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Framework for Developing Knowledge Management Strategy


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Posted by Editor[at] on August 22, 1998 at 14:05:22:

In Reply to: Knowledge Management Strategies posted by Bob Guns on August 22, 1998 at 10:17:55:


Bob,

Nice to hear from you again. Based on our continuing interactions with partners and senior executives of firms implementing Knowledge Management, I share your belief that the topic of Knowledge Management Strategy needs dire attention. We would like to share our thinking on this topic and invite you to share your understanding based on the work that you have done with CKOs.

To get the discussion rolling, I would like to underscore three key themes that seem pertinent to the issue at hand. @BRINT Research Institute has been developing and disseminating knowledge about these fundamental issues over the last few years. Our theory-generation, practice and advisory activities have focused on developing the underpinning bases for a cohesive framework of Knowledge Management Strategy.

Details about these issues -- along with relevant articles, interviews, commentaries and analyses -- may be accessed from the various topic areas of the WWW Virtual Library on Knowledge Management, developed and sponsored by @BRINT Research Institute.

Listed below are what we consider the three key anchors for developing a cohesive framework for the organizational Knowledge Management Strategy.

1. Knowledge is distinct from Information

See, for instance, our conference article available online at:

  • "Knowledge Management in Inquiring Organizations"

  • http://km.brint.com/km.htm

    • as well as the compilation of our commentary and analyses accessible at:

  • Commentary & Analyses: Knowledge Management Issues
    • .

  • http://www.brint.com/opinion/

    • 2. Management is distinct from Control

    See, for instance, our interview with 'Training and Development' magazine entitled Virtual Corporations, Human Issues & Information Technology" and prior discussions on this forum accessible under:

  • On Management & Control

    • 3. Strategy should focus on 'Anticipation of Surprise'

    As noted in our articles and presentations . You may also like to review the Mintzberg-Ansoff debates [besides others such as the works of Brian Arthur] about the 'new thinking' on strategy. We have attempted to relate such 'new thinking' to Knowledge Management in our commentary and analyses, as well as more explicitly in the following two articles:

  • Knowledge Management for the New World of Business

  • Toward a Knowledge Ecology for Organizational White-Waters

    • Now… leaving the virtual podium for your turn to motivate the dialog…

    Editor[at]
    @BRINT Research Institute
    www.brint.com


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    SAMPLE OF FinTech PROJECTS LEADING GLOBAL FIRMS & NATIONAL ECONOMIES


    FinTech Enterprise Risk-Model Risk Management meet Penetration Testing-Ethical Hacking

    2015 National CSO-CxO Cybersecurity Conference

    Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation
    CSO-CxO Plenary Keynote, National Cybersecurity Summit, Altria Group Inc. Headquarters, VA, 2015

    New York Cyber Security and Engineering Technology Association (NYSETA) Conference
    A Framework for Pen Testing Network Protocols for Global Banking & Finance Call Centers: Bridging Networks, Systems, and, Controls Frameworks for Cybersecurity Curricula & Standards Development
    (Innovative Design and Development Practices)
    New York Cyber Security and Engineering Technology Association (NYSETA) Conference, 2015.



