NDSL 91 Link page [] ư Ŭϼ.

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ê˪vzeYOvzƪΪ۰媸ΪǪ롣ǪeYꬪު˪ƪҪ_SΦ50Ҵ˪謹êתƪOԉOتΤ𹪬UƪԴݤ檿eYOǪǪ몬2006ҴVܪҪʪƪ롣ϰ߾_Ȫêcƪ롣硸O檫ηŪҡ衸OO([Ȫȡ顸O0OͪҪ[_ܡ꡸OުΪ骷[O(ӫͭO)[O롸O졸OѢ0OѢO̿(ի0ɫЫë)[_ܡ O̿η(xǡN)تĪΪ۪Ox󡹡O˪0ԉ٥ҡʪƪϪʪު[RΪeYO۰Ū몿ΤȪƫƫΫ0[OS𤡢O

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IMF ķ Ҵ𤰡 ߤǰ ִ. η⿡ ʤ ȿ ڷḦ ϴ ϰ , ߿ϴ Ҵ ʤ ᱹ Ҵ̽ ϰ ִ. ׷Ƿ ؼ ϰ Ǿ ϸ, η пϸ, ӹ ؼ õǾ Ѵ. Ǿ ϸ, ϸ, ݵ ý ü迡 罵Ǿ Ѧ ۡ ִ. , ʤ۰δ , , , ˭, , ʤŸ, BARS, MBO , ҿ ´ 򰡹 ʿϸ, ŻϿ, ɷ ִ ۡ ִ ϹǷ, Ѱ ô븦 ó ִ ۡ ̴. 򰡸 ǽ ׽ ̱ ǽϿ ϸ, Ѧ带 Ȯϰ, ʤ̿ ݵ ǵ Ͽ ڷ Ͽ ִ ȸ οϴ ͵ ſ ߿ ȴ. ϼ ǽϰ ִ ǽϰ ִ λ ¿ мϿ. м . ù°, 1998 Ŀ ټ Ͽ, ɷ¿ ͧء ܰ 繫 ַ üٷ 20%̸ ڿ ϸ, κ ǽϰ ־. °, MBO ǽϴ ü 74% ټ MBO ǽϰ ִ Ǿ, ϴ 74% Ǿ, 򰡹 ÿ ϴ Ÿ. °, MBO ⿡ ʤ ʤ ʤ ǽϰ ־, ͪ ַ λ(å) ǽϸ, 򰡽 60% ̻ ǽϴ Ǿ. 57 ϸ, ڿ 50% Ͽ, ð 36ð ǽϴ Ÿ. °, ǽϴ 45% , 򰡰 Ҵ 55% Ÿ, ǵ . Ʒ Ȱ 32% Ͽ. ټ°, , ʬ Ұ, ݰ . ̫  򰡰 κ Ȱϸ, η⳪ ֣ η ̷ ʰ ִ Ǿ. ̿ ǽϰ ִ MBO κ Ȱϰ , ۯ ӵǰ ִٰ , Ӹ ƴ϶ ڿ 鿡 , ϸ, 򰡰 ۰п ʿϸ, ȿ ¿ ִٴ ϴ ̴.

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縲ȸ ȸ λ̵ Ͽ ȸڿ ŵ ν ϰ ̰ ΰ Ͽ. ׷ ǰ ִ ȸ λ ̵ ¸ ˾ƺ, λ ̵ ֵ ϱ Ǿ. ȸ Ͽ, ŵ Ͽ Ͽ.
 Ʒ ϴ Ѵ.
 縲ȸ ȸ λ ̵ ȸڿ ŵ ν Ѱ?
 Ʒ .
 1. ٶ λ ̵ Ⱓ ȸڿ ŵ ν Ѱ?
 2.ȸ λ ̵ 濡 ȸڿ ŵ ν Ѱ?
 3. ذ ȸڿ ŵ ν Ѱ?
 4.ȣ λ ̵ ȸ 忡 ȸڿ ŵ ν Ѱ?
 5.λ ȸڿ ŵ ν Ѱ?
 .
 1.ٶ λ̵ Ⱓ Ͽ ȸڴ 5, ŵ 4 ȸڰ ŵ ⸦ ȣϴ Ÿ.
 2.λ ̵ 濡 Ͽ ȸڴ ڳ , ȸ , ŵ ū ̶ ߴ.
 3. ذ Ͽ ȸڰ ŵ ذϿ, ȸڿ ŵ ü ذ ٰ ϰ ִ.
 4.ȸ 忡 Ͽ ȸڿ ŵ ȸ Ⱓð ܱ ȸ Ⱓú Ⱑ Ҵٰ , ŵ ȸں Ⱓ ´ٰ ϰ ִ.
 5.λ Ͽ ȸڿ ŵ פ, ΰ迡 λ ū ̶ Ͽ.
 6.ȸڰ ȣϴ ȸ ,ҵ̰, Ը ȸ, μ ϼ ȸ Ÿ, ŵ ȣϴ ȸ 40̰, Ӽ ȼ Ÿ.

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ó ̸ Юټ â η߾ ۡ Ͽ ̵ ̽ Ͽ ٹ Ρ η ߵǰ ִ. п ި 꼺 ( Productivity) ߾ ִ Ŀ ־ 꼺 ߾ Ѧ, , ڪİ Ѧݷ(motivation) ༰ Ͽ ޵ ִ ̴. ׷ ó ߧ ߾ ڪ ༿ ϱ⿡ ռ ؾ ʿ䰡 ִٰ . , ڪȴ ̰ п̸ ε Ͽ ȴ ̰ п̸ ڪ ĿϿ ޷ִ. Ү ͵ǰ ִ ̷ ȸ ̿ϹǷμ ϴϴ ӹ Τ ִ ̴. ί죾 η  ڪ ͪ ƴ϶ ʤϴ ʤ κ ˿DZ Ƿ 򢰡 ̶ ƴ϶ ߴ. ̿Ͱ Τ ־ ׸ ִ Τ κ Ө ߸ Τ Ѵٸ Τ Τ̿ Ͽ ػ Ǿ ꬵ Ѩ Ӹ ƴ϶ Ȱ ϰ Ǿ Τ ϰ Ǵ ̴. ׷ ڪ㸦 ٷ ߴ޵Ǿ ϰ ٷ η ι ϳ ִ ̴. ׷ Ү ȿ Ȱ ؼ  ⸦ ִ ΰ? Ͽ κ ϰ ƴϵǸ ̷ Գ ϱ Ͽ ߵ η ٷ Τ ̴. ̿Ͱ Τ Ѣ࿡ ϰ ٸ ɷ° ۰ ׸ ̿ Ŀ κǿ ʤϴ μ ׵ Ŀ ϵ ϱ Ͽ 㿵Ǵ ̴. ׷ ĿϿ 󼭴 Ŀ ϴ Ͼ ִٴ ÿ ׺ ƴϵǸ Ү ࿡ ΰ ʤ ſ ߿ϸ鼭 μ ̷ ùٸ Τ ء ذ DZ ִ ̴. H信 ޿ ο ʥ ƿ﷯ ̷κ ƵǴ η߾ Ρ ϰ óϰ Ͽ Τ Ǿ *1973 Τ ϰ ƴ϶ ո ؼ Ө ҽ ← Ͽ ִ ִ. ׷ Τ ߾ κ , 𤿡 ̸ Τ κ ʤ, Τ, , ƴ Ҵ ͳ η η Ͽ ǵ Үϰ ִ ̴. ̷ κǿ η⿡ Τ Ͽ ȸ µ Ǵ ̶ ְڰ ̰ ϰ η⸦ Σ (Threat) Τ Τ ̸ мϿ Τ ĵǾ Ѣ ִ° Ͽ ̿ ǵ (Projection) Ͽ ۰ ټϴ Ͽ. 츮 Ϻ 鿡 η Ǿ ִ° ֱ η ϴ ϴ Τ ɵǿ ĵǾ Ƿ η⿡  ƴ° ϱⰡ ٷοԴ. 츮 鿡 ׷쿡 ְ ϰ ִ Hȸ Τ ϰ ǵ Ͽ ۰ ϹǷμ 츮 ۡ Ͽ ߧ ڨ ༵ Τ ϴµ ̳ Ǿ ϴ ϼܸ ξ.

