Track descriptions
This track calls for submissions that take bridging as their central concern. We welcome research that moves beyond diagnosing the barriers and asymmetries of digital participation to examine the mechanisms, interventions, and conditions through which borders can be bridged. How can organisations design and govern digital systems that are genuinely inclusive? What institutional arrangements and regulatory frameworks best support equitable cross-border data flows? How can the adoption of artificial intelligence be governed in ways that distribute its benefits more broadly? What strategies enable firms and public institutions to navigate the growing complexity of digital governance while remaining open, interoperable, and accountable? These are the kinds of questions this track seeks to address.
The General Track is intended for high-quality full and short paper submissions on topics that do not have a specific fit with other tracks, including the conference theme track. It is a track intended to attract unique and novel papers that do not align with specific conference track themes. It thus gives authors an additional degree of freedom, also from epistemological, ontological, and methodological standpoints.
Understanding AI’s anthropomorphism and the role such a human-like characterisation has on the way people perceive these pervasive technologies will be central in enabling the interconnected world where people from across the globe can connect with each other through the digital intermediaries. Creating Anthropomorphic AI tools has ethical implications as well when the ability of a user to distinguish between human and AI agents disappear. Also, the ability to generate compelling content could be exploited for malicious purposes, making it necessary to establish stricter security measures and regulations to prevent abuse. Those aspects need to be accounted for in any digital future perspective. An important aspect of AI tools’ Anthropomorphism is the cognitive and psychometric state of those tools. Pellert et al. (2023) have established that Gen AI tools can have unique psychological profiles. This provides the basis that mass personalisation of AI tools is possible where personality profiles of Anthropomorphic AI tools closely resemble users’ personality profiles for higher productivity and better augmentation. Such issues are central to Information Systems’ study of digital futures as our field can leverage interdisciplinary studies, theories, and study designs to analyze the various aspects of such Anthropomorphic AI.
This track focuses on the implications of algorithmic decision-making and management for organisations, workers, managers, and how these actors make sense of, respond to, and cope with increasingly automated management systems (Lippert et al., 2026; Weber et al., 2025). We invite submissions that examine how algorithmic management reconfigures existing agency and power structures (Hillebrand et al., 2025; Wood 2024), how it leads to hybrid control configurations (Hao et al., 2026), how human managers navigate their coexistence with algorithmic counterparts (Jarrahi et al., 2021), and how workers retain agency and voice within algorithmically managed organisations (Hsieh et al., 2025). We also welcome contributions that address the ethical design of algorithmic management systems and related policymaking (Gal et al., 2020; Spiekermann et al., 2022). Finally, we invite research on how algorithmic management and its organisational embedding (Alizadeh et al., 2025) affect worker well-being (Tarafdar et al., 2023), and how workers push back through algoactivistic practices (Jiang et al., 2021).
We welcome contributions from all theoretical and methodological perspectives, drawing on IS, management, and neighboring disciplines, and addressing individual, organisational, and societal levels of analysis.
This track closely aligns with the ECIS 2027 theme of Bridging Digital Borders by exploring how information systems transcend and reconfigure physical and digital boundaries. It deepens our understanding of how digital technologies reshape human activity, organising, and experience in increasingly interconnected environments, and emphasises the importance of holistic, context-aware perspectives on the interaction between digital systems, physical settings, and human senses. The track aims to attract diverse contributions, including conceptual, empirical, and design-oriented work, and to foster a vibrant discussion that advances our understanding of how to meaningfully integrate physical and digital elements. It also seeks to explore what that integration demands of IS theory, design practice, and organisational life.
In an era of increasing digital interconnectedness, organisations rely on business analytics (BA) to navigate complexity, enhance decision-making, and create value across organisational, geographic, and societal boundaries. BA encompasses methods, processes, technologies, skills, and organisational capabilities required to analyse past and present data to inform and shape future performance. It is forward-looking and focuses on diagnostic, predictive, and prescriptive insights that guide strategic and operational action in dynamic environments.
We welcome interdisciplinary contributions that examine organisational, technological, cultural, ethical, and societal dimensions of BA. Submissions may draw on quantitative, qualitative, theoretical, design science, action, or behavioral research. In line with the conference theme, we encourage papers that investigate how BA can bridge or critically reflect on digital borders to foster collaboration, inclusiveness, and sustainable value creation. Papers focused solely on AI and machine learning, without a clear link to BA and its broader socio-technical implications, are not the primary focus of this track.
