Track 1: Conference Track: Diversity and Inclusion
Track Title: Diversity and Inclusion
Track Co-Chairs:
Track Description:
This track focuses on the importance of diversity, equity, and inclusion (DE&I) in preparing the next generation for an IT-driven future. As technology reshapes all aspects of modern life, ensuring equitable access and representation in IT and information systems is crucial. Building a workforce that represents diverse perspectives, backgrounds, and experiences is central to this, but equally important is preparing organizations and individuals worldwide for the changes and challenges that technological advances bring.
IS must consider the needs and contributions of a range of groups and identities, including underrepresentation of gender, minorities, race, ethnicities, neurodiversity, and abilities in the IS field, intersectionality of identities (such as ethnicity, gender and socio-economic class), socioeconomic divisions that impact access to or use of technology, designing for the differently-abled, the digital divide, underserved groups in the information society, and a range of topics related to human diversity, and the haves and have nots in an information society.
This track is particularly interested in examining the ethical questions and challenges emerging technologies such as AI and the metaverse pose for DE&I.
Potential topics include (but are not limited to):
- DE&I in the IT workforce
- DE&I in IS education
- Addressing bias in big data and AI and IS
- Closing the digital divide
- Diverse Perspectives as a catalyst for innovation in IS
- Gender gap in the IS field; neurodiversity in IT, intersectionality of identities
- Bias in algorithms
Associate Editors (AEs):
- Salah Kabanda, University of Cape Town, South Africa
- Oyebisi Oladeji, Kennesaw State University, United States of America
- Maylis Saigot, The University of Queensland, Australia
- Noor Zalina Zainal, Universiti Teknologi MARA, Malaysia
- Noor Hafizah Hassan, Sunway University, Malaysia
- Sri Fatiany Abdul Kader Jailani, Universiti Teknologi MARA, Malaysia
- Salah Kabanda, University of Cape Town, South Africa
- Ranjan Vaidya, Auckland University of Technology, New Zealand
- Sam Takavarasha Jr, Womens’University in Africa, Zimbabwe
- Noorminshah A.Iahad, Universiti Teknologi, Malaysia
- Nor Hafizah Mohamed Halip, Sunway University, Malaysia
- Maisarah Mansor,Sunway University, Malaysia
- Patrick Kanyi Wamuyu, United States International University-Africa, Kenya
- Kyeong Kang, University of Technology Sydney, Australia
- Zuraini Zainol, Universiti Pertahanan Malaysia, Malaysia
- Magiswary Dorasamy, Taylors University, Malaysia
- Ganeshkumar, Sunway University, Malaysia
Track 2: AI and Machine Learning
Track Title: AI and Machine Learning
Track Co-Chairs:
Track Description:
This track aims to explore the transformative power of Artificial Intelligence (AI) and machine learning in driving innovation across diverse sectors. With AI and machine learning at the forefront of technological advancements, this track will delve into the latest research, real-world applications, and cross-disciplinary developments that are shaping the future of AI. We invite scholars, industry experts, and practitioners to discuss breakthroughs, address challenges, and envision future directions in AI and machine learning.
Artificial Intelligence is a key driver of change in today’s world, offering unprecedented capabilities to transform industries and improve lives. This track provides a platform to discuss AI’s potential, examine its impact on society, and address the technical and ethical challenges it presents. By fostering collaboration and knowledge exchange, this track will empower participants to contribute to the responsible and impactful advancement of AI and machine learning.
This track is designed for AI and machine learning researchers, industry professionals, policymakers, and other stakeholders interested in AI and machine learning’s applications and implications. Attendees will gain insights into the current AI landscape, explore cutting-edge research, and participate in discussions that could shape the future of AI and machine learning.
Potential topics include (but are not limited to):
- Machine Learning and Deep Learning
- AI in Industry Applications
- Ethics and Governance of AI
- AI for Social Good
- AI in Business and Management
- Emerging Trends in AI
- Collaborative AI
- Generative AI and large language model applications
- AI robotics
- Development of AI architectures, infrastructures, and capabilities
- Machine learning fairness and algorithmic bias
- Explainable AI and responsible AI
Associate Editors (AEs):
- Azizul Azizan, Universiti Teknologi Malaysia, Malaysia
- Cong Wang, Peking University, China
- Gang Chen, Fudan University, China
- Hongzhe Zhang, Chinese University of Hong Kong, Hong Kong
- Hui Fang, Shanghai University of Finance and Economics, China
- Jiarong Xu, Fudan University, China
- Mohd Syahid Mohd Anuar, Universiti Teknologi Malaysia, Malaysia
- Normaisharah Binti Mamat, Universiti Teknologi Malaysia, Malaysia
- Sihan Fang, Shanghai Jiao Tong University, China
- Tian Lu, Arizona State University, United States of America
- Vetle Alvenes Utvik, University of Oslo, Norway
- Wan Noor Hamiza Wan Ali, Universiti Teknologi Malaysia, Malaysia
- Yi Ding, University of Warwick, United Kingdom
- Yichen Xi, University of Birmingham, United Kingdom
- Yidan Xiang, National University of Singapore, Singapore
- Lemai Nguyen, Deakin University, Australia
Track 3: IS for Healthcare
Track Title: IS for Healthcare
Track Co-Chairs:
Track Description:
Digital health is an area of robust growth. Health technology keeps on progressing at a noteworthy rate and plays a critical role in the healthcare delivery system, including enhancing the quality of care, transparency of medical information, and efficiency of information flow. The promise of digital health solutions, such as those based on AI and machine learning, is to deliver more cost-efficient and patient-centric healthcare through widespread sharing of authorized data, process transformation, and proactive involvement by patients to sustain their well-being.
While technological advancements bring great benefits to healthcare, they also pose many challenges including issues related to (1) massive healthcare data integration, (2) security, privacy, and the socio-technical aspects of patient safety, (3) explanations of the findings based on big data analysis, (4) implementation of healthcare innovations and (5) ensuring the health IS solutions are accessible and beneficial to all individuals, regardless of their socioeconomic status, geographic location, age, gender, ethnicity or other factors.
The core aim of this track is to provide an opportunity for the participants, including scholars, policy decision-makers, industry partners, stakeholders, and the general public, to meet, interact and exchange new ideas, and share innovations on health IT and IS for healthcare in the digital age and bring together ideas to address more challenging problems. We welcome all research related to health IT and IS for healthcare and are open to all types of research methods (e.g., simulation, survey, experimentation, literature review, case studies, action research, etc.). Practice-based research is also appreciated. Both full research papers and research-in-progress papers are welcome.