    29 SSRN Top-10 Paper Rankings in FinTech Quant Risk Analytics-Model Risk Management
    1. SSRN's Top-10 Paper: CGN: Risk Management Practice: January 2016.
    2. SSRN's Top-10 Paper: CGN: Risk Management, Including Hedging & Derivatives: January 2016.
    3. SSRN's Top-10 Paper: Corporate Governance Practice Series eJournal: January 2016.
    4. SSRN's Top-10 Paper: IRPN: Innovation & Cyberlaw & Policy: January 2016.
    5. SSRN's Top-10 Paper: Econometrics: Mathematical Methods & Programming eJournal: May 2015.
    6. SSRN's Top-10 Paper: Computational Techniques: May 2015.
    7. SSRN's Top-10 Paper: Information Systems & Economics eJournal: May 2015.
    8. SSRN's Top-10 Paper: Econometrics: Mathematical Methods & Programming eJournal: April 2015.
    9. SSRN's Top-10 Paper: ERN: Computational Techniques (Topic): April 2015.
    10. SSRN's Top-10 Paper: Econometric Modeling: Risk Management eJournal: March 2015.
    11. SSRN's Top-10 Paper: Econometric Modeling: Capital Markets - Risk eJournal: March 2015.
    12. SSRN's Top-10 Paperr: Econometric Modeling: Capital Markets - Risk eJournal: March 2015.
    13. SSRN's Top-10 Paper: MRN Operations Research Network eJournal: March 2015.
    14. SSRN's Top-10 Paper: OPER Subject Matter eJournal: March 2015.
    15. SSRN's Top-10 Paper: Systemic Risk (Topic): March 2015.
    16. SSRN's Top-10 Paper: Econometrics: Mathematical Methods & Programming eJournal: March 2015.
    17. SSRN's Top-10 Paper: Econometric & Statistical Methods - Special Topics eJournal: February 2015.
    18. SSRN's Top-10 Paper: Microeconomics: Decision-Making under Risk & Uncertainty eJournal: February 2015.
    19. SSRN's Top-10 Paper: VaR Value-at-Risk (Topic): February 2015.
    20. SSRN's Top-10 Paper: ERN: Uncertainty & Risk Modeling (Topic): February 2015.
    21. SSRN's Top-10 Paper: ERN: Econometric & Statistical Methods (Topic): February 2015.
    22. SSRN's Top-10 Paper: Computational Techniques (Topic): February 2015.
    23. SSRN's Top-10 Paper: OPER: Analytical (Topic): February 2015.
    24. SSRN's Top-10 Paper: ERN: Mathematical Methods & Programming (Topic): February 2015.
    25. SSRN's Top-10 Paper: Stochastic Models eJournal: February 2015
    26. SSRN's Top-10 Paper: Econometric Modeling: Capital Markets - Risk eJournal: January 2015.
    27. SSRN's Top-10 Paper: Microeconomics: Decision-Making under Risk & Uncertainty eJournal: January 2015.
    28. SSRN's Top-10 Paper: Uncertainty & Risk Modeling (Topic): January 2015.
    29. SSRN's Top-10 Paper: VaR Value-at-Risk (Topic): January 2015.

    Recent Research Presentations and Research Reports
    *2016 Princeton Quant Trading Conference Invited Research Presentation: Beyond Stochastic Models to Non-Deterministic Methods.
    *2015 Princeton Quant Trading Conference Invited Research Presentation: Beyond Risk Modeling to Knightian Uncertainty Management.
    *Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).
    *Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems.
    *Risk, Uncertainty, and Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management of Cyber Risk Insurance Models.
    *Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.
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    * Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System.
    *2015-2016 31 SSRN Top-10 Research Ranking Awards for Computational Quantitative & Risk Analytics Algorithms Research.
    * 2008 AACSB International Impact of Research Report: Named among Black-Scholes, Markowitz, Sharpe, Modigliani & Miller


    Princeton University Invited FinTech Research Presentation on Model Risk Management
    Pioneering the FinTech Future of Global Cyber Finance and Cyber Risk Insurance

    '"It is this "true" uncertainty, and not risk, as has been argued, which forms the basis of a valid theory of profit and accounts for the divergence between actual and theoretical competition... It is a world of change in which we live, and a world of uncertainty...If we are to understand the workings of the economic system we must examine the meaning and significance of uncertainty; and to this end some inquiry into the nature and function of knowledge itself is necessary."
    -- Frank H. Knight
    in     Risk, Uncertainty, and Profit
    (Boston, MA: Hart, Schaffner & Marx; Houghton Mifflin Co), 1921.

    Risk, Uncertainty, and Profit: Frank Knight
    (Boston, MA: Hart, Schaffner & Marx; Houghton Mifflin Co), 1921.