Business processes are key mechanisms through which organisations negotiate access, participation, and value creation in digital ecosystems. Enterprise architectures are the engineered contexts in which these business processes run, possibly involving domain specificities in their dependencies and taxonomies of resources. In the age of agentic AI, these can inscribe new barriers: in how platforms are architected, in how automation distributes work, and in how data governance frameworks define who can contribute and who benefits. This track creates a dedicated space to examine both the bridging and bordering functions of BPM, EAM and DI, while opening the discussion towards the transformation brought by agentic AI.
We invite both conceptual and empirical research, including case studies, design science research, and theory-driven investigations, that offer novel insights into the mutual shaping of BPM and DI, or EAM and DI, in the current AI-aware context. Interdisciplinary work that integrates perspectives from Information Systems, Organisational Studies, and Management Science is particularly encouraged, as this helps develop a more holistic understanding of business process innovation or enterprise systems transformations in digitally-enabled organisations.
This track calls for submissions that provide sociotechnical approaches to cybersecurity and privacy in a landscape shaped by AI, emerging technologies, and evolving threats. We welcome studies employing diverse methodological approaches (e.g., qualitative, quantitative, design science) addressing cybersecurity and privacy within and across organisational boundaries. Relevant topics include information security policy compliance, economic perspectives, human behavior, training and awareness, and security culture. On privacy, we invite work on privacy calculus, user behavior in the face of AI-enabled threats, and evolving privacy concerns.
We further invite submissions that examine the dual role of AI in cybersecurity, both as a protective mechanism and as a source of new risks, and encourage research that take value-reflexive and contrarian perspectives to interrogate the assumptions and values embedded in current security and privacy paradigms for the betterment of the world.
Data is the key resource of our time, increasingly taking a central position in business and society. By way of their unique and diverse characteristics (e.g., non-fungibility, non-rivalry, rapid deprecation, context-specificity), data have become highly valuable not only for fuelling modern AI applications, but also for innovative business solutions, daily operations and interorganisational value creation. Yet, the prevalence of data also raises questions concerning governance, quality, security, and value, especially when shared across complex data ecosystems between within and beyond organisational boundaries.
The track is open to any research paradigm from design science and qualitative/interpretative research to quantitative and behavioural studies.
This track welcomes research that advances our understanding of digital and intelligent services and service ecosystems in the age of AI across individual, team, organisational, ecosystem, and societal levels of analysis. We invite contributions from all research paradigms and methodologies, including conceptual and theoretical work, design-oriented research, qualitative and quantitative empirical studies, mixed-methods research, behavioral studies, and experimental approaches. Submissions that integrate service science and service research with Information Systems perspectives are especially encouraged.
We welcome research that produces design knowledge about computing artifacts for addressing realworld problems, conceptual research that expands our understanding of the role and impact of design science research in various application domains, methodological contributions for designing sociotechnical systems, and knowledge about the implications of specific design elements. Moreover, we welcome a diversity of submissions focusing on designing, developing, and evaluating artifacts, adding to design research’s theoretical and methodological knowledge base.
This track invites submissions that advance our understanding of the multifaceted role digital healthcare innovation and health information systems play to create a more equitable, accessible, and efficient global health ecosystem. We welcome a diverse range of methodological approaches, including qualitative, quantitative, business analytics, conceptual, and design science research, offering insights from multiple perspectives within the healthcare IS domain. Kindly note that submissions not related to IS will be desk rejected.
This track calls for submissions that engage in further theorising mechanisms, dynamics, and tensions of digital transformation, and explore how digital transformation shapes organising, processes, and work across domains. Such theorising can evolve from existing research trajectories but also requires critically rethinking them (Baiyere et al., 2026; Rowe &; Markus, 2023; Wessel et al., 2025). Therefore, while inviting submissions that continue advancing established research traditions, we encourage contributions that rethink digital transformation. This rethinking can focus on developing novel, contrarian perspectives that challenge established explanations (Zimmer et al., 2026), or engaging with complementary methodological approaches, including forward-looking perspectives (Hovorka & Mueller, 2025). This rethinking of digital transformation is in line with the conference theme because to understand how digital transformation bridges borders between domains, industries, levels of analysis, or the past, present, and futures of socio-technical change, we require new perspectives regarding theory, methodology, and phenomena to understand the nuances in digital transformation process and outcomes within and across different levels of analysis (i.e., societal or organisational) and domains (i.e., private, public, non-profit, etc.).
