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ACIS 2023 – Track Descriptions

Track Co-Chairs

  • Rodney CLARKE, University of Wollongong
  • Michael ROSEMANN, Queensland University of Technology
  • Arzoo ATIQ, University of Melbourne
  • Ofir TUREL, University of Melbourne 
  • Angsana Techatassanasoontorn, Auckland University of Technology


The General Track welcomes high-quality IS papers focused on the conference theme Thriving in an uncertain digitized world. We welcome articles that explore the two extremes of the impact of IS. On the one side, the deployment of increasingly sophisticated technologies leading to new security risks, new demands for explainability and as a result compromises to trust, acceptance and with this the overall uptake of technologies. Moreover, digital inclusion and digital intelligence are entirely new challenges. On the other side, current and emerging digital technologies come with previously unknown affordances that facilitate entirely new business models, personalisation, global engagement and with it, new supply and demand patterns. Such new opportunities are used among others to create new revenue models, provide new forms of citizen involvement and enable new levels of sustainability. The tension between these two directions leads to what researchers are now studying as ambidexterity or a paradox.

In addition to a focus on these two directions and their interplay, the General Track welcomes papers that do not fit within one of the specific ACIS tracks. It therefore considers papers on a wide range of IS topics involving various theoretical positions, methodological approaches and domains of study. Further, this track provides an opportunity for the chairs of other tracks, and their students, to submit to ACIS, should their paper topics fall within the scope of their own tracks.

Track Co-Chairs

  • Michael SHENG, Macquarie 
  • Kasuni WEERASINGHE, Massey University  
  • Adnan MAHMOOD, Macquarie University
  • Mahdi FAHMIDEH, University of Southern Queensland


To navigate towards our digital future in the age of accelerations, particularly in the context of Web3 and metaverse, we must understand the roles played by emerging technologies like artificial intelligence, Internet of Things (IoT), mixed reality, blockchain, cryptocurrency and NFT. They are independently disrupting, reshaping, and transforming the evolving nature of our home, work, business, and society. This track explores the many factors that influence the design, development, adoption, use, and impact of emerging technology applications and adoptions. It also looks at the convergence of emerging technologies and how they potentially could address some of the greatest challenges we face in the 21st century.

We welcome theoretical, design science, case studies and field studies papers that enrich our understanding of some of the emerging technologies both individually and collectively. Topics of interest include but are not limited to:

  • The role of emerging technologies in a sustainable world, a circular economy or a post-COVID era
  • The application and adoption of emerging technologies to digitally transform home, work, business, industry, government, and society
  • The application and adoption of emerging technologies in creating new domains
  • Case study and best practice on designing, developing, adopting, using, and evaluating emerging technologies
  • Decision support models and tools for application and adoption of emerging technologies
  • Innovative design, commercialisation and application of a convergence of emerging technologies
  • The impact of emerging technologies to different communities
  • Research contributions discussing implementation success and failure stories

Track Co-Chairs

  • Josh MORTON, University of Leeds
  • Sherah KURNIA, the University of Melbourne
  • Shan PAN, University of New South Wales
  • Ali AMROLLAHI, Macquarie University


In today’s digital age, information and communication technologies have rapidly permeated in all aspects of life. Organisations across the globe are actively undertaking various digital transformation initiatives to improve business process efficiency and effectiveness through automation, information sharing, and data-driven decision making. However, digital transformation typically introduces significant changes not only to organisational business processes, but also to organisational structure and people aspects. Without sound strategy, governance, and leadership, organisations may not achieve their strategic goals and expected outcomes from digital transformation initiatives.