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ó λ򰡴 , , , , ذ Ϸ ڿ õ ǻ ٺ Ǵ Ȱμ, ߿伺 ǰ λ򰡴 翡 Ϲ򰡿 ̷, ̴ ŷڼ Ѱ踦 ̷ Դ. ̷ ߿ ϳ ̸ ٸ ִ. 򰡰 縸 ð 򰡷 Ῡ 򰡰 ϴٴ , ٸ򰡴 ٰ Ͽ Ȯ Ȯϰ, dz ǵ Ͽ ⿩ ִٴ ϰ ִ. 츮 ε ܰ ƴϾ ٸ ո̰ ȿ λ 򰡹̶ ν Ͽ κ Ȱϰ ִ. ׷ ֱ ٸ ȸ ϰ ִ. 츮 ǿ α⿵, , ϴ ûϰ ִ. ٸ ǽÿ ؿ 밡 Ǿ ־߸ μ ұ ȿ ŵ ִ ̴. ׷ ۿ ȮΡϰ, 򰡿 ľ ν Ҹ ϴ ü踦 Ȯ ʿ䰡 䱸ȴ. ־ ٸ ǽð λ ִ ˾ƺ, ڰ ڰ ׷ȭϿ ܰ ν ̰ ִ 캸Ҵ. û û Ҽ 縦 ǽ , ⺻ Ư ľ Ͽ 󵵺м, ŷڵм Ÿ缺 м κм ǽϿ. ־ ȸͺм ǥ t-, м ǽϿ, ܰ ̺м Ǽ =5%(ŷڱ 95%) Ͽ ǹ ߽ мϿ. Ӻ λ Ͽ, ġ ຯ ٸ ν 3 Ͽ ٸ 뼺, ȿ, ٸ  ո ν Ͽ. ׸ ڰ ܰ ڰ ܰ  ٸ ľϱ ܺ Ͽ. , ŷڵ 0.60.7 Ÿ ȮǾ, κм Ÿ缺 ġ 0.5̻ Ÿ, л 70% ̻ ̰ ־ Ÿ缺 ־. ٸ ν λ ġ м , νϴ λ ٸ򰡿 뵵 ν , ٸ  ո ̷ Ÿ ݸ, ٸ ȿ ν λ ֿ ۿ ʴ Ÿ. , ڰ ܰ ڰ ̵ ܿ ٸ νϴ ̰ ִ м , ٸ ȿ νĿ ٸ Ÿ. , ־ ٸ ǽô λ ģٴ ־, ٸ ν λ ſ ߿ ûϰ ִ.

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ذ κ 캸, ̸ мϴ Ѵ. ̸ Ͽ ذϰ ߴ . ù°, ο Ѱ? °, ο ࿡ ν Ѱ? °, νϴ ذ ̴ Ѱ? ذϱ Ͽ ʵб , , 410 縦 ǽϿ, ̸ м . ù°, 繫繫ü ȸ 簡 纸 ټ ̾, κ 20 ̻ 10 ̸ ̿ ǹ ̰ Ÿ, бԸ ̴ . б н лλȰ 򱳻纸 밡 Ҵ. °, ࿡ ν 繫繫ü 簡 纸 ̾, ¿ ν ̴ б濵 Ѱ, н, λ , лλȰ ǹ ̰ ־. бԸ ν Ÿ ʾ ν б ̾ 屳, 򱳻 Ÿ. °, Ͽ غ ־ ̸ 캸 б濵 Ѱ λ 20 ̻ 繫繫ü ū ν ̰ ־. бԸ𺰷δ λ ū ν ̰ Ÿ, б ǹ ̰ ʾ 屳 Ϻ 򱳻 ̰ Ͽ. п Ͽ. ° ̰ ũ 밣, 䱸 ľϰ ɷ ֵ ؾ ϸ, ڽ Ͱ ִ λ ߿ϰ ϱ ո̰ ؾ Ѵٰ Ǵܵȴ. 繫繫ü ȸ ٸ , ϳ б Ѱ ȮǾ ʿ伺 ִٰ ȴ. ࿡ ־ ̸ Ͽ ٽ ٷ ν ̱ Ͽ Ѵ.

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ֱ Ȯ꿡 λ ȭ̿ ༳ ٷڿ λ ȿ Žϱ 繫 λ ʿ ༳ ٷ λ Ȳ ̸ 캸Ҵ. A繫̴. ȭǰ Ȳ ӿ A繫ҵ 2000 ȯϴ λ Ͽ, ༳ ٷ Ư . A繫 λ򰡴 . 򰡽ñ Ƚ 1⿡ 1ȸ ǽϰ λ ϴµ ϰ ִ. 򰡹 򰡿 μ򰡸 ǽϸ ڱ ǽ 1 򰡸 ǽϸ, ڰ 2 򰡸 ǽѴ. 򰡴 A, B, C, D޿ 򰡷 򰡹 ȥյ ߱ ϰ ִ. 쿡 򰡿 Ѵ. ݸ鿡 λ Ʈ(AP: Assistant Partnership)ν 򰡿 򰡸 ޴´. A繫ҿ λ  ýۿ 뵵, 򰡿 Ʒ, ý , ո ׸ ߰ Ư  ߰ߵǾ. A繫 λ Ư¡ . 1) Ư 򰡿 ǽϴ ̻ ӿ Ʈʿ λ򰡿 ޴ Ư ӱݱ ִ. 2) λ ° Ǹ, ׸ Ȯ ̱ ŵϸ, A繫 Ʈ ϴ ߰Ǿ. 4) 򰡹 ڱ ǽ ڱ򰡸 1 򰡷 1 򰡰 ڱ ޴ ·  ǰ , 2 򰡰 ̷ 򰡴 1, 2 򰡸 Ͽ A, B, C, D 򰡸 ǽѴ. Ʈʿ 򰡴 򰡷 濵 ġϰ ׸ ǰ 򰡰 , λ򰡴 ׸ 濵 ϰ ִ. 5) 쿡 ų λ Һ ο ǽϴµ, λ ڷḦ Ͽ ٽ λ Ͽ κ λ Ѵ.