This track seeks original research that investigates fundamental transformation in finance due to advanced digital technologies and evolving regulations. FinTech innovations such as blockchain, embedded finance, mobile money, central bank digital currencies and rob-advisory platforms introduce a new financial architecture for digital innovations, thereby reshaping the architecture and delivery of financial services. Regulatory developments and market-driven initiatives around the world are transforming the traditional role of banks as new FinTechs continue to transform financial services. This enables a shift toward a data-driven financial ecosystem and the platformisation of the financial industry. FinTechs now offer novel and alternative financial services, targeting market segments that have traditionally been overlooked by incumbents. These services include account aggregation, non-bank payment solutions, credit scoring based on alternative data, insurance technologies (InsurTech), compliance technologies (RegTech), digital wallets, Robo-advisors, and artificial intelligence (AI) agents. This track recognises these developments as drivers of a significant transformation in industry logic and invites high-quality, innovative empirical papers that make meaningful contributions to understanding the role of digital innovation in financial ecosystems.
IS research has long examined the sociotechnical consequences of shifting the boundary between human and machine work, and offers mature theoretical resources for doing so. This track, therefore, invites research that engages critically and empirically with AI-mediated IS development across its full spectrum, from AI pair programming through agentic tools to vibe coding. The scope extends beyond tool adoption to address how organisations govern opaque artefacts, how developers calibrate trust in probabilistic code generation, how accountability functions when neither human nor AI can fully explain implementation decisions, and how this paradigm reshapes the division of cognitive labour.
The track welcomes submissions that investigate how AI reshapes teaching, learning, and competence development across universities, professional training environments, and organizational learning ecosystems. We particularly invite contributions that investigate how AI reconfigures pedagogical roles, pedagogical content, redistributes epistemic authority between humans and intelligent systems, and enables new forms of personalised, collaborative, and workplace-integrated learning. Relevant topics include the redesign of curricula and competencies, such as AI literacy, digital judgment, and metacognitive capabilities required for working productively with AI-generated knowledge. The track also welcomes research on AI-supported co-creation of teaching materials, adaptive learning pathways, and hybrid or immersive learning environments. In addition, we invite contributions that explore new assessment approaches addressing the declining reliability of traditional authorship-based evaluation formats. Adopting a socio-technical perspective, the track welcomes submissions that systematically examine how AI reshapes educational systems and organizations in the context of emerging data-driven learning ecosystems that increasingly connect formal education, workplace learning, and digital platforms. Overall, this track provides an opportunity to exchange conceptual ideas and empirical findings. We particularly encourage empirically grounded qualitative and quantitative studies as well as design science research studies that develop and evaluate innovative approaches for integrating AI into teaching and learning practices within socio-technical learning environments.
This track invites research that examines AI as an organisational and sociotechnical phenomenon, with attention to how AI is interpreted, justified, structured, and enacted in practice. While the track is open to research on AI-enabled organising more broadly, we are particularly interested in contributions that examine generative AI as a salient and rapidly diffusing form of AI that intensifies questions of agency, expertise, accountability, knowledge work, and sociotechnical change. More broadly, we are interested in how organisations make sense of, legitimise, and govern AI-enabled systems, as well as how AI reshapes work, collaboration, expertise, and decision-making.
This track provides a forum for IS scholars to examine how human interaction with digital technologies can be designed and governed in ways that are meaningful, responsible, inclusive, and beneficial to business and society. We are especially interested in research that explores how HCI can bridge the divide between human and machine actors while preserving human agency, supporting user experience, and aligning technological innovation with human, organisational, and societal values.
We welcome empirical, conceptual, and methodological oriented research on the design, development, use, adoption, evaluation, and consequences of interactive systems. Suitable submissions may generate design knowledge for computing artifacts, advance methods for studying HCI and user experience, or theorise the implications of specific interface features, design choices, and interaction patterns. The track welcomes diverse methods and levels of analysis, including individual, team, organisational, and societal perspectives.