This track provides novel insights on the role of information systems and information technology in the leadership of future organisations, particularly at the level of strategy and governance of firms that exceed regular activities at the operational level. The track focuses on a variety of systems and technologies used in organisational settings that can contribute to the achievement of strategic goals, and to navigating a pathway to the future aided by digital technologies. This includes – but is not limited to – financial and human resources, performance monitoring, and planning systems. Further, the track is interested in studies on corresponding support systems such as decision support systems and collaborative information systems and their role to support the strategic agenda within an organisation. This can include improved strategic decision-making through additional data sources and advanced information processing as well as improved dialogue and communication between systems and users. The track also encourages studies that explore the shortcomings of current technologies in this application area and studies how related challenges can be addressed. Last but not least, the track welcomes studies that examine digital technology deployments in addressing sustainability-related challenges. Topics of interest include but are not limited to:

  • IT-enabled strategic leadership and strategic decision-making
  • Information systems strategy, governance, process, development, and adoption
  • Top management decision support through information systems
  • Enterprise systems: implementation, adoption, and success
  • Enterprise architecture role in digital transformation
  • Governing information and technology resources to achieve competitive advantage
  • The strategic impact of digital work and work mobility
  • The strategic impact of disruptive and emerging technologies and IT innovation
  • The strategic impact of data-driven and IT-enabled leadership and control approaches
  • IT value creation and business alignment
  • The impact of emerging technologies on strategic decision-making
  • Challenges in big data and data analytics for strategic decision-making
  • Innovations in IT governance and their effect on long-term planning
  • Digital Sustainability, and Environmental, Social and Governance (ESG)

Track Co-Chairs

  • Dilek CETINDAMAR, University of Technology Sydney
  • Sophia DUAN, RMIT University
  • Sachithra LOKUGE, University of Southern Queensland
  • Michael LANE, University of Southern Queensland,
  • Axel KORTHAUS, Swinburne University of Technology


The rapid evolution and pervasive adoption of digital technologies and infrastructures has fundamentally changed the nature of products, processes, and services. Advances in digital technologies such as artificial intelligence, blockchain, virtual reality, and internet-of-things are bringing dramatic changes in society, economy, and organisations. Digital innovation and transformation cut across traditional industry sector boundaries and involve inherently networked architectures, products, and services. The ongoing digitisation of products and services is also leading to radically new disruptive and dynamic business models. Further, these accelerated digital transformation is introducing both many opportunities but also considerable challenges and risks at the organizational and individual levels. In particular, rapid workforce automation, digitalisation of organisational processes, increased surveillance, and artificial intelligence (AI)-based decision making become key concerns for society as a whole and a focus of information systems scholars.

Looking at the intersection of information systems and innovation, this track will contribute to knowledge on how digital technology transforms not only the way that value is created with new products, services, organisational, and social innovation but also the future design and practices. This track will also consider on how digitisation influences the invention process itself, and how the innovation process becomes digitised. The focus of the track is on new approaches of digital innovation, business model transformation journey in shaping, and navigating the digital future at workplaces and society as a whole.

We welcome high quality research papers in any major topic of digital innovations, business models, and future of work with no limitation of the research methodologies. In sum, we seek no less than new ways to transform our understanding of this research area. Topics of interest include but are not limited to:

  • Digital innovation and transformation in business, government, and IS/IT education
  • Innovation theory, models, and practices relevant to information systems
  • Innovative digital business models and digital entrepreneurship
  • Social innovation and ICT
  • Innovation as a process of exploring, generating, and excluding of futures
  • Digitisation and the future of work, workplaces, and occupations
  • Implications of novel technologies (e.g., AI) for the future of work, organisations and industries
  • Challenges of future of work
  • Digital strategy and performance measurement

Track Co-Chairs

  • Duy DANG, RMIT University
  • Nik THOMPSON, Curtin University
  • Farkhondeh HASSANDOUST, Auckland University of Technology
  • Sigi GOODE, Australian National University


Organisations and society in general are faced by challenges around digital technology innovation, and the rapid, large scale change that it brings. While some organisations have achieved unprecedented levels of productivity and profit as a result of embracing digital transformation, many have not. Emerging cyber threats arising from the new competitive environment are the theft of intellectual property and disruption of business continuity. Risks to organisations are exacerbated by the unprecedented scale at which competitive information and knowledge is being collected and analysed by organisations and the increased vulnerabilities from the rapid integration of new and complex technologies into the digital environment such as the internet of things (IoT), and bring your own devices (BYOD).

Despite the importance of security and privacy, much prior work has focused on technical issues and solutions. Behavioural and organisational level research are in a nascent state. This is particularly compelling to address given the onslaught of security and privacy problems that occur with the current poor state of information security governance, and lack of understanding the fundamental human psychology of deviance, as well as weak international laws and regulations. At the same time, it is becoming increasingly apparent that the social and organisational implications of ubiquitous technology are not always positive. This “dark side” of Information Systems can undermine individual wellbeing through technology related stresses, addiction and technology misuse.