    2015 Princeton Quant Trading Conference
    'Knight Reconsidered':
    Risk, Uncertainty, and, Profit for the Cyber Era: Model Risk Management of Cyber Insurance Models using Quantitative Finance and Advanced Analytics
    (Global Risk Management Network, LLC, 2015).



    Top Wall Street Banks' Model Risk Management Beyond VaR for Extreme Risks
    FinTech Technical Expert to Top MDs Team for World's Largest Investment Bank


    Cryptanalytic Algorithms and Quantum ComputingBeyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).
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    Cryptanalytic Algorithms and Quantum Computing

    Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-At-Risk (VaR)
    (Global Risk Management Network, LLC, 2012).


    FinTech Markov Chain Monte Carlo Models and Bitcoin Block Chain Encryption Protocols

    Markov Chain Monte Carlo Models, Gibbs Sampling, and, Metropolis-Hastings Algorithms

    Markov Chain Monte Carlo Models,
    Gibbs Sampling, and, Metropolis-Hastings Algorithms
    (Global Risk Management Network, LLC, 2013).
    Complex Stochastics Hi-Dimensional Statistical Analysis

    Bitcoin Protocol: Model of ‘Cryptographic Proof’ Based Global Crypto-Currency & Electronic Payments System
    Bitcoin Protocol: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System
    (Global Risk Management Network, LLC, 2013).
    First Report on the Bitcoin Cryptographic-Proof-of-Work


    FinTech Computational Quantitative Cryptanalytic Algorithms for Cyber-Quantum Era


    Cryptanalytic Algorithms and Quantum ComputingFuture of Bitcoin & Statistical Probabilistic Quantitative Methods: Interview by Hong Kong Institute of Certified Public Accountants
    (Global Risk Management Network, LLC, January 20, 2014.)

    Cryptanalytic Algorithms and Quantum Computing
    Cryptology beyond Shannon’s Information Theory: Preparing for when the ‘Enemy Knows the System’: Beyond NSF Cryptanalytic Algorithms
    (Global Risk Management Network, LLC, 2013.)

    AACSB Recognizes Real Impact among Nobel Laureates such as Black-Scholes
    Pioneered Anticipatory Risk Analytics Frameworks Applied by Top Investment Banks 

    “There are many examples illustrating that advances in basic research have had a substantial impact on practice. Exemplars of this phenomenon can be seen in finance through academic publications on the theories of portfolio selection (Markowitz, 1952), irrelevance of capital structure (Modigliani and Miller, 1958), capital asset pricing (Sharpe, 1964), efficient markets (Fama, 1965 and 1970), option pricing (Black and Scholes, 1973), and agency theory (Jensen and Meckling, 1976). All are well-known for their substantial impact on both theory and practice. In information systems, the research of Malhotra (Malhotra, 2004) has helped companies to understand why knowledge management systems fail...”

    AACSB logoAACSB

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    		 Cryptanalytic Algorithms and Quantum Computing

    “The new business model of the Information Age, however, is marked by fundamental, not incremental, change. Businesses can't plan long-term; instead, they must shift to a more flexible "anticipation-of-surprise" model.”
    -- Yogesh Malhotra in CIO Magazine interview, Sep. 15, 1999.

     

    Leading Global Enterprise Risk Management and Model Risk Management Practices

    "The future is moving so quickly that you can’t anticipate it… We have put a tremendous emphasis on quick response instead of planning. We will continue to be surprised, but we won't be surprised that we are surprised. We will anticipate the surprise."
    *     20-Years of the Model Risk Management Program     		  “The new business model of the Information Age, however, is marked by fundamental, not incremental, change. Businesses can't plan long-term; instead, they must shift to a more flexible "anticipation-of-surprise" model.”
    -- Yogesh Malhotra in CIO Magazine interview, Sep. 15, 1999.
    [A Decade Later... Wall Street CEO, CFOs, & CROs know so... ]
    Model Risk Management Program

     

    Global-National Expert Panels of Computer Scientists & Quantitative Economists
    Global-National Thought Leader for UN, NSF, US & World Governments & Parliaments