From artificial intelligence and agentic systems to platform ecosystems, the Internet of Things (IoT/AIoT), and quantum computing, digital technologies are radically redefining how organisations, public infrastructures, and societies operate. Yet these technologies do more than enable connections. They actively shape and reshape digital borders, that is, the boundaries between geographies, economies, sectors, organisations, communities, and individuals that determine who participates, who benefits, and under what conditions.
To thrive in this evolving landscape, organisations, economies and societies must harness the potentials and power of digital technologies in ways that balance innovation with responsible practices. Understanding how digital boundaries are constructed, negotiated, reinforced, or bridged through processes of innovation and diffusion is now central to contemporary IS research. This calls for thoughtful reflection on how to engage with and reshape existing theories and methodologies or to develop new ones, to address the complexities that these technologies introduce.
This track welcomes diverse theoretical and empirical approaches, and contributions from interdisciplinary teams. To ensure this track produces work that is visibly distinct from standard IS research, we seek papers that are fundamentally policy-centric rather than theory-centric. Your paper must place policy at the centre of your research design, ensuring that your findings answer the critical “Now what?” question with specific, evidence-based policy recommendations. We expect contributions to translate analysis into actionable artifacts such as policy design principles, specific regulatory interventions with evidence-based justification, and implementation roadmaps for policy.
The track is closely aligned with AIS Special Interest Group on Green IS (SIG Green), recognising our dual responsibility to minimise the environmental impact of IS and catalyse change across sectors. We welcome contributions spanning the spectrum of IS research, including foundational theory, methodology, case studies, and cross-disciplinary collaborations. Hence, this track invites contributions that extend the boundaries of IS research for sustainability. Empirical research drawing on diverse organisational, societal, and geographical contexts (including often overlooked regions (Boh et al., 2023)) as well as drawing on local and Indigenous perspectives, will enrich our understanding of how sustainability objectives are enacted in practice. Submissions that foster our understanding of collaborative value co-creation, green digital innovation, and systemic trade-offs are encouraged, as are those illuminating real-time feedback, behavioral change, and long-term transformation.
This track focuses on how firms organise, coordinate, and govern digital work and resources across organisational and technological boundaries, including but not limited to sourcing arrangements and platform ecosystems. The proposed area of research brings together three closely related streams in Information Systems research: digital sourcing, digital platforms and ecosystems, and IS governance. These streams have traditionally evolved in parallel but are increasingly converging as organisations move from dyadic relationships toward complex, multilateral, and technology-mediated arrangements spanning organisational, geographic, and technological boundaries.
This track focuses on social media, crisis, and resilience. It examines how digitally connected communities use social media to anticipate, respond to, adapt to, and recover from disruptive events. The track welcomes research on crisis communication, public sensemaking, community coordination, mutual aid, digital support networks, civic engagement, and post-crisis recovery. At the same time, it recognises that social media environments can create significant challenges, including misinformation, disinformation, rumours, fragmented public discourse, unequal participation, algorithmically shaped visibility, and the marginalisation of vulnerable communities.
The digitalisation of professional and recreational sports is a dynamic, rapidly expanding research domain within the IS field. This track investigates the dissolving boundaries between traditional physical sports, competitive gaming (esports), and newly emerging physical-digital hybrid or “virtual” sports. Leveraging advanced digital platforms, big data analytics, AI, blockchain, and XR technologies, sports are undergoing profound changes. While the physical component remains primordial in traditional sports, digital innovations are fundamentally redefining athletic performance, fan consumption, and value creation.
As organisations adopt digital technologies to remain competitive, integrating quantum computing into the prevailing technological and business ecosystems has become a critical research area. The integration of quantum computing with distributed ledger technology (DLT), artificial intelligence (AI), the Internet of Things (IoT), and the cloud introduces new opportunities for scalability, efficiency, and access to computing resources. Organizations across industries can leverage such synergies to drive innovation, enhance flexibility, and optimize operations. This convergence, however, also presents challenges that have the potential to disrupt industries such as finance, healthcare, and national defence. Understanding and addressing these challenges is essential to grasping the broader implications of quantum computing on technological, organisational, and societal landscapes. Quantum computing also demands new approaches to information systems development in research and practice. This track explores the nascent role of quantum computing in reshaping Information Systems theories and business practices. We invite papers that examine the implications of quantum computing for Information Systems research, business and society. We welcome theoretical, empirical, and design-oriented contributions across various levels of analysis, including individual, organisational, market, and societal perspectives.
