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I. ` A. 80  l xǬ , , , , t |(X xȐ@ (  XǬ t  \ٳt. 0| X 1@ %D UXՌ X, xt pX 1 0`  ij] XՔ xǬX ɔ1t T  . t 0| m xǬX 1 , p l1X  XǬX \U| \ pX 1D t, t| ijXՔ 0t XՌ X . 0tX Xե ̹X D \ \ 1 @ ̈́\ qX䲔  Dt, t xX 4‰D x <\ X X U1 1D UX,  T Ԁ\ <ܴ1D X <X !1 ȥ 0`  䲔  ι@ 0t ijX . 췘, @ ) D ٳX ijX °1 1D XT|ij, D X  \ ƥD  l1t ©X JŔt ijX \ 0 5. 0| ̹ X J 0| <X D EX, 41 D ijX0 t < xt ij| Dt 0| 4D \ x%, 0D \ x%D t|\. m < ©\ ijX $Ĭ| t ijX 1, D pX 1D XՔ t DՔ\ t. t\ xt, xǬ \ <X ij  Q \ lX ɔ1t  . 췘 tij \ <X ij  Q \ l t| ij, ‰XՔ 0X  Dt 买 D\ t. t \ l@ D X 1(t \ l| t tijX °1, 1 t ij 8< ǔ t.  0tX Xե \ l ij \ <X ij| \ lXT|ij, <X ij 4( ٳ Š\ ƥD XΔ, ijX t l ܴ<. 0| l tijX 1t X 1D ɑ¤Дp Ǵ <X ij Š\ ƥD XΔ <\h, ijX 1, D pX 1 \ <X ij XΔ | LDଐ \. lX @ L . , tijX 1t <X ij \ ij XΔ ƥD h<\h, tij Ż $Ĭ t ijX 1D ¬  ǔ| Xଐ \. X, tij \ Q| ij@ ٳQ\ , tX Ĭ| 0h<\h, tij \ <X  ij l ٳ<\ ɰ Ĭ| X, <X  ij1t ijX 1 买 ɔX䲔 D ¬Xଐ \. K, tijX 1 <X ©ij@X Ĭ Ǵ, tijX \֩ƩD i\ $X P  Ĭ p | ଐ \. B. l ) X lD 1X0 t l LX   , Xଐ \. mx 8  ̸ \ 0D t tX 0 P  lٳD, |x xǬ \ l@ hخ X. t| \ tX 1 X <X ij XΔ | LDଐ <X ij \ ©ij@ Ĭ½ ٳX Ĭ| X, t@ @ ij  ٳQ ijX 1t XΔ ƥD ij \  X 8֑ǩ hخ X. t@ @ l \ D X, tX <| <\ $8pȬ| X. t \ $8pȬ | X l  X Ĭ| lX ¬ \ĬD Xଐ \. C. |8X l1 |8@ L t l1 . < ` x  I  8X 0  l, l ) t 0 X.  II  lX Ȕx <X ©ij@ ijX 1 t , Ĭ½ٳ, p \ lD X.  III  lX  ɔ X Ĭ \ lD $D X.  IV  lX ɄD t DՔ\ $8| l1XՔ Ȕ P \ pȑ X  !ijl, $8X l1, ̸)D $X.  V  l$ \ ɄD ‰X $ @ tD X.  VI  l| }X, lX XX  \ĬD , X l)D X. II. t` 0 A. xǬ \ l 0X 1D !XՔ p\ Jacobs et al.(1980)@ LX 8 | X . ,  p(quantitative criteria)\ 0X °ij@ ij \ t. X, ֩T p(utilization criteria)\ ij (, , XǬD \ | =̜XՔ %<\ йt ©1(practicality) \ t. 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X(psychometric properties)| Ȳ ǔ, \  p \ t. ٳ|\ X ȴȹ t Мt tǴ \ 8D 0`  0 L8t. t \ l <\ 4ij, ļij, !ij| Ȳ 䲔 t(ư, 2000; Harris & Schaubroeck, 1988; London & Wholers, 1991; McEvoy & Beatty, 1989). 췘 ^ @ t X  p JŌ p X 1D Xp,  ȵx Xե XǬѴĬ t| t m TX <\ t \ <X ©ij T ɔX. t 0| tij \ <X ©ij \ lX DՔ1t P . t \ ij| l\ 0Ŕ @ t \ x QD x䲔 D L  . McEvoy(1990)@ Xij \ X QD l. t X X  x(overall approval), !1 X (perceived developmental value),  \ x(administrative approval) @ x QD д D L  . 췘 t \ tǘ ɰ @  <\ \֩ <t \ 8Xx D L  . Antonioni(1994) X uDž1t <X ij ƥD \䲔 D LDȰ, <ܴ1 X l1 ij ij \ <X ij ƥD 䲔 lij (Smither et al., 1995).  X % \ ij(Barclay & Harland, 1995) \ °1(Facteau, 1996)t ij XΔ ƥ% tij LDX. , ij \ U1  ij ‰<\  0 (morale effects) \ <X ij ©ij@  <\ Ь. t t | \ <X 1@ ijX T| lt X. <X 1 \ tX | l@ t| t 1D `  䲔 D . Hegarty(1974) XXt, P (@ x\ X  4 \ <ܴ1D @ t 2( 0 1  D L  . 췘 <ܴ1D  J@ @ 1  JX. 0| tǔ X 1X T| |0\䲔 D ǝ\ t. Hazucha et al.