Potential topics include (but are not limited to):
- AI-Driven Health Information Systems for Early Detection and Preventive Care
- Augmented Reality (AR) and Virtual Reality (VR) for Health Information Systems in Medical Training and Patient Rehabilitation
- Big data, applied AI, and machine learning in healthcare
- Blockchain-Enabled Health Information Systems for Data Security and Interoperability
- Conversational AI Systems for Patient Interaction and Self-Management
- Digital health inclusion
- Digital therapeutics
- Edge Computing-Enhanced Health Information Systems
- E-health, telehealth, mobile health, and their impacts
- Electronic data sharing and transfer using health information exchanges
- Generative AI and Healthcare
- Health informatics and biomedical informatics
- Online citizen science in healthcare
- Patient accessibility and health care simulation
- Personalized and precision medicine
- Safety, security, and privacy of health information
- Technology-enabled patient care (self-care) management
- The impact of Healthcare Information Systems on care providers, patients, and payers
- User-generated content and its impact on healthcare practices and providers
- Wearable health devices and their health outcomes
Associate Editors (AEs):
- Qi Wang City, University of Hong Kong, Hong Kong
- Thurasamy Ramayah, Universiti Sains Malaysia, Malaysia
- Yi Shen, Soochow University, China
- Qingyun Zhu San, Diego State University, United States of America
- Chen Chen, The Chinese University of Hong Kong, Hong Kong
- Laddawan Kaewkitipong, Thammasat University, Thailand
- Xiaofei Zhang, Nankai University, China
- Yao Zhao, The University of Queensland, Australia
- Suraya Miskon, Universiti Teknologi Malaysia, Malaysia
- Pamela Abbott, University of Sheffield, United Kingdom
- Say Yen Teoh, RMIT University, Australia
- Sam Madanian, Auckland University of Technology, New Zealand
- Lele Kang, Nanjing University, China
- Elena Vlahu-Gjorgievska, University of Wollongong, Australia
- Yinghao Liu, Shanghai University, China
- Nooralisa M. Tuah, Universiti Malaysia Sabah, Malaysia
- Yongjin Park, City University of Hong Kong, Hong Kong
Track 4: IoT, Smart Cities and Digital Government
Track Title: IoT, Smart Cities and Digital Government
Track Co-Chairs:
Track Description:
The emergence of Internet-of-Things (IoT) technology has a critical role in the development of smart cities and digital government services. Advances in AI technologies, such as generative AI, have further accelerated developments in smart design and urban planning. These innovations enhance urban spaces and improve the quality of life for citizens. Similarly, by integrating technologies such as IoT, AI, machine learning, and generative AI, digital government solutions can be enhanced to provide faster, more efficient, and seamless services to citizens. This track explores the cutting-edge advancements in IoT and its role in shaping smarter and more sustainable cities and governments. We invite papers that discuss the development, deployment, and impact of systems and solutions that leverage IoT in these areas. Additionally, we also welcome conventional research on topics related to smart cities and digital government from an information systems perspective, e.g., digital inclusion and digital democracy. While these can be from a policy, organizational, or social angle, the research questions and research focus should be socio-technical oriented. Submissions of all methodological orientations are welcome, be it qualitative, quantitative, design science, or mixed method.
Potential topics include (but are not limited to):
- Artificial Intelligence and Digital Government
- GenAI and Digital Government
- Citizen Participation
- Cybersecurity and Digital Government
- Digital Democracy
- Digital Government and Sustainability
- Digital Inclusion
- IoT and Smart Cities
- IoT and Digital Government
- Open Government and Open Government Data
- Private-Public Partnership
- Smart Communities
- Smart Resilient Cities
- Smart Sustainable Cities
Associate Editors (AEs):
- Weiling Ke, Southern University of Science and Technology, China
- Dapeng Liu, Baylor University, United States of America
- Sehl Mellouli, Université Laval, Canada
- Maryam Mirzaei, Auckland University of Technology, New Zealand
- Sedigheh Moghavvemi, Universiti Malaya, Malaysia
- Nurhidayah Bahar, Universiti Kebangsaan Malaysia, Malaysia
- Thuy-Tien Nguyuy, Auckland University of Technology, New Zealand
- Adegboyega Ojo, Maynooth University, Ireland
- Panos Panagiotopoulos, Queen Mary University of London, United Kingdom
- Sandeep Mysore Seshadrinath, University of New South Wales, Australia
- Gianluigi Viscusi, Imperial College, United Kingdom
- Tung-Mou Yang, National Taiwan University, Taiwan
- Nan Zhang, Tsinghua University, China
- Gwanhoo Lee, American University, United States of America
- Benjamin Dehe, Auckland University of Technology, New Zealand
Track 5: Human Computer Interaction
Track Title: Human–Computer Interaction
Track Co-Chairs:
Track Description:
Human–Computer Interaction (HCI) is a multi-disciplinary field that has attracted many researchers and practitioners from many different fields and areas. It focuses on the design, evaluation, and use of digital technologies with an explicit goal to improve user experiences, task performance, and quality of life. To better understand the interplay among users, technologies, tasks, and contexts, we need to carefully explore the HCI related topics from psychological, cognitive, social, and computational aspects among others. With the sweeping progress of ICT and digital technology, there are loads of research topics emerging from the HCI field, and the theoretical foundations and research methodologies are evolving.
The aim of this track is to provide a forum to address the increasing development and use of technologies in various contexts. Examples include but are not limited to human interactions with disruptive technologies, new business models of interaction design, novel interface and interaction designs to deal with AI and VR/MR technologies, ubiquitous affordances for information practices, and effective ways to understand user behaviors in business intelligence and cloud computing.
Potential topics include (but are not limited to):
- Aesthetic, emotional design and affective computing
- Applications and evaluation of human-computer symbiosis in various industry sectors
- Design affordances to facilitate the adoption and sustained use of ICT
- Designs for voice and conversational technology and interactions
- Designs for wearable, pervasive, and ubiquitous systems and computing
- Designs to facilitate human information seeking behavior on digital platforms
- Embedded IT applicationsincluding robotics/bots, AI systems, intelligent homes, spatial systems
- Human-machine collaboration
- Interactiondesign for a wide variety of challenges such as VR/AR applications
- Interaction design of neuro-physiological tools and devices
- Psychological, social and cultural aspects of human interaction with computer and robots
- User interaction and user experience (UI/UX)
- Self-tracking and life-logging via multiple wearable devices
Associate Editors (AEs):
- Azrina Kamaruddin, Universiti Putra Malaysia, Malaysia
- Benjiang Lu, Lanzhou University, China
- Bingqing Xiong, Deakin University, Australia
- Cheng Luo, Tianjin University, China
- Hemin Jiang,University of Science and Technology of China, China
- Honglin Deng, Tongji University, China
- Jiamin Yin, Renmin University of China, China
- Jinghui (Jove) Hou, University of Houston, United States of America
- Lam Meng Chun, Universiti Kebangsaan Malaysia, Malaysia
- Mingchuan Gong, Nanjing University of Science and Technology, China
- Renee Chen, Shenzhen University, China
- Tailai Wu, Huazhong University of Science and Technology, China
- Xiayu Chen, Hefei University of Technology, China
- Xixian Peng, Zhejiang University, China
- Yang Liu, Xi’an Jiaotong University, China
- Yulyani Arifin, Binus University, Indonesia
- Zhiyin Li, City University of Hong Kong, Hong Kong
Track 6: Information Security and Privacy
Track Title: Information Security and Privacy
Track Co-Chairs:
Track Description:
The “Information Security and Privacy” track at PACIS 2025 addresses the evolving challenges and opportunities in securing information systems within diverse and inclusive environments. Aligned with the conference theme, “Diversity & Inclusion in Information Systems,” this track explores how security and privacy measures can be designed to protect and empower varied user groups across cultural, organizational, and technological contexts. We invite research that advances both the technical and ethical dimensions of security, recognizing the importance of inclusive practices in addressing security risks, fostering digital resilience, and ensuring privacy in diverse digital ecosystems. This track aims to bridge the gap between technology and human-centric security approaches, encouraging submissions that consider cultural, social, and behavioral influences on security and privacy. This track welcomes a range of research methodologies, from empirical studies to conceptual and theoretical work, all focused on building resilient, inclusive, and adaptable security practices that respect and empower a globally diverse user base.
