Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation

Investment decisions of leaders and managers influence the adoption and use of digital technologies that then transform their organization’s products, services, and operations. To foster transformation, project management methods are commonly used. However, project failure rates often exceed success...

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Main Authors: Wilson, Arthur, Carey, Brad, Buckley, Amma
Format: Conference Paper
Published: 2023
Online Access:http://hdl.handle.net/20.500.11937/93683
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author Wilson, Arthur
Carey, Brad
Buckley, Amma
author_facet Wilson, Arthur
Carey, Brad
Buckley, Amma
author_sort Wilson, Arthur
building Curtin Institutional Repository
collection Online Access
description Investment decisions of leaders and managers influence the adoption and use of digital technologies that then transform their organization’s products, services, and operations. To foster transformation, project management methods are commonly used. However, project failure rates often exceed success rates regardless of the industry sector, or project management methodology. While project success has traditionally been measured in terms of time, cost, and quality, recent research suggests that success includes the dynamic interaction between multiple actors in diverse networks. Traditional project management methods may not adequately identify and help mitigate the risks associated with complex and dynamic influence of leadership and management on project success. This study uses actor-network theory (ANT) to examine opportunities to enhance the effectiveness of leadership and management in projects and mitigating associated risks. By doing so, this study aims to provide insights into how organizations can improve project success rates.
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spelling curtin-20.500.11937-936832023-11-28T03:29:31Z Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation Wilson, Arthur Carey, Brad Buckley, Amma Investment decisions of leaders and managers influence the adoption and use of digital technologies that then transform their organization’s products, services, and operations. To foster transformation, project management methods are commonly used. However, project failure rates often exceed success rates regardless of the industry sector, or project management methodology. While project success has traditionally been measured in terms of time, cost, and quality, recent research suggests that success includes the dynamic interaction between multiple actors in diverse networks. Traditional project management methods may not adequately identify and help mitigate the risks associated with complex and dynamic influence of leadership and management on project success. This study uses actor-network theory (ANT) to examine opportunities to enhance the effectiveness of leadership and management in projects and mitigating associated risks. By doing so, this study aims to provide insights into how organizations can improve project success rates. 2023 Conference Paper http://hdl.handle.net/20.500.11937/93683 10.5220/0012153700003598 http://creativecommons.org/licenses/by-nc-nd/4.0/ fulltext
spellingShingle Wilson, Arthur
Carey, Brad
Buckley, Amma
Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation
title Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation
title_full Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation
title_fullStr Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation
title_full_unstemmed Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation
title_short Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation
title_sort enhancing leadership and management effectiveness: leveraging actor-network theory for project risk mitigation
url http://hdl.handle.net/20.500.11937/93683