Chaos theory, economics and information: the implications for strategic decision-making

Citation
T. Hayward et J. Preston, Chaos theory, economics and information: the implications for strategic decision-making, J INF SCI, 25(3), 1999, pp. 173-182
Citations number
36
Categorie Soggetti
Library & Information Science
Journal title
JOURNAL OF INFORMATION SCIENCE
ISSN journal
01655515 → ACNP
Volume
25
Issue
3
Year of publication
1999
Pages
173 - 182
Database
ISI
SICI code
0165-5515(1999)25:3<173:CTEAIT>2.0.ZU;2-W
Abstract
Traditionally, rational models of decision-making assume perfect informatio n is available to the manager. In reality, the paradox of rationality is th at full information relates only to the past; choices for the future must b e of limited rationality as the future contains both risk and uncertainty. An analysis of rationality and uncertainty in relation to decision-making, therefore leads to a consideration of Chaos Theory. Whilst recognising that the future is unknowable, nonetheless, Chaos Theory allows for the possibi lity of an awareness of a range of future states. In addition, it suggests that complete and accurate information, so necessary for rational decision- making, is unobtainable, and the past is not an accurate guide to the futur e. Thus, the terms of reference for strategic management should be changed; co nditions must be created whereby effective learning takes place, from which new strategies may or may not emerge. Managers should not problem-solve th eir way out of chaos, instead, generate bold solutions which integrate all the information. Information is thus activating a process by which strategy can emerge from across all levels of the organisation, to provide at least some structured futures thinking.