    National Science Foundation  IBM

    		   USA Federal Government
    US Dept. of Veteran Affairs

    Government and Cabinet Of Mexico

    United Nations

    Government and Cabinet Of Netherlands

    Nation of South Korea
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    ACM  IEEE HP
    TiE Silicon Valley  Accenture
    Intel  Philips
    British Telecom  Institute for Supply Management
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    Digital Transformation Research in Global Business & Technology Press

    CIO Magazine
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    Inc.
    Fortune
    Wall Street Journal
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    Digital Transformation Ventures in Global Business & Technology Press

    Media Coverage Media Coverage
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    Digital Transformation Venture Clients, Patrons, & Subscribers

    A sample of our corporate and organizational clients, patrons, and users is listed below:

    FinTech Firms: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo

    Consulting Firms: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers

    World Governments: Australia, Canada, European Union, United Kingdom, United States

    U.S. Defense: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, NASA, Navy, RAND

    World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)

    Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton

    Associations    : AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS

    "Founder Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice..."
    -     Dr. Yogesh Malhotra in Fortune     Interview

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    Cyber Transformation Practices Guiding US DoD Commanders & CxOs
    ("Obsolete what you know before others obsolete it..."
    - Dr. Yogesh Malhotra in Inc. Interview)

    United States Army United States Navy United States Air Force United States Marine Corps AFRL
    "If you spend some time at [the digital research lab] founded by Dr. Malhotra youwill be blessed by some of the world's most astute thinking on the nature of knowledge and its value." 
    - U.S. Army Knowledge Symposium, Theme: "Knowledge Dominance: Transforming the Army...from Tooth to Tail", US Department of Defense, United States Army.

    "There are many definitions of knowledge management. It has been described as "a systematic process for capturing and communicating knowledge people can use." Others have said it is "understanding what your knowledge assets are and how to profit from them." Or the flip side of that: "to obsolete what you know before others obsolete it." (Malhotra) "
    - U.S. Department of Defense, Office of the Under Secretary of Defense (Comptroller)

    "KM is obsoleting what you know before others obsolete it and profit by creating the challenges and opportunities others haven't even thought about -- Dr. Yogesh Malhotra, in Inc. Technology Interview"
    - U.S. Defense Information Systems Agency Interoperability Directorate

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    Top-3 Most Influential Scholars-Practitioners
    in Knowledge Management
    (Ranked in Drexel University Global Survey of IS Practice)

    Vision Korea Campaign Keynotes
    Dr. Yogesh Malhotra among other 'Vision Korea' National Campaign Keynote Speakers in Vision Korea National Campaign (2000): Dr.Charles Lucier of Booz Allen Hamilton, Dr.David Snowden of IBM, Dr.Robert H. Buckman of Buckman Labs, Dr.Hubert Saint-Onge of Canadian Imperial Bank of Commerce, Professor Dr.Ikujiro Nonaka of Hitotsubashi University

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    Pioneered Knowledge Management Digital Transformation Practices
    Led Global Virtual Team of 200-PhD Experts & CxOs to Publish Pioneering Research

    CyberspaceOrganizations
    Published in 2000
    CyberspaceBusinessModels
    Published in 2001

    CyberspaceBusinessModels
    Journal Articles & Reports 1993-Present
    Published independent Study paper on computer graphics image compression standards for hypermedia computing technologies, the precursor of WWW, on MBA graduate research fellowship with B2B pioneer and full tuition scholarship in 1993.

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    Developed Top Digital Research Site, Search Engine, & Social Network

    Top-Ranked Digital Research Site: Computerworld Best Web Site Award

    Top-3 Search Engine: Carnegie Mellon University Industry.Net National Awards

    Top-10 Social Network: Popular Rankings after LinkedIn
    Led Global Virtual Community of Practice of 130,000+ to Pioneer Digital Transformation Practices
    Millions of worldwide users included Global-2000 Corporations and G-20 World Governments.

    Top3SearchEngineBRINT

    Top-3 Search Engines Ranked in the Carnegie Mellon University: National Industry.Net Awards

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