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Overview This PhD project will take a comprehensive approach to exploring how corporate sustainability disclosure practices evolve in response to the integration of Machine Learning (ML) within
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clearly and effectively using a variety of teaching methods. Previous experience in teaching at higher education level or significant industry experience is required along with a willingness to engage with
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for succession planning. The proposed PhD research aims to develop a framework that leverages AI-driven predictive analytics to assess employee skill capabilities, automatically identify skill gaps, and provide
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Overview Model co-creation and facilitated modelling are popular methods used in supporting group decision making in industry and public organisations. Facilitated modelling involves developing
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departments and roles dedicated to such work. Reports show this approach may not be sustainable (see for example Hicks, 2024). We call for research proposals for a PhD project that studies the interactive
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consideration. The proposal should demonstrate understanding of the importance of the mining sector to meeting SDGs. Additionally, the proposal should outline theoretical lens and research methods that will
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macroeconomic analysis using econometrics software. UK: Successful applicants for the PhD in Nottingham Business School normally hold a first or upper second-class honours degree from a UK university or an
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their organisational resilience levels in times of adversity and crisis? Proposed Methodology Exploratory research approach that uses a qualitative, quantitative or mixed-methods. Data Collection: Data can be collected
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of the required literature review and data collection, the candidate will analyse data using structural equation modelling (SEM) with either SPSS AMOS software or MPlus software through the theoretical lens
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methods. Fees and funding This is a self-funded PhD project for UK and International applicants.