The Information Security Management and Privacy track focuses on how organisations and society can protect themselves considering the disruption caused by digital technology. The track welcomes submissions of the following topics but are not limited to:

  • Adoption and use of information security technologies and practices
  • Employee insecure behaviours, including insider threats, computer abuse, and shadow security
  • Corporate strategies, governance, and management of compliance
  • Cross-cultural issues in security and privacy
  • Risk analysis, management, and assessment
  • Security and privacy concerning social media and other non-work contexts
  • Ethics and regulations for security and privacy
  • Mitigation and prevention strategies for malware, intrusion detection, forensics, security for mobile devices
  • Security and privacy concerning the use of artificial intelligence

Track Co-Chairs

  • Aneesh KRISHNA, Curtin University
  • Raj GURURAJAN, University of Southern Queensland
  • Tingru CUI, University of Melbourne
  • Madushi BANDARA,  University of Technology Sydney


The goal of the Data Analytics, Artificial Intelligence (AI) and Strategic Decision-making track is to advance our knowledge of the complexity of the disruptive technologies of data analytics and AI for better strategic decision-making. Aligned with the conference theme, the emphasis of the track is on how individual and organisational knowledge can be distilled from and incorporated into data analytics for making more effective decisions and guidance to “navigate our digital future”. We encourage submissions that offer significant theoretical and practical contributions on how organisations can utilise emerging and analytics technologies to create value and knowledge more effectively for both organisational and social good.

We are particularly interested in the incorporation of AI into strategic decisions and policies, as well as the use of analytic tools and techniques in fully supporting and successfully operationalising people’s knowledge in various domains of Information Systems.

This track invites paper submissions that address the challenges and opportunities associated with Data Analytics, AI and their implication/incorporation into business processes and decision-making practices at the individual and organisational levels.

The track accepts both theoretical and practical insights into the areas of interest. The track is open to papers employing various research methods; and accepts completed research papers, as well as research-in-progress papers. Areas of interest include, but are not limited to:

  • Data analytics across the various spectrum of academia and organisations
  • The integration of data analytics and AI for strategic decision-making leading to a sustainable future
  • Design, development, and use of AI to support innovative data-driven decisions and strategies
  • Analytical tools and techniques, such as text analytics and sentiment analysis
  • Visualisation of structured and unstructured data and knowledge
  • Big data velocity and real-time analysis of data in decision-making at the individual and organisational levels
  • Human factor considerations in developing various IS systems including methodological treatment

Track Co-Chairs

  • Lemai NGUYEN, Deakin University
  • Eila ERFANI, University of Technology Sydney
  • Saeed AKHLAGHPOUR, University of Queensland
  • Samaneh (Sam) MADANIAN, Auckland University of Technology
  • Frada Burstein, Monash University


The healthcare industry is undergoing rapid evolution, fuelled by the increasing pace of digital transformation and innovation. Both health practitioners and consumers are embracing digital technologies, using them to provide cutting-edge, integrated, and seamless wellness and health services, including everything from individual patient care to community care. Digital health researchers investigate topics including clinical support systems, point-of-care systems, self-care, digital assistants, community or public health systems, and associated care practices and organisational digital capabilities.

The availability of mobile, wearable, IoT devices, artificial intelligence (AI) and Generative AI solutions has enabled ubiquitous information tracking, analytics, decision making, and exchange. Use of these and other digital technologies in public health, telehealth, preventive health, patient self-care and self-management, and home-based health care is growing rapidly. Patients are now able to take a more active role in their health and wellness using wearable devices, mobile health apps, and remote monitoring tools.

Despite their many advantages, digital technologies present numerous challenges. These include data security and privacy issues; the need to provide accurate, timely, adequate, and complete information to gain an effective transformation in healthcare; and the social and cultural sensitivities associated with transforming clinical and non-clinical practices.

We welcome submissions from academics, clinicians, students, developers and industry/government partners describing research in progress, completed research results, and technical reports on the current trends and challenges in digital health. We aim to contribute to creating a safe and connected healthcare system through digital transformation and innovation.

