Net centric tacit-knowledge_management_v_mb

664 views

Published on

Published in: Education, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
664
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
7
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Net centric tacit-knowledge_management_v_mb

  1. 1. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 1 Net-Centric Approach to Tacit Knowledge Management Michael Brown SkillsNET Corporation Brussels – Germany - UK Visibility into Embedded Knowledge Assets
  2. 2. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 2 Michael Brown. . .
  3. 3. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 3 Framing the Discussion • Today’s organization are experiencing a convergence: • Emerging technologies affecting work practices – Virtualization of work • A maturing workforce – Retiring and/or moving on to second careers – Walking out the door with years of experience • Hiring of Tech-savvy employees – High comfort and skill; technology is natural • New Internet capabilities – Web 2.0 (social web) / Web 3.0 (semantic web) • The Leadership mandate: Maximize the enterprise’s intellectual capital via tacit knowledge management to optimize capability and competitiveness
  4. 4. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 4 Motivation, Problem Area • Specialized population of second line engineers needed to improve processes to capture and share expertise • Methodology could not duplicate existing knowledge capture and sharing applications • Solution had to improve workflow and worker productivity • Process had to be self-directed / self-correcting / self-auditing • To demonstrate the value of using semantic and social web tools to capture and share hidden dimensions of knowledge or skills forming key elements of „expertise‟ • Experienced workers draw upon these elements in everyday activities and continuously expand them in tackling new or unexpected situations Motivation: Problem Area:
  5. 5. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 5 Major Research Objectives 1. Is it possible to capture operational and tacit knowledge via net-centric event and content analysis? 2. Could such a process become ubiquitously imbedded in every day workflow routines? 3. Would such a system increase visibility into Tacit Knowledge and expertise data? 4. Could such a system be integrated into enterprise architecture?
  6. 6. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 6 Sensor Appliance Associations/ Affiliation Engine Semantic/ NLP Small Worlds Context Analytics MIKE Dashboard Net-Centric Event Management /Content Other Content Sources Taxonomic Adjustment Data Collection 1 32 Dashboard Semantic Analysis Data Alignment Data Presentation Email Blog, Wiki IM, etc. Reports Diagrams Records “We didn’t hire smart people so we could tell them what to do; we hired them to tell us what to do.” An interdisciplinary research approach Research Approach, Methodology Most Important Knowledge and Expertise MIKE
  7. 7. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 7 Second line engineers collaborate electronically with other engineers who use TK & EK to assist Second line engineers receive a request for assistance Second line engineers use TK to formulate a solution Electronic artifacts are “processed” and added to MIKE MIKE Data are shared to solve new problems; solutions are then added to MIKE as new TK M I K E Application EK with embedded TK 2. 3. 4. 5. 1. Vendors Field Technicians / Engineers Second line engineers research Net-centric and other content, e.g., Records of Assistance, Tech Reports, Handbooks, etc. Contextual Environment
  8. 8. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 8 Major Outcomes / Results MIKE is self-populating - self-correcting
  9. 9. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 9 Major Outcomes / Results • Extraction of data from social business, expertise and trust networks. • Event-based filtering and navigation of e-mail, blog, wiki discussions. • Uncovering hidden tacit knowledge in explicit knowledge artifacts. • Filtering and navigation of VoIP telephony transactions. Demonstrated easy exploratory yet comprehensive access to net- centric data and allowed for:
  10. 10. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 10 Conclusion and Outlook • Given the forces of change, more effective capturing and sharing of TK across the enterprise is essential for maximizing organizational performance and competitiveness; MIKE technology can facilitate this. • The work culture is migrating toward a Virtual Organization (VO) operational environment; MIKE technology can help organizations manage that imminent change. • Tacit knowledge and sharing patterns can be captured, presented and optimized without disruption to employees’ daily routine.
  11. 11. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 11 Early Adopters Going beyond the proto-type experience……. Major water utility in Maryland, USA NASA aerospace contractors University of Houston future smart grid workforce
  12. 12. Session 3c, 27 Wed October 2010 eChallenges e-2010 Copyright 2010 Net-Centric Tacit Knowledge Management 12

×