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λ  ־ ڿ ְ
 ҿ ȿ ġ мϰ, 
 ŷڿ ý ؿ ǹ ̰ ִ Ըϴµ
 ִ.
 濵̳, ȯ, پ 
 ȭ , Ǹ 
 ڿ å ⺻ Ǿ Ϲ̰ ̸ 
 ൿ ϰ ȴ. ̷ ߿ å 
 ϴ λμ  , ȿ 
 ϱ Ӿ ϰ ִ. ռ
 ü λְμ ñ ذϱ ڿ
 гε(HCCP) ȰϿ м Ͽ.
 ֿ . ü پϰ
 ϰ ̸ Ȱȭ Ű Կ (+) 
 . ŷڰ 踦 
 ϴ Ÿ, e-HR system  Կ
 (+) ϴ Ÿ.
 ü ϴ λְμ پ 
 Ͽ Ϸ õ Ͽ ϸ, ̷ 
 ġ ʰ Ȱ ϴ° ʿϴ.
 ̷ ְμ Ȱȭ 
 Ͽ ϸ ̴ ý Ȱ 
 Ȱȭ ų ̴.

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߱ å , پ ϸ鼭 ü () ε巯. ̴ ߱ ȸ ɸ Ǿ. Ʒ, ߱ λ簳 80 پ λ簳 ǽϿ, ̴ ߱ , , ź ʰ Ǿ.
 1993, <ӽý> Ͽ, ߱ Ư źϿ. ó ߱ ġ ü Ҿ ǰ ϵǾ. ߱ () õ Ȥ ѰϿ õ ġ å 信 Ȳ Ž Ͽ.

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ٸ򰡴 򰡰 غν ü輺 Ÿ缺 ȭ ִ ̴. , ٸ پ ü Ȯν ȿ ִ. ׷ κ ࿬ ٸ Թ ȿ ν ι ٸ ʿϴٰ ϰų, Ȥ ٸ򰡰 ٰ ȿ ϴ ξ. ٸ򰡸 ش  ϴ, ׸ Ե Ͽ ٸ򰡰 ǹ  ȰǴ ū ʾҴ. 11 ٸ Ȱ Ͽ. , ٸ򰡴 ü輺 ȭϱ ܿ پ λ (ex: , ȭ ) غϱ Ȱǰ ȮϿ. , ι ǹ Ȱ ϰ ٸ Ͽ, Ȱ Ͽ.

[ؿܳ]

Correlation analysis using pearsons correlation coefficient, mean difference analysis and binary logistic regression analysis were used to analyze the effects of employment characteristics of accounting practical education, such as ERP and AT using significance level p

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Ÿϰ 踦 мϰ װ͵ 踦 µ ִ. ̿ 켱 ' Һ ΰ?' ˾ƺ ġ Ȯϰ ' ŸϿ (, , , бԸ)  ̰ ִ°?' ' Ÿϰ 谡 ִ°?'׸ ' ȣϴ Ѱ?' Ͽ, . (1) ߿ м 67 33 Ÿ, ٶ б ؼ κ ̰ ־ Ѵٰ ϴµ Ͽ δ ŭ б ̰ ʴ ϰ ־. 濵ΰ ܿ ׸ ȭڷ , ȭڿ ׸ ڷ ϴ ٶϴٰ ߴ. (2) ŸϿ м ڰ 򱳻 ں ȭ⼺ ⼺ ϰ ִ Ÿ. ׷Ƿ ⸦ ϴ Ǿ. (3) Ÿϰ м м ڰ ⼺ ٴ ȭ⼺ ׸ ° ǻ ϴ ڰ 谡 Ÿ, ȸͺм ڰ ⼺ٴ ȭ⼺ б 濵ؾ ϴµ 庸ٴ ʽŸ ⿡ ġ Ÿ. (4) 簡 ȣϴ 򱳻 򱳻 ȣ Ÿµ ̰ ٸ Ÿ ߿ ڽ 򱳻μ ϴ ߼ ̴ м ִ. ϰ Ѵ. ü Ǵ Ⱑ ֵ б ڴ ȭ⼺ б 濵ؾ ϰ á û б dz信 , ǰ Ͽ ڸ ˸° λ߷ ؾ ̴. °, ⵵ ϰ ִ ߡб Ϻο Ͽ Ϲȭϱ⿡ ϹǷ ִ ʡߡб ϴ ̷ ̴.

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ϰ, ŷڼ 򰡸 ʷ ո η° ϴ λ ̸, ̸ ϱ ġ ϳ ٹ ̴. ٹ 縦 ߽ ̷ , ŷڼ ǹ Ǹ鼭 ̸ ϱ ġ õǾ Ȯ ϰ ִ. ׷ ֱ ŷڼ Ȯ ִ ΰ ٸ Եǰų Ȱǰ ִ. ϰ ϸ ո λ縦 ȸ Ȱ ҷų ִ ٹ ٸ Ͽ м Ͽ ϰ Ѵ. ù°, ٸ򰡰 ٽɿ ߽Ű ° Ȱ ǻ뿡 ⿩Ͽ ñ 꼺 Ųٴ ν ʿϸ, °, ٸ ȿ DZ ؼ ٷ 򰡸 Ͽ ո 򰡰 ֵ Ͽ ϰ, °, 򰡿 ּȭϰ ݿϿ ֵ ո ȮϿ Ѵ. 踦 ֵϰ ̷ ̴ ŵ쳪 ؼ ̰ ո̸ ȿ λý Ǿ ϸ, ý ӿ ں ö Ͽ ϴ ո â 񽺸 ϴ ֵ λŰ ׸ ̷ ̴.

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μȣ\p磬ʦ߲ӫ, Φ߲룬\۰ңΣ\𨡢٥𨡢Ѣ25-88죣ί\߾Φ\S{Σۡܨ𨡢𨡢Ѣ89-141߲ί\˽𨡢Ѣ߾ף̿ϰ߲߲𤡣Ү߾\߲ӹ¡߲ء𨣬ӣ߲罡ޣ߲̽ʫӣ̽Ϣӹ׿ؿʫ󮣬ҡܫ\̸̽\ϣ㣬ί[Ԃ ]Τ롢ʫ١ $ʫίͱ࣬̽٤ֵ١Өު졣̽ΣԴ\ӹͺӡ\Ѣʥί\ڡӡ߲ηӣ߲룬\ݶ⡣󮣬ʦ\ʫίꬡ\⣬\٤ֵϴί̸áί񪡣飬\\ʦί٤ֵѨ㡰ء룬ίΦϣ\Y ߾ȡ\۬̽ίţ̫ѣN&\_ܬμ㡣\ֵ߲Լ񦡱ȣ֯\Ѣػֵ\ֵίαǡ⣬۰ί飬n֯\۰Ь罣۰̲ίꬡ󮣬߾Y \\ֵ飬߲롣Ѣ߲Ѣ߾\̽⣬ޡ\⡣ӣ߲Yη𫡣Ss̽Ө⣬̽\N\ʡ̽ϴ_塣󮣬bڣݻ\п樂 ̰\ѡ󮣬܂ ܫίӽסΦ㣬 ۡΦ\ֵۡܨ ...

