QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.

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Found 210 matching student topics

Displaying 49–60 of 210 results

Understanding the drivers of customer aggression

Recent work has identified outcomes of sustained customer aggression, however an opportunity lies in identifying the drivers of the specific dimensions of customer aggression. (See Mortimer, G., Wang, S., & Andrade, M. L. O. (2023). Measuring customer aggression: Scale development and validation. Journal of Retailing and Consumer Services, 73, 103348.)Future research may also assess the extent to which each customer aggression type individually affects the different attitudinal and behavioural outcomes tested herein. Both expressive aggression forms may be stronger drivers …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Can 'humanisation' reduce customer aggression?

As a direct response to increasing customer aggression, employee associations (unions) are implementing measures to keep frontline team members safe. One such tactic was an ‘under-name-badge’ message (“I’m someone’s daughter”, “I’m someone’s dad”). Concerningly, there is a dearth of research into the effect of such messaging.Does alerting an aggressive customer to the fact the frontline team member is ‘someone’s daughter/son’ mitigate aggression? Alternatively, does alerting an aggressive customer to the fact the frontline team member is ‘a local/attends a local …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Examining customer responses to body worn cameras

As a direct response to increasing customer aggression, retailers are implementing measures to keep frontline team members safe – assets such as body worn cameras (BWC) and duress watches. Concerningly, there is a dearth of research into these technologies in a retail setting, with much of the earlier research being undertaken in corrective services, policing and train guards.Current research identifies, in some cases, the presence of such technologies can lead to a ‘back-firing’ effect (the aggressive individual becomes more aggressive), …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Low-cost portable Magnetic Resonance Imaging for clinical applications

The aim of this project is to develop accurate low-cost medical imaging methodology for pseudo-3D mapping of Mammographic Density (MD) within the breast. MD is the degree of radio-opacity (“whiteness”) in an X-ray mammogram. It has implications for breast cancer risk, ease of detection of breast cancer, and monitoring of the efficacy of hormonal breast cancer prevention or anti-cancer treatments.Healthcare ChallengeThere is a growing need for affordable and accurate quantitative assessment of MD without ionising radiation. Magnetic resonance imaging (MRI) …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics

Building explainable and trustworthy intelligent systems

Existing machine learning-based intelligent systems are autonomous and opaque (often considered “black-box” systems), which has led to the lack of trust in AI adoption and, consequently, the gap between machine and human being.In 2018, the European Parliament adopted the General Data Protection Regulation (GDPR), which introduces a right of explanation for all human individuals to obtain “meaningful explanations of the logic involved” when a decision is made by automated systems. To this end, it is a compliance that an intelligent …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)
Centre for Data Science

Sport AI

Videos of sport activities are widely available at large scales. AI and its sub-fields, especially computer vision and machine learning, have a great potential to analyse, understand and extract useful information from these videos.This project aims at using AI and its subfields in computer vision and machine learning to develop techniques for analysing sport videos to extract intelligence for players and coaches.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Examining approaches to mitigating customer aggression and abuse

The pace of change associated with modern businesses (Grewal et al., 2017; Grewal et al., 2020), and the introduction of new technologies has created heightened level of stress (technostress) and aggression (Chen et al., 2019). Adding to these stressors, COVID-19, which has forced businesses to adapt their processes and customer service interface (Ahmed et al., 2021; Jiang and Stylos, 2021; Roggeveen and Sethuraman, 2020). Research now finding that continued lockdowns, social distancing, and political rancour, all adding increased levels of …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations

Small business resilience in times of economic uncertainty: Examining retailers and regional businesses

Regional Australia is undergoing significant structural, economic, social, and environmental change which is impacting the viability of small businesses (Regional Australia Institute, 2018). Regional small retail businesses, estimated to contribute $21.9bn to local economies (Australian Small Business and Family Enterprise Ombudsman, 2019) are particularly susceptible to economic shocks, have lower survival rates, more volatile revenues and are generally less resilient than larger business (Barraket, Eversole, Luke & Barth, 2019).Disruptive external events such as the acceleration of e-retailing, COVID-19 travel restrictions, …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Advertising, Marketing and Public Relations
Research centre(s)

Australian Centre for Entrepreneurship Research

Strain-level characterisation and visualisation of microbial communities associated with inflammatory bowel disease

Inflammatory bowel disease (IBD) is a chronic, relapsing inflammatory disorder driven by complex interactions between environmental, microbial and immune-mediated factors. An unfavourable shift in gut microbiome composition, known as dysbiosis, is now considered a key feature of IBD, however it is unclear how specific microorganisms and their interactions with host cells contribute to disease onset and progression. Previous IBD studies have been largely limited to older sequencing methods with low resolution. Furthermore, these studies have predominantly focused on bacterial populations, …

Study level
PhD
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

The failure of the market for fashion

The market for fashion, clothing and textiles has failed, causing an externality characterised by overconsumption, oversupply and resulting largely in textile waste. Legislative change at a geopolitical level seeks to address these issues, however, there are numerous actors involved with diverse interests.

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Explainable AI-enabled predictive analytics

Modern predictive analytics underpinned by AI-enabled learning (such as machine learning, deep learning) techniques has become a key enabler to the automation of data-driven decision making. In the context of process monitoring and forecast, predictive analytics has been applied to making predictions about the future state of a running process instance - for example, which task will be carried out next, when and who will perform the task, when will an ongoing process instance complete, what will be the outcome …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems
Research centre(s)
Centre for Data Science

Global Health and the Law

Professor Belinda Bennett is interested in talking to students who wish to undertake research on global health and the law, including the Sustainable Development Goals, legal issues related to global health governance, global public health, and health and human rights.

Study level
PhD, Master of Philosophy
Faculty
Faculty of Business and Law
School
School of Law
Research centre(s)

Australian Centre for Health Law Research

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