(1993)@ tt X  ( xD pȬX. l, 0ȹ 4Ĭ ɉij| X, D \ 0 (skill development) x%D XՔ 1D tǔ <\ Ь. t@ t t \ ijT@ ٳ, 1X T \ l t踴LȔp, Facteau(1998)@ < ij| XΈ ֩ƈ XՌ t @ 0| X 0 (skill)D XՔp T %XՌ t| Xt, ij \ ij ٳT| |0`  X . tǔ <ܴ1 \ ©ij mŔ <ܴ1 0x ٳT| ͘\䲔 Ilgen et al.(1979)X t@ij |XՔp, tǔ < 1> И . 0| ij \ ©ij <X ٳQ ƥD X, tǔ pɨ1D XՔ xt \ tX iij <X ©ijX ɔ1D L  .  <  SEQ \* ARABIC1> <ܴ1t <ܴ1 9xŌ XΔ (̸: Ilgen, Fisher, & Taylor(1979), p. 352) C. tijX 1 l tij \ ©ij ƥD XΔ ų\ tijX 1D ǔp, p, °1, <ܴ1, uDž1t t t\. X  t l<\ 0X0  < ijX ι@ 1  4X | XՌ  0 t ij] Xՠ. Smither et al.(1995) <ܴ1 \ QD XՔ ɔ\ xD L t $X . , <ܴ1 ƜX 1(characteristics of feedback source)t <ܴ1 \ Q ƥD `  . | 䴴 <ܴ1 ƜD °(credibility)`̹Xt, <ܴ1 \ ©ij D t. t@ @ i <ܴ1 ƜX 81(expertise) °1(trustworthiness)X ɔ1t T p. X, <ܴ1 9xX 1(characteristics of feedback recipient), | 䴴 1͕l, x<$ l, , X X t ɔ\ Քxt  . K, <ܴ1X X(information value of feedback) Q| !XՔ `D `  . Ilgen et al.(1979)@, <ܴ1t xŌ 1 \ (incremental) | XՔ X| x`  D  . Ilgen et al.(1979)@ <ܴ1  \8X D PTXt <ܴ1 \ ©ij xX <ܴ1 \ Q1 ɔ\ ƌ| X. Ō ȴ <ܴ1t X 4‰D ƈ `] <ܴ1 0| ٳX$ l(desire) T t, mŔ <ܴ1 \ QD tnj 䲔 t. t 0| Facteau(1996) ij \  Q ٳQD lX Ĭ½ D ٳQ<\ , XX i <x t <ܴ1 \ ©ij 0| ٳQX ij | t| . T O'Reilly & Anderson(1980)@ <ܴ1X U1 \ ij <ܴ1 1@X Ĭ p`D \䲔 D ǝX(Facteau, 1998 xǩ)  London et al.(1990)@ XX <ܴ1D @ X QD pȬXƔp, <ܴ1D @  321X  89% <ܴ1 pX X ٳD T¤0 \ ٳĬD ½Xp ½` XǬ LD L  . , YX t l(Hegarty, 1974) P (@ x\ X  X 4 \ <ܴ1D @ t 2( 0 1 ̹, <ܴ1D  J@ @ 1  JŔ D . 0| tǔ X X ٳT| |0\䲔 D ǝ\ t. t@ @ @ Hazucha et al.(1993)X lij  ǔp, l, 0ȹ 4Ĭ ɉij| X, D \ 0 (skill development) x%D XՔ 1D tǔ <\ Ь. t 0| \ ij ٳQ ƥD \䲔 D L  , ijX ijx ©ij ٳQ<\X Ĭ½ ٳ ƥD   䲔 1D t  . t@ @ l pX 4‰ ǴX 8| tհX, X D ¤0 t \| $XՔ @ tX iij 买 ɔX䲔 D L  . tǔ l1X XǬD \1T¤  <X !1   Ȕ\ D P tX i T ɔX. E. tijX 1 <X ©ij@X Ĭ \ p  : tX   ij $ X՘X D t DȲ|  X D . | 䴴 p@ xǬ| ɰX ijl\ Xଐ X, ٳ X h<\ X$ \. ( D t ǔ x(between individuals) DP D P| X, ( D \ <\ xǴ(within-individuals)X DP DՔX(Cleveland et al., 1989). 0|, X @ X | \ \ٳ ƥD Xp, X  U1 ƥD \. Cleveland et al.(1989) 1980D0 1986DL 11X ( Y  |8D X, xǬX \֩ \ x ¸| ̹Ŕp, tǔ xǬ \֩ 20X \ٳD . t 20X \ٳD 7 ij\ X xǬ  \ٳ Ő ijX ƥD ଈǔ 243X p¬YՐ\ X XՌ XƔp, xDŽ, 20X ٳ@ x(between individuals) DP, xǴ(within-individuals) DP, ij (System Maintenance), 8T(Documentation)X 4 x<\ X. x DP  1 X (t| lļXՔp D P D йXp, xǴ DP xX  \ | E, t| \֩XՔp D P ٳ\ l1ň. 8 , ij ɔ pɴ xǬij| ‰XՔp xǬ| \֩XՔ D p, ȹɹ<\ 8T֔ xǬD 8T, TXՔp D P D й\.  x DP@ xǴ DP t mթD t, x DPŔ , , x% 9@ Ȱ, x1X x, t, 1DX Ux t ǔp, tǔ X DP| t  \ \ pX| \䲔  xǬX (administrative purpose) t, tǔ (control), 9@ xǬȩt| \  . !1(developmental purpose) t xǴ DPŔ xļ (DՔUx, 1<ܴ1 , X0Xΰ, xļ  Et tՈ. t@ t lļ @ ǘ <X ٳ ij ƥD `  .  0| X T| ` ij ijij ƥD `  .  