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κ Ͽ ̰ ִ. ׷ (teaching)ٴ Ŵ޸ ִ ̴. ̷ Ȳ ӿ Ű 򱳻 ġϰ ִ. ̵ 鿡 , 츦 ް ִ. ̴ Ȱ ִ ΰ ̷ ʰ ֱ ̸, ϽŰ ū ǰ ִ. س´ٰ ؼ Ѵٸ ̴ Ϲ ϵ ٸ ٰ . ݱ λ ƻ ٷ ̷ Ȳ ߱ ̴. ̷ 籹 Ϲ Ǵ ϼ λ繮 ٷ Ե ̾. ϰ, 簡 Ǹ ̴. ̿ 鿡 ؼ å߱ ϸ鼭 ߿ ؼ  åӵ ʰ,  򰡵 ʴ ̴. л ġ ׵鿡 dz İ ٸ μ ɾִ ܱ簡 ֿ켱 ޴ ȸ ̷ Ѵ. , ڷμ, ΰڷμ 濡 ãƾ ϴ ̸, ̷ ϴ ϼ ܱ ް ϴ dz䰡 Ϸ绡 ̷ Ѵ.  л Ǵ ߾ ã, ܰ ø ִ ãƾ ̴. ̷ , ̷ ܱ ڼ ˾ƺҴ. , , , , μ Կ ؼ ̷ ÿ ϰ ִ Ͽ , ܱ ̿ ġ  ȿ Ѱ, ̷ ͵ غϰ ذϱ ؼ  å ʿ Ҵ. ̷ ȿ ִ. ù°, پѴ ο 信 Ȯ ų ö Ǿ ϰڰ, °, ڰ Ͽ Ȱ ǥ , б ΰ ִ. ̷ ڰü Ǿ ִ , ߿ϰ Ϸ绡 ٲپ Ѵ. °, 򱳻μ ֵ ؾ ϸ, ̵ ó쳪 찡 ȸ, ؿ Ǿ Ѵٰ . °, , μ 縦 Ͽ οϰ λ ָ ̸ ݿؾ Ѵ. ټ°, ؼ ü ϰ ־ ؾ Ѵ. °, å ù Ͽ , ɷº λü ؾ ̴. ϰ°, , ȭ ° ̴. ׸ ϸ ϱ ȵ ؾ Ѵ. ̸ ؼ ڽŵ ʿϴ. 񱳻縦 Ȯϴ ǽؾ ϰڴ. ̹ Ǿ ̱ 񱳻̴. ִ ɻ ٿȭ ȸ Ư Ȳ õǾ ϸ, , μ Ͽ , ȸ, ġ ̷ ̴.

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ѷΰ ִ ȯ ް ȭ ΰ ϰ ִ ڿ Ư ڿ ߿伺 , д  縦  Ȯϰ Ű ϴĿ ޷ ִٰ ִ. Ư 濵 ſ ڿ ɷ¹ ʿϰ Ǿ. ڿ ɷ ߽Ű پϰ , ϳ ٹ ߽ Ѵ.Ϲ ٹ̶ ɷ° ġ ׸ ٹ ϴ ̸ λ ְ, ɷ Ű, ٹ ɷ ǻ Ű, Ÿ絵 ش. ٹ ɷ Ͽ λ翡 ݿϴ ٹ Ͽ ü 꼺 ̰ ϴ ֵ ִ. ġȯƷ λ ݿȴ. 츮 δ  21 1׿ ڴ ٹ Ͽ ο ϰ ִ. ٹ , ٹ 뿡 Ѱ ˾ƺ, , , ڱ߿ 󸶳 ġ ϰ Ѵ.  1ȸ ̻ ٹ ڵ Ͽ. ٹ , ڱ  ġ м ν ٹ , ٹ ȿ ̿ Ѵ.

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ϵ ʵб ϰ ִ λ ڷ мϿ λ ¸ λ ϱ Ͽ ʵб ո λ ̷ ϴ Ϳ ξ. ̷ ޼ϱ Ͽ . ù°, ʵ λ 鿡 Ÿ缺 Ѱ? °, ʵ λ ν Ѱ? °, ʵ λ ΰ? ̻ ذϱ Ͽ ϵ , , , , 10 ʵб 屳 򱳻 ǥ . ù°, ʵ λ 鿡 Ÿ缺 ŸѰ ӿ, г б޴ , , ǥâ õ, ٹ , λȸ ¿ ʵ ڰϰ ִ λ Ÿ缺 ̰ бdz信 б ÷ ̷ ̰ ȿ λ ýۿ ߽ϰ Ȯϴ λ ý 䱸Ͽ. °, ʵ λ ν Ѱ λ , г б ӹ, λ , λ , νĿ м Ȯ 鿡 䱸 Ҵ. °, ʵ λ ΰ ʵ λ г г ɷ , ٹ λȸ ġϿ , ü , ǥâ ڴ õ Ͽ λȸ ϴ ٶ 䱸 ߴ. ʵб λ б 忡 ȿ DZ ؼ -нȰ ȭο ʿϴ. б λ 뿡 ־ -нȰ õ ʿϴ.

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ġ ǽÿ Բ б å 濵 ǰ ־ б濵 âǼ , ׸ å Բ 䱸ϰ Ǿ. ̿ б  ϸ б ü ߽ Ǿ å ִ 濵 Ȱȭ  Ͽ Ǿ б å 濵 ǽõǾ. б åӰ濵 ߽ 濵 ϱ б忡 ̾ν б Ư ° åӰ濵ϵ ϰ, õǴ , кθ, ȸ λ Ŵν 濵 ȿ ̱ ̴. б åӰ濵 ϱ ؼ õ ɸ ǽİ ߾ ϴµ Ư б ߿ϴ. б 濵 ٽ , , λ ϰ ϴ б ΰ ִ. ̿ 忬 翬 Ͽ. 忬 б åӰ濵 ٽɿ , , λ ˾ƺ, б 濵 䱸Ǵ б ҷμ б Ұ ϴ б ҿ Ͽ. 翬 б 濵üϿ б Ҽ࿡ ǰ Ͽ. 翬 δ , ߵб 縳 ϰ б ϴ ȭǥ 600 Ͽ ȸ 467(77.8%) ŷڼ 64θ 403θ SAS(Statistical Analysis System) Ͽ óϿ. 󵵺м ϰ , ޺, º, зº ǰ ̸ ˾ƺҴµ, x^(2) ǵ Ͽ. ڷм . б  б ࿡ ־ , , λ ο ̳ ϴ Ÿ. Ư 縳б б 麸 Ÿ, ޺ 򱳻 ӱ ܺ ٰ Ͽ.  鿡 б б Ư ݿ ִ ƯȰ ϴ ̾, л Ӱ ִ پ ð ʾҴ. 鿡 л ذ ɷ¿ ӵ 翡 ϴ , б糪 α׷ Ȱ кθ ȸ ǰ ݿϴ Ÿ, ׿ ؿ ġ . κδ 縳б б 麸 ,. Ÿ. 鿡 б б б 뿡 ϴ , б ִ Ÿ. 鿡 ϴ Ÿµ ϱ ǽ ʰ ־, ȸ α׷ ϴ ̾ϰ Ÿ. κδ¡б 縳б Ÿ. λ 鿡 б Ȱ ̾, бƯ ʿ ɷ ִ ʺ ̷ ʰ ־. ϴ µ Ư ٹ ʾ, ӱ Ӹ 򱳻 ǰ ݿ ʾҴ. κ Ư б 縳ϱ 麸ٵ ٹ ʰ, ǰ ݿ ʾҴ. 縳б бȸ λȸ λ繮 Ͽ ϴ ̾Ͽ. ȿ б 濵 ̷ ؼ б忡 緮ǰ οǾ ϸ, б кθ, , л, ȸ λ б ֵ ϰ ϴ ־ Ѵ. б 鵵 ӿ åǽ б ȭ ȸ Ȱ ɵ̸, Ͽ Ѵ.

