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[RH] 移댄럹�씤�씠 �냼鍮꾩옄 吏�異쒖뿉 誘몄튂 |
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| ��섏���꼸 �삤釉� 留덉���똿(Journal of Marketing)��� ����꼸�뿉 諛쒗몴�맂 �씠 �뿰援ъ뿉�꽌 �뿰援ы����� 留ㅼ옣�쓣 �룎�븘�떎�땲湲� �쟾�뿉 臾대즺濡� �젣怨듬맂 移댄럹�씤 而ㅽ뵾 �븳 �옍�쓣 留덉떊 �눥�븨媛앹씠 �뵒移댄럹�씤�씠�굹 臾쇱쓣 留덉떊 �눥�븨媛앸낫�떎 �빟 50% �뜑 留롮�� �룉�쓣 �벐怨� 嫄곗쓽 30% �뜑 留롮�� �뭹紐⑹쓣 援щℓ�븳�떎�뒗 �궗�떎�쓣 諛쒓껄�뻽�떎. |
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以묎뎅寃쎌젣 2025瑜� �넻�빐 �씫�뒗 �븳援��쓽 |
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| 저자 | Liu Shijin �쇅, Zhu Keli �렪吏� |
| 출판사 | CITIC異쒗뙋洹몃９ 二쇱떇�쉶�궗 |
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AI Superpowers: Chin |
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| 저자 | Kai-Fu Lee |
| 출판사 | Houghton Mifflin Harcourt |
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The Management Myth |
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| 저자 | Matthew Stewart |
| 출판사 | W. W. Norton & Company |
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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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[80]권 
