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Student topics

Explore topics that we're looking for students to research, and discover the fields that our students are currently working on.

Within each School or discipline, you can find topics at your study level: PhD, Masters, Honours or the Vacation Research Experience Scheme (VRES).

13 matching student topics

Displaying 1 - 12 of 13 matching student topics

Strategic alignment of online value co-creation: case study for the public sector

The public sector faces specific problems such as:accountabilityunder-utilization of assetsequitable provisioningrisk aversionoperational inefficiencythe need to reform.Co-creation mediated by digital communities can provide great opportunities when strategically aligned via a better understanding of the required capabilities. This research will investigate what constitutes as strategic alignment for co-creation in the context of public sector organizations, by identifying the set of capability areas which are essential for the operational achievement and measurement of the strategic alignment of co-creation mediated by digital communities. Existing …

Lead unit
School of Information Systems
Disciplines
Business process management
Information science
Service science
Study levels
PhD
Master of Philosophy
Honours

Online health communities: a quantitative analysis of extant work

Online health communities are an increasingly prevalent source of health information and peer-to-peer support, especially for patients with chronic diseases. This project requires you to learn and apply quantitative techniques to analyse and review extant work on the topic. Findings of this study have the potential to improve the quality of service offered by healthcare organisations. It is hoped that this project may lead to a conference publication.

Lead unit
School of Information Systems
Disciplines
Business process management
Information science
Service science

Guided process analytics for actionable improvement recommendations

Process analytics nowadays mainly comprises data-driven analysis of business processes using the massive amount of event log data captured by information systems in the organisations. Various analytical techniques have been developed to help extract insights about the actual business processes with the ultimate goal of process improvement.However, in the ‘big data’ era we often face the problem that there is too much data to analyse (e.g. “drown in the data” rather than lack of data). Without a clear objective for …

Lead unit
School of Information Systems
Disciplines
Data science
Business process management
Service science
Applied and computational mathematics
Statistical and operations research
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Intelligent and automated exception handling strategies for robotic process automation

Robotic Process Automation (RPA) is a relatively new technology that uses small computer programs called bots to mimic the manual path taken by a human through a range of computer applications when performing certain tasks in a business process. The sequence of tasks that is being mimicked by bots, referred to as a 'bot-flow', typically comprises various computer-human interactions (such as mouse clicks and keyboard strokes) that need to be executed in a particular order to accomplish the tasks.Before a …

Lead unit
School of Information Systems
Disciplines
Computer human interaction
Data science
Business process management
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Discovering organisational knowledge from process event logs

Process mining enables data-driven process analysis using the massive amount of event log data captured by information systems in today's organisations. Various techniques have been developed to help extract insights about the actual business processes with the ultimate goal to improve process performance as well as the organisations' business performance.As an important sub-field of process mining, organisational mining focuses on discovering organisational knowledge, including e.g. organisational structures and human resources relevant to the performance of a business process, from event …

Lead unit
School of Information Systems
Disciplines
Data science
Information security
Business process management
Service science
Applied and computational mathematics
Statistical and operations research
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Business process automation in the cloud

The ubiquity of cloud computing is shifting the deployment of Business Process Management Systems (BPMS) from traditional on-premise models to the Software-as-a-Service (SaaS) paradigm, thus aiming to deliver Business Process Automation as a Service (BPAaaS) to organisations in the cloud. However, traditional BPMS are designed to serve a single organisation on premise but not for multiple organisations in a cloud environment. To support provision of BPAaaS, it is necessary to establish the design of a new paradigm to address the …

Lead unit
School of Information Systems
Disciplines
Data science
Information security
Business process management
Service science
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Process data analytics: quality-informed and responsible process mining

Modern organisations consider data to be the lifeblood of their organisations. Technological advances in the fields of Business Intelligence (BI) and Data Science empower organisations to become ‘data-driven’ by applying new techniques to analyse and visualise large amounts of data. The potential benefits include a better understanding of business performance and more-informed decision making for business growth.A key road block to this vision is the lack of transparency surrounding the quality of data. Significant data quality issues persist and hinder …

Lead unit
School of Information Systems
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Discovering bot-flow for robotic process automation

Robotic Process Automation (RPA) is a technology that use computer programs called “bots” to mimic the sequence of actions taken by a human through a series of computer-based applications in order to accomplish a particular task. The sequence of actions that bots mimic is referred to as ``bot-flow’‘. A ``bot-flow’’ is typically comprised of various computer-human interactions, such as keyboard strokes, mouse clicks, and launching an application.Currently, a design blueprint of a bot-flow is needed in order develop a bot. …

Lead unit
School of Information Systems
Disciplines
Computer human interaction
Business process management
Statistical and operations research
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Hack-proofing data analytics: A Blockchain-inspired approach to disabling deceptive data analytics practices

“Lies, damned lies, and statistics”. The preceding well-known phrase captures the, possibly unacknowledged, dilemma faced by organisations who are increasingly reliant on the power of data analytics to make important decisions. ‘Big data analytics’ has demonstrated its ability to deliver positive outcomes to organisations, from exposing and (dis-)proving anecdotally-ridden wisdom (or myths) to delivering targeted and effective data-driven improvement recommendations to business operations. However, drawing parallels to the practices of ‘creative accounting’, insights extracted from data analytics can potentially be …

Lead unit
School of Information Systems
Disciplines
Information security
Business process management
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Responsible Process Analytics: Let’s Blind the Prying Eyes

Process analytics is a form of data analytics with a focus on extracting data-driven insights from sequences of time-ordered events. Traditionally, process analytics have primarily been used to analyse business processes (e.g., insurance claims handling process, purchase requisition process, and student enrolment process). Nevertheless, the prevalence of timestamped data produced by today’s IT systems has seen a wider application of process analytics to other domains, including industrial control systems (e.g., power plant) and computer network systems, with a goal of …

Lead unit
School of Information Systems
Disciplines
Information security
Business process management
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Visualising Stochastic Business Process Models

Process mining aims to derive information from historical behaviour of processes in organisations which has been recorded in event logs. Business analysts use process mining software to visualise logs and derive information and insights for managers. Ultimately, this information is used to improve processes to, for instance, optimise costs, time and/or the environment. Process mining is an exciting field with lots of opportunity for research and with many commercial solutions being offered. Business process models describe what can happen in …

Lead unit
School of Information Systems
Disciplines
Computer human interaction
Data science
Business process management
Statistical and operations research
Study levels
PhD
Master of Philosophy
Honours
Vacation research experience scheme

Process model repair

Process model repair refers to the following problem: Given an event log of a process-aware information system that does not fit to a process model, automatically transform the model such that the event log fits the transformed model better than it fits the original model.Thus, process model repair allows keeping models of process-aware information systems in sync with observed process instances by suggesting mechanisms for reflecting traces encountered in event logs in executions of the corresponding models. …

Lead unit
School of Information Systems
Study levels
PhD
Master of Philosophy
Honours

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