xǬ @ <X  Ĭij ƥD `  ǔp, <\ ‰ L ҈ 1t @ ŐX Ĭ ET  (Fedor & Bettenhausen, 1989). Dipboye & dePontbriand(1981) xǬ  1D pXՔ t @ ̹qij@ ©ij| tǔ D Ȱ. Giles & Mossholder(1990) X i, X X Ĭ1t <X Q Š\ ƥD XΔ | ɈՔp, X Ĭ1@ ij̹q (ǔ D L  . ȵ<\ t0 \ @  | 䲔 t Ŕp Prince & Lawler(1986) \ ptX 0ٳH \ `@ X Q  ƥD \䲔 D . t t, Giles & Mossholder(1990)X lij |x | t. tǔ xǬ@ t Ĭ ] ij \ X ̹qij D䲔 D . t @ t pt T| X JŔt ijX ֩ t °X JD t. 0| t @ \ ̰ \֩ ij `] ij \ ̹qij D䲔 t. t@ @ l  J xȐ \֩ ij X䲔 !t <X x ij|  t`  . 췘 tX i X @ t. Ő ij \֩а 䲔, Ť | \֩а tt 0 L8t. t \ l <@ t <\ | L !1<\ \֩ L T ̹q\䲔 D (Boswell & Boudreau, 2000; Antonioni, 1996; Harris et al., 1995; Ash, 1994; McEvoy, 1990; McEvoy & Buller,1987; Cederblom & Lounsbury, 1980). | 䴴, XX i x XՔ xǬ !1<\ \֩p <\ \֩ t ̹qX̹, <x ǔ ij| <\ \֩XՔ t D8Xx QD (Ash, 1994).  London & Wohlers(1991)X l QX 34% XX X <\ \֩t |LD t| Q t@Ɣ \ Fedor & Bettenhausen(1989)@ l ٳ̸ X t <ܴ1D \ x x T 8Xx <\ Ь. tǔ 0X D <\ X J YPD 㴔 YD <\ 0 L8t| `  . tǔ <X xǬ \ Qt ijX \֩Ƅ| Xt ι@ ƥD 䲔 D . 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X t, X t  p X ij| X, tX X \֩ij ƥD XΌ \ pX 1 \ @ <X ij1 ɔ\ `D XՌ . tǔ Dipboye & dePontbriand(1981) Nathan et al.(1991) | | >D  } . <\ 2> $8X l1 ( 8m $88 ų  p3 I. 1-3 Dipboye & dePontbriand(1981)X 18m l  28m °17 II. 1-7 Facteau(1996), Westerman & Rosse(1997) Judge & Ferris(1993) <ܴ17 III. 1-7 Tharenou(1995) X uDž11 II. 8 l p  tX   2 IV. 1-2 l  !1 2 IV. 3-4  ij \ ©ij8 V. 1-8 Nathan et al.(1991), Dipboye & dePontbriand(1981), Greller(1978)ȍ  Ĭ½ ٳ5 V. 9-13 Facteau(1996) xlĬ8 VI. 1-8Ĭ43 C. ̸) l  $8| Windows SPSS/PC+ Version 10.0D X. \X 1D LD 0͵Ĭ ̸| 0 t Hij(frequency analysis)D X, !mթX °1 1D X0 t °ij (reliability analysis) x (factor analysis)D X. L<\ lX $D X0 X Ĭ (correlation analysis), $ D t  (multiple regression analysis) Ĭ5 (hierarchical regression analysis)D X. <\ 3> ̸ )  Ĭ 0Ĭ (Ӥ0 Ĭ  xlĬ Hij (frequency analysis)SPSSWIN 10.0 !ijlX °ij Cronbach's  Ĭ !ijlX ij varimax ) X\ xDŽ(factor analysis) X Ĭ Pearson Ĭ $  $ 1Ɍ (multiple regression analysis) $ 2Œ (simple regression analysis) $ 3, 4Ĭ5  (hierarchical regression analysis) V. lX  t A. l lX $D X0 t \pȬ| X. mX 8 80 D t ֬ t| XՔ 0X ¸| 1X, 2001D 5  0X xǬ tT|tǘ T| t $8 0| XǰX. $8 Q@ t| XՔ 0 \͌ 1 t t| \ <\ X.  247X $8| 7֬ 0XƔp, t  173  70.04%X Q`D , t  $8mթ QX J@ 3X $8| xX  170X Qt Ĭ̬. lD 8<\ t L . \X 1ļ@ 80%\ Uij<\ ιX QX xlĬY 1 lHij()D((%)1ļ Ő136 3480 20Ĭ1701009208 t - 258 ̹ 258 t - 308 ̹ 308 t - 358 ̹ 358 t - 408 ̹ 408 t - 458 ̹ 458 t - 508 ̹ 508 t 9 49 34 39 29 8 25.3 28.8 20.0 22.9 17.1 4.7 1.2Ĭ170100P!x 8x x Yx22 9 118 2112.9 5.3 69.4 12.4Ĭ170100D1D t - 2D ̹ 2D t - 3D ̹ 3D t - 5D ̹ 5D t - 10D ̹ 10D t - 15D ̹ 15D t - 20D ̹ 20D t 35 16 16 32 36 13 2220.6 9.4 9.4 18.8 21.2 7.6 12.9Ĭ170100 (̥ t54 51 42 15 831.8 30 24.7 8.8 4.7Ĭ170100Ʌ|  Ȱ 0 l54 51 42 15 831.8 30.0 24.7 8.8 4.7Ĭ170100 0 L8  |1D !XՔ Cronbach's Alpha| X °ij| X. lX   X uDž1@ \ mթ<\ !