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̰ λ Ͽ ұϰ ڿ θ ϴ ϱ ̴. ɷ򰡸 ٹ ̷ ⺻ ϰᰣ ǻ米ȯ Ȱȭ, ɷ° , °, λ ׸ λ ڷ Ȱ ־ Ѵ. ̷ ָ鼭 ŷڼ Ȯϰų ִ ϳ ٸ(360-Degree Appraisal) ΰ ߽ ԵǾ, ġü ȮǴ κ λ ߿ϰ ǰ ִ. 1998⵵ ٸ ǽϿ , å  Ȱϰ ִ ٸ Ⱓ  H ⿬ Ͽ ʸ Ͽ ٸ  Ư ϰ, мϿ ذ ã ϴµ ִ. ̷ Ͽ ʱ ٸ ٸ ħ Ͽ ٸ  ʱ Ͽ ٸ Ͽ ٸ ׸, , ü Ȱ мϰ ׿  Ͽ. ƿ﷯ ٸ򰡿 ʱ 縦 ٸ Ͽ νϰ ִ ϰ ʱ ٸ򰡸 ȿ  ִ Ͽ ϸ . ù°, ǵ Ȱȭ ʿϴ. , ڵ ٸ ð پ ϰ ϴ ɷ ϸ پϰ dz Ͽ 鿡 ڱ ν ϰ ϰ, ϰ ǻ 踦 Ͽ ɷ Ű Ͽ ٸ ǵ ȰȭϿ Ѵ. °, ڿ Ʒ ȭǾ Ѵ. 鿡 򰡸, 򰡿 , 򰡱 򰡴ɷ Ű پ Ʒ Ͽ ̰ ո 򰡰 ̷ ֵ Ͽ Ѵ. °, ٸ ̿ ִ ġ ʿϴ. λ ɷ° õ κ ϰ ǰ ̷ ϰ Ȯ λ ϴ. ٸ򰡿 Ͽ ǥ ǥ(accomplishment) ü ִ õǾ Ѵ. °, ڱ Ȱ ʿϴ. ڱ򰡴 ٸ ڿ ڷ ߿ 򰡷ν ڱⰳ ϰ λ ڷḦ ϴ ߿ ִ. Ư ֵ ̳ Ư پ ڱ ׸ ϴ ȵ Ͽ Ͽ Ѵ. ټ°, ٸ ŷڼ Ȯϱ ġ ʿϴ. ߻ϴ ǵ Ǵ ǵ 򰡰 ŷڼ ۿ . ̸ Ͽ ϴ ʿϸ ƿ﷯ ȭ Ǵ Ȥȭ ȭǴ ϱ ü ġ ų ϴ ڵ ϰ ǽϿ ִ ġ ʿϴ. Ϻ ʱ ǽ ٸ ϰ ̿ ̷п ߾ ִ. ʱ ȿ ٸ ü ؼ Ư ڿ , ȭ Ư, ǽ  Ͽ ٸ ݿ λ ӱ , ߿ λ ġ ü ʸ мϿ ð ʿϴ.

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Ϲ Ư ϰ (Strategic Management Model: SMM̶ ) Ͽ ϰ  ȭϴ Ȱϰ ϴ ִ. 忬, , Ͽ. 忬 ݳ ̷ мϰ Ϲ SMM Ǹ ϱ ̴. SMM 볻 ȯ, , , , ڿ, , , 8 ׸ 91 Ǿ 7 Ÿ缺 Ͽ 8 90 ׸ Ǿ. SMM Ӽ 󸶳 Ȯϰ ݿϰ ִ Ȯϱ Ÿ絵 ŷڵ 2 Ͽ Ͽ. , 翡 SMM ΰ ׸ ġ ũй İ(Cronbach ) Ͽ ŷڼ Ȯϰ ׸ Ͽ. 翡 SMM Ȯϰ κ ߿䵵 Ư ԸϿ. Ȯ PASW 21.0 Ͽ Ž κм ǽϰ Ÿ絵 ȮϿ, ް ִ ΰ 踦 ȮϿ Ÿ絵 Ÿ絵 Ͽ. κ ߿䵵 ߼ ȸͺм, м ǽϿ κ ߿䵵 ԸϿ. Ư α Ư ν̸ ϱ T-, Ͽлм ǽϿ. Ϲ 8 90 ׸ SMM 7 67 ׸ Ǿ . ù°, ׸ Ϲ , ,  ֱ ,  11 ׸ Ǿ. °, ڿ Ȯ , Ϲ Ƴα׿ , Ϲ ü, ڱ ý  14 ׸̴. °, λ Ʒ , ο , , η  ,  13 ׸̴. °, Ϲ Ϲ ̰, ϴ ̴. Ϲ , , , ̿, Ⱓ ̿ Ȱ , Ϲ  9 ׸ Ǿ. ټ°, ְڿ Ϲ , Ϲ ̼, , , ǥ ӹ, ȹ 10 ׸̴. °, Ϲ , ̰ , Ϲ , Ÿ 6 ׸ Ǿ. ϰ°, 볻 ȯ Ϲ , ȣ踦 , μ , Ϲ ѷ ȯ ƶ ǹϴ 4 ׸̴. ߿䵵, α Ư . ù°, Ϲ SMM , , λ ϸ ʿ伺 νϳ ⺻  ϸ ʿ伺 . °, Ϲ SMM ġ Ư , 2 , ϰ , ڰ 1 ־. 볻 ȯ , , ϰ , ڰ Ư ޾ λ翵 ޾Ҵ. 볻 ȯ , ʱ 屳 , ؾϴ ӹ ϴ Ưϰ, ϰ ϰ ִ ޴ ȮεǾ. λ ޾ ޺δ ʱ ΰ ǹں ʿ伺 νϴ ִ Ÿ. ۿ , ڿ, , , յ Ÿ ʿ伺 ߿伺 νϰ ־. Ϲ SMM Ȱ ִ. ù°, ˴ܰ迡 ٸ Ȳ ĺ SMM ׸ ȰϿ  ü ¸ ִ. 볻 ȯ Ͽ ĺ  ȮϿ ȹ ݿؾ Ѵ. °, ȹܰ迡  ϸ鼭, ȹϱ SMM ȰϿ ϰ ܺ 븦 ̲ ִ. °, ܰ ȹ SMM ϴ , , λ ϰ, ڿ ϸ鼭 ذ ִ. °, 򰡴ܰ迡 ֱ ˰ ؿ 簡 ̷ , ȹ ݿǾ ȹ ִ.  ü Ҹ Ͽ  ־ ʿ ٽɿҸ ãƳ, ħ Ͽ Ϲ  ϴµ ⿩ϰ Ͽ ǰ ִ. ù°, ǥȭ  ȰϿ  ϰ Ϲ ȭ ִ Ͽ. °, Ϲ SMM ȰϿ ϴ ӹ, , , ǥ ޼ ä ִ Ϳ ִ ٺ ǻ ְ Ͽ. °, SMM Ȱϴ ڿ ȿ̰ ȿ ̿ϰ ϴ ܱ, ߱, ȹ ϰ ִ. ȹ ȯ ӿ Ϲ ϴ ̴. °, SMM ϰ ̸ Ͽ Ϲ ǰ ִ Ͽ  Ȱ ǻڵ ִ ٰŰ ִ. ⺻ SMM , ڿ, λ, , , , 볻 ȯ Ϲ Ȳ ϰ 켱 Ȱȭ ϴ Ȱ ̴. SMM Ȱ ظ ̰, ϴ Ͽ ȯ µ ⿩ ̴. Ϲ  ʿμ  ô ,  Ȱȭ ȿ ̴.