Potential topics include (but are not limited to):
- Privacy challenges and solutions for diverse user groups
- AI and machine learning for security, including ethical implications
- Challenges in AI-driven security and privacy applications e.g. biases
- Inclusive and ethical cybersecurity practices across cultural contexts
- Corporate strategies and governance for inclusive cybersecurity
- Socio-technical policies to counter cyber threats in diverse settings
- User behavior, trust, and accountability in privacy and security
- Security and privacy resilience in emerging technologies (IoT, blockchain, AI)
- Ethical considerations in data security, analytics, and AI-enabled systems
- Interdependent privacy and data ownership within diverse communities
- Cybersecurity awareness, education, and behavior across cultures
- Digital forensics and cybersecurity policy-making
- Cross-cultural impacts of cybersecurity regulations and compliance
Associate Editors (AEs):
- Lesley Land, University of New South Wales, Australia
- Mairead O’Connor, University of New South Wales, Australia
- Nina Schirrmacher, VU Amsterdam, Netherlands
- Ying Zhang, University of Auckland, New Zealand
- William Yeoh, Deakin University, Australia
- Rabiah Ahmad, Universiti Tun Hussein Onn Malaysia, Malaysia
- Nurul Nuha Abdul Molok, International Islamic University Malaysia, Malaysia
- Siti Hajar Othman, Universiti Teknologi Malaysia, Malaysia
- Siti Zainab Ibrahim, Taylor’s University, Malaysia
- Dan Choi, Cal-State Fullerton, United States of America
- Mohammad Rahimmi, Virginia Tech, United States of America
- Clay Posey, Brigham Young University, United States of America
- Jun Zhang, Wuhan University, China
Track 7: IS Education and e-Learning
Track Title: IS Education and e-Learning
Track Co-Chairs:
Track Description:
As the education landscape continues to evolve, the IS educator’s role has become increasingly complex and exciting. IS disciplines play a significant role in transforming society within this challenging landscape. While access to technology is increasing, it also highlights the significant diversity within societies and, therefore, the need for great inclusivity in practices in the design of IS education. Similarly, the widespread adoption of generative AI technologies, such as ChatGPT, has presented significant opportunities and challenges for higher education institutions. While these tools offer the potential to enhance learning experiences and facilitate innovative pedagogical approaches, they also raise concerns about academic integrity, critical thinking, and the future of traditional teaching methods.
In a world where innovation converges with education on a global stage, IS educators need to equip themselves for unpredictable futures; therefore, transforming education is essential. The primary aim of education should be to cultivate critical thinkers, innovative problem solvers, and influential global citizens.
This track aims to provide an opportunity for scholarship on teaching and learning through innovative models of education, curriculum, pedagogy, and digital learning. It seeks to provide researchers with a forum to submit high-quality submissions and share their empirical findings, research, teaching cases, approaches, and experience.
Potential topics include (but are not limited to):
- IS curriculum design, innovation, and model curricula
- Innovative pedagogical approaches and evaluation in IS education
- Digital Innovation in education, assessment and learning
- The role of IS/IT in society and education
- Digital learning environments
- Emerging technologies in e-learning
- Generative AI in IS education
- Education beyond generative AI
- Strategies and practices to promote equality, diversity and inclusion for quality IS education and lifelong learning
- Different modes of IS education (In-person, hybrid, online)
- Micro-credentialing and lifelong learning to meet ever-changing industry and societal demands
- Challenges and opportunities for IS education within a challenging academic integrity landscape
Associate Editors (AEs):
- Srikumar K.Ramayan, Sunway University, Malaysia
- Priyadharshini Ahrumugam, Sunway University, Malaysia
- Yesuselvi Manickam, Sunway University, Malaysia
- Tom Townsend, University of New South Wales, Australia
- Pritika Reddy, Fiji National University, Fiji
- Naima Iftikhar, Western Sydney University, Australia
- Robina Tinawin, INTI International/Swinburne University of Technology, Malaysia
- Chengxu Zheng, National University of Singapore, Singapore
- Na Liu, University of Sydney, Australia
- Ajrina Hysaj, The University of Wollongong – Dubai, United Arab Emirates
Track 8: IS Innovation, Adoption, and Diffusion
Track Title: IS Innovation, Adoption, and Diffusion
Track Co-Chairs:
Track Description:
We are witnessing a pioneering era marked by a significant digital revolution, where technology-driven advancements are fundamentally reshaping the design, development, and management of information systems (IS). Transformative technologies such as digital platform, blockchain, extended reality, generative artificial intelligence, and human augmentation offer unprecedented opportunities to revolutionize industries and unlock vast social and economic potential. These innovations can create new possibilities for growth, efficiency, and connectivity within and beyond organizations. However, they also introduce complex economic, social, technological, and ethical challenges that demand careful consideration and thoughtful solutions to ensure responsible and equitable integration into society.
Existing research on IS innovation, adoption, and diffusion has enhanced our understanding of how IS influences individual behaviors, group dynamics, organizational practices, societal interactions, and national development. However, addressing emerging challenges like discrimination, fraud, and blurred usage boundaries alongside evolving technologies requires rethinking current theories and developing innovative approaches.
This track invites research that offers fresh theoretical and methodological perspectives on IS innovation, adoption, and diffusion. Studies exploring the intersections of emerging technologies with economic, societal, and ethical challenges are particularly valued, aiming to deliver meaningful insights. We welcome research employing novel conceptual, analytical, design-oriented, or empirical approaches, offering theoretical originality and practical relevance.
Potential topics include (but are not limited to):
- Adoption and diffusion of IS innovation in new contexts or emerging groups
- Co-creation of responsible IS adoption and use experiences.
- Comparative analysis of IS adoption, and diffusion across user groups and settings
- Dark Sides of IS innovation, adoption and use experiences
- Enablers and inhibitors of IS innovation, adoption, and diffusion
- Impacts (or unintended impacts) of IS innovation, adoption, and diffusion on the future of nations, organizations, societies, and individuals
- Innovative uses of digital technologies and impacts (both negative and positive)
- Multi-level analysis of IS innovation, adoption, and diffusion
- New theoretical perspectives on IS innovation, adoption, and diffusion
- New methodological approaches for researching IS innovation, adoption, and diffusion
Associate Editors (AEs):
- Syed Nasirin, Universiti Malaysia Sabah, Malaysia
- Jyoti Choudrie, Hertfordshire Business School, United Kingdom
- Bin Fang, Xiamen University, China
- Minjeong Ham, Nagoya University of Commerce & Business, Japan
- Kevin K.W. Ho, University of Tsukuba, Japan
- Noorminsah Iahad, Universiti Teknologi Malaysia, Malaysia
- Jenny Jin, Chinese University of Hong Kong, Hong Kong
- Prasanna Karhade, Chinese University of Hong Kong, Hong Kong
- Ricardo Lim, Nagoya University of Commerce & Business, Japan
- Yi Liu, Rennes School of Business, France
- Adam Dilip Mutum, Monash University, Malaysia
- Lingyun Qiu, Peking University, China
- Jinan Shao, University of Nottingham Ningbo China, China
- May Wang, Beijing Normal University-Hong Kong Baptist University United International College, China
- Ali Vafaei Zadeh, Universiti Sains Malaysia, Malaysia
- Jingzhi Zhang, Beijing Normal University-Hong Kong Baptist University United International College, China
- Melody Zou, University of Warwick, United Kingdom
Track 9: Digital Transformation and Innovation
Track Title: Digital Transformation and Innovation
Track Co-Chairs:
Track Description:
In an era of rapidly evolving digital technologies, preparing the next generation for an IT-driven future is paramount. The Digital Transformation and Innovation track focuses on exploring the latest advancements and strategies in digital transformation that empower organizations and individuals to thrive in this dynamic landscape. This track will explore innovative approaches to leveraging digital technologies to drive business growth, enhance customer experiences, and create new value propositions. Key topics include digital transformation strategies, factors, processes, impacts, and models/frameworks; innovation in digital products and services; digital transformation in small and medium-sized enterprises; digital transformation in government organizations/public sector; digital leadership and change management; digital skills and competencies for the future workforce; and sustainable digital transformation. By addressing these areas, the track aims to provide valuable insights and practical solutions for preparing the next generation for the challenges and opportunities of the IT-driven future.