\ °ij  x.  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0 xDŽ $8 mթ XxȬɷ(factor loading)x 1x 2x 3x 4x 5x 6x 7<ܴ1p/ ©ijĬ½ ٳ °1!1III-1 III-2 III-3 III-4 III-5 III-6 III-7.843 .882 .883 .846 .848 .774 .843.849 .886 .873 .863 .823 .823 .812.248 .189 .231 .198 .242 .197 .2129.539E-02 .106 .158 .118 .185 .163 .1464.906E-02 .139 .128 .196 .227 .128 .255.113 5.306E-02 4.083E-02 8.357E-02 .102 .115 6.216E-02.193 .162 .156 4.496E-02 9.002E-02 -3.121E-02 .220-9.337E-04 -3.989E-02 -1.219E-02 1.547E-02 -8.267E-02 3.030E-02 3.011E-02I-1 I-2 I-3.634 .712 .655.207 .266 .301.731 .778 .662.173 9.583E-02 .1005.016E-02 6.701E-02 .2693.221E-02 3.476E-02 .107.120 -4.155E-02 8.774E-029.666E-02 .140 .155II-1 II-2 II-3 II-4 II-5 II-6 II-7.761 .725 .659 .678 .492 .780 .775.186 .182 .173 .314 .254 .200 6.721E-02.726 .623 .673 .703 .325 .323 .192.177 .171 .178 .191 -9.212E-02 9.481E-02 .1487.878E-02 .100 .127 .169 .174 8.563E-02 4.343E-02.390 .486 .226 .128 .316 .786 .8285.413E-02 .166 .218 5.479E-02 .427 3.715E-02 9.154E-028.445E-02 2.606E-02 -.174 3.312E-02 -3.329E-02 1.003E-02 .127V-1 V-2 V-3 V-4 V-5 V-6 V-7 V-8.709 .768 .725 .719 .701 .680 .324 .625.157 5.009E-02 .175 .164 7.201E-02 .325 -.205 .341.132 .162 .159 4.835E-02 .154 .282 -.226 .255.723 .734 .797 .706 .770 .563 2.930E-02 .544.182 .287 .168 .228 .234 .209 -.459 .2515.307E-02 .126 .104 6.307E-02 5.023E-02 9.548E-02 .104 2.824E-028.781E-02 -1.323E-02 -6.824E-02 .365 .123 .350 -6.281E-02 .285.317 .318 -5.021E-03 4.387E-02 -8.728E-02 -5.444E-02 -6.927E-02 -5.010E-02V-9 V-10 V-11 V-12 V-13.656 .737 .770 .793 .793.162 .192 .114 .172 .137.115 3.572E-02 .149 5.585E-02 .135.375 .176 .348 .211 .336.654 .806 .776 .812 .7834.934E-02 8.640E-02 9.733E-02 5.590E-02 .106.208 4.589E-02 4.250E-02 .187 .1364.586E-02 -9.258E-02 3.273E-02 -.137 -2.469E-02IV-3 IV-4.784 .772.178 .333.120 .142.286 .274.262 .200.128 1.187E-02.735 .724.175 -2.227E-02IV-1 IV-2.734 .792-2.314E-03 -6.896E-02.244 -9.043E-02.184 3.151E-02-.112 -1.389E-023.580E-02 8.005E-02.107 -2.204E-02.785 .883  (eigenvalues)6.1624.4614.3914.0292.0381.9911.799$D( (% of variances)18.12413.12112.91511.8515.9965.8555.290 $D( (cumulative %)18.12431.24544.16056.01262.00767.86273.153 <\ 7> \ͅ xDŽ $8 mթ XxȬɷ(factor loading)x 1x 2x 3x 4x 5x 6x 7<ܴ1©ijĬ½ ٳp °1!1III-1 III-2 III-3 III-4 III-5 III-6 III-7.850 .888 .886 .845 .849 .773 .843.865 .903 .893 .869 .843 .828 .8279.403E-02 .103 .165 .116 .193 .179 .1473.778E-02 .129 .113 .195 .220 .116 .249.174 .116 .140 .174 .162 .164 .170.146 7.198E-02 6.610E-02 7.851E-02 .117 .112 6.912E-02.199 .164 .155 3.682E-02 8.054E-02 -4.369E-02 .2064.197E-03 -2.714E-02 2.600E-03 1.538E-02 -7.069E-02 2.288E-02 5.488-03V-1 V-2 V-3 V-4 V-5 V-6 V-8.723 .770 .718 .707 .689 .723 .653.169 4.523E-02 .183 .167 9.383E-02 .327 .343.725 .738 .792 .681 .763 .585 .571.193 .294 .188 .251 .264 .175 .2107.884E-02 .165 9.477E-02 2.132E-02 6.733E-02 .245 .2235.275E-02 .125 .104 7.178E-02 6.345E-02 .178 .1099.580E-02 6.360E-03 -4.343E-02 .380 .130 .376 .308.337 .305 1.421E-02 5.654E-02 -4.904E-02 -.101 -9.523E-02V-9 V-10 V-11 V-12 V-13.639 .753 .788 .816 .811.186 .205 .128 .195 .162.382 .147 .326 .170 .312.636 .822 .793 .833 .8066.407E-02 4.288E-02 .162 3.532E-02 .1106.631E-02 4.998E-02 8.419 3.838E-02 8.941E-02.206 5.167E-02 5.111E-02 .200 .1324.841E-02 -8.147E-02 3.594E-02 -.112 -4.332E-03I-1 I-2 I-3.753 .793 .741.222 .289 .316.189 .108 .1053.968E-02 6.398E-02 .253.791 .813 .706.142 .142 .203.133 -1.952E-02 .1205.243E-02 .108 .110II-2 II-6 II-7.665 .807 .810.243 .213 7.595E-02.187 .109 .128.114 9.217E-02 6.834E-02.452 .213 8.930E-02.573 .834 .866.148 1.739E-02 8.958E-025.845E-02 -6.670E-03 .132IV-3 IV-4.817 .814.193 .339.227 .234.295 .2058.922E-02 .130.141 5.151E-02.760 .762.189 -3.680E-02IV-1 IV-2.752 .7822.091E-02 -7.335E-02.187 2.900E-02-.111 -2.238E-02.184 1.660E-026.992E-02 6.124E-02.109 -2.271E-02.808 .878  (eigenvalues)6.1824.2263.8492.4802.0601.8911.769$D( (% of variances)21.31614.57213.2738.5517.1046.5216.100 $D( (cumulative %)21.31635.88849.16157.71264.81671.33777.437 0xDŽ И ǔp, ȴ<\ 7X x<\ 6, $%@ 73.153%\ XX. p °1X |ǀmթ p @ x ňǔ D  . 0| l PX U1D X0 t mթD x0. <, x 2 p t JŔ $ 8m(II-1, 3, 4, 5)D x¤, X 0.4tXx \ 8m(V-7)D xX. t 0| ȴ 8m  / 8mD xX xDŽD \ $%@ 77.437% tǔ <\ 7> И . l  t \ QX x ̹D 0 L8 |\ X\ $X(single-source bias) ` 1t . p, \ͅ xDŽ | t, x 1 x 4, x 5  ų l , x2@ 3 @ ȍ l .  x 6 x 7 pX P x Pt Uֈ l ǔ D L  . 0| <\ Ȕ X Pt l <\ l 0(self-report) ) 0x |\ X\ $X p 8  JŔ <\ t`  . C. $ 1. Ĭ  $ ^ l  X Ĭ| X. Ĭ D t $  ɔX ĬX ij| L  ,  \ x 1D  . Ĭ  | t <\ 8> . <, ų ij \ ©ij P X\ Ĭ| t , ©ij@ Ĭ½ٳ \ @ X Ĭ LD L  . , ų Ĭ½ٳX Ĭij P X\ Ĭ| X 1D . p,  X uDž1@ $\ $ \ ©ij@ Ĭ½ٳ X Ĭ| t . X uDž1t xlĬ@  Ĭ| t, 9 买 @ Ĭ| t ǔp, tǔ uDž1t  JŔ iX 9t @ Qt ιt tՈ \ uDž1t  <\ 9t @ X Qt tՈLD L  . 9t @ @ ̹| ij <\, tX i  X| . p Dūt ǬD x ij  XՔ tij Ƭ|X 8TȵX 4 l0 L8(Hl, 1995) X \ m<\ xX ©ij D  <Ǭ| . t@ t, X uDž1 ©ij@X Ĭ, 9 X uDž1X Ĭ| $X L X $ 9 t @ D| X | X. <\ 8> X Ĭ   p °1<ܴ1 uDž1 ©ijĬ ½1ļ9Y% D  p °1 .539**<ܴ1 .530** .395** uDž1a .262** .075 .360**  .179* .153* .397** .252**©ij .443** .409** .472** .216** .344**Ĭ ½ .343** .300** .431** .153* .415** .625**1ļ .088 -.081 .171*..424** .001 .017 -.0039 -.130 .023-.308**-.682** -.082 -.089 -.026-.482**Y% .154* .154* .210** .024 .018 .121 -.045 -.120-.119 D-.223** -.103-.348**-.633** -.117 -.110 -.062-.276** .889**-.326** ,-.007 .066-.189*-.525** -.100 -.043 -.030-.369** .810** .006 .680**‰ D .057 .176* .168* -.116 -.003 .088 .116-.141 .151*-.011 .122 .135 * p < 0.05, ** p < 0.01 a. uDž1: 1-uDž1 x, 2-uDž1 2. ijX 1t <X ij ©ij XΔ \ - $ 1 ijX 1t <X ij \ ©ij ƥD ` t| $ 1D X0 t ɌD ‰X.  xlĬY   ĬD t l h Ȕ Ĭ @ D XƔp,  xlĬX t @ Ɣ t \ ̹ 8ɔ  xX. t 0| \ \ ” P!, D, t. Ɍ ‰հ L <\ 9>@ . <\ 9> ijX 1 ©ij \  ij \ ©ij\T Ĭ t XU`(constant)  P! D ų p °1 <ܴ1 uDž1 .067 .212 -.067 .175 .205 .293 .1461.422 .887 1.856 -.698 2.024 2.593 3.569 1.622.157 .376 .065 .486 .045 .010 .000 .107 R2 .319 Adjusted R2 .289 F (Sig.) 10.833 (.000) | t, <X ij \ ©ij| $XՔp Ǵ p, °1, <ܴ1@ $%t XXՌ И . p@ <ܴ1 \ 1X  °1ij `] ij \ ©ij \ XՔ t($ 1-1, 1-2, 1-3 D). ©ij \ ų X $%@ <ܴ1t .293D, °1t .205|, p .175| д Ǵ, X\ | x 8 X ų  <ܴ1t <\ T p ƥ%D tǔ D L  . X uDž1D t <X ©ij@X Ĭ X\ <\ Ь, Uֈ X\ Ĭ DȲ̹ pX 90%  ] X\ ƥD XΔ <\  . X̹ tǔ ^ Ĭ@ ȹ,\ ½\ $ )X | . t@ @ |, Ĭ X uDž1 @ D ɔ xlĬ(9)X ƥ<\ XŔp,  t| Xij )<\ pX X\ D t0 L8 t X m t` DՔ . Antonioni(1994)| Do\ l XXt X ǥ uDž1D XՔ T x ij| t̹, <x Ŕ X tDŽD  XՔ D T 8XՔ <\ Ь. 0| t@ @ t` 0 p\t X uDž1 <X ©ijX Ĭ (-)X D 8| XՔp, l }XՌȹ (+)X D t . t \ t | tt ©ij| !` L Qt X ǥ <X ǥt <֬  Q\ <\ t  . l \t  Q@ ٳ̸ X 9@ P X ix i <t0 L8 ٳ X `ij ‰X . 0| X uDž1 ©ij@X Ĭ ©ij \ ǥt <֬  (+)X D L t`  . 3. <X ij ©ij Ĭ½ ٳ XΔ \ -$ 2 lX P $@ ij \ ©ij Ĭ½ ٳ x ƥD ` t| t. t| X0 t ŒD ‰XƔp P  P @ Ĭ| tǔ xlĬ <\ $\  t D ‰X.  ‰հ <\ 10> . | t <X ©ij Ĭ½ٳ XΔ ƥ@ 1% X\ <\ Ь. 0| < ij t @ ©ij| |] t 0x Ĭ½ ٳijij XՔ D L  . 0| $ 2 D. <\ 10> ij \ ©ij@ Ĭ½ ٳ \  Ĭ½ ٳ\T Ĭ²t XU` (constant) ©ij .6253.759 10.369.000 .000 R2 .390 Adjusted R2 .387 F (Sig.) 107.517 (.000)  4. <X ©ijX ` - $ 3 ^ P $ pX <X ij \ ©ij ų(p, °1, <ܴ1)@ ȍ(Ĭ½ٳ)  `D XՔ LD0 t Ĭ5 D ‰X. Baron & Kenny(1986) XXt, `D 8 ĬX D t  . < Ĭ ų  X\ ƥD XΔ| X, P Ĭ ų ȍ X\ ƥD XΔ| Xp, ȹɹ 8 Ĭ ų@  ٳ ȍ X\ ƥD XΔ| t| \. t L ȍ \ ųX ƥ%t 3Ĭ 2Ĭ T | | и `  @ . l $ 1D XՔ  X 1Ĭ tD qXՔ  \t | X0 L8 X uDž1D xX, 8 8 X ų \ | X0\ \. 0| <\ 11>X x 1 2 X 2Ĭ@ 3Ĭ t\. Ĭ5 | t, ijX 1 Ĭ½ٳX Ĭ \ <X ©ijX `@ ^ \ ptD P ̹q¤t p@ °1X Ɣ D `D, <ܴ1X Ɣ `D XՔ <\ Ь. , p@ °1@ ij \ ©ijX | t̹ Ĭ½ ٳ ƥD XΔ <\ $`  . t t, <ܴ1@ ©ijX | t Ĭ½ٳ<\ x ƥĬ| L ٳ x ƥĬ| ǔ <\ `  . <\ 11> ij \ ©ijX   ųȍ: Ĭ½ ٳpx1x2\T t (sig.)\T t (sig.) (Constant) p ©ij .343 6.676 (.000) 4.726 (.000)  .082 .5882.5333 (.012) 1.225 (.222) 8.770 (.000)Adj. R2 F (Sig.).117 22.332 (.000).388 54.669 (.000) °1x1x2\Tֲt (sig.)\Tֲt (sig.) (Constant) °1 ©ij .300 6.282 (.000) 4.079 (.000)  .053 .6032.524 (.013) .807 (.421) 9.120 (.000)Adj. R2 F (Sig.).085 16.638 (.000).385 53.973(.000)<ܴ1x1x2\Tֲt (sig.)