Submissions

Track Chairs:

• Hillol Bala (Indiana University)
• Likoebe M. Maruping (Georgia State University)
• Tabitha James (Virginia Tech)

Track Description:

This track explores how people engage with, understand, and construct shared meanings about rapidly evolving technologies such as agentic and generative artificial intelligence (AI), and the integration of technologies such as AI and digital platforms that are reshaping the way we view our common humanity and what is humane. Just as past industrial revolutions redefined economies and societies, today’s digital revolution invites us to consider how emerging and disruptive technologies can be deployed responsibly to leverage cultural, social, and linguistic diversity toward humanistic solutions that do not lose sight of needs such as human connection, meaningful work, and sustainability that support flourishing.

We welcome contributions across diverse perspectives and methodologies, including conceptual, empirical, analytical, ethnographic, and design science research, on the opportunities and challenges of designing, deploying, and managing emerging and disruptive technologies as humanistic solutions that ensure inclusive and responsible outcomes.

As the AMCIS 2027 General Track, this track is also the home for strong information systems research that does not fit within any other track, including emerging topics, cross-disciplinary work, and research from AIS communities that do not run a full track this year. Where a paper has a clear home in another track, authors should submit it there.

We invite minitrack proposals in both areas: topics centered on the conference theme, and topics not represented elsewhere in the program.

Track Chairs:

• • Samira Farivar (Carleton University)
  • Hamed Qahri-Saremi (Colorado State University)
  • Randy Wong (University of Auckland)

Track Description:

Research on the adoption and diffusion of information technology has improved our understanding of how IT is utilized by individuals, groups, and organizations and its positive and negative consequences. As a result, we have a rich understanding of relevant topics such as digital innovation, digital business models, and IT implementation, to name a few. With the accelerating pace of digital transformation permeating organizations and societies, and the fundamental role of information systems in it, there is still much to learn about the diffusion and adoption of IT.

We need to investigate the bright sides of new digital innovations and how we can ensure equitable access to technologies and digital resources, particularly in light of the rapid advances in AI and other “intelligent technologies.” At the same time, we must critically examine the dark sides of adoption and diffusion. Issues such as IS misuse, addiction, propagation of online false information, algorithmic biases, the erosion of human agency by intelligent systems, technostress, information overload, and new digital divides present relevant and ripe areas to investigate.

This track seeks to create a forum for high-quality research that provides valuable theoretical and/or practical insights into the adoption and diffusion of digital innovations at all levels and their bright and dark consequences. This includes the application of all types of research methodologies to study all kinds of digital artifacts.

 Track Chairs:

• Gero Strobel (University of Duisburg-Essen)
• Sarah Honigsberg (ICN Business School)
• Lingyao Yuan (Iowa State University)
• Daniel E. O’Leary (University of Southern California)

Track Description:

Artificial intelligence is shifting from systems that generate content to systems that take action. Agentic AI is moving from demonstration into organizational and institutional practice. This shift makes machine agency a first-order concern for information systems research: once software acts on our behalf, delegation, oversight, accountability, and authorship stop being peripheral considerations and become design questions.

The AMCIS 2027 conference theme of Digital Humanities provides an important additional lens on these developments, raising fundamental questions about human meaning, knowledge, and representation. Large language models are themselves artifacts of the human record – compressed representations of the cultural, linguistic, and scholarly heritage they are trained on, including its silences and asymmetries. As autonomous systems become participants in how knowledge is created, curated, and shared, the humanistic questions of who speaks, who interprets, who is represented, and who is entitled to make meaning become questions of systems design, governance, and accountability.

This track invites research that holds both sides together: the organizational and technical reality of agentic and autonomous systems, and the cultural, epistemic, and interpretive consequences of delegating agency to machines. The track welcomes all methodological traditions and explicitly encourages contributions that engage diverse voices and intercultural dialogue in and through intelligent systems.

Track Chairs:

• Antonia Meythaler (Weizenbaum Institute)
• Miranda Kajtazi (Lund University)
• Ziyuan Tang (ISTEC Business School)
• Marianne Fan (NIO Corporation)
• Yanfei Zhang (EPBS)

Track Description:

Digital humanities offer conceptual tools for reimagining organizational futures, especially through hermeneutics—the study of meaning and interpretation. As organizations become increasingly dependent on digital technologies and pursue utility driven outcomes, hermeneutics provides a way to understand why technologies succeed or fail. It helps explain how expectations, narratives, and meaning shape the trajectory of AI implementation.

This perspective matters because AI projects continue to fail at rates approaching 90 percent (MIT 2025). The AI paradox—productivity gains remain unrealized despite widespread algorithmic deployment—emerges when AI is used mainly for automation, datafication, surveillance, and algorithmic decision making. As noted by the 2024 Nobel Prize in economics (Acemoglu 2025), such uses generate resistance, controversy, and sociotechnical crisis.

From a managerial standpoint, these failures are not only technical but interpretive. Automation centric AI reduces work to calculable operations, ignoring the narrative, relational, and meaning laden dimensions of organizational life. Treating processes as purely computational undermines shared understanding, weakens employee agency, and erodes trust, all of which are essential for successful AI adoption.

Emerging alternatives—AI augmentation and AI native organizational models—offer ways to mitigate these failures. In these approaches, AI co constitutes human agency, participating in meaning making and decision processes. AI native systems rely on workflow and process redesign, turning processes into sites of interpretation, negotiation, and collaboration. This reframes Business Process Management: processes become dynamic sociotechnical structures shaped jointly by humans and machines.

Rather than AI first strategies, AI native and augmentation approaches promote human centered organizational design that enhances interpretive flexibility, ethical responsibility, and collective agency. BPM becomes a strategic discipline for AI success, enabling organizations to reduce failure rates, overcome resistance, and realize productivity gains. This track invites contributions exploring how AI native organizational models and digital humanities can support the managerial and sociotechnical foundations of successful AI implementation.

Track Chairs:

• Frank Ulbrich (Lucerne University of Applied Sciences and Arts)
• Michael Rivera (Lehigh University)
• Guohou Shan (Northeastern University)
• Anu Rao (Indian Institute of Technology Jodhpur)

Track Description:

Artificial intelligence (AI) is transforming not only organizational technologies and processes, but also how people create, interpret, and share knowledge. These transformations unfold across interdependent levels. Individuals use, adapt, resist, and reshape AI; teams and organizations embed emerging practices in routines, structures, cultures