Potential topics include (but are not limited to):
- Digital transformation strategies and frameworks
- Innovation in digital products and services
- Digital transformation in small and medium-sized enterprises (SMEs)
- Digital skills and competencies for the future workforce
- The impact of digital transformation on customer experience and engagement
- Sustainable digital transformation and green IT
- Digital transformation in traditional industries (e.g., manufacturing, retail)
- Data-driven innovation and digital transformation
- Digital leadership and change management
- The impact of digital transformation on organizational culture and employee engagement
- The role of artificial intelligence and machine learning in digital transformation (with a focus on integration rather than development)
- Cybersecurity and data privacy in the digital age (with a focus on implementation in digital transformation)
- Case studies and best practices in digital transformation
- Digital transformation in the public sector and government services
- Digital transformation and innovation in emerging markets
Associate Editors (AEs):
- Supunmali Ahangama, University of Moratuwa, Sri Lanka
- Agam Gupta, Indian Institute of Technology Delhi, India
- Kristijan Mirkovski, Deakin University, Australia
- Anik Mukherjee, Indian Institute of Management Calcutta, India
- Muhammad Irwan Padli Nasution, Universitas Islam Negeri Sumatera Utara, Indonesia
- Dinar Mutiara Kusumo Nugraheni, Universitas Diponegoro, Indonesia
- Carol Ou, Tilburg University, Netherlands
- Peng Ling, Lingnan University, Hong Kong
- Catherine Sijia Ma, Tilburg University, Netherlands
- Vivek Singh, University of Missouri, St. Louis, United States of America
- Anushka Siriwardana, RMIT University Vietnam, Vietnam
- Santoso Wibowo, Central Queensland University, Australia
- Yang Cenying, City University of Hong Kong, Hong Kong
Track 10: IS Design, Development, and Project Management
Track Title: IS Design, Development, and Project Management
Track Co-Chairs:
Track Description:
The emergence of new quality of technologies such as mobile|cloud|spatial|quantum computing, artificial intelligence, blockchain, and the Internet of Things has significantly transformed how Information Systems (IS) are conceptualized, developed, and managed within organizations. For example, the transformation of processes through Machine Learning (ML) and Artificial Intelligence (AI) has influenced nearly every aspect of IS design, development, and project management. Additionally, IS Development (ISD) processes are now integrating operations with cross-functional software teams (e.g., DevOps) and involve generative AI to handle complexity and respond swiftly to changing market conditions. This new hybrid (human-machine) ISD process triggers entirely new research challenges, one of them being the call for responsible ISD.
The widespread availability of open-source tools, no-/low-code systems and the growing options for outsourcing and crowdsourcing enable organizations to efficiently devise innovative solutions to complex challenges. New software development methodologies, combined with diverse software platforms and application environments, offer IS project managers a broader range of approaches to design and development, tailored to organizational contexts, personnel skills, and task requirements. However, despite the dynamic and intricate nature of IS projects, many still exceed budgets, extend beyond schedules, and deliver products that differ from what was anticipated, needed, or preferred.
Given that ISD remains crucial in shaping the strategic direction of organizations and helping them gain and maintain a competitive edge, researchers have unique opportunities to explore not only the social, organizational, and technical challenges and risks associated with ISD project management but also the theoretical foundations of the various practices that have evolved over time.
This track invites papers that enhance our understanding of the dynamic and complex nature of IS design, development, and project management in the digital era. We are particularly interested in papers that advance the theory and practice of emerging technologies in the context of dispersed organizational settings where ISD and project management frequently occur. We welcome all types of research, including empirical, analytical, conceptual, and simulation-based studies that address the social and technical aspects of IS design, development, and project management at the organizational, group, and individual levels.
Potential topics include (but are not limited to):
- Agile, lean, and DevOps approaches to IS design, development, and project management
- Privacy and security issues in IS development, including cybersecurity/-trust
- Responsible IS design, development and project management
- The role of AI/ML and robotics in IS design, development, and project management
- Technical and organizational challenges of designing and developing algorithmic/ML systems
- Regulation and compliance issues in IS design, development, and project management
- Socio-technical aspects of IS design, development, and project management
- Sourcing of IS projects, including multi-sourcing, cloud services, and crowdsourcing
- Project management challenges in IS projects, including estimation, risk, quality assurance, governance, knowledge, team dynamics, and managing organizational change
- Managing co-located and distributed IS projects and teams
- The role of stakeholders in IS design, development, and implementation
- IS project management capabilities, competence, and maturity
- Leadership challenges and politics in IS project management
- Novel theoretical perspectives and research approaches that broaden or question our understanding of IS design, development, and project management
Associate Editors (AEs):
- Sabine Matook, University of Queensland, Australia
- Jens Pöppelbuß, Ruhr-University Bochum, Germany
- Kasuni Weerasinghhe, Auckland University of Technology, New Zealand
- Karlheinz Kautz, RMIT University, Australia
- Jacob Tsai, National YunLin University of Science and Technology, Taiwan
- Abhishek Tripathi, College of New Jersey, United States of America
- Ma. Beth Concepcion, West Visayas State University, Philippines
- Mali Senpathi, Auckland University of Technology, New Zealand
- Ryan Ebardo, De La Salle University, Philippines
Track 11: IT Strategy, Leadership, Sourcing and Governance
Track Title: IT Strategy, Leadership, Sourcing and Governance
Track Co-Chairs:
Track Description:
The advent of innovative digital technologies, such as those related with mobile, platforms, cloud computing, analytics, artificial intelligence (AI), blockchain, and internet of things (IoT), represent game-changing opportunities for organizations. Organizations are experimenting with and implementing various digital products, solutions and services to improve customer experiences, supplier integration, and internal operational efficiency. As such, significant challenges pertaining to governance and IS value are salient and require ongoing discussions and research exploration.
For example, how do organizations and management appraise the business value of digital innovations such as Large Language Models (LLM) and other AI-enabled processes? How do organizations manage the governance of such digital and AI-enabled capabilities in terms of organizational designs or managerial approaches? How do organizations deal with decentralization versus centralization AI-enabled value creation? What are the implications of such designs and approaches on organizational and inter-organizational collaboration trajectories? At the same time, how does the use of such digital technologies and the digital transformation that follows enable new organizational structures, leadership design, business operations, and ways of building inter-organizational collaborations such as joint ventures and sourcing engagements? Together, these questions show that we need further assessment of the impact of digital technologies and transformation processes within the strategic management context.
We invite thought-provoking, original, and high-quality research articles that expand and challenge our understanding of strategic management, leadership, sourcing and governance of IS. We encourage interdisciplinary approaches leveraging theories from information systems, strategic management, economics, and other fields. We welcome papers using a wide range of research methods, including qualitative, quantitative, experimental, and design science approaches.
Potential topics include (but are not limited to):
- Digital business strategy and management
- Strategy to leverage advanced technologies, such as analytics, AI, blockchain, etc.
- AI on premises versus AI cloud-based computing impact.
- Organizations on Sovereign AI.