The following topics are of particular interest (but others will be considered):

  • Applications of artificial intelligence and machine learning in healthcare
  • Digital health literacy for healthcare consumers and health workers
  • Participatory health information systems
  • Ethical, legal, and social issues in digital health research and practice
  • Patient-centred smart health systems and patient empowerment
  • Digital technologies in global and local epidemic responses and healthcare resilience
  • Big data and analytics for smart health, process automation, and cognitive automation in healthcare
  • The role of wearable, IoT, GPRS and cloud technologies in healthcare
  • Real-world case studies of healthcare systems applications
  • Systematic literature reviews of digital health research
  • Advancing information systems (IS) theory in health informatics and health IS
  • Digital health contributions to achieving sustainable development goals
  • Digital health maturity and AI implementations
  • Specific areas of digital health for example, telehealth, tele mental health

Track Co-Chairs

  • Sebastian BOELL, University of Sydney
  • Sander ZWANENBURG, University of Otago
  • Israr QURESHI, Australian National University


Technology change is constantly shifting the ways we go about work, life and achieving organisational goals. This change creates new opportunities and challenges for the theory and practice of research including the philosophical traditions and conceptions underpinning IS research.

We invite submissions that address foundations and practices of IS research advancing the discourse around the use of research approaches, research design, data analysis, and other matters related to methodology. We also welcome submissions investigating epistemological, ontological as well as other philosophical matters underpinning IS research and practice.  We seek contributions that critically reflect on the motivations, assumptions, methods, and consequences of IS research. This may relate to IS research in general or specific emergent phenomena such as generative AI. We also seek submissions that develop new methodological approaches or examine traditional approaches to IS research. This can relate to their adoption, use, evaluation, and implications for knowledge production, publication, and decision making. This track is open to conceptual and empirical papers from a diversity of genres that advance our knowledge of how we (can) study and theorize IS phenomena. Topics of interest include but are not limited to:

  • Alternative philosophical foundations of IS research and their implications for methodology and the nature of knowledge.
  • Analyses of the symbioses of and tensions between different philosophical or methodological approaches in IS and their implications.
  • The possible tension between methodological prescription or rigour on the one hand, and creativity, imagination and insight on the other.
  • Evaluations of data and method biases and their impact on knowledge creation or decision-making
  • Ethical or moral dimensions of information and technology Investigations expanding and challenging products of theorizing in IS
  • Use of abductive research approaches in IS research.
  • Critical examinations of the development of the IS literature, including emerging critique of post-colonial theorists.
  • Emerging research methodology for conducting research in extreme contexts.

Track Co-Chairs

  • Blooma JOHN, University of Canberra
  • Ana HOL, University of Western Sydney
  • David GREEN, Governors State University
  • Rosetta ROMANO, University of Canberra


Educators and education systems around the world are re-evaluating the knowledge and skills students need to succeed and lead in a rapidly changing and complex world. Looking forward the greatest challenge facing humanity can be summed up as adapting and sizing ourselves to fit within the capacity of one planet. Whilst the devastating health and economic impacts of COVID-19 pandemic continue to be far reaching globally, this has also accelerated the pace of change in the workplace including the higher education sector. To add-on, generative AI chatbots like ChatGPT are changing the way students are taught, assessed and how they study. Increasingly, our role as educators, centres around the ability to deliver transformational learning that provide graduates with the capabilities and skills needed to adapt, thrive, and lead in a dynamic and sustainable world.

To instigate change and innovation, IS educators must continue to embrace the many challenges in order not only to prepare the graduates for the new work opportunities of digital economy, but also to produce graduates that are knowledgeable, agile, and innovative contributors to the economy and more broadly society. IS education needs to embrace today’s complexity by constantly re-evaluating its curriculum and the impact of the latest technologies (e.g., personalised learning, smart education) to improve the student experience, social equity, and the future of international student mobility.

This track aims to explore new educational models, content, and innovative ways of utilising technology to stimulate the development of essential skills sought-after in the 21st century so that our IS graduates are job ready and highly employable. This track also aims to explore best practices to equip educators with adaptive and sustainable strategies for curriculum design and pedagogy across a wide variety of delivery modes – face-to-face, online, blended or hybrid.

