Systems as the base of complex organizational modeling: techno-socio-cultural inter-connectivity


The objectives of systems modeling include representing the main functionalities of interconnected elements as well as supporting the redesign, improvement, and introduction of innovations in real operations systems. In systems modeling, there are several fields of research that can be grouped into two main approaches: functionalist and interpretative. In the functionalist perspective, the system is represented by quantitative methods for studying and simulating its performance under various operational conditions; the main objective of this perspective is to improve the efficiency and effectiveness of the operations.

Alternatively, the interpretative approach aims to understand the phenomenon studied. This approach emphasizes the necessity of multiple perceptions of reality, all of which can be obtained over the course of the study. System Theories has developed several branches due to the increasing necessity of representing the complexity found in real problems.

The complex systems orientation is usually based on strong mathematical foundations; however, some of its general principles can be applied. Morin’s main principles of complex thinking can be correlated with the current challenges for managing global organizations. The first principle maintains that information has meaning in a specific context. Secondly, reductionist thinking and knowledge compartmentalization can promote a misunderstanding of the systemic effects and minimize the importance of a multifaceted analysis. Finally, the part of reality that is under investigation should not be isolated from its context. Any international operations study should be interdisciplinary and should take into account the local semantics and behaviors for providing coordinated activities in an integrated worldwide network.

The global “techno-socio-cultural interconnectivity” has intensified the complexity of organizational studies. An isolated investigation approach, or one that only considers technological or operational aspects of a problem, should be discouraged. Complex thinking assists in the representation of stakeholder attitudes during a global project. Since their development, systemic thinking and complexity principles, especially interpretative approaches, have prompted multiple perspectives of analysis in several studies. By encouraging the diversification of perspectives, the field of analysis should be motivated to add socio-cultural and cross-cultural aspects to the commonly used technological and operational dimensions.

References:

  • Michael Pidd, Systems Modelling: Theory and Practice. New York, NY: Wiley, 2004.

  • C. M. Jackson, Systems Approaches to Management. New York: Springer, 2000.

  • J. Checkland, "Soft System Methodology," in Rational Analysis for a Problematic World: Problem Structuring Methods for Complexity, Uncertainty and Conflict, Jonathan Rosenhead, Ed. Chichester: John Wiley, 1989, pp. 71-100.

  • S. Leleur, "Systems Science and Complexity: Some Proposals for Future Development," Systems Research and Behavioral Science, vol. 25, pp. 67-79, 2008.

  • E. Morin, "The necessity of a complex thinking," in To Set a Journey in the XXI Century: Technologies of the Imaginary and Ciberculture, Francisco Menezes Martins and Juremir Machado da Silva, Eds. Porto Alegre: Sulinas/Edipucrs, 2003, ch. 2.

#Multiculturalmanagement #InformationandTelecommunicationtechnologies #Organizationalbehavior #SystemThinking

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