- Digital platform strategy and governance
- Strategies and governance of online marketplaces
- Strategies and value of digitally enabled networks
- Digital architectures and IT governance models
- Strategies for digitalization and transformation of work
- Strategic business/IT alignment and value creation
- Governance of enterprise or inter-organizational IS/IT applications and services
- New business models enabled by digital innovations
- The management and governance of digital sourcing
Associate Editors (AEs):
- Feng Guo, Tianjin University, China
- Aihui Chen, Tianjin University, China
- Xiuyan Shao, Southeast University, Bangladesh
- Zhongtao Hu, Hebei University of Technology, China
- Xiaopan Wang, Zhejiang Gongshang University, China
- Ely Salwana, Universiti Kebangsaan Malaysia, Malaysia
- Zahidah Zulkifli, International Islamic University Malaysia, Malaysia
- Kamarul Faizal Hashim, University of Dubai, United Arab Emirates
- Benjamin G. Sanders, University of Winchester, United Kingdom
- Zarul Fitri Zaaba, Universiti Sains Malaysia, Malaysia, Malaysia
- Norshita Mat Nayan, Universiti Kebangsaan Malaysia, Malaysia
- Mohamad Taha Ijab, Universiti Kebangsaan Malaysia, Malaysia
Track 12: Social Media and Digital Collaboration
Track Title: Social Media and Digital Collaboration
Track Co-Chairs:
Track Description:
Social media and digital collaboration are pivotal in connecting people and fostering social and collaborative interactions through digital technologies. Social media profoundly impacts individual, organizational, and societal life, serving as a primary news source, a platform for social networking, and a means for personal branding. For organizations, it enables customer engagement, brand building, and global influence, while for society, it supports social movements, promotes political values, and provides essential services. However, challenges persist, including misinformation, cyberbullying, data privacy issues, and filter bubbles.
Digital collaboration has become indispensable in achieving diverse goals across business and society, with its importance amplified post-pandemic. From small teams to large organizations, digital tools enable a wide range of collaborative activities, such as open innovation, remote and hybrid work, knowledge-sharing communities, and human-machine partnerships. Advanced technologies like AI agents and digital platforms enhance the exchange of knowledge and resources but also raise concerns about fairness, intellectual property, workload management, and collaboration quality.
This track invites innovative research on social media and digital collaboration, welcoming studies that provide new insights, employ diverse methodologies, or challenge conventional perspectives. We seek empirical, methodological, and conceptual research from various theoretical frameworks, aiming to deepen understanding of these core areas and their societal impact. Submissions that push boundaries or examine emerging dynamics in social media and collaboration technologies are encouraged.
Potential topics include (but are not limited to):
- Understanding the value and impact of information content on social media
- Exploring multidimensional effects of social media
- Collaboration spanning online and offline interactions
- Interactions (or lack of), competition or collaboration between social media groups
- Intra-and-inter-enterprise use of social media or digital collaborations
- Promoting resilience and integration of work-from-home into organizations
- Influence of social media and digital collaborations on changing nature of work
- Digital collaboration practices within and across organizations
- Digital collaboration practices between organizations, society and individuals
- Leveraging social media or digital collaboration for agility
- Management of social media or digital collaboration
- Novel theories about social media or digital collaboration and its effects on individuals, organizations, and/or societies
- Novel designs of social media or digital collaboration to encourage information diffusion, knowledge sharing, and/or better collaboration dynamics
- Novel algorithms for the facilitation of social media interactions or digital collaboration
- Novel qualitative or quantitative methods of assessing social media or digital collaboration
- New method development (e.g., econometric or data-science methods) to study and better harness the business potential of social media or digital collaboration
- Prediction and nowcasting using social media data
- Reputation and trust in social media or digital collaboration
- Impact of social media on information exposure and consumption
- Negative aspects of social media or digital collaboration, and their mitigation strategies, methods or designs
- Use of social media or digital collaboration to combat environmental crises
- Use of social media or digital collaboration for political participation and societal challenges
- Novel user interfaces and user interaction modes for digital collaboration (e.g., immersive technologies)
- AI enhanced collaboration processes
- The collaboration of AI-based systems with social media users (e.g., identifying fake news with ML, delivering facts in echo chambers with conversational agents or social bots)
Associate Editors (AEs):
- Haifen Lin, Dalian University of Technology, China
- Yicheng Zhang, Huazhong University of Science and Technology, China
- Xuanqi Liu, Hunan University, China
- Xiaoying Xu, South China University of Technology, China
- Junhui Jiang, South China University of Technology, China
- Phang Ing, Universiti Malaysia Sabah, Malaysia
- Suaini Sura, Universiti Malaysia Sabah, Malaysia
- Lilian Anthonysamy, Multimedia University, Malaysia
- Mohd Heikal Husin, Universiti Sains Malaysia, Malaysia
- Nor Athiyah Abdullah, Universiti Sains Malaysia, Malaysia
- Nursakirah Ab. Rahman Muton, Universiti Sains Malaysia, Malaysia
- Masoud Afshari Mofrad, University of Macquarie, Australia
- Stella Peng, University of Melbourne, Australia
- Ting Song, University of Wollongong, Australia
- Thu Ha Dang, University of Swinburne, Australia
- Sameera Vithanage, University of Melbourne, Australia
- Boying Li (Belle), University of Nottingham Ningbo China, China
Track 13: Digital Platform and Ecosystems
Track Title: Digital Platform and Ecosystems
Track Co-Chairs:
Track Description:
Digital platforms and ecosystems have fundamentally reshaped economic and social interactions, accelerating growth in sectors like e-commerce, ridesharing, and app development. Recently, emerging technologies such as generative AI, blockchain, and decentralized finance (DeFi) are further transforming these platforms, challenging traditional business models and governance structures. Today, platforms face new complexities and opportunities as they navigate issues such as data privacy regulations, the integration of artificial intelligence, and shifts toward open and interoperable systems.
As digital platforms operate in a multi-stakeholder environment, they increasingly address complex regulatory landscapes and heightened user expectations for transparency, data control, and ethical AI practices. Additionally, the emergence of Web3 and decentralized platforms presents unique challenges for traditional platforms, demanding new governance models and frameworks that balance control with community-driven decision-making. Against this backdrop, platform leaders must remain attuned to the dual forces of network effects and regulatory compliance, carefully managing interoperability, compatibility, and data-sharing protocols to foster sustainable ecosystems.
In response to these shifts, this track invites research that explores the latest challenges and opportunities within digital platforms and ecosystems. We welcome studies on platform governance, AI integration, decentralization, data ethics, and environmental sustainability across various markets and contexts. Methodologically diverse and forward-looking submissions that advance theoretical and practical understanding are encouraged.
Our goal is to foster scholarly discourse, providing insights that enhance academic understanding and offer actionable guidance for practitioners navigating today’s rapidly evolving digital ecosystem landscape.
