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  • Please use this identifier to cite or link to this item: http://repositorio.uti.edu.ec//handle/123456789/3110
    Title: Analysis of organizational power networks through a holistic approach using consensus strategies
    Authors: Ramos, Valentina
    Franco-Crespo, Antonio
    González-Pérez, Lien
    Guerra, Yasel
    Ramos-Galarza, Carlos
    Pazmiño, Pablo
    Tejera, Eduardo
    Issue Date: 2019
    Publisher: Heliyon. Volume 5, Issue 2
    Abstract: Power is one of the most complex organizational attributes to understand due to the multiple related variables and dimensions in which it appears. The ownership and use and of power are reflected in the interpersonal relationships within an organization, as a result, modeling its structure and interactions can lead to knowledge about the power networks that shape it. The objective of this study was to identify the behavior of organizational networks based on existing sources of power, using a consensual analysis of the different topologies present in these networks. The study was carried out in a private production company in Ecuador, which has representation at a domestic level. To this end, a 12-question personalized questionnaire was designed with the aim of identifying specific networks and was applied to 1190 workers in the company. The results were obtained using organizational network analysis and a consensus strategy to integrate the centralities found in multiple networks into one. This study can serve as a reference to organizations, so they can know the relationships between people within it, as part of their management process. In this way, the identification of people within power networks is useful for knowing the “key” actors in the promotion of organizational changes, as well as for the development of career plans based on the position that people occupy in the organizational system.
    URI: https://www.sciencedirect.com/science/article/pii/S2405844018359255
    http://repositorio.uti.edu.ec//handle/123456789/3110
    Appears in Collections:Artículos Científicos Indexados

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