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�씤援� 媛먯냼 �떆���: �룄�옒�븯�뒗 �깉濡쒖슫 �쁽 |
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| 35�뀈 �쟾, �슦由щ뒗 �씤瑜� 臾몃챸�씠 �쟾濡� �뾾�뒗 �씤援� 媛먯냼瑜� 留욎씠�븷 寃껋씠�씪怨� 寃쎄퀬�뻽�떎. �씠�뒗 �쟾 �꽭怨꾩쟻�씤 異쒖궛�쑉 ����븯濡� �씤�븳 �쁽�긽�쑝濡�, �씠�젣 洹� �삁痢≪씠 �쁽�떎�솕�릺怨� �엳�떎. |
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�냽�뾽�쓣 蹂��쁺�떆�궎�뒗 �씤怨듭���뒫怨� 濡쒕큸怨듯븰 |
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| 媛��옣 湲곗큹�쟻�씤 �궛�뾽�씤 �냽�뾽�씠 �쁽�옱 留덉＜�븯怨� �엳�뒗 �룄�쟾 怨쇱젣濡쒕뒗 臾댁뾿�씠 �엳�쓣源�? �씤怨듭���뒫, 濡쒕큸怨듯븰, 洹� �쇅 湲고�� �젙蹂� 湲곕컲 湲곗닠�씠 �냽�뾽�쓣 �뼱�뼸寃� �뼢�긽�떆�궎怨� �슚�쑉�쟻�쑝濡� 留뚮뱾 �닔 �엳�쓣源�? |
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[MBA] �뜑 �슚怨쇱쟻�씤 �씪����씪 誘명똿�쓣 |
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| 2023�뀈 珥�, MIT �뒳濡쒖븞 留ㅻ땲吏�癒쇳듃 由щ럭(MIT Sloan Management Review)�뿉 ��섑썑臾닳�숈쓽 怨듬룞 �꽕由쎌옄 �젣�떆移� �쐞利덈뜡(Jessica Wisdom)��� 愿�由ъ옄媛� 吏곸썝 諛� ����썝怨� �씪����씪 誘명똿�쓣 二쇱옱�븯�뿬 洹몃뱾�씠 吏�移섏�� �븡怨� �솢�젰�쓣 �뒓�굜 �닔 �엳�룄濡� �븯�뒗, 怨쇳븰�쟻�쑝濡� �뮮諛쏆묠�맂 5媛�吏� �떒怨꾨�� 諛앺삍�떎. |
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Tracking the Experts |
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| Regardless of whether we��셱e talking about open or closed innovation, building open source or proprietary systems, or discussing operating under a product-centered business model, a customer-centered model, or a co-creation model, companies can��셳 effectively compete unless they can locate and organize the available expertise. But, expertise can be surprisingly difficult to find, even in businesses that have spent millions to attract and retain world-class experts. The problem isn��셳 that the company doesn��셳 have the expertise; it��셲 that no one knows who has it or how to find it. |
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AI Superpowers: Chin |
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| 저자 | Kai-Fu Lee |
| 출판사 | Houghton Mifflin Harcourt |
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[76]권 