Potential topics include (but are not limited to):
- Novel practices or insights on managing digital platforms and ecosystems
- Joint innovation and entrepreneurship on digital platforms and ecosystems
- Platform leadership and development strategies
- Governance and regulation of digital platforms and ecosystems
- Network effects and externalities of ecosystems
- Emerging business models, competitive strategies, and value co-creation activities on digital platforms
- Platform participants’ behaviors and their interactions with platforms
- Sustainable development for digital ecosystems
- “Dark side” of digital platforms and ecosystems
- Privacy and security issues on digital platforms
- Social networks in digital platforms
- Human resource management of digital platforms
- Economic and social implications of digital platforms and ecosystems
- Design and implementation of digital platform architecture or infrastructure
- The make-or-join decision for digital platforms and ecosystems
- The antecedents, nature, and consequences of digital platform success
- Leveraging Digital Platforms for Inclusive Innovation
Associate Editors (AEs):
- Raffaele F Ciriello, University of Sydney, Australia
- Liudmila Zavolokina, University of Lausanne, Switzerland
- Juan Camilo Giraldo-Mora, London School of Economics and Political Science, United Kingdom
- Yoshiaki Fukami, Tokyo University of Science, Japan
- Suraya Miskon, Universiti Teknologi Malaysia, Malaysia
- Stuart McLoughlin, Swinburne University of Technology, Australia
- Rachelle Bosua, Deakin University, Australia
- Melissa Baba, University of Southampton, United Kingdom
- Oliver Krancher, IT University of Copenhagen, Denmark
- Eleunthia Ellinger, Stockholm School of Economics, Sweden
- Shahdatunnaim Azmi, Universiti Tun Hussein Onn Malaysia, Malaysia
- Aslina Baharum, Sunway University, Malaysia
- Aidi Ahmi, Universiti Utara Malaysia, Malaysia
- Ahmad Najmi bin Amerhaider, Universiti Teknologi Malaysia, Malaysia
- Masoumeh Zibarzani, Alzahra University, Iran
- Mangair Karasi Manickam, Sunway College, Malaysia
- Jamshed Memon, Kudelski Security, United Kingdom
- Amy Hamijah Ab Hamid, Nuklear Malaysia, Malaysia
- Khamis Haji Salum, State University of Zanzibar, Tanzania
Track 14: Blockchain and Fintech
Track Title: Blockchain and Fintech
Track Co-Chairs:
Track Description:
As Blockchain and Fintech independently drive innovation across the digital economy, this track seeks to explore the unique as well as converging trajectories of these two powerful fields. Blockchain technology has advanced from its early days with Bitcoin to become a transformative platform for decentralized applications, supporting secure, transparent, and tamper-resistant solutions across finance, supply chains, healthcare, energy, and beyond. In parallel, Fintech has emerged as a dynamic domain that utilizes a broad spectrum of digital tools including, but not limited to, Blockchain, to enhance financial services, market accessibility, customer engagement, and operational efficiency.
Fintech innovations, leveraging technologies such as Artificial Intelligence (AI), big data analytics, and cloud computing, are redefining finance independently of Blockchain. From AI-powered trading algorithms and robo-advisory services to digital lending and personalized financial products, Fintech is revolutionizing customer interactions and democratizing access to financial services. At the same time, the potential integration of Blockchain within Fintech introduces additional possibilities, such as the facilitation of decentralized finance (DeFi) and enhanced data security through decentralized ledgers. This track welcomes research that examines both Blockchain and non-blockchain-based Fintech innovations, offering a platform to discuss their individual and collaborative roles in reshaping finance.
Potential topics include (but are not limited to):
- Theoretical advancements in Blockchain and Fintech
- Security, privacy, trust, and governance in Blockchain and Fintech applications
- Algorithms, architectures, and protocols for decentralized or centralized financial solutions
- Innovations in Fintech, including AI-driven financial services, digital banking, and algorithmic trading
- Blockchain-based fintech like Decentralized Finance (DeFi), Non-Fungible Tokens (NFTs), Decentralized Autonomous Organizations (DAOs), and metaverse economies
- Tokenization strategies for digital and physical assets
- Applications of Blockchain and AI in financial market insights, risk management, and compliance
- Sustainable finance and ESG compliance solutions in Fintech and Blockchain ecosystems
- User engagement and interaction design within Fintech and Web3 applications
- The social and economic impact of Blockchain and Fintech on emerging markets
Associate Editors (AEs):
- Mengyao Fu, Deakin University, Autralia
- Xuecheng Luo, Shanghai International Studies University, China
- Fangfang Hou, Xi’an Jiaotong-Liverpool University, China
- Sunny Zheng, University of Nottingham Ningbo, China
- Chaofan Yang, Xi’an Jiaotong University, China
- P.K Senyo, University of Southampton, United Kingdom
- Jakia Sultana, Deakin University, Australia
- Mira Slavova, Warwick University, United Kingdom
- Lucas Göbeler, University of Hamburg, Germany
- Lin Yue, Macquarie University, Australia
- Qian Sun, University of Chinese Academy of Sciences, China
- Baidyanath Biswas, Trinity College Dublin, Ireland
Track 15: Emerging Technologies and IS Topics
Track Title: Emerging Technologies and IS Topics
Track Co-Chairs:
Track Description:
The Emerging Technologies and IS Topics track explores how rapid advancements in technology are reshaping the landscape of Information Systems (IS), creating transformative impacts across individuals, organizations, and society. This track invites pioneering research that explores the potential of breakthrough technologies, such as artificial intelligence, blockchain, extended reality, and quantum computing, to disrupt traditional paradigms and address modern challenges. By examining these technologies both individually and in convergence, we aim to uncover their influence on sustainable development, ethical considerations, and digital equity while addressing the critical importance of cybersecurity. Research in this track seeks to challenge and refine IS theories in the face of emerging technologies, develop new methodologies, and explore interdisciplinary intersections to illuminate the environmental, social, and economic dimensions of digital transformation. We welcome empirical studies, theoretical contributions, case studies, and design science research that offer novel insights into how these technologies are shaping the future of IS.
Potential topics include (but are not limited to):
- Adaptive AI and Machine Learning Models
- Ethical and Responsible AI Practices
- Virtual and Augmented Reality Applications in Industry
- Quantum Computing Breakthroughs and IS Implications
- Blockchain for Decentralized Finance (DeFi) and Governance in Web3
- Green Computing and Sustainable IS Practices
- Human-Technology Interaction and Neuro-IS
- Digital Twins in Urban Planning and Manufacturing
- AI-Driven Cybersecurity Solutions
- Addressing Algorithmic Bias and the Digital Divide
- Convergence of AI, IoT, Blockchain, and XR in Solving Societal Issues
- Autonomous AI Agents for Virtual Workforce Applications
- AI Governance Platforms and Responsible AI Use
- Technologies for Disinformation Detection and Prevention
- AI Avatars in E-Commerce and Virtual Assistance
- Smart Spaces Enhanced by IoT and AI
- Generative AI for Content Creation
- Quantum Cryptography and Security Applications
- 5G Technology and Its IS Implications
- Carbon Management Technologies for Net-Zero Goals
- Ethics of Brain-Computer Interfaces and Wearable Technology
- Digital Transformation and Privacy Implications
- Data Centers and Energy-Efficient Infrastructures
- Social Impacts of Autonomous Vehicles and AI in Transport
Associate Editors (AEs):
- Luke Younghoon Chang, University of Nottingham Ningbo China, China
- Dong Lyu, Shanghai University of Engineering Science, China
- Furong Jia, Xi’an Jiaotong-Liverpool University, China
- Minghuan Shou, Hangzhou Dianzi University, China
- Xueqi Bao, Ningbo University of Technology, China
- Chih-Yuan Chou, National Chengchi University, Taiwan
- Cheng-Kui Huang, National Chung Cheng University, Taiwan
- Kevin K. W. Ho, The University of Tsukuba, Japan
- Yu-Li Hung, National Chung Cheng University, Taiwan
- Anjali Munde, University of Southampton Malaysia, Malaysia
- Mohammad Abdullah, University of Southampton Malaysia, Malaysia
- Lim Ean Heng, Universiti Tunku Abdul Rahman, Malaysia
- Zurida Binti Ishak, Universiti Tunku Abdul Rahman, Malaysia
- Mailasan Jayakrishnan, Universiti Tunku Abdul Rahman, Malaysia
- Suthashini Subramaniam, Universiti Tunku Abdul Rahman, Malaysia
Track 16: IS for Resilience and Sustainable Development
Track Title: IS for Resilience and Sustainable Development
Track Co-Chairs:
Track Description:
The rapid deterioration of our environment, climate change, and disruptions due to geopolitical, pandemic, and other unprecedented factors pose significant challenges for organizations and communities in staying viable. To protect our environment and society, the United Nations set the 2030 Agenda for Sustainable Development, introducing 17 Sustainable Development Goals (SDGs). These goals address climate change and focus on preserving vital ecosystems. They emphasize the interconnectedness of environmental, social, and economic dimensions of sustainable development. Information systems are essential for tackling global sustainability challenges and building a resilient, sustainable future.