This track welcomes high quality submissions employing diverse research methods ranging from papers aimed at improving curriculum, to papers addressing broader economic and societal topics in IS education, as well as best practice teaching cases. Topics of interest include but are not limited to:

  • Innovative, emergent curriculum principles, pedagogy, design, planning, implementation, practices, and evaluation including augmented and virtual reality and blockchain in the era of Web 3
  • Novel digital learning applications (learning analytics, artificial intelligence technologies, intelligent tutoring systems, conversational agents, gamification, visualisation, interactive technologies etc.) for smart education (teaching and learning).
  • Micro-credentialing, lifelong learning meeting ever-changing industry and societal needs
  • Mobile education, digital educational practices (online, hybrid).
  • Multi and inter-disciplinary approaches to IS education in the new cyber space.
  • Sustainability, social, cultural (including indigenous perspectives), gender equality, and global pedagogical opportunities and challenges for IS education.
  • Innovation and entrepreneurship in IS education.
  • Emergent approaches for sustainable and adaptive IS education.
  • Creative, experiential, transformational, active, hybrid IS learning
  • IS education responding to rapidly changing environments.
  • Case studies, business simulation (digital twins) methodologies and tools design, implementation, and evaluation.

Track Co-Chairs

  • Libo LIU, University of Melbourne
  • Cathal DOYLE, Victoria University of Wellington
  • Dongming XU, University of Queensland
  • Shah MIAH, University of Newcastle

Track Description

Information and Communication Technologies facilitate greater participation in the exchange of information, enabling digital collaboration in various forms such as crowd work, distributed teams, remote work, and recently, the collaboration between AI-driven agents and human employees. Social media is a prominent type of ICT that enables such collaboration by allowing information, ideas, and thoughts, to be shared (or socialised) through virtual networks and communities. These networks can be organisational, inter-organisational, or just part of societal life. For people, using the social media is a primary way of establishing and maintaining social ties and a channel for receiving digital services. For businesses, it (and other digital collaboration platforms) serves to attract, retain, and co-create value with customers and is a rich source of information for predicting customer behaviour and market trends. On the other hand, there are concerns about the unintended consequences and dangers of these platforms and tools. For example, many have raised concerns over users’ digital wellbeing, addiction to smartphones, cyberbullying, fraud, fake information, and breach of privacy. In line with the conference theme “the changing face of IS”, we invite submission of cutting-edge conceptual, methodological, and empirical research that enhances our theoretical insight into and a practical understanding of a wide range of current and future tools and platforms for digital collaboration. Topics of interest include but are not limited to:

  • Knowledge/information sharing, digital collaboration dynamics, and virtual teams
  • Harnessing the full business potential of social capital and digital collaboration tools
  • Social ties (weak and strong ties) and facilitation of interactions
  • New theories about the effects of digital collaboration at one or multiple levels, including individual, departmental, organizational, and inter-organisational levels
  • The use of data science and analytics methods for research on the crowd and digital collaboration
  • Digital collaboration and citizen science
  • New designs of platforms and processes for digital collaboration including smart devices or apps that can be used to share (or socialise) information.
  • Trustworthiness and reliability of the information on digital collaboration tools
  • Management challenges of digital collaboration
  • Ethical concerns, privacy issues and challenges related to ownership of intellectual property
  • Exploration of negative effects of social media and digital collaboration tools (eg, cyberbullying, fraud, and fake news) and mitigation methods
  • Understanding and fighting the diffusion of fake news and misinformation
  • Use of social media, online communications, and digital collaboration tools in times of pandemic (e.g., COVID-19)
  • Implications of regulating social media content (e.g., Australia’s News Media and Digital Platforms Mandatory Bargaining Code)

Track Co-Chairs

  • Marta VOS, Whitireia
  • Petera HUDSON  Te Pūtāhi a Toi, School of Māori Knowledge, Massey University


