Modeling Complex Systems for Organizational Analysis: Towards Understanding the Object of Study/Management Intervention

Organization in Actual Episodes of Work: Harvey Sacks and Organization Studies

Organization Studies ◽

10.1177/0170840608088766 ◽

2008 ◽

Vol 29 (5) ◽

pp. 763-791 ◽

Cited By ~ 21

Author(s):

Nick Llewellyn

Keyword(s):

Real Time ◽

General Notion ◽

Organizational Analysis ◽

Organization Studies ◽

Face To Face ◽

Central Object ◽

Fine Grained ◽

Harvey Sacks ◽

Object Of Study ◽

Sales Encounter

This paper explores the relevance of Harvey Sacks' work for contemporary organization studies. Sacks encourages analysts to tether their studies to real-time workplace activities; ordinary scenes of work are recorded, slowed down and made the central object of study. Something of Sacks' analytic mentality and style are illustrated through the analysis of two data extracts: an emergency 999 call and a face-to-face sales encounter. A distinctive way of doing organizational analysis is discussed that foregrounds knowledgeability and agency via the examination of sequence and method. Sacks raises the possibility that organization might be recoverable from the fine-grained detail of actual episodes. The idea that order, intelligibility and the constitution of social scenes might have a basis aside from the more general notion of discourse is discussed.

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Complex systems modeling with intelligent control elements

International Journal of Modeling Simulation and Scientific Computing ◽

10.1142/s179396231750009x ◽

2017 ◽

Vol 08 (01) ◽

pp. 1750009 ◽

Cited By ~ 18

Author(s):

Alina Zamula ◽

Sergii Kavun

Keyword(s):

Complex Systems ◽

Commercial Bank ◽

Intelligent Control ◽

Banking System ◽

Research Subject ◽

Production Rules ◽

Fuzzy Variables ◽

Fuzzy Models ◽

Process Operation ◽

Object Of Study

The approach to managing complex systems through the usage of fuzzy technology in combination with the system-dynamic modeling is improved. The methods of system dynamics and artificial intelligence represented the research subject. Object of study includes process operation of complex systems. For the experiment selected banking system (BS) and commercial bank (CB) as its subsystem. The mathematical models of the BS and CBs are developed; elements of intelligent control are formalized. The knowledge base in the form of production rules is designed in the paper. Functions of fuzzy variables and their parameters are selected for building fuzzy models using Mamdani and Sugeno algorithms. The control impact and the functioning of intellectual decision support system for the prediction task are studied. The efficiency of scientific research on the example of the Ukrainian BS is evaluated.

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