Soft Skills for Teams in Public Linear Infrastructure: The Development of a Decision Support Tool

Despite the plethora of digital and technological advances made in the construction industry over the past three decades, at its core, the sector remains human-centric. Consequently, this research investigates the core soft skills employed on public linear infrastructure (PLI) projects (during the construction phase) that are digitally enabled and concludes with the development of a decision support tool for PLI project team management. A mixed philosophical stance is implemented using interpretivism, postpositivism and grounded theory together with abductive reasoning to examine subject matter experts’ perceptions of the phenomena under investigation. Textual analysis is then utilised to formulate a decision support tool as a theoretical construct. The research findings demonstrate that communication, leadership and creativity/curiosity are the three main soft skills required of PLI projects. Furthermore, the key elements of a decision support tool—namely, trackable and measurable data, clear objectives and success criteria, and an easy-to-understand visual format—were identified. Such knowledge provides a strong base for building an emotionally intelligent project team. This research constitutes the first attempt to understand the essential soft skills required on PLI projects and, premised upon this, generate a decision support tool for project management in teams that helps to augment project performance through workforce investment via a learning organisation.

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Publication Details

Journal
Buildings
Published
2025-04-05
DOI
https://doi.org/10.3390/buildings15071197
Citations
3
Primary Topic
Collaboration in agile enterprises
Type
article
Field-Weighted Citation Impact
8.28

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article

Soft Skills for Teams in Public Linear Infrastructure: The Development of a Decision Support Tool

John Posillico, David John Edwards, Hilary Davies
3 citations
Buildings
Collaboration in agile enterprises
8.28
article

Soft Skills for Teams in Public Linear Infrastructure: The Development of a Decision Support Tool

John Posillico, David John Edwards, Hilary Davies
article en
3 citations

Abstract

Despite the plethora of digital and technological advances made in the construction industry over the past three decades, at its core, the sector remains human-centric. Consequently, this research investigates the core soft skills employed on public linear infrastructure (PLI) projects (during the construction phase) that are digitally enabled and concludes with the development of a decision support tool for PLI project team management. A mixed philosophical stance is implemented using interpretivism, postpositivism and grounded theory together with abductive reasoning to examine subject matter experts’ perceptions of the phenomena under investigation. Textual analysis is then utilised to formulate a decision support tool as a theoretical construct. The research findings demonstrate that communication, leadership and creativity/curiosity are the three main soft skills required of PLI projects. Furthermore, the key elements of a decision support tool—namely, trackable and measurable data, clear objectives and success criteria, and an easy-to-understand visual format—were identified. Such knowledge provides a strong base for building an emotionally intelligent project team. This research constitutes the first attempt to understand the essential soft skills required on PLI projects and, premised upon this, generate a decision support tool for project management in teams that helps to augment project performance through workforce investment via a learning organisation.

BuildingsVol. 15(7)
Birmingham City University (GB), University of Johannesburg (ZA), Highways England (GB), Nelson Mandela University (ZA)
Birmingham City University
Openalex Percentile: Top 4%
Collaboration in agile enterprises
8.28
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Soft Skills for Teams in Public Linear Infrastructure: The Development of a Decision Support Tool — John Posillico, David John Edwards, et al. · Buildings (2025) | TGRS Research Map | TGRS