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ġ ġ Կ ġ ⿡ - Ű Ѱ ΰб 濵п 濵а(濵) ๮ ޶ ޴´. ϴ ϰ, ޼ ڹ ϰ Ѵ. ̷ ֵ ϴ ̴. Ͽ Կ ָ ߿ ȴ. Ͽ Կ ģٴ ࿬ڵ Ͽ ̴. ׷ ġ Ư ʾ ġ Կ ġ Ű Ͽ ϰ Ǿ. ̸ Ͽ , , Կ õ Ͽ ο ī , ŷ ο ܰ Ͽ, ԰ 迡 Ű 캸 ϰ Ͽ. ġ ʿ Ͽ 2009 7 ġ мȸ ġ縦 ǥ ϰ ̿Ͽ ڷḦ Ͽ. 350θ Ͽ 232θ ȸϿ ȿ 193θ ȸα׷ SPSS WIN(Version 12) ̿Ͽ м, κм, м, ȸͺм ǽϿ. ̻ Ͽ ġ ġ ׵ Կ ϰ ־. ߿ ī ū ϰ ִ Ÿ. Ǵ ġ Ư Ͽ Կ ġ ŰϿ ߴٴ Ͱ ġ Ե ̱ ؼ ġ ī ȿϴٴ ߰ߴٴ ġ ġ翡 λ ߿ ־ٴ ̴.

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It is inevitable factor that the enterprise as the going concern hire new-employees with the intention of development Above all, the excellent man power developments is very important and necessary so as to plan the prosperity of enterprise in science Accordingly, this treatise certificates the importance of new- employees education training as s model of Mi-won co, etd and presentes the course of improvement. The important problems are as follows; 1. The system of education needs has not been drawed up by study and training departments independently 2. In the exercise of training aspects, before their joinning a company, the training has not been executed and the training which have made the new-employees mechenical human have been held 3. From the viewpoint of the estabeishrnent of plan, the plan on the level is lake and have not the mindfulness. 4. The enterprise have not the education and training facilities 5. The enterprise have not the mernbers whois wholly responsible for the training 6. The assessments of training has not been carried out normally The course of improvement as follows; 1. The system of education should be maintained systematically 2. Before their joinning a company, the enterprise will upbring the new- employees creative man by means of execution of educational training 3. The establishment of educational plan should be clear 4. The enterprise should ensure the education and training facilities 5. The enterprise should establish the standard to ensure the man who is wholly responsible for the training 6. The assessments of education training should be carried out periodically. As shows in upper phases, If the education of new-employees were carried out rationally, systematically the new-employees would heighten their consciousness of reversion to the enterprise and improve their duty efficency and base the appropriate arrangement and labor power productivity greatest. It will greatly contributes to the prosperity of enterprise and the development of national economics.

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߼ұ Ư ȭ ġ ⿡ ؼ Ͽ.
 ߼ұ Ϲ  ؼ ܼϰ ְ濵 濵ħ Ǵ 濵Ȱ ü ܽð ޵Ǵ ª θ , ǻ ä , Ǵ μ μ ߽ ̷ ֱ ѹ Ǿ ִ 찡 κ̴. ̷ Ư ؼ ߼ұ ϴ λ, ȸ ӱ, ް, , ⺻ ɿ ġ , 濵 Ȱ μ ʴ ְ濵ڿ ӿ ؼ ̷ ִ ̴. λ籸 ܼϰ , ȭ ϱⰡ ϰ ִ. 
 ̷ ߼ұ ȭ Ư мϰ ̷ ġ ϴ ߼ұ Ư ´ λ ϰ ϴµ ū ִ. ̿ .
 ù°, ߼ұ Ư ׵  ġ ִ , Ư ɴپ缺, ü, ߿伺, , ȯ ü ȯ ġ Ȯ ־. Ư ü ٴ ȯ Ͽ ū ġ ִ ־ ̴ ߼ұ ϴ Ϻκ ƴ ü å Ǵ μ ü å ¿ ̿ ǹϰ ִ ̴.
 °, 鿡 ȭ Ǿ ϰ ִ ġü踦 ǹϴ ȭ  ǰ  ġ ִ , ȭ ܹȭ, ȭ, 蹮ȭ, ոȭ ܹȭ ȭ, 蹮ȭ Ư Ҽ 踦 Ȯ ־. ̴ , ȭ ̰ ŷڿ ȭ ̷ ܹȭ̰ų, ܺȯ ȭ ΰϿ ̰ żϸ ȭ Ư ϰų, ȭ ϸ ǽ, ߿伺 ϴ 蹮ȭ Ư ȿ ϴ ̴.
 °, ߰ ϰ Ͽ ȸ Ư Ư ȭ, , ȸ Ư е ܿ Ư ȭ հ ǹ ̸ Ÿ ִ Ȯ ־, 쿡 ־ ȸ Ư ׸񿡼 հ ǹ ̸ ʰ ־.
 ߼ұ ֱ ؼ ߼ұ ȯ ܹȭ ϱ Ȱ ϰ, ̸ ϱ 濵ڰ ɰ ڸ Ƴ ʴ ߿ϴ.

