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A Bayesian Network for Improving Organizational Regulations Effectiveness: Concurrent Modeling of Organizational Resilience Engineering and Macro-Ergonomics Indicators

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 8))

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Abstract

This study presents a novel Bayesian Network (BN) based model for improving organizational regulations effectiveness (OREF) through concurrent modelling of organizational resilience engineering (ORE) and macro-ergonomics (ME) indicators in an organization. Six indicators namely teamwork, preparedness, fault tolerance, flexibility, redundancy and self-organization are considered as representatives of ORE. The macro-ergonomics indicators considered in this study are redesign, decision-making pace and information flow. The construction of the proposed model is composed of five steps. The BN is then used to track the status of OREF by considering ORE and ME indicators. Since these indicators represent the nodes of the Bayesian Network, in the first step they have been selected and confirmed by experts to be further considered in the model. The causal relationships between the nodes are acquired through aggregating experts’ opinions by using the Dempster-Shafer theory.

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Authors and Affiliations

  1. School of Industrial Engineering, University of Tehran, Tehran, Iran

    A. Azadeh & M. Partovi

  2. School of Business, UNSW Canberra, Canberra, Australia

    A. Azadeh, M. Saberi, Elizabeth Chang & Omar Hussain

Authors
  1. A. Azadeh
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  2. M. Partovi
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  3. M. Saberi
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  4. Elizabeth Chang
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  5. Omar Hussain
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Corresponding author

Correspondence to M. Saberi .

Editor information

Editors and Affiliations

  1. Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, Ryerson University, Toronto, Ontario, Canada

    Isaac Woungang

  3. School of Business, UNSW Australia, Canberra, Aust Capital Terr, Australia

    Omar Khadeer Hussain

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Azadeh, A., Partovi, M., Saberi, M., Chang, E., Hussain, O. (2018). A Bayesian Network for Improving Organizational Regulations Effectiveness: Concurrent Modeling of Organizational Resilience Engineering and Macro-Ergonomics Indicators. In: Barolli, L., Woungang, I., Hussain, O. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-65636-6_25

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  • DOI: https://doi.org/10.1007/978-3-319-65636-6_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65635-9

  • Online ISBN: 978-3-319-65636-6

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