MICELI [6] 1 [7] 2 ; 1.1 [10] HENEMAN [11] [7] GREEN [12] [8] HUBER [13] GREEN [14] [9] ; 1322

7 9 20109 ChineseJournalofManagement Vol.7No.9 Sep.2010 ( ) :14 506 SPSS13.0 U : ; ;U ; :C93;F046 :A :1672 884X(2010)09 1321 08 TheImpactofPerformance basedpayintensityonpaysatisfaction:anempiricalstudy ZU Wei LONG Lirong ZHAO Haixia HE Wei (HuazhongUniversityofScienceandTechnologyWuhanChina) Abstract:Inthisstudyatotalof506samplesincludingpaysatisfactionquestionnairesandob jectivesalarydataarecolectedfrom14chineseorganizations.curveregressionandhierarchicalmul tipleregressionsareusedtoconfirmtheresearchhypothesis.theresultsindicatethatthereisanin vertedu shapedrelationshipbetweenperformance basedpayintensityandpaysatisfactionandem ployees positionlevelmoderatestherelationshipbetweenperformance basedpayintensityandpay satisfaction.thepaperfinalydiscussestheapplicationoftheresearchtoorganizationalcompensation managementpracticesanddirectionoffutureresearchinthisfield. Keywords:performancepayintensity;paysatisfaction;invertedU shapedrelationship;position levels ; 30 [1] [2] [3] [4] [5] :2010 04 07 : (70871047) 1321

7 920109 MICELI [6] 1 [7] 2 ; 1.1 [10] HENEMAN [11] [7] GREEN [12] [8] HUBER [13] GREEN [14] [9] ; 1322

: 1 U ; ( 1.2 1) [15] KUHN [9] 1 2 [18] ; MERRIMAN [16] ( ) U [17] [19] : 1323

7 920109 10 [20] 14 (4 5 5 ) 570 : 2 57%; 30 34.2%31~40 47.9%41~50 14.9%51 2 3%; 29.1% 42.8% 28.1%; 78.8% 21.2%; 2 2 506 89% 16% 58.7% 25.3% 2.2 2.1 1 HENEMAN SCHWEB1985 18 18 4 α=0.92 18 : ( ( 1) 4 ) ( EMBA ) [21] 4 2 (0.67) (0.49) (0.64) (0.57) 0.28 0.21 0.27 0.24 1 2 χ p df RMSEA NFI NNFI CFI ( 518.29 0.00 129 0.08 0.90 0.91 0.93 ) 541.89 0.00 131 0.08 0.90 0.91 0.93 ; 2 1324

2 T (F = 3 (F = 116.85p < 2 ( 0.001) ) 4 (F = 3.736p < 0.05); (t = -1.04 p > 0.05) (t= -9.42 p <0.001;t= -6.47p <0.001) 2 2.3 3 0.11p>0.05) 3 LISREL8.30 0.59 0.19 1.99 1.28 2.82 0.57 2 0.37 0.20 2.00 1.61 2.98 0.55 0.30 0.14 2.06 1.16 2.89 0.49 SPSS13.0 0.41 0.22 1.65 0.98 2.82 0.54 :1 ;2 0.43 0.21 3.35 1.78 3.19 0.42 3 ;3 3 1 2 3 4 5 6 7 8 1. 2. -0.15 3. 0.10-0.15 4. -0.17 0.04-0.13 5. -0.16 0.39 0.32-0.08 6. -0.14 0.15 0.27-0.23 0.50 7. 0.06-0.08 0.12-0.24 0.16 0.29 0.92 8. -0.03 0.27-0.14 0.05 0.31 0.05-0.07 0.43 1.87 2.01 2.09 2.02 0.21 2.90 0.41 0.50 0.77 0.80 0.64 1.38 0.41 0.54 0.22 :N =506; p <0.05 p <0.01; : 0 1 ; : 1 30 2 31~40 3 41~50 4 51~60; : 1 2 3 ; : 1 2 3 ; ; : 0 1 3 ( β = 0.29p < 0.41 2.90 0.01) ( β =0.12p <0.05; β =0.16 3.1 p <0.01) ( β = -0.24p <0.01) SPSS13.0 1325

7 920109 4 4 ( β =0.233p<0.001) (p <0.01) Y =2.72+ 1.29X -1.62X 2 3 0.154p < 0.001) 2 3.5% ( β = -0.421p <0.05) 1 U U 1 4 4 4(R 2 =0.207p< 0.001) 4 3 2.9% ( β =0.197 p <0.001) R 2 F df1 df2 Sig. b1 b2 U 0.023 5.476 2 503 0.004 2.72 1.29-1.62 5 1 2 3 4 0.026 0.032 0.041 0.012-0.192-0.183-0.167-0.110-0.019-0.038-0.057-0.055-0.216-0.210-0.163-0.182 0.227 0.258 0.127 0.016 PPI -0.082 0.344 0.280 PPI 2-0.421-0.331 PL 0.233 0.254 3 PPI 2 PL 0.197 R 2 0.106 0.121 0.156 0.185 3.2 F 10.728 9.442 10.361 11.318 ΔR 2 0.015 0.035 0.029 : p <0.05 p <0.01 p <0.001;PPI [22] PL 2 1 4 6 ( 1) 6 (VIF)1.102~2.220 10 R 2 F Sig. b1 b2 0.05 9.06 0.00 2.87 0.40-0.98 0.21 13.19 0.00 2.63 2.04-1.39 10.6%(p <0.001) 1 ( 5) 6 2 (p <0.001) (0.73) 2 (0.20) ( 2) (R 2 = 2 0.121p < 0.001) 1 1.5% 4 ( β = -0.082p > 0.05) 4 3 ( 3) (R 2 = 1326

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