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鿡 Ͽ Բ ؾ ְ ֹε鿡 ü ̳ ๰ ̸ ๰ Ű ȯ 鿡 Բ Ͽ 뿪̳ 縦 ѷ ̱ǰ̳ 񸮰 ߻ϱ ϰ, ذ 20 ʾ ؾ ϴ ظ Դ° ϸ, к 깰 ȯ ȭ ְŰ ⼺ ü ߽ ְŹȭ ϱ⵵ ϴ ȸ εǰ Ǿ. ȸ ȯ溯ȭ ֹε ְ Ȱ Ű 屸 پ, ׿ ߾ ý ֹ Ư ߽ Ưȭ 䱸Ǵ ̸ ̴. ̷ ȸ ȯ ȭ ߾ , ߿ Ŀ ֹ ְ ˾ƺ Ŀ ֹε ̰ ִ ׸ κп ֹε ϴ ǹ̼ Ͽ. ֿ . ù°, ࿬ Ź νĵǴ ׸ ǹκ, κ, κп ֹ ġ ֹε , ݱ ࿬ ʹ Ǿ. °, ࿬ ġ νĵǴ ׸ ǻݿκ, ģκп ־ ࿬ ġ Ʈ ֹ Ÿ. ̿ δ ڴǥȸǿ λ Ǵܵȴ. °, κп ־ ġ Ʈ ֹ Ź Ʈ ֹε ̰ , ֹε üϴ Ǽ α 񱳸 Ǵϴ , αٿ ġ Ը, , ⵵ Ź Ʈ ġƮ Ͽ Ƿ ̰ Ǵܵȴ. ؼ ġ Ʈ ֹε ū Ÿ ׸ ġϴ Ǿ ǹ ̰ ׸ ϰ κп ġ ֹε ū Ǿ. ֹε ɵ ġ ŹĿ , İ 谡 , ֹε ɰ ұ Ǿ. ֹθ ֹε з̳ 谡 , Ȱ 󼭴 ֹθ ġ ̰ Ÿ. ̻ 2000 Ź ߼ ֹ ǻ ݿ ٶ ⺸ٴ ô ߼, Ȥ ڴǥȸ å , ŹĿ Ͽ ϸ λ ̰, Ź å Ӽ 츱 ִ ȭ α׷ Ͽ üῩ Ҽ Ͽ Ź ӽŰ ϱ⺸ٴ ֹε鿡 ϴ ʿ Ǵܵȴ. ɵ Ź ġ ҹϰ ֹε ɰ Ͽ ȮDZ ǿ , ֹε ɰ ݵ ų ̸ ְź ̴.

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߼ұ Ư ȭ ġ ⿡ ؼ Ͽ. ߼ұ Ϲ  ؼ ܼϰ ְ濵 濵ħ Ǵ 濵Ȱ ü ܽð ޵Ǵ ª θ , ǻ ä , Ǵ μ μ ߽ ̷ ֱ ѹ Ǿ ִ 찡 κ̴. ̷ Ư ؼ ߼ұ ϴ λ, ȸ ӱ, ް, , ⺻ ɿ ġ , 濵 Ȱ μ ʴ ְ濵ڿ ӿ ؼ ̷ ִ ̴. λ籸 ܼϰ , ȭ ϱⰡ ϰ ִ. ̷ ߼ұ ȭ Ư мϰ ̷ ġ ϴ ߼ұ Ư ´ λ ϰ ϴµ ū ִ. ̿ . ù°, ߼ұ Ư ׵  ġ ִ , Ư ɴپ缺, ü, ߿伺, , ȯ ü ȯ ġ Ȯ ־. Ư ü ٴ ȯ Ͽ ū ġ ִ ־ ̴ ߼ұ ϴ Ϻκ ƴ ü å Ǵ μ ü å ¿ ̿ ǹϰ ִ ̴. °, 鿡 ȭ Ǿ ϰ ִ ġü踦 ǹϴ ȭ  ǰ  ġ ִ , ȭ ܹȭ, ȭ, 蹮ȭ, ոȭ ܹȭ ȭ, 蹮ȭ Ư Ҽ 踦 Ȯ ־. ̴ , ȭ ̰ ŷڿ ȭ ̷ ܹȭ̰ų, ܺȯ ȭ ΰϿ ̰ żϸ ȭ Ư ϰų, ȭ ϸ ǽ, ߿伺 ϴ 蹮ȭ Ư ȿ ϴ ̴. °, ߰ ϰ Ͽ ȸ Ư Ư ȭ, , ȸ Ư е ܿ Ư ȭ հ ǹ ̸ Ÿ ִ Ȯ ־, 쿡 ־ ȸ Ư ׸񿡼 հ ǹ ̸ ʰ ־. ߼ұ ֱ ؼ ߼ұ ȯ ܹȭ ϱ Ȱ ϰ, ̸ ϱ ؼ ߼ұ 濵ڰ ڸ Ƴ ʴ ߿ϴ.

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ǵ Ͽ ϰ Ѵ. ù°, νϴ б濵 ȭ 簡 , ٴ 򱳻簡, 10 ̸ 簡, ٴ 簡, Ը б ٹϴ 簡 Ҵ. 簡 ȭ Ȱ ȭǾ Ÿ , 10 ̸ 簡 б 濵 ϰ ִ ٶ ̶ ϰڴ. б Ը ȭ Ը б б 濵 Ȱ ҵν б濵 ްԵǰ б 濵ü л ҿ ǽİ ȯ ȭ ü ̶ ̴ 簡 ȭ Ͱ ǹ̶ ϰڴ. °, 簡 , 򱳻 ǰ , ºδ 10 ̸ 簡, 簡 , б Ը𺰷δ 12б ̻ Ÿ. 纸 簡 ںνɰ б濵 ȸȰ ִ. , ұԸ бٴ 12б ̻( б)б ȯ ȸ ȭ ü ̴. Ư ұԸ б ٹ ϴ ٷ ̿ ִٰ ǴܵǹǷ ұԸ б ȯ ȭ ϴµ ࡤ ־߰ڴ. °, б 濵 ȭ ذ 谡 . б 濵 ȭ ġ ܰ зϿ ó , б濵 ȭ ܺ 濵 б濵ȭǡ ΰ Ÿ Ұ ǰ ִ Ÿ б濵 ־ б ְ 䱸 ûϰ ִ. °, б 濵 ȭ ſ Ÿ. , б濵 ȭ ɷ, λ ɷ, ɷ, ° ɷ . б濵 ȭ , Ⱑ б öа 濵ڱ⿬ ɷ, ȭ ȸ á λ ɷ, ڷμ дɷ, б ꡤ ɷ, ޱкθ ° ɷ ȭ Ѿ ̴. ټ°, û ÿ ϰ ִ ʵб 鿡 Ͽ , ǰ б ޺(..) Ͽ ϴ ٰ ̷ ٶ Ӿ å Ǿ Ѵ.

