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Deviation from a state of perfect uniformity: An indicator of structural complexity in projects

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  • Seyed Ashkan Zarghami

Abstract

The complexity of projects arising from interconnectedness between activities is believed to be one of the most significant challenges for managing projects. Although the literature has long appreciated the significance of measuring complexity, research on this topic is weakened by the lack of a method that accounts for a diverse set of structural characteristics of project networks. To evade this pitfall, this paper introduces the concept of perfect uniformity and develops a comprehensive measure of structural complexity in projects. The proposed method is validated by applying it in two real‐life projects. The validation results confirm that project complexity is positively associated with a higher level of deviation from a state of perfect uniformity. This research is among few studies that draw on the concept of emergence and point out the importance of a system‐level approach in project management to analyse the interdependency between multiple interconnected activities.

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  • Seyed Ashkan Zarghami, 2023. "Deviation from a state of perfect uniformity: An indicator of structural complexity in projects," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(3), pages 488-500, May.
  • Handle: RePEc:bla:srbeha:v:40:y:2023:i:3:p:488-500
    DOI: 10.1002/sres.2868
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    References listed on IDEAS

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    1. Franck Marle, 2020. "An Assistance to Project Risk Management Based on Complex Systems Theory and Agile Project Management," Complexity, Hindawi, vol. 2020, pages 1-20, October.
    2. Zarghami, Seyed Ashkan & Gunawan, Indra & Schultmann, Frank, 2018. "Integrating entropy theory and cospanning tree technique for redundancy analysis of water distribution networks," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 102-112.
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    5. Long D. Nguyen & Long Le-Hoai & Dai Q. Tran & Chau N. Dang & Chau V. Nguyen, 2019. "Effect of project complexity on cost and schedule performance in transportation projects," Construction Management and Economics, Taylor & Francis Journals, vol. 37(7), pages 384-399, July.
    6. Lin, Yun Hui & Wang, Yuan & Lee, Loo Hay & Chew, Ek Peng, 2021. "Consistency matters: Revisiting the structural complexity for supply chain networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    7. Zarghami, Seyed Ashkan & Dumrak, Jantanee, 2021. "Aleatory uncertainty quantification of project resources and its application to project scheduling," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    8. Seyed Ashkan Zarghami & Indra Gunawan & Graciela Corral de Zubielqui & Bassam Baroudi, 2020. "Incorporation of resource reliability into critical chain project management buffer sizing," International Journal of Production Research, Taylor & Francis Journals, vol. 58(20), pages 6130-6144, October.
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