The effectiveness of social networks in complex adaptive working environments

Abstract

Purpose

The purpose of this paper is to examine whether working environments possessing characteristics of a complex adaptive systems (CAS), such as organizational social networks (SNs), will be perceived by the individual worker as contributing to working efficiency. The author tested whether SNs increase the workers' sharing of knowledge, sensitivity to environmental changes and synchronization of resource, which contribute to the autonomic ability to create solutions according to changing demands in turbulent environments.

Design/methodology/approach

A research questionnaire distributed online assessed the views and behaviors of 94 subjects regarding SNs. An index was formed for each of the four CAS variables (Goal compliance; Situational sensitivity; Integration of information; and Resource synchronization) to evaluate how the subjects perceive SN effectiveness.

Findings

A significant positive correlation was found between the degree of contribution to organizational working processes and the variables “Situational sensitivity” and “Integration of information”. This suggests that SNs allow workers to increase the degree of sensitivity to environmental changes; and that SNs allow a high degree of integration of information between the worker and other workers.

Originality/value

The utilization of SNs in organizations may allow quick and direct transfer of information between workers and answer immediate demands and requirements. Thus, organizations that are required to adapt to turbulent environments with high uncertainty factors and strong competition may benefit if their workers utilize SNs effectively. It can be concluded that SNs can be used as a friendly platform for the knowledge workers to update, be updated, sense environmental changes and integrate information in cooperation with other workers.

Citation

Hasgall, A.E. (2012), "The effectiveness of social networks in complex adaptive working environments", Journal of Systems and Information Technology, Vol. 14 No. 3, pp. 220-235. https://doi.org/10.1108/13287261211255338