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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
Science and Engineering Faculty

How do information systems contribute to greening the planet?

Due to climate change and global warming, information systems (IS) are increasingly asked to not only support economic goals but also to promote environmentally sustainable behaviours. The advocated role for these “green IS” is that they can enable practices and processes with improved environmental performance. Knowledge about how exactly information systems can carry out this role, however, is still nascent, emergent, and incomplete.Some studies have investigated factors that influence organisational adoption of green IS, other scholars have developed tools for …

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

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
Science and Engineering Faculty

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
Science and Engineering Faculty

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
Science and Engineering Faculty

Blockchain and Accounting Information Systems - Challenges and Opportunities

Blockchain is considered a major technological innovation and has the potential to transform Accounting practices substantially. However, several questions regarding the practical implications remain unanswered. This thesis will examine the potential of blockchain technology in Accounting and its influence on related tasks in risk and business process management. Using empirical data that enables a deep understanding of blockchain in different business contexts, the research will examine challenges and opportunities for its implementation and adoption. The findings will assist businesses in …

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

Process querying

Process querying studies automated techniques for managing large collections of models of process-aware information systems based on process instances that these models describe. A user interacts with a collection of process models via process querying intents. A process querying intent is a formally specified request to manage a collection of process models for a particular purpose. Process querying research initiative spans a wide range of topics from theoretical studies of algorithms and the limits of computability of process querying techniques …

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

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. …

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

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