*Projects *Goldman Sachs *JP Morgan *Wall Street Hedge Funds *Quant Finance Book *Princeton Presentation *Research *Publications *Ventures
*Future of Risk *Cyber Risk Insurance *Cyber Finance *Bitcoin Protocol *Bayesian vs. VaR *Markov Chain Monte Carlo *Model Risk Management
*Princeton Quant Trading Conference: Future of Finance Beyond 'Flash Boys': Invited Research Presentation: Computational Quantitative Risk Analytics.
*SSRN's Top Ten Papers: 20 Quantitative Finance-Risk Analytics Top-10 Rankings in 11 Weeks... Stochastic, Econometric, Mathematical Risk Modeling.
*Advancing Computational Quantitative Analytics Finance & Risk Modeling to post-HFT era Cyber Finance for Information-based Uncertainty Arbitrage.
*Advancing Cybersecurity Risk Insurance Modeling Practices in Quantitative Finance, Model Risk Management & Advanced Data Science Analytics.

What is Knowledge Management?
From Recent Peer-Reviewed Journals and Books

More perspectives are available in:


What was Knowledge Management?
Technology-Centric Interpretations Popular Until About 1995

Policies, procedures and technologies employed for operating a continuously updated linked pair of networked databases (Anthes 1991).

Bringing tacit knowledge to the surface, consolidating it in forms by which it is more widely accessible, and promoting its continuing creation (Birkett 1995).

Ensuring a complete development and implementation environment designed for use in a specific function requiring expert systems support (Chorafas 1987).

Processes of capturing, distributing, and effectively using knowledge (Davenport 1994).

Creation, acquisition and transfer of knowledge and modification of organizational behavior to reflect new knowledge and insights (Garvin 1994).

Identification of categories of knowledge needed to support the overall business strategy, assessment of current state of the firm's knowledge and transformation of the current knowledge base into a new and more powerful knowledge base by filling knowledge gaps (Gopal & Gagnon 1995).

Finding out how and why information users think, what they know about the things they know, the knowledge and attitudes they possess, and the decisions they make when interacting with others (Hannabuss 1987).

Mapping knowledge and information resources both on-line and off-line; Training, guiding and equipping users with knowledge access tools; Monitoring outside news and information (Maglitta 1995).

Understanding the relationships of data; Identifying and documenting rules for managing data; and Assuring that data are accurate and maintain integrity (Strapko 1990).

Facilitation of autonomous coordinability of decentralized subsystems that can state and adapt their own objectives (Zeleny 1987).

References

Anthes, G.H. "A Step Beyond a Database," Computerworld, 25(9), 1991, p. 28.

Birkett, B. "Knowledge Management," Chartered Accountants Journal of New Zealand, Feb 1995, 74(1), pp. 14-18.

Chorafas, D.N. "Expert Systems at the Banker's Reach," International Journal of Bank Marketing, 5(4), 1987, pp. 72-81.

Davenport, T.H. "Coming Soon: The CKO," InformationWeek, September 5, 1994.

Garvin, D.A. "Building a Learning Organization," Business Credit, 96(1), January 1994, pp. 19-28.

Gopal, C. & Gagnon, J. "Knowledge, Information, Learning and the IS Manager," Computerworld (Leadership Series), 1(5), 1995, pp. 1-7.

Hannabuss, S. "Knowledge Management," Library Management, 8(5), 1987, pp. 1-50.

Maglitta, J. "Smarten Up!," Computerworld, 29(23), June 5 1995, pp. 84-86.

Strapko, W. "Knowledge Management," Software Magazine, 10(13), 1990, pp. 63-66.

Zeleny, M. "Management Support Systems," Human Systems Management," 7(1), 1987, pp. 59-70.



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