Dispersed knowledge

Dispersed knowledge in economics is the notion that no single agent has information as to all of the factors which influence prices and production throughout the system.[1]

Overview

Each agent in a market for assets, goods, or services possesses incomplete knowledge as to most of the factors which affect prices in that market. For example, no agent has full information as to other agents' budgets, preferences, resources or technologies, not to mention their plans for the future and numerous other factors which affect prices in those markets.[2]

Market prices are the result of price discovery, in which each agent participating in the market makes use of its current knowledge and plans to decide on the prices and quantities at which it chooses to transact. The resulting prices and quantities of transactions may be said to reflect the current state of knowledge of the agents currently in the market, even though no single agent commands information as to the entire set of such knowledge.[3]

Some economists believe that market transactions provide the basis for a society to benefit from the knowledge that is dispersed among its constituent agents. For example, in his Principles of Political Economy, John Stuart Mill states that one of the justifications for a laissez faire government policy is his belief that self-interested individuals throughout the economy, acting independently, can make better use of dispersed knowledge than could the best possible government agency.[4]

Criticism

Karl Marx believed that market profits entail "cheating, deceit, inside knowledge, skill and a thousand favourable market opportunities" and that market prices do not reflect the true values of the underlying commodities and assets.[5]

Key characteristics

Friedrich Hayek claimed that "dispersed knowledge is essentially dispersed, and cannot possibly be gathered together and conveyed to an authority charged with the task of deliberately creating order".[6]

Phenomena

Drivers

  1. Large numbers: Large numbers have a great impact on actions in terms of two aspects. On the one hand, there will be an increase in time and other resource requirements. On the other hand, actors with bounded cognitive resources will lose overview.
  2. Asymmetries: Asymmetries have a two-sides effect. Firstly, asymmetries enable more possibilities regarding learning and competence development. Secondly, asymmetries "increase differences between interpretative frameworks and the knowledge and competence profile of the different actors and thus make integration more difficult".
  3. Uncertainty: Uncertainty is defined to be one of the drivers of dispersed knowledge which can give rise to management problems.[8]

Uncertainty

Dispersed knowledge will give rise to uncertainty which will lead to different kinds of results.

Richard LeFauve highlights the advantages of organizational structure in companies:

"Before if we had a tough decision to make, we would have two or three different perspectives with strong support of all three. In a traditional organization the bossman decides after he’s heard all three alternatives. At Saturn we take time to work it out, and what generally happens is that you end up with a fourth answer which none of the portions had in the first place. but one that all three portions of the organization fully support (AutoWeeR, Oct. 8, 1990. p. 20)."

Companies are supposed to think highly of the dispersed knowledge and make adjustments to meet demands.[9]

Tsoukas stated:

"A firm’s knowledge is distributed, not only in a computational sense . . . or in Hayek’s (1945, p. 521) sense that the factual knowledge of the particular circumstances of time and place cannot be surveyed as a whole. But, more radically, a firm’s knowledge is distributed in the sense that it is inherently indeterminate: nobody knows in advance what that knowledge is or need be. Firms are faced with radical uncertainty: they do not, they cannot, know what they need to know."[10]

Strategies

There are several strategies targeting at the problems caused by dispersed knowledge.

First of all, replacing knowledge by getting access to knowledge can be one of the strategies.[11][12]

What's more, the capability to complete incomplete knowledge can deal with knowledge gaps created by the dispersed knowledge.

In addition, making a design of institutions with reasonable coordination mechanisms can be regarded as the third strategy.[13]

Besides, resolving organization units into smaller ones should be taken into consideration.[14]

Last but not least, providing more data to decision maker will be helpful for making a correct decision.

See also

References

  1. Hayek, Friedrich (1 September 1945). "The use of knowledge in society". The American Economic Review. American Economic Association. 35 (4): 519–530. ISSN 0002-8282. JSTOR 1809376.
  2. Hayek, Friedrich (1973). Law, Legislation and Liberty. University of Chicago Press. pp. 11–16, 42, 51. ISBN 0-226-32086-3.
  3. Menger, Carl; Louis, Schneider (1963). Problems of Economics and Sociology. University of Illinois Press.
  4. Mill, John Stuart (1909). Ashley, William James, ed. Principles of Political Economy (7th ed.). London: Longmans, Green and Co.
  5. Marx, Karl (1894). Capital. Vol. III, Part 7, Ch. 48.
  6. Hayek, Friedrich (1988). The fatal conceit: The errors of socialism. London: Routledge. ISBN 0415008204.
  7. Dew, Nicholas; Velamuri, S. Ramakrishna; Venkataraman, Sankaran (2004). "Dispersed knowledge and an entrepreneurial theory of the firm". Journal of Business Venturing. 19 (5): 659–679. doi:10.1016/j.jbusvent.2003.09.004. ISSN 0883-9026.
  8. Becker, Markus C (2001). "Managing Dispersed Knowledge: Organizational Problems, Managerial Strategies, and Their Effectiveness". Journal of Management Studies. 38 (7): 1037. doi:10.1111/1467-6486.00271. ISSN 0022-2380.
  9. Minkler, Alanson P (1993). "The Problem with Dispersed Knowledge: Firms in Theory and Practice". Kyklos. 46(4) (4): 569–587. doi:10.1111/j.1467-6435.1993.tb00499.x. ISSN 0023-5962.
  10. Tsoukas, Haridimos (1996). "The firm as a distributed knowledge system: A constructionist approach". Strategic Management Journal. 17: 11–25. doi:10.1002/smj.4250171104. ISSN 0143-2095.
  11. Cohen, Wesley M; Levinthal, Daniel A (1990). "Absorptive Capacity: A New Perspective on Learning and Innovation". Administrative Science Quarterly. 35 (1): 128–152. doi:10.2307/2393553. ISSN 0001-8392. JSTOR 2393553.
  12. Nahapiet, Janine; Ghoshal, Sumantra (1998). "Social capital, intellectual capital, and the organizational advantage". The Academy of Management Review. 23 (2): 242–266. ISSN 0363-7425. JSTOR 259373.
  13. Burkley, Peter J; Carter, Martin J (1999). "Managing Cross-Border Complementary Knowledge: Conceptual Developments in the Business Process Approach to Knowledge Management in Multinational Firms". International Studies of Management & Organization. 29 (1): 80–104. ISSN 0020-8825. JSTOR 40397436.
  14. Luce, R Duncan; Howard, Raiffa (1957). Games and decisions : introduction and critical survey. New York: Dover Publications. ISBN 0486659437.
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