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Accountability in Assertive Decisions Making

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Advances in Human Factors, Business Management and Leadership (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1209))

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Abstract

This scientific investigation is a proposal regarding managerial skills for decision making, in the context of emotional intelligence. The objective is to investigate the influence that accountability has on assertive decision-making in all areas and at all hierarchical levels of an SMB in the hospital sector in Tijuana, Baja California, México. The approach is qualitative in phenomenological design, carried out on 10 collaborators: 54.5% operative personnel, 18% support personnel, and 27.5% administrative area. The measurement instruments are focus groups and questionnaires to measure accountability. The data analysis is using descriptive statistics, SPSS version 22 program, and coding tables. The results show that 100% of the collaborators are not aware of the responsibility of the daily decisions and sometimes, the decision-maker prefers not to decide especially for fear of punishment. It is concluded that it is necessary to design an accountability model as a part of the continuous training requirements.

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Authors and Affiliations

  1. Advance Health Medical Center SA de CV, Diego Rivera 2339-101 A Zona Urbana Rio, Tijuana, Baja California, 22010, Mexico

    Alma Laura Bonilla-Hernández

Authors
  1. Alma Laura Bonilla-Hernández
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Correspondence to Alma Laura Bonilla-Hernández .

Editor information

Editors and Affiliations

  1. Department of Production, University of Vaasa, Vaasa, Finland

    Jussi Ilari Kantola

  2. Institute of Maritime Operations, University College of Southeast Norway, Borre, Norway

    Salman Nazir

  3. Häme University of Applied Sciences, Hämeenlinna, Finland

    Vesa Salminen

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Bonilla-Hernández, A.L. (2020). Accountability in Assertive Decisions Making. In: Kantola, J., Nazir, S., Salminen, V. (eds) Advances in Human Factors, Business Management and Leadership. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1209. Springer, Cham. https://doi.org/10.1007/978-3-030-50791-6_18

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  • DOI: https://doi.org/10.1007/978-3-030-50791-6_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50790-9

  • Online ISBN: 978-3-030-50791-6

  • eBook Packages: EngineeringEngineering (R0)

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