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DBA – KM – Day 1

DBA – KM – Day 1. JC Spender jcspender@yahoo.com www.jcspender.com. what is KM about ?. Knowledge / Information Age improving communication using IT’s new capabilities valuing the organization’s intellectual (intangible) assets measuring intangible assets managing organizational learning

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DBA – KM – Day 1

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  1. DBA - KM - Day 1

  2. DBA – KM – Day 1 JC Spender jcspender@yahoo.com www.jcspender.com DBA - KM - Day 1

  3. what is KM about ? • Knowledge / Information Age • improving communication • using IT’s new capabilities • valuing the organization’s intellectual (intangible) assets • measuring intangible assets • managing organizational learning • retaining intangible assets • knowledge  action DBA - KM - Day 1

  4. collecting & storing knowledge • tracking, surveillance, email, networks • expert systems, knowledge engineering & BPR • delegation to work groups • incentives to give up one’s K, division of labor • internal competition, culture change • ledgers, filing cabinets • legacy systems – integrated real-time database • costs, database maintenance – real-time data capture top-down • retaining skilled employees • codifying best practices DBA - KM - Day 1

  5. sharing & measuring • pull, on demand • push • integration into work processes • deskilling - white collar, blue collar • people issues, technological construction of work-place culture • alignment of knowledge and strategic objectives • locate experts and measure their IC • accounting for intangible assets • cost or value ? • relationships, within company, with customers, external resources, alliances • measure firm, culture of information and skills flow – firm response vs workgroup response • business model DBA - KM - Day 1

  6. problems addressed by KM projects • finding and codifying intellectual (K-based) assets • collecting, storing, distributing • sharing • measuring / accounting • investing in K-assets and organizational learning • customer / supplier relationships • K-retention But where are the people ?? DBA - KM - Day 1

  7. types of human knowing language data meaning practice values tacit - beyond language DBA - KM - Day 1

  8. convert practice-knowing ? • Boisot 1998 • codification • abstraction • diffusion • explicit / tacit distinction • Nonaka & Takeuchi 1995 • socialization • externalization • combination • internalization Taylor & Scientific Management DBA - KM - Day 1

  9. DBA - KM - Day 1

  10. KM strategies ? DBA - KM - Day 1

  11. our agenda • use these ideas + others to evaluate KM situations and cases • mutual exchange of KM ideas and expectations • insight into some fundamental management difficulties / paradoxes • insight into the relationship between the tangible resources and the K-assets DBA - KM - Day 1

  12. so what is KM again ? • NOT just ‘information management’ - but what else ? • the ways in which people know - D, M, P • humanist model of organization - vs - logical/mechanical model • getting best value from the organization’s un-priced K assets • developing a K-sharing work environment • measuring, mapping, capturing K-assets • managing K-growth (OL) and retention • understanding and managing organizational change • using K to develop better customer/supplier relationships • K-based sustainable competitive advantage DBA - KM - Day 1

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