levene’s Test for Equality of Variances F Sig Equal variances assumed Loy 014 907 t-test for Equality of Means T df 3.194 Sig (2tailed) 235 Mean Difference 002 37749 Std Error Difference 11820 95% Confidence Interval of the Difference Lower Upper 14463 Equal variances not assumed 61036 60856 3.226 163.492 002 37749 11702 14643 ANOVA analysis of educational attainment Test of Homogeneity of Variances Loy Levene Statistic df1 700 df2 Sig 232 593 ANOVA Loy Sum of Squares Between Groups df Mean Square 6.932 1.733 Within Groups 174.616 232 753 Total 181.548 236 F 2.302 Sig .059 ANOVA of variable age analysis Test of Homogeneity of Variances Loy Levene Statistic 1.783 df1 df2 Sig 230 104 ANOVA Loy Sum of Squares Between Groups df Mean Square 29.310 4.885 Within Groups 152.238 230 662 Total 181.548 236 F 7.380 Sig .000 Kruskal analysis - Wallis turns his seniority Test of Homogeneity of Variances Loy Levene Statistic df1 df2 2.514 Sig 232 042 Descriptive Statistics N Mean Std Deviation Minimum Maximum Loy 237 3.4501 87708 1.00 5.00 Per4 237 2.84 1.135 Ranks Per4 N Mean Rank 22 94.09 81 89.17 74 130.57 33 141.97 27 169.00 Loy Total 237 Test Statisticsa,b Loy Chi-Square Df Asymp Sig a Kruskal WallisTest Grouping Variable: Per4 38.971 000 ... INFLUENCING THE EMPLOYEE’S LOYALTY AT ANSV COMPANY LTD, CÁC YẾU TỐ ẢNH HƯỞNG ĐẾN LỊNG TRUNG THÀNH CỦA NHÂN VIÊN TẠI CƠNG TY TRÁCH NHIỆM HỮU HẠN THIẾT BỊ VIỄN THÔNG ANSV Chuyên ngành: Quản trị kinh... LOYALTY OF STAFF AND RESEARCH MODEL 1.1 The concept of loyalty 1.1.1 What is loyalty? .7 1.1.2 Some thesis about loyalty 1.2 Expression of loyalty, measurement... loyalty analysis at ANSV Co., Ltd .38 2.3.1 Create loyalty for employees through Rewards and recognition 38 2.3.2 Creating loyalty for employees through Income 38 2.3.3 Creating loyalty