This track focuses on the role of information systems in promoting resilience and advancing sustainable development. Advanced technologies such as automated, artificial intelligence (AI) and other data-centric technologies offer novel opportunities and pose significant challenges to society at the scale and scope that set them apart from the previous generations of digital technologies. On the one hand, these digital technologies hold unprecedented promise in advancing economic, social, and environmental sustainability and addressing existing problems such as inequality, injustice, human rights violations, climate change, and environmental damages, among others. However, much of the current understanding and debates focus on the potential of digital technologies and their ideal and frictionless use scenarios. As a result, much less is known about their impacts on resilience and sustainable development. For instance, preliminary studies suggest that technologies such as AI will reshape work and transform a workplace in complex and unexpected ways. These transformations are likely to produce a profound change to work configurations with a radical shift in human skills and greater risks and harm, particularly for those who do not have control of the design and use of these emerging technologies.
We invite research that illustrates how information systems can bolster resilience, enabling societies, businesses, and communities to endure disruptions, while simultaneously advancing sustainable development goals.
Potential topics include (but are not limited to):
- Roles of information systems and digital technologies in promoting specific sustainable development goals within organizations and communities
- Roles of digital technologies in transition pathways to social, economic and environmental sustainability
- Creative socio-technical innovations with societal and/or environmental sustainability impacts
- Impact of digital transformation on organizational resilience and/or sustainability performance
- Unintended consequences of digital technology implementation for enhancing sustainability performance
- Enablers and barriers to achieving resilience and sustainable development goals from information systems and digital technologies within organizations and supply chains
- Case studies of successful information systems implementations that have contributed to resilience and sustainability within an organization, supply chain, or community
- Innovative applications of advanced technologies (e.g., Blockchain, AI, IoT) to enhance resilience and sustainability
- Roles of information systems and digital technologies in sustainable supply chain management initiatives and decarbonization
- Adoption, implementation and impacts of IS-enabled circular economy initiatives
Associate Editors (AEs):
- Alemayehu Molla, RMIT, Australia
- Amin Hosseinian Far, University of Hertfordshire, United Kingdom
- Amit Das, Ahmedabad University, India
- Ari Happonen, LUT University, Finland
- Devinder Thapa, University of Agder, Norway
- Imairi Eitiveni, Universitas Indonesia, Indonesia
- Inna Sosunova, LUT University, Finland
- Luthfi Ramadani, Telkom University, Indonesia
- Marc Cheong, The University of Melbourne, Australia
- Pragyan Thapa, University of Agder, Norway
- Ramayah Thurasamy, Universiti Sains Malaysia and Sunway University, Malaysia
- Rohit Nishant, Queen’s University, United Kingdom
- Salihu Ibrahim Dasuki, Manchester Metropolitan University, United Kingdom
- Samrat Gupta, IIM Ahmedabad, India and University of Agder, Norway
- Stephen McCarthy, University College Cork, Ireland
- Sharon Wagg, University of Sheffield, United Kingdom
Track 17: Advances in Research Methods
Track Title: Advances in Research Methods
Track Chair:
Track Description:
Along with the significant development in digital technologies in recent years, innovative research methods and techniques have emerged. Building on solid epistemological foundations, these advancements provide opportunities to obtain rich insights and produce breakthrough discoveries in the information systems field.
This track on “Advances in Research Methods” aims to bring together scholars addressing diverse topics, including behavioral, organizational, economics, design science and computational data science to discuss innovative ways of collecting and analyzing data. We welcome papers that demonstrate novel applications of quantitative, qualitative, and design science research methods, such as survey, experiment, econometrics, machine-learning, deep learning, and case study, to address IS-related questions or employ new methods altogether.
Potential topics include (but are not limited to):
- Advancements in research methods, including but not restricted to surveys, experiments, case studies, econometrics, machine learning and computational methods, data/text mining, visual analytics, and design science research that enable new insights into contemporary digital phenomena
- How novel research methods can resolve the shortcomings of existing approaches or address new problems/challenges relevant to the digital world
- How different research methods can be employed innovatively to address each other’s shortcomings, so as to generate richer and more comprehensive insights
- How advances in research methods can help in better theorizing and contribute towards the development of new IS theories
- Opportunities to bring in methods from other fields that may afford novel insights to be uncovered for IS research topics
- Latest statistical models and algorithms that can handle complex data structures and relationships entailed in digital phenomena
- Ethical dilemmas of research methods, including issues related to informed consent, privacy, data security, and the responsible use of research findings
- Strategies for enhancing the reliability and validity of research findings, such as techniques for reducing bias and validating research instruments
- New approaches to theorizing from qualitative data
- New approaches to generating design knowledge from design science research
- Deductive, inductive and abductive inference in the analysis of data
- Ethical use of computer-assisted qualitative data analysis software (CAQDAS)
- Phenomenological research approaches: transcendental, hermeneutic and embodiment phenomenology
Associate Editors (AEs):
- Jiye Baek, Korea University, South Korea
- Jin Chen, University of Nottingham Ningbo China, China
- Xiao Han, Beihang University, China
- Qingxin Meng, University of Nottingham Ningbo China, China
- Camen Teh, NEOMA Business School, France
- Zhiguo Xiao, Fudan University, China
- Yinan Yu, University of Oklahoma, United States of America
- Yueyue Zhang, University of Nottingham Ningbo China, China
- Eduardo Diniz, Escola de Administração de Empresas de São Paulo da Fundação Getulio Vargas, Brazil
- José Antonio Robles Flores, ESAN University, Peru
- Narges Safari, Macquarie University, Australia
- Cathy Urquhart, Manchester Metropolitan University, United Kingdom
- Osama Mansour, Lund University, Sweden
- Lu Cao, University West, Sweden
- Antragama Abbas, University of Luxembourg, Luxembourg
- Philipp zur Heiden, Paderborn University, Germany
Track 18: IS Practitioner Oriented Research
Track Title: IS Practitioner Oriented Research
Track Co-Chairs:
Track Description:
This track invites authors (academics and practitioners) to submit credible research that provides rich stories, unique insights, and useful conceptual frameworks for information systems practice. The target audience of these papers includes both practitioners and researchers, with a primary focus on research that is immediately relevant and useful for practice. Perspective authors can base their papers on single or multiple cases, field interviews, field experiments, action research, and/or descriptive surveys coupled with in-depth cases. The manuscripts submitted to this track should focus on pressing problems or opportunities directly relevant to practitioners in the information systems field. Perspective authors should demonstrate the research’s potential to make a positive impact on real-world practice, discussing how results can be applied by digital leaders to solve the problem or take advantage of the opportunity. To do so, submissions should flesh out best practices and/or actionable, prescriptive recommendations addressed to practitioners. We do not expect submissions aimed at contributing to theory but rather aimed at discussing and solving practical problems.