\Tֲt (sig.) (Constant) <ܴ1 ©ij .431 12.210 (.000) 6.191 (.000)  .175 .5423.278 (.001) 2.603 (.010) 8.065 (.000)Adj. R2 F (Sig.).181 38.333 (.000).407 58.993 (.000) 5. tX  X pȨ ȹɹ<\ $ 4 t  !1 T ι@ DD P `] ijX 1 ij \ ©ij X Ĭ| T` t| t. t \ D t Ĭ5 D ‰X. ij ^@ ȹ,\ xlĬY   Ĭ D t l h Ȕ t`  Ĭ @ 8 X D X. <\ 12> @ . | t, t \ !1<\X @ p, °1, <ܴ1 ©ij@X Ĭ p | t JŔ <\ Ь. t \ t | tt, !1 \ ij ©ij X ųX `D X0 L8t| $`  . <\ 11>X x 1  !1X Ĭ t x ų lЌ (tǘ JŔ  ©ij X\ ƥD XΔ D L  . 0|  !1@ p, °1, <ܴ1 8֑ǩX ©ij ƥD XΔ t DȲ| t  @  ų\X `D XՔ <\ `  . t X uDž1@ ©ij@X Ĭ Ǵ, ^ Ĭij ½ $ )X X\ Ĭ| Ɣp pȨij X\ | ɔ <\ Ь. tǔ X uDž1 !1X t 8֑ǩXՔ <\ `  ǔp, t t lx )1D LDଐ P X (median)| <\ |Ƅ(one-way ANOVA)D ‰X 8֑ǩƨ| X.  T(dummy)̬ X uDž1 !1 X | <\ X P <\  ,  \ <X ©ijX X| X t| \ д. tǔ < 3> @ . <\ 12> tX !1 X pȨ  ij \ ©ijx 1x2\T t (sig.)\T t (sig.) constant P! D p(A) °1(B) <ܴ1(C) uDž1(D)  !1 ij(E) .070 .185 -.064 .187 .197 .223 .109 .179.556 (.579) .942 (.347) 1.642 (.103) -.673 (.502) 2.203 (.029) 2.542 (.012) 2.603 (.010) 1.209 (.229) 2.527 (.012) .048 .162 -.063 .167 .072 -.456 .998 .209.223 (.824) .662 (.509) 1.447 (.150) -.651 (.516) .382 (.703) .204 (.838) -1.191 (.235) 2.818 (.005) .589 (.557) A*E B*E C*E D*E-.006 .224 .967 -1.237-.008 (.994) .388 (.699) 1.797 (.074) -2.665 (.009) R2 R2(Sig.).345 .382 .037 (.055) F F Sig.10.592 (.000)8.089 (.000) L < 3>D t, ^ Ĭ @ t X uDž1t  iXX <t T @ ©ij| tǔ D L  .  <\ 12> М @ t, uDž1 ŀ Ĭt P P !1<\ t D] ©ij XՔ D L  . t L, X lx L XՔ < , X uDž1 < 3> X uDž1 !1X X 8֑ǩƨ  t  X ©ij 8 T D̹\ <\ И .  !1<\X t @ , <\X t @  uDž1 ŀ ©ijX (t Ő ij ƥD X̹, !1 \ ij @ Ŕ uDž1 ŀ ©ij p ƥD X \ `  . D.  ^ pȨ \ D ‰Xt  !1t ij \ ©ij p `D X0䲔 ųX `D \䲔 D LŌ . 0| D t  !1t Ĭ½ٳ XΔ | t ٳ t \ ©ijX `ij LDଐ \. D t Ĭ5 D ‰XƔp,  <\ 13> . <\ 13>  !1 \ ©ijX   Ĭ½ٳx1x2\Tֲt (sig.)\Tֲt (sig.) (Constant)  !1 ©ij .415 5.473 (.000) 5.918 (.000)  .227 .546.941 (.348) 3.668 (.000) 8.826 (.000)Adj. R2 F (Sig.).172 35.017 (.000).436 64.468 (.000) | t  !1 Ĭ½ٳX Ĭ t <X ij \ ©ij `D XՔ <\ Ь. ,  !1@ ©ij| t Ĭ½ٳ<\X x ƥĬ| L ٳ, x ƥĬ| ǔ D L  . <\ 14> $ } $ D ŀ$ 1 pX 1 \ t ] tij \ <X ©ij ` t. % °1 \ t `] tij \ <X ©ij ` t. % <ܴ1X 1 \ t `] tij \ <X ©ij ` t. % X uDž1t t tij \ <X ©ij ` t.$ 2 tij \ <X ©ij ] Ĭ½ ٳ ij ` t.%$ 3 ij \ ̹qij ijX 1 Ĭ½ ٳX Ĭ| ` t.%$ 4 tX t pl1X !1 `] pX 1  0x ij \ ©ij ` t. tX t pl1X !1 `] °1  0x ij \ ©ij ` t. tX t pl1X !1 `] <ܴ1X 1  0x ij \ ©ij ` t.  tX t pl1X !1 `] X uDž1 0x ij \ ©ij ` t. % VI. `  |X A. l  XX xǬ xȐX \ٳ 0t  | h<\h, t \ pl1X Q@ 买 X, pl1X ij 0| ijX 1t   . 0| ι@ p@ °1 1 @ 0,  pl1X ©ij| ¬  ǔ ij| XՌ . \0X ȵx ), DŘ\0X @  | TX X U1 1D UX, pX XǬD \1TX 1D Xଐ XՔ ij\ t \ ij . l tij \ <X ©ij ijX 1t XΔ ƥD t 0x Q\ Ĭ½ٳ t x D ‰X. lX D }Xt L . <, pl1X 1 xX 4‰D \ \$tǘ Ĭ½ @ ٳ $ , t t ijX 1 ij \ ij Š\ ƥD XΔ X. l<\ ijX 1 0| <X ©ij 1 XΔ ƥD LD, t@ @ <X ©ij  pɉٳx Ĭ½ XΔ | X. 