Assessing organizational cohesion by the maximum caliber method

Purpose The aim of this paper is to explore the conditions under which organizational networks achieve high levels of cohesion. It focuses on understanding the roles of interaction cycles, feedback loops and asymmetries in fostering cohesive networks. The study examines how the application of line integrals in closed paths can reveal insights into the cycles and feedback mechanisms influencing cohesion within these networks. Design/methodology/approach This research uses the maximum caliber method to quantify organizational cohesion through the analysis of interactivity matrices. This approach integrates temporal dynamics and accounts for the complex interdependencies among actors within the network. The study is supported by a case study analysis, which demonstrates the practical application of these theoretical concepts in a real-world organizational context. Findings The application of the maximum caliber method offers a comprehensive understanding of organizational cohesion by effectively capturing the dynamic interactions within the network. The study reveals that cycles and feedback mechanisms within the network significantly affect cohesion, with interaction asymmetries playing a crucial role. The method also enables the identification of actors who contribute positively or negatively to cohesion, providing actionable insights for improving organizational performance. Originality/value This paper presents a novel methodological approach to analyzing organizational cohesion, enhancing both the theoretical and practical understanding of network dynamics. The findings provide valuable insights for organizational leaders and researchers, emphasizing the importance of managing interaction patterns to strengthen overall network cohesion and effectiveness. This approach offers a new perspective on measuring and influencing organizational cohesion, with significant implications for strategic management and organizational development.

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Publication Details

Journal
Kybernetes
Published
2024-12-10
DOI
https://doi.org/10.1108/k-07-2024-1962
Citations
1
Primary Topic
Ecosystem dynamics and resilience
Type
article
Field-Weighted Citation Impact
0.28
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article

Assessing organizational cohesion by the maximum caliber method

Leonardo Lavanderos, Eduardo S. Fiol, Abelardo Araya
1 citations
Kybernetes
Ecosystem dynamics and resilience
0.28
article

Assessing organizational cohesion by the maximum caliber method

Leonardo Lavanderos, Eduardo S. Fiol, Abelardo Araya
article en
1 citations

Abstract

Purpose The aim of this paper is to explore the conditions under which organizational networks achieve high levels of cohesion. It focuses on understanding the roles of interaction cycles, feedback loops and asymmetries in fostering cohesive networks. The study examines how the application of line integrals in closed paths can reveal insights into the cycles and feedback mechanisms influencing cohesion within these networks. Design/methodology/approach This research uses the maximum caliber method to quantify organizational cohesion through the analysis of interactivity matrices. This approach integrates temporal dynamics and accounts for the complex interdependencies among actors within the network. The study is supported by a case study analysis, which demonstrates the practical application of these theoretical concepts in a real-world organizational context. Findings The application of the maximum caliber method offers a comprehensive understanding of organizational cohesion by effectively capturing the dynamic interactions within the network. The study reveals that cycles and feedback mechanisms within the network significantly affect cohesion, with interaction asymmetries playing a crucial role. The method also enables the identification of actors who contribute positively or negatively to cohesion, providing actionable insights for improving organizational performance. Originality/value This paper presents a novel methodological approach to analyzing organizational cohesion, enhancing both the theoretical and practical understanding of network dynamics. The findings provide valuable insights for organizational leaders and researchers, emphasizing the importance of managing interaction patterns to strengthen overall network cohesion and effectiveness. This approach offers a new perspective on measuring and influencing organizational cohesion, with significant implications for strategic management and organizational development.

KybernetesVol. 55(2)
Adolfo Ibáñez University (CL), Universidad Internacional (MX), Universidad de Playa Ancha de Ciencias de la Educación (CL), Production Development Corporation (CL), Tecnológico de Monterrey (MX)
Partnerships for the goals
Openalex Percentile: Top 40%
Ecosystem dynamics and resilience
0.28
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