Information Systems Design Science

At the crossroads of human resourcefulness and technological advancement lies the discipline of Information Systems Design Science (ISDS). The vision of the ISDS Disciplinary Area is to establish itself as a dynamic and pioneering research centre in the field of design science within the realm of information systems. Through its endeavours, the ISDS Disciplinary Area strives to address pressing challenges, develop novel methodologies, and produce actionable insights that propel the field forward, ultimately benefiting society at large.

ISDS is uniquely positioned at the intersection of Information Systems and Computer Science, championing a multi-methodological approach that leverages both design-centric research and rigorous qualitative and quantitative strategies. Members of the ISDS disciplinary area are at the forefront of scholarly excellence, contributing seminal works to top-tier journals and conferences at the confluence of Information Systems and Computer Science including Basket of 11, A* in ABDC, IEEE, and AIS. They navigate through a rich spectrum of research interests that require the application of core design science methodologies as well as qualitative and quantitative methods.

One of the key questions that many members of the ISDS disciplinary area are working on is:

How can we sustainably transform individuals, organisations, supply chains and societies through systems thinking and exponential, disruptive technologies such as AI, Generative AI, Machine Learning, IoT, RPA, Blockchain, Social Media, Mobile Technologies, Cloud Computing, Spatial Computing and Transformation Platforms and Ecosystems?

Some of the research areas that members and students of the ISDS disciplinary area are working on include:

• Design and implementation of sustainable adaptive systems that are flexible and evolvable and support informational, decisional, knowledge and collaboration needs of organisations.
• Digital innovation and transformation - the creation, distribution and commercialisation of digital innovations, open innovation platforms, and their impact on organisations and society.
• The relationship between information systems and organisations - how IT impacts on organisational structure, culture and people.
• Recreational computing - how information systems are used in non-work settings, including social networking, virtual communities, use of mobile devices and games.
• Learning and teaching with technologies - how students and lecturers can increase their productivity through the design and use of new applications, tools, systems and methodologies.
• Dark side and Bright side in the use of digital technologies.
• Governance Risk Compliance and Ethics of the use of technologies such as AI.
• Optimising organisational learning using knowledge management techniques and exponential technologies – how knowledge transfer is facilitated in organisations.
• Data mining and big data - how huge amounts of data can now be extracted and analysed using cutting-edge descriptive, prescriptive, diagnostic, and prescriptive analysis tools.
• Sentiment and emotion analysis of social media text – including personalised and explainable AI approaches as well as natural language understanding for event driven social media decision making.
• Design and implementation of visualization systems to enhance decision making and mitigate cognitive biases.
  
• Social media/networks - the role of social media/networks in commerce, government and society through a comparative exploration of decision making in health and financial networks.
• Immersive persuasive personalised evolutionary systems - immersive systems for decision making including serious games for young decision makers and immersive systems for decision making.
• Designing serious games for a sustainable world - values-based digital games and platforms for the young.

• Associate Professor Fernando Beltran
• Dr Johnny Chan
• Josephine Lee
• Dr Gabrielle Peko
• Professor David Sundaram
• Khushbu Tilvawala
• Aakanksha Aakanksha
• Mina Cu
• Regan Duff
• Ivan Gan
• Mina Khoshmehr
• Shohil Kishore
• Jianzheng Li
• Yuming Li
• Racheal Liu
• Ajay Mutreja
• Roshni Patel
• Aldrich Rasco
• Minjia Shen
• Brice Kok Shun
• Rasika Kalahe Wattege

For more information please contact:

Professor David Sundaram
Email: d.sundaram@auckland.ac.nz