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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 …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Faithful Representation and the usefulness of Financial Information

Faithful Representation and Relevance are two fundamental qualities which are proposed to make financial information useful in the Conceptual Framework for Financial Reporting and its proposed revision. Faithful representation is further described as information which is complete, neutral and free from error. This research seeks to determine how faithful representation of financial information might be measured/determined drawing on representation theory concepts from the Information systems discipline.

Study level
PhD, Master of Philosophy
Faculty
QUT Business School
Lead unit
School of Accountancy

Predictive analytics for co-creation of digital services

Co-creation of services (i.e., digital services) through collaborative networks enables organisations to improve their innovativeness; to collaborate with a network of customers to create, to facilitate and improve collaboration and create new types of services.However, organisations are also facing new challenges by creating a large amount of data, such as providing lower quality services by the network.On the other hand, the emergence of predictive analytics provides us with techniques to identify explanatory and predictive behaviour patterns from the unstructured data …

Study level
Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Responsible Analytics of Process Data

Technological advances in the field of data science empowers organisations to become ‘data-driven’ by applying new techniques to analyse large amounts of data. The potential benefits include a better understanding of business performance and more-informed decision making for business growth. However, a key roadblock to this vision is the lack of transparency surrounding the quality of data.Process mining is a specialised form of data-driven process analytics where process data, collated from the different IT systems typically available in organisations, is …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Privacy-Preserving Process Analytics

Modern organisations consider data to be their lifeblood. While the importance of data science and the potential benefits of data analytics are widely acknowledged, many people have grave concerns about irresponsible use of their data.Negative publicity surrounding large collections of personal data (incl. location, videos, pictures, emails, etc.) by corporations such as Google and Facebook and subsequent breaches have resulted in people losing trust in, and becoming more suspicious about, how their personal data is being used by such organisations.Process …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Robotic Process Automation: Research Opportunities

Recently, there has been a strong interest in industry in a specific area of automation Robotic Process Automation (RPA). This term can include robotics, software agents acting as human beings in system interactions, and process automation, workflow management systems or systems that are process-aware.RPA is a relatively new technology comprising of software agents called `bots' that mimic the manual path taken by a human through a range of computer applications when performing certain tasks in a business process. The tasks …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Temporal analysis of reflective journals

When people write about themselves over time in a diary or journal, they create a rich narrative of matters important to them. This narrative typically evolves over time and can be easily understood by humans when reading the reflective text. Understanding what people say about themselves in their reflective writing has significant potential for benefits in areas like education and mental health.However human analysis of large quantities of reflective writing is very difficult as it is a labour intensive process. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Business model innovation

Business models are increasing becoming an important focus of innovation activities of practitioners and innovation studies of academics. When organisations want to introduce new products or services, or need to transform their existing products or services, a viable business model is a critical requirement for commercial success.For example, many Internet services are provided for free and, therefore, challenging their providers to find alternative sources of revenue such as advertisements or premium services. In addition, the innovation of the business model …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Digital business models

The ongoing proliferation of a digital lifestyle and the exposure to global innovation raises the expectation level of customers for new products and services. The ongoing technological innovations make this possible, but require digital business models to turn them into viable commercial offerings. This is not only relevant for new ‘born-on-the-web’ companies, but also for traditional companies who run the risk of having their core business disrupted. While some see the technological change coming but struggle with the new business …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Service-oriented business models

With services becoming more and more prominent, a viable, service-oriented business model is a critical requirement for commercial success. For example, many Internet services are provided for free and, therefore, challenging their providers to find alternative sources of revenue such as advertisements or premium services. Moreover, many industries are moving towards adding services to their products or providing their products as services. For example, IT providers are moving towards Cloud and software Services and manufacturing firms are offering added value …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

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. …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

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 …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

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