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Abstract The Effectiveness of Multi-source Appraisal System Sang-Hee Lee Department of Business Administration The Graduate School of Ewha Womans University In many korean companies, the introduction of multi-source appraisal is increasing rapidly to improve performance appraisal's objectivity and organizational effectiveness by activating interpersonal communication in organization. But precedent studies for multi-source appraisal are so scarce that more studies regarding this are required. This study aims to examine how multi-source appraisal affects effectiveness of appraisal system in terms of appraisee's attitudinal and behavioral reactions. Specifically, first, this study intend to show design of the effective multi-source appraisal system by examining how the characteristics of multi-source appraisal system affects appraisee's acceptance on appraisal system. Second, this study suggest to emphasize the importance of appraisee's positive attitude on multi-source appraisal system by verifying an significant impact of appraisee's attitude on behavioral response. Third, this study will investigate moderating effect of purpose type between characteristics of multi-source appraisal and appraisee's acceptance. This study is shown in the following diagram.  To verify this model, first, preceding studies were compared to prepare a theoretical basis of this study, and after being created accompanying hypothesis and model, demonstrative analysis were performed with 170 appraisees in the companies which are implementing the multi-source appraisal system. The results are summarized as follows; First, the characteristics of multi-source appraisal affect appraisee's acceptance on multi-source appraisal system in overall. Evaluation criteria, appraiser credibility, and feedback have positive influences on appraisee's acceptance. And appraiser anonymity has no significant influence on it. Second, as was expected, appraisee's acceptance impacts on appraisee's behavioral response, action planning. Third, mediating effect of appraisee's acceptance show some significance in the relation between characteristics of multi-source appraisal and action planning. Fourth, purpose type of multi-source appraisal has no moderating effect between the characteristics of multi-source appraisal and appraisee's acceptance. The significance of this study lies in the following; First, in the situation which precedent studies for multi-source appraisal system are not enough, this study prove the factors which affects appraisee's attitude, that is, acceptance on multi-source appraisal system. Second, this study found that appraisee's attitudinal variable on appraisal system affects one's behavioral response. 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