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ȯڰ ϴ ȣ񽺸 ϱ ؼ ȣ η° ߿ϴ. 츮 ȣ η ġ ٸ Ͽ ȣ 1 ȯ , ȣ 캸 ߼Һ Ҵ. ߼Һ 츮 Ƿ κ ϹǷ ߼Һ ȣ ȣ ־ ߼Һ ȣ η° ߿ϴ. ǵ ǵ ݵ ȣ ǵ ִ ȮϿ ȭϰ Ǹ, ȣ縦 ־ ȿ ų ִ. ̿ ӻȣμ ߼Һ ȣ ǵ ġ ľϿ ߼Һ ȣ η° ʿ ڷḦ ϱ Ͽ Ǿ. 
 翬 B ÿ 3 ߼Һ ȣ 177 Ͽ. ڷ B Kб ȸ(IRB) Ǹ 2020 8 27Ϻ 9 30ϱ Ͽ ڷ ǽϿ. ڷ ڰ ش ߼Һ ȣ Ǹ , ϰ ǻ ڿ Ͽ ȭ Ͽ, ڱ Թ Ͽ ۼ кϿ ڰ ȣο 湮Ͽ ȸϿ. ӻȣμ (2016) ӻȣμ Ͽ. Allen Meyer (1990) ȣ, ȭ, (2013) Ͽ. ǵ Cowin (2002) Nurses Retention Index (NRI) (2006) ǵ Ͽ. 
 ڷм SPSS WIN 22.0 α׷ ̿Ͽ Ǽ, , հ ǥ, ǥ, ּҰ, ִ밪, t-test, ANOVA Scheff test, Pearsons correlation coefficients multiple regression Ͽ.
 
 ϸ .
 
 1. ӻȣμ 201.0322.78(:53-265), 3.790.43(ô:1-5) Ÿ. ӻȣμ ȣۿ 4.110.79, 3.990.54, 3.960.59 Ÿ, ħ 3.360.71, ٸ 3.560.67, 3.570.58 Ÿ. 50.1910.04(:17-85), 2.950.59(ô:1-5) Ÿ. ǵ 23.055.35(:4-32), 5.761.34(ô:1-8) Ÿ.
 
 2. Ϲ Ư Ư ӻȣμ ٹ(F=10.0, p<.001) ̰ Ÿ. 
 Ϲ Ư α ȸ Ư (t=-2.43, p=.048) ̰ Ÿ, Ư μٹ(t=3.71, p<.001), ӻ(F=3.70, p=.013), ٹ(F=33.04, p<.001), ޿(F=19.76, p<.001) ̰ Ÿ. 
 ǵ Ϲ Ư α ȸ Ư (t=-3.11, p=.002), ȥ(t=2.08, p=.039) ̰ Ÿ, Ư μٹ(t=4.14, p<.001), ٹ(F=25.96, p<.001), ޿(F=9.78, p<.001) ̰ Ÿ. 
 
 3. ǵ ӻȣμ(r=.454, p<.001), (r=.624, p<.001) 谡 ִ Ÿ.
 
 4. ǵ ū ġ (=.425, p<.001) Ÿ, (=.207, p=.001), ӻȣμ(=.164, p=.011), ٹ(=.151, p=.022), μٹ(=.128, p=.025) Ÿ, ̵ Խ ε ǵ 47.9% ϴ Ÿ.
 
 , ߼Һ ȣ ӻȣμ, ǵ Ҵ. ǵ ġ , , ӻȣμ, ٹ, μٹ Ÿ. Ͽ , λ Ȱ Բ 丵 α׷ ߰ ʿϴ. ׸ ӻȣμ ִ ӻȣμԾ α׷ ߰ պ ȣ ߼Һ ȣ ӻȣμ , ǵ ̿ ݺ ʿϴ. , ߼Һ ȣ ǵ ȸȭ ϱ ʿϴ ȴ. ׸ ǵ ϱ å ̷ ϸ, ߼Һ ȣ ȣη ä ÿ ȣ簡 ϴ μ Ͽ ġν ȣ ǵ 䱸ȴ.

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λý(Personal Management System) ֱ ޺ϴ ȯ濡 ϰ ϱ⿡ ٺ Ѱ踦 ִ. ʿ 縦 缺Ͽ ϰ, ôȲ ° ο ǽ ϸ, ư ο ʿ ̰ 濵 ȿ ִ ο e-HR(electronic Human Resource) ý ԵǾ Ѵ. HRM(Human Resource Management) ̷ e-HR ں(Human Capital) 鿡 ϰ ̿ ʿ伺 Ѵ. , λ ̳ BPR(Business Process Reengineering) м ߿伺 ϰ, e-HR ý ȿ ִ Ѵ. λ  ֿ ̽ ϰ Ǵ ̽ ׸ ν e-HRý ̰ų ϰ ִ ü e-HRý ȿ ϰ ϱ ϸ, 濵 ȿ ִ Ȱ Ѵ. Keywords : 濵, HRMS, e-HR, BPR

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ʵб бȰ ϴ Ʈ ˾ƺ, ó Ͽ Ȱ ְ ɷ ⿩ ϸ . ù°, Ʈ Ѱ? °, κ б κ ο Ʈ Ѱ? °, Ʈ Ʈ ó Ѱ? ʵб Ʈ ؿ 9 30 װ Ʈ ó 3 20 Likert 5ܰ ô Ͽ, ŷڵ Cronbach .6236 .8733̸ . (ֱ, ϳ, õ)ʵб 307̾. ó SPSS α׷ t F Ͽ. . ù°, Ȱ, λ, 迵 ǹ ִ ̸ ְ ִ. °, ܿ 򱳻簡 б濵 ǹ ִ Ʈ ְ ִµ ̴ 򱳻簡 纸 б濵 ȸ ޵ ʴµ Ҹ δ. °, º ɺ ܿ 10 ̸ , 20-29 簡 Ȱ, бް濵, 繫ó, б濵 ſ ǹ ִ ̸ ְ Ʈ ߱ å 䱸ȴ. °, 50б ̻ Ը б Ȱ, 繫ó, б濵 ſ ǹ ִ Ʈ ִ. ټ°, Ʈ ޾ ó óϴ ȸǹ ִ. °, Ȱ Ʈ бް濵, Ȱ , кθ 迵, Ȱ Ÿ ̴ б޴ ο Ͽ Ȱ ư ǻ ڳ࿡ , ִ ð ٰ ֿ Ʈ Ÿ ִ. ̻ ϰ Ѵ. ʵб Ʈ ҽŰ ؼ ִ ð 氨 н ڷ Ȯ, б޴ ο ҷ Ǿ ϸ ո , ٹ λ縦 ̷ ϸ 򼺰 Ͽ پ ȸ ϸ ʿϴ. кθ 迵 ȸ dz, , кθ ɿ Ʈ ذϱ ؼ к 縦 ŷϸ ȸ Ǿ Ǿ μ μ ڱɰ ҽ л ̸, кθ ȸ Ȯ ȸ Ʈ ҽŰ ʿϴ. , б 濵 ȸ Ȯϰ ٹ Ͽ ɸ ּ ϴ å 䱸Ǹ 鵵 Ʈ ϰų ʰ óϴ ڽ Ʈ Ͽ ٶ dz ӿ ̷ ؾ Ѵ.

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