Title:Organization Network Analysis for Study of Employee Techno-Social Connects and Effect of Human Behavior and Organizational Culture on the Underlying Network
Tags:Active ONA, Human Behavior, Organization Network Analysis and Organization Structure / Hierarchy
Abstract:
Biophilia hypothesis, suggests humans possess an innate tendency to seek social connections with all forms of life. Connection is understood as a core human need. Same is applicable for a population in any of the organization or establishment where conversation and communication are fundamental ingredients of connectedness. Inspired by this, our work uses Organizational Network Analysis (ONA) which is an established method for studying modern insight to enable strategies for exchange of ideas and information within an Organization. Existing relationship(s) amongst employees and effect of organizational culture on the underlying social network within an organization are visualized. we further analyze the impact of employee demographics & organizational hierarchy on the network of employee connects. This paper discusses various network findings, including, overall network view, relations between employees, shortest paths between any two employees, degree of centrality, eigenvector centrality and most influential employee and statistically relates these findings to employee demography and analyzes impact of organization structure along with human behavior. Python NETWORKX package has been used for all processing. There is wide applicability of the work within a large and growing organization, global establishments. HR Function may make use of ONA for their diversity and inclusion goals and these findings can help them in aligning the same to arrive at more realistic insights
Organization Network Analysis for Study of Employee Techno-Social Connects and Effect of Human Behavior and Organizational Culture on the Underlying Network
Organization Network Analysis for Study of Employee Techno-Social Connects and Effect of Human Behavior and Organizational Culture on the Underlying Network