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Article
Publication date: 1 December 2003

172

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Disaster Prevention and Management: An International Journal, vol. 12 no. 5
Type: Research Article
ISSN: 0965-3562

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Book part
Publication date: 7 December 2016

Arch G. Woodside

Free Access. Free Access

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Case Study Research
Type: Book
ISBN: 978-1-78560-461-4

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Article
Publication date: 1 May 2007

260

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Disaster Prevention and Management: An International Journal, vol. 16 no. 2
Type: Research Article
ISSN: 0965-3562

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Book part
Publication date: 8 September 2022

Stephen Turner

Free Access. Free Access

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Mad Hazard
Type: Book
ISBN: 978-1-80382-670-7

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Article
Publication date: 1 September 1998

John Anstey

278

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Structural Survey, vol. 16 no. 3
Type: Research Article
ISSN: 0263-080X

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Book part
Publication date: 8 September 2022

Stephen Turner

Free Access. Free Access

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Mad Hazard
Type: Book
ISBN: 978-1-80382-670-7

Available. Open Access. Open Access
Book part
Publication date: 18 July 2022

Christian Versloot, Maria Iacob and Klaas Sikkel

Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed…

Abstract

Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed for this purpose. However, analyzing GPR data is labour-intensive and repetitive. It may therefore be worthwhile to amplify this process by means of Machine Learning (ML). In this work, harnessing the ADR design science methodology, an Intelligence Amplification (IA) system is designed that uses ML for decision-making with respect to utility material type. It is driven by three novel classes of Convolutional Neural Networks (CNNs) trained for this purpose, which yield accuracies of 81.5% with outliers of 86%. The tool is grounded in the available literature on IA, ML and GPR and is embedded into a generic analysis process. Early validation activities confirm its business value.

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Book part
Publication date: 5 November 2016

Anne Sigismund Huff, Frances J. Milliken, Gerard P. Hodgkinson, Robert J. Galavan and Kristian J. Sund

This book on uncertainty comprises the initial volume in a series titled “New Horizons in Managerial and Organizational Cognition”. We asked Frances Milliken and Gerard P…

Abstract

This book on uncertainty comprises the initial volume in a series titled “New Horizons in Managerial and Organizational Cognition”. We asked Frances Milliken and Gerard P. Hodgkinson, two well-known scholars who have made important contributions to our understanding of uncertainty to join us in this opening chapter to introduce this project. The brief bios found at the end of this volume cannot do justice to the broad range of their contributions, but our conversation gives a flavor of the kind of insights they have brought to managerial and organizational cognition (MOC). The editors thank them for helping launch the series with a decisive exploration of what defining uncertainty involves, how that might be done, why it is important, and how the task is changing. We were interested to discover that all five of us are currently involved in research that considers the nature and impact of uncertainty, and we hope that readers similarly find that paying attention to uncertainty contributes to their current projects. Working together, we can advance understanding of organizational settings and effective action, both for researchers and practitioners.

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Uncertainty and Strategic Decision Making
Type: Book
ISBN: 978-1-78635-170-8

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Book part
Publication date: 28 June 2021

Usman Khan and Federico Lega

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Health Management 2.0
Type: Book
ISBN: 978-1-80043-345-8

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Article
Publication date: 1 March 2005

Pete Starkey

110

Abstract

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Circuit World, vol. 31 no. 1
Type: Research Article
ISSN: 0305-6120

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