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EN
Using social network analysis for the studies of organizational structure allows to understand in more details the ways of real organizing of employees. The manner in which people work is the quotidian knowledge that is often not realized very well but it is essential for effective performance of a company. The article presents the research process that results in a picture of organizational structure reflected as the network of connections between employees. The studies are usually conducted with survey questions that are presented in the article (cooperation, information flow, the flow of knowledge and problem-solving, and finally the decision flow) and interpreted in the context of the analysis made in a real company. The network structure of an innovative IT company (125 employees) consisting of 3097 connections has been visualized and analyzed. We tested the assumptions regarding the degree of company integration, the level of centralization in decision making process, the way of task coordination and the possible blockages in the flow of knowledge. We also highlighted employees that were important in these areas and specified their roles.
XX
Every organizational change is considered a big challenge. Even having assured enough of the resources needed to drive the change successfully, there is also the necessity to choose the people who would be able to properly lead the change. Organizational network analysis provides some techniques and methods that help in visualizing the informal organizational structure. In the following paper some of these will be presented with the emphasis on showing the potentially key persons for the change that is planned to be developed. In the presented case study one large company was examined. The aim of the article is to analyse the problem of choosing the right people to drive change. In order to select potential change leaders there is an algorithm proposed which takes into consideration two aspects. Namely, the intensity of the archetypical leadership value of the actor, and the actor’s position in the informal network. The results confirm that a relatively small group of change leaders can directly reach the majority of employees, which is one of the crucial factors for the change to succeed. The visualizations used in the study can shorten the time needed to find the right people to drive the change, and also reduce the probability of wrong guesses provided by the intuition.
EN
Lome.io is cloud based software for collecting and analyzing network data. It integrates the process of collecting network data designed to support the most common organizational network studies with online network analysis module. It uses a highly customizable survey module to collect data that are connected to online network visualization and statistics modules, hence fully supporting the organizational and social network analysis (ONA, SNA) research process in a cloud. We present several key features of lome.io software in the context of organizational network analysis studies.
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