Ama Lawani
Naturalistic decision making and decision drivers in the front end of complex projects.
Lawani, Ama; Flin, Rhona; Ojo-Adedokun, Racheal Folake; Benton, Peter
Authors
Professor Rhona Flin r.flin@rgu.ac.uk
Professor
Dr Racheal Adedokun r.adedokun1@rgu.ac.uk
Lecturer
Peter Benton
Abstract
Decision making plays a crucial role in the front end of projects, which is a critical stage for maximising the performance of complex projects. Although it has been suggested that project managers rely more on analytical approaches to decision making as opposed to an intuitive mode, there is emerging evidence of project managers using intuitive decision processes. Yet, little is known about how this occurs during the frontend phase, with few attempts to study the underlying cognitive processes and what influences project decision making. This research gap is addressed by interviewing project managers experienced in front-end decision making (n =16) of large-scale complex projects within the oil and gas industry. Adopting a naturalistic decisionmaking (NDM) methodology and using a form of cognitive task analysis, a thematic coding of their accounts of decision making during the front end of large complex projects identified key decision processes and influencing factors (drivers). Formal analytical processes (e.g., data-driven calculations, software rating tools) were favoured, but - and in line with emerging findings - these experienced project managers also used intuitive decision-making processes, such as pattern recognition and feelings/associative memory. Decision drivers were grouped into 5 clusters - project external factors, project internal factors, social dimensions, individual differences, and time pressures. The findings suggest that project managers should be trained on how to recognise when intuitive decision making is occurring, and how to use it while being aware of its strengths, weaknesses and influencing factors. A focus on building descriptive models of actual decision making in complex environments for the training of project managers by applying NDM methods will enhance the management of the front end of projects.
Citation
LAWANI, A., FLIN, R., OJO-ADEDOKUN, R.F. and BENTON, P. 2023. Naturalistic decision making and decision drivers in the front end of complex projects. International journal of project management [online], 41(6), article 102502. Available from: https://doi.org/10.1016/j.ijproman.2023.102502
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 4, 2023 |
Online Publication Date | Aug 17, 2023 |
Publication Date | Aug 31, 2023 |
Deposit Date | Aug 10, 2023 |
Publicly Available Date | Aug 22, 2023 |
Journal | International journal of project management |
Print ISSN | 0263-7863 |
Electronic ISSN | 1873-4634 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 41 |
Issue | 6 |
Article Number | 102502 |
DOI | https://doi.org/10.1016/j.ijproman.2023.102502 |
Keywords | Project management; Complex projects; Naturalistic decision making; Intuition; Front end of projects |
Public URL | https://rgu-repository.worktribe.com/output/2035304 |
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https://creativecommons.org/licenses/by/4.0/
Copyright Statement
Crown Copyright © 2023 Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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