As a disruptive medium, information technology is changing the way the world interacts and communicates. As we enter into Hartwell’s (2017) 4th Industrial Revolution the global community stands on the cusp of exponential change attempting to merge physical, digital and biological eco-systems, forever altering the world we live-in. Indigenous peoples have particular concerns about this connected future, especially considering data sovereignty (Hudson et al., 2017), digital preservation (Selim et al., 2021) and indigenous knowledge (Malapane et al., 2022). However, topics around the development and use of information systems and IT artefacts by indigenous peoples are under-researched and yet critical for indigenous communities to participate in and navigate current challenges and the connected future. The purpose of this track is to discuss indigenous views of the IT artefact, to challenge current methodological approaches to the creation and study of the IT artefact, and to allow indigenous researchers, and those researching indigenous topics to discuss their research and support each other.

This track is open to indigenous researchers, and those researching indigenous topics. The track considers the role of indigenous peoples in the development and use of the IT artefact, and indigenous social technical systems. The purpose of this track is to discuss indigenous views of the IT artefact, to challenge current methodological approaches to the creation and study of the IT artefact, and to allow indigenous researchers, and those researching indigenous topics to discuss their research and support each other.

Topics of interest include:

  • Indigenous social technical systems
  • Indigenous diversity and inclusion
  • Inter-disciplinary and inter-generational indigenous research
  • Incorporating and telling indigenous stories with and through technology
  • Development of IT artefacts by and for indigenous peoples
  • The use of the IT artefact by indigenous people
  • The cultural/indigenous nature of the IT artefact
  • Indigenous research methodologies
  • Data sovereignty
  • Support systems for indigenous researchers
  • IS and IT education for indigenous learners
  • Decolonising methodologies and practices
  • Discussion and support for indigenous researchers, and those researching indigenous topics

Track Co-Chairs

  • Dr Raffaele F CIRIELLO, The University of Sydney
  • Dr Marten RISIUS, The University of Queensland
  • Prof Helana SCHEEPERS, Swinburne University of Technology
  • Dr Marc CHEONG, University of Melbourne


New digital technologies, such as social media, blockchain, or AI, play an ever-increasing role in all aspects of our lives, posing the question of how these digital innovations can contribute to the common good of societies. So far, the Information Systems (IS) discipline has not provided a satisfactory answer, as the vast majority of research published in top IS journals has focused predominantly on the economic interests of corporations, with scant attention to social and environmental considerations (Clarke and Davison, 2020). Still, as humankind struggles to keep up with pandemics, climate change, and rising geopolitical tension, we note a rising urge among many IS researchers to explore and explain how new digital technologies can help address these societal challenges while mitigating unintended negative impacts. As Sarker et al. (2019, p.705) put it, “by losing sight of humanistic goals, the IS discipline risks facilitating the creation of a dehumanized and dystopian society”.

Against this backdrop, we encourage any kind of submission that takes a balanced perspective on how new digital technologies can contribute to the common good. We will constructively evaluate all submissions regardless of their theoretical, epistemological, ontological, methodological, geographical, or paradigmatic approach. We welcome qualitative, quantitative, behaviour-oriented, design-oriented, positivist, anti-positivist, theoretical, and empirical studies. In short, we do not privilege any particular ‘camp’ of research.

Nonetheless, critical thinking and a focus on ‘the common good’ will be the two hallmarks of a successful submission. Regarding critical thinking, submissions are unlikely to fare well in this track if they take an overly enthusiastic, optimistic, or utopian view on new digital technology, without reflecting critically on the present and future impacts of it. But a submission is also unlikely to fare well if it prophesises a doomsday scenario, without sufficient substantiation by compelling evidence or logically sound argumentation. A successful submission will fall somewhere in between these utopian and dystopian extremes while carefully weighing both possibilities.

As for the focus on the common good, a successful submission will consider how digital innovations can create value for all stakeholders in a society. This requires careful analysis of how various stakeholders, both core and marginalised, can derive value from new digital technologies, ideally without overexploiting or harming others. It also requires attentiveness to different sets of values, ethics, and moral principles as well as their cultural relativity – what is seen as ‘beneficial for the common good’ in one culture might be considered the opposite in another.

