Michael D. Grant

A digital twin approach to noise exposure modelling and risk analysis

Nurhasnita Hamzah, Turan Mutallimov, Ciprian Panaitescu, Michael D. Grant et autres

Excessive noise is a major hazard in oil and gas, where heavy machinery and steel structures often exceed regulatory limits. We introduce a Noise Exposure Digital Twin (NEDT) that fuses historical surveys, live sensors, and equipment data into a real-time sound-propagation and …

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Leadership in Health Care: A Comparison With Leadership Development Best Practices

Emily S. Becker, Michael D. Grant, Hannah Sy, Sean Bering et autres

BACKGROUND AND PURPOSE: Effective leadership is essential in today's health care environment. To date, no study exists identifying the best practices for Leader Development (LD) within the physical therapy profession, nor has there been a published review of existing leadership curricula against …

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Reading the Shark’s Barcode

Hilary J. Lewis, Olivier Alard, Michael D. Grant, Dorrit E. Jacob

Judgments and Decisions by Expert Fund Managers

Martin Abrahamson, Michael D. Grant

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Searching for Expert Fund Managers

Martin Abrahamson, Michael D. Grant

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Performance and Fund Managers’ Expertise

Martin Abrahamson, Michael D. Grant

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Does Expertise Matter? Concluding Reflections

Fredrik Nilsson, Martin Abrahamson, Katarzyna Cieślak, Michael D. Grant et autres

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635 A randomised, placebo-controlled, phase I/IIa study evaluating the safety and clinical activity of a novel cancer vaccine (ITOP1) in patients with resectable oesophageal adenocarcinoma (VISTA study)

Michael D. Grant, Jonathan Kwok, Paul David Smith, Lian Ni Lee et autres

Background Approximately 10,000 cases of Oesophageal Cancer (OC) are diagnosed across the UK each year, making it the 12th most common cancer type. Due to its poor prognosis, it is the 6th most common cause of cancer death with 8,500 attributed deaths …

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Data analytics use in financial due diligence: the influence of accounting and commercial logic

Tim Kastrup, Michael D. Grant, Fredrik Nilsson

Purpose The purpose of this paper is to contribute to a better, empirically grounded and theoretically informed understanding of data analytics (DA) use and nonuse in accounting for decision-making. To that end, it explores the links between accounting logic, commercial logic and …

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Intuition in Organizations: New Research Directions

Marta Sinclair, Erez Yaakobi, Jacob Weisberg, Talya Miron‐Shatz et autres

This 15th annual intuition symposium at AoM showcases new research directions in the discipline. The empirical contributions investigate the role of intuition in academic output and organizational forecasting. The conceptual contributions compare and contrast intuition with tacit knowledge and artificial intelligence. Both …

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Practical and theoretical judgment in data-driven financial due diligence

Tim Kastrup, Michael D. Grant, Fredrik Nilsson

Purpose New digital technologies are reshaping the business landscape and accounting work. This paper aims to investigate how incorporating more data and new data analytics (DA) tools impacts the role and use of judgment in financial due diligence (FDD). Design/methodology/approach The paper …

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Integrating Performance-Based Planning into Long-Range Transportation Plans and STIPs

Michael D. Grant, Catherine M. Duffy, Haley Eggert, Sarah Lettes et autres