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Dissipative structure theory, synergetics, and their implications for the management of information systems

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  • Ziming Liu

Abstract

Dissipative structure theory and synergetics have far‐reaching implications for self‐organizing phenomena in many diverse fields. This article attempts to apply them in the management of information systems. It begins with a brief review of dissipative structure theory and synergetics, and then demonstrates why they could be applied in information systems. Orderliness is pervasive and of central importance in the operation of information systems. Information science can be regarded as a science about knowledge ordering with the goal of making information more accessible to potential users. Five types of entropy in information systems are analyzed. The relationship between dissipative structure theory and traditional management theories are also discussed. Implications for the management of information systems include: maintaining the system in the state of non‐equilibrium, openness towards change, stimulating dynamic cooperative behavior, and selectively amplifying fluctuation. © 1996 John Wiley & Sons, Inc.

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  • Ziming Liu, 1996. "Dissipative structure theory, synergetics, and their implications for the management of information systems," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 47(2), pages 129-135, February.
    • Handle: RePEc:bla:jamest:v:47:y:1996:i:2:p:129-135
    DOI: 10.1002/(SICI)1097-4571(199602)47:23.0.CO;2-0
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    1. Zhao, Jianyu & Wu, Guangdong & Xi, Xi & Na, Qi & Liu, Weiwei, 2018. "How collaborative innovation system in a knowledge-intensive competitive alliance evolves? An empirical study on China, Korea and Germany," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 128-146.
    2. Xing, Yunfei & Wang, Xiwei & Qiu, Chengcheng & Li, Yueqi & He, Wu, 2022. "Research on opinion polarization by big data analytics capabilities in online social networks," Technology in Society, Elsevier, vol. 68(C).
    3. Jiangnan Qiu & Min Zuo & Jingxian Wang & Chengjie Cai, 2021. "Knowledge order in an online knowledge community: Group heterogeneity and two paths mediated by group interaction," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(8), pages 1075-1091, August.

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