Topics of interest include, but are not limited to:

  • How to create beneficial impacts for everyone, rather than a few, with new digital technologies and business models. 
  • How digital innovations can contribute to greater equity, diversity, or inclusion in business and society.
  • How can digital innovations help achieve the UN Sustainable Development Goals
  • How to better align IS research and education with the UN Sustainable Development Goals.
  • How the IS community can shift from its predominant focus on corporations and economic interests to also include the public and non-profit sectors, focusing more on social and environmental impacts. 
  • How to incentivize/nudge pro-social behaviour with digital technologies. 
  • Digital responsibility: How to nurture ‘responsible’ use of digital technologies.
  • Digitally-enabled organisational resilience and sustainability.
  • Digital technologies for human welfare and well-being at the individual or societal level
  • Nurturing employability of IS graduates with pro-social engagement: from industry partnerships to collaboration with non-profits and charities.

Partnership with the Scandinavian Journal of Information Systems

Selected submissions may be offered a fast-track opportunity to submit to the upcoming special issue on “The Dark Side of Information Systems: The Role of the IT Artefacts” in the Scandinavian Journal of Information Systems: https://communities.aisnet.org/scandinavia/sjis/cfp-special-issue (no guarantee for acceptance)


Clarke, R., & Davison, R. M. (2020). Research perspectives: Through whose eyes? The critical concept of researcher perspective. Journal of the Association for Information Systems21(2), 1.

Sarker, S., Chatterjee, S., Xiao, X., & Elbanna, A. (2019). The sociotechnical axis of cohesion for the IS discipline: Its historical legacy and its continued relevance. MIS Quarterly, 43(3), 695-720.

Track Co-Chairs

  • Lubna ALAM,  Deakin University
  • Hamed SARBAZHOSSENI, University of Canberra   
  • Jayan KURIAN, University of Technology, Sydney 


Advances in digital technologies create both challenges and opportunities for government decision makers to tackle AI, Cybersecurity, Digital Transformation, and Innovation. With the exponential growth in the amount of data available to government and constituents, there is a need to create a culture of innovation, data, and technology while maintaining effective and efficient use of government resources. Two major developments are making significant contributions to government: first, the increase in the number of case studies from across government agencies to inform and inspire the future of service provisions accelerated through rapid digitalization during Covid19 pandemic, and second, having the potential to disrupt traditional processes, procedures, and practices of government through greater efficiencies using emerging technologies and methodologies and meet austerity demands. Considering the recent crisis with data breaches (i.e., Medicare) and pitfalls with automated decision-making (i.e., Robodebt), it is imperative to inspect both the benefits and risks of using digital technologies for sustainable and responsible digital government.

This track seeks quality submissions using appropriate research methodologies on current and emerging aspects of AI, Cybersecurity, Digital Transformation and Innovation in the context of government. Possible topics of interested but not limited to the following:

  • AI implementation and management in Government
  • Cybersecurity, surveillance and privacy in Government
  • Digital government strategy, policy, implementation, management and best practices
  • Digital Government and Business Process Management (BPM)
  • Disaster Information, Resilience, for Emergency and Crisis Technologies (DIRECT)
  • Diversity & Inclusion and digital inequalities and alignment with United Nations’ Sustainable Development Goals (UN SDGs)
  • Emerging technologies and topics in digital government
  • Smart and Connected Cities and Communities
  • Business models and innovation (incl. digital twins) for transitioning of smart to circular cities
  • Data-driven government, datafication and platformization
  • Emerging issues for digital government in developing contexts

Track Co-Chairs

  • Dr Amir ANDARGOLI, Swinburne University of Technology
  • Associate Professor Mohsin MALIK, Swinburne University of Technology
  • Dr Kristijan MIRKOVSKI, Deakin University


The objective of this conference track is to bring together experts in information systems, operations and supply chain management to explore the intersection of these disciplines and the impact of Information Systems on operations and supply chain including the impact of Industry 4.0 on them. This track aims to facilitate knowledge sharing and discussions on the latest trends, challenges, and opportunities in the field.


