scholarly journals THE ADOPTION OF MANAGEMENT CONTROLS FROM A COMPLEX ADAPTIVE SYSTEMS PERSPECTIVE

2021 ◽  
Vol 7 (1) ◽  
pp. 5-24
Author(s):  
Joshua Mandre ◽  
◽  
James Kagaari ◽  
Levi Kabagambe ◽  
Joseph Ntayi ◽  
...  

The purpose of this paper is to investigate whether self-organisation predicts of adoption of management controls in manufacturing firms. The study employed the lens of complex adaptive systems theory to investigate the research question. The study used a cross-sectional survey to collect data from 202 manufacturing firms with the use of a multi-dimensional self-administered questionnaire Data were analyzed quantitatively using PLS-SEM. The findings indicate a positive relationship between innovativeness, emergence and adoption of management controls. The hypothesis for networks of interaction was not supported.

Author(s):  
Peter R. Monge ◽  
Noshir Contractor

To date, most network research contains one or more of five major problems. First, it tends to be atheoretical, ignoring the various social theories that contain network implications. Second, it explores single levels of analysis rather than the multiple levels out of which most networks are comprised. Third, network analysis has employed very little the insights from contemporary complex systems analysis and computer simulations. Foruth, it typically uses descriptive rather than inferential statistics, thus robbing it of the ability to make claims about the larger universe of networks. Finally, almost all the research is static and cross-sectional rather than dynamic. Theories of Communication Networks presents solutions to all five problems. The authors develop a multitheoretical model that relates different social science theories with different network properties. This model is multilevel, providing a network decomposition that applies the various social theories to all network levels: individuals, dyads, triples, groups, and the entire network. The book then establishes a model from the perspective of complex adaptive systems and demonstrates how to use Blanche, an agent-based network computer simulation environment, to generate and test network theories and hypotheses. It presents recent developments in network statistical analysis, the p* family, which provides a basis for valid multilevel statistical inferences regarding networks. Finally, it shows how to relate communication networks to other networks, thus providing the basis in conjunction with computer simulations to study the emergence of dynamic organizational networks.


Author(s):  
Callum Brown

Understanding the dynamic behaviour of organisations is challenging and this study uses a model of complex adaptive systems as a generative metaphor to address this challenge. The research question addressed is: How might a conceptual model of complex adaptive systems be used to assist in understanding the dynamic nature of organisations? Using an action research methodology, 6 Ai r Force internal management consulting teams were exposed to overlapping attributes of complex adaptive systems. The study shows that participants found the attributes valuable in understanding the dynamic nature of organisations; however they did present challenges for understanding. Despite being challenging to understand, using complex adaptive systems to understand organisations, particularly as dynamic systems, is of value.


2016 ◽  
Vol 52 (2) ◽  
pp. 66-86 ◽  
Author(s):  
Anand Nair ◽  
Tingting Yan ◽  
Young K. Ro ◽  
Adegoke Oke ◽  
Todd H. Chiles ◽  
...  

2020 ◽  
Vol 17 (4) ◽  
pp. 857-870
Author(s):  
Dimitrios Karolidis ◽  
Fotis Vouzas ◽  
Konstantinos Kafetsios ◽  
Victoria Bellou

Sign in / Sign up

Export Citation Format

Share Document