Potential topics include (but are not limited to):
- Design, implementation, use of artificial intelligence (AI) in organizations
- Business applications of blockchain
- Digital innovation and transformation
- Generating revenues with generative AI
- Emerging technologies and business ethics
- Cybersecurity initiatives in organizations
- Digital capabilities in manufacturing
- Digital service innovation (healthcare, for instance)
- Strategic applications of digital twins
- Robotic process automation
Associate Editors (AEs):
- Chris Felstead, Swinburne University of Technology, Australia
- Christoph Breidbach, University of Queensland, Australia
- David Murungi, Bentley University, United States of America
- Divinus Oppong-Tawiah, York University, Canada
- Federico Iannacci, Sussex University, United Kingdom
- Javad Pool, University of Queensland, Australia
- Jessica Ho, NSW Government, Australia
- Katie Williams, University of Queensland, Australia
- Ranjan Vaidya, Auckland University of Technology, New Zealand
- Rod Dilnutt, University of Melbourne/KM Consulting, Australia
- Silvia Masiero, University of Oslo, Norway
- Tapani Rinta-Kahila, University of Queensland, Australia
- Kia Kashi, Australia and New Zealand Banking Group, Australia
Track 19: General Topic and Future of IT
Track Title: General Topic and Future of IT
Track Co-Chairs:
Track Description:
Information Systems (IS) is a rapidly evolving domain that shapes and redefines numerous aspects of modern life. Technological advancements have significantly transformed our lives, work, and communication. This track aims to explore several key IT trends that influence current developments and potentially shape the future of industries, businesses, and society as a whole.
1. Artificial Intelligence (AI) and Machine Learning (ML)
Artificial Intelligence (AI) and Machine Learning (ML) are among the most transformative trends in IS. AI encompasses developing computer systems capable of performing tasks that typically require human intelligence, such as natural language processing, pattern recognition, and decision-making. ML, a subset of AI, involves algorithms that enable machines to learn from data and improve their performance over time. AI and ML are revolutionizing industries, such as healthcare, finance, and manufacturing. For instance, AI is used in healthcare to develop innovative treatments, improve patient outcomes, and reduce operational costs.
2. Cloud Computing
Cloud computing has fundamentally altered how businesses and individuals utilize technology. This paradigm allows for the delivery of computing services, such as servers, storage, databases, software, and analytics via the Internet. By leveraging the cloud infrastructure, organizations can access powerful computing resources without significant capital investment in physical hardware or the complexities of managing IT infrastructure. Cloud computing offers cost savings and enhances scalability, flexibility, and the ability to process and analyze large volumes of data efficiently.
3. Cybersecurity and Data Privacy
As digital transformation accelerates, cybersecurity and data privacy concerns have become more pressing. With an increasing number of online personal and business activities, the risk of cyberattacks has grown, with potential consequences such as data breaches, financial losses, and reputational damage. In response, organizations prioritize implementing robust cybersecurity measures, including firewalls, encryption, and multifactor authentication. Furthermore, the growing emphasis on data privacy, particularly in light of regulations such as the GDPR, underscores the importance of protecting sensitive information and maintaining customer trust.
4. The Internet of Things (IoT)
The IoT has revolutionized the interconnectedness of everyday objects. By embedding sensors, software, and connectivity into devices such as vehicles, home appliances, and industrial equipment, the IoT enables the collection and sharing of data across networks. This technology facilitates automation in various contexts, from smart homes that regulate temperature and lighting, to industrial systems that monitor and optimize production processes. IoT can potentially transform industries such as healthcare, transportation, and manufacturing, further driving automation and efficiency.
5. 5G and Edge Computing
5G and edge computing are poised to redefine the digital landscape by enabling faster, more reliable Internet connectivity and more efficient data processing. As the fifth generation of mobile networks, 5G promises to offer higher speeds and lower latency, facilitating the development of technologies, such as autonomous vehicles and augmented reality. On the other hand, edge computing involves processing data closer to the source, reducing the need for centralized data centers, and enhancing real-time application performance. Together, these technologies enable the creation of new services and applications while supporting the growing number of connected devices.
6. Blockchain
Blockchain technology, a decentralized and distributed ledger system, is gaining traction to enhance security, transparency, and accountability in digital transactions. Initially associated with cryptocurrencies, blockchain is now being applied in various industries, including finance, supply chain management, and voting systems. Its potential to create tamper-proof records and enable secure, transparent exchanges could significantly transform how businesses operate and collaborate, particularly in areas that require high levels of trust and data integrity.
7. Virtual Reality (VR) and Augmented Reality (AR)
VR and AR have changed how humans interact with digital and physical environments. VR immerses users in entirely simulated environments and offers applications ranging from gaming to training and education. On the other hand, AR overlays digital content in the real world, allowing users to interact with virtual elements more naturally and intuitively. These technologies are already being used in diverse fields, such as entertainment, education, healthcare, and retail, and are expected to revolutionize the user experience by enabling more immersive and interactive interactions.
8. Digital Transformation
Digital transformation is a broad and all-encompassing trend that fundamentally alters how businesses operate and interact with customers. Technological advances like AI, IoT, and cloud computing have enabled organizations to automate processes, leverage data-driven insights, and create new products and services. This transformation not only enhances operational efficiency but also leads to improved customer experience by offering personalized and convenient services. Additionally, digital transformation drives workforce changes by creating new roles and skill requirements, compelling organizations to invest in employee training and development to ensure their workforce is equipped to thrive in the digital age.
Potential topics include (but are not limited to):
- Contemporary challenges and/or opportunities associated with developmental trends in digital technologies
- Brain-computer interaction
- Impact of digitalization on the environment
- Impact of digitalization on society
- Digital twin
- Edge computing
- Green computing
- Holographic 3D printing
- Immersive media (e.g., augmented reality, virtual reality, mixed reality, extended reality)
- Jitterbug, assistive technology, and gerontechnology
- Kill chain management
- Low code technology and development platforms
- Metaverse and non-fungible tokens (NFTs)
- Neuro-IS
- Open-source intelligence
- Pervasive computing
- Quantum computing applications
- Robotic process automation with human-in-the-loop
- Smart devices, homes, offices, cities, and nations
- Total or multi-experience
- Universal authentication
- Voice and speech recognition for conversational chatbots
- Wearable and haptic technology
- Operational challenges for analytics and machine learning
Associate Editors (AEs):
- Aihua Yan, Lingnan University, Hong Kong
- Albert Fei Liu, The Hong Kong Polytechnic University, Hong Kong
- Chun Fong Lei, The Hong Kong Polytechnic University, Hong Kong
- Fenfen Zhu, Nanyang Technological University, Hong Kong
- Jiaoyang Li, Southwestern University of Finance and Economics, China
- Jie Fang, University of Nottingham Ningbo China, China
- Jonathan Yee, The University of Oklahoma, United States of America
- Liuan Wang, Beijing Institute of Technology, China
- Lusi Yang, Georgia State University, United States of America
- Meng Cehn, University of Science and Technology of China, China
- Micheal Axelsen, The University of Queensland, Australia
- Muller Cheung, Deakin University, Australia
- Qian Huang, University of Science and Technology of China, China
- Randy Wong,University of Auckland, New Zealand
- Rounan Sun, Monash University, Australia
- Sana Ansari, Deakin University, Australia
- Xinxue Zhou, Guangxi University, China
- YIjing Li, Hong Kong Polytechnic University, Hong Kong
- Zhenjiao Chen, University of International Business and Economics,
China