  • How IS enables digitalisation of operations and supply chains
  • The interplay of Industry 4.0, IS and operations and supply chain management.
  • Digital transformation and its effect on operations and supply chain management
  • Data analytics and data driven decision-making in operations and supply chain management
  • The use of smart technologies and their impact on operations and supply chain management
  • The impact of blockchain and other emerging technologies on supply chain management
  • The contribution of IS to the future of operations and supply chain in the era of Industry 4.0

The conference track will consist of paper presentations, panel discussions, and keynote speeches. We invite original research papers, case studies, and literature reviews that address the topics mentioned above. Each presentation will be followed by a Q&A session to encourage interaction between presenters and participants. Panel discussions and keynote speeches will bring together experts from academia and industry to discuss the latest trends and challenges in the field.

Track Co-Chairs

  • Shastri L NIMMAGADDA, Curtin University
  • Torsten REINERS, Curtin University
  • Lincoln C WOOD, Otago University
  • Neel MAMI, Centre for Artificial Intelligence Research (CAIR), DSVV
  • Neelam NAIK, SVKM UPG, Vile Parle, Mumbai


A digital ecosystem is a community technology with groups of interconnected domains and systems driven by Big Data sources that can function as a composite ecological entity with interrelated multidimensional attributes. Integrating volumes and varieties of Big Data in multiple domains is challenging in digital ecosystem management and practice. The challenge has multiplied with data heterogeneity, multidimensionality, and complexity in ecological assessments. A sustainable integrated methodological framework, such as Design Science guided Information System architecture, can address the challenges of uncovering the connectivity between diverse systems. Strong interactions may coexist between the ecosystems through their elements and processes with sharp inherent boundaries, exhibiting discontinuities and overlaps because of the juxtaposition of multiple system fringes in various scales and dimensions (with nested hierarchies). Multi-scalable ecosystems (including spatial ecologies) can manifest and benefit the coexistence based on a commonality between structural units and domains in Digital Ecosystems and Technology (DEST) contexts.

Researchers in the current track can articulate Big Data-guided information systems for unifying and analysing the digital ecosystems within a sustainability framework, demonstrating the ecosystems’ connectivity through an application development procedure in industry scenarios. The new knowledge of ecosystem connectivity can contribute to sustainable business alliances and make them more ecologically functional.  The integration across multiple domains can significantly minimise the risk of ambiguity in the single method of interpreting new knowledge obtained from diverse ecosystems. Accordingly, the research objectives may be designed to analyse issues, signifying and framing the goals of DEST research. The authors can articulate an integrated framework to develop and generate new artefacts, interfaces, and agents, enabling easy access to ecosystem information and extracting and analysing data views to create cognitive knowledge from fine-grained metadata. Robust methodologies can undoubtedly facilitate new insights into the policies for ameliorating sustainability issues. Examining benchmarks and analysing the impacts of procedures can motivate understanding the multidimensional sustainability-informed management at micro, meso and macro levels globally. The researchers can resolve the ecosystem complexities through community-based IS/IT applications, qualitatively and quantitatively analysing Big Data guided diverse digital ecosystems.

We are particularly interested in the fusion of multiple ecologies, such as human, ecological health, environmental and economic ecosystems, and how models are made with usable analytic tools when numerous domains and systems are emerging within ecologies. The track invites paper submissions that address the challenges and opportunities associated with data modelling, analytics and implementable multiple digital ecosystems and decision-support logistics and supply chain ecosystems.  The track accepts theoretical and practical IS research insights in ecosystem development. The track is open to papers employing various research methods and accepts completed and research-in-progress forms. Areas of research interest include, but are not limited to:

  • Big data integration and analysis in ecosystem contexts;
  • Design of IS constructs and models in ecosystem contexts;
  • Development of IS artefacts in human ecosystems, their amalgamation with ecological health, environmental and economic ecosystems;
  • Design of data schemas and best practices in ecosystem contexts;
  • Development of robust modelling methodologies in ecosystem contexts;
  • Multidimensional ecosystem contexts and their data analytics;
  • Design and development that support implementation of IS artefacts in ecosystem contexts;
  • Data science tools and techniques to manage ecosystems ;
  • Articulating visualisation tools for ecosystem new knowledge interpretation and managing ecosystem services;
  • Digital ecosystems and technologies for decision support systems;
  • Implication of IS frameworks and methodological treatment in the ecosystem applications;
  • Ecosystem services affected by human, environmental (including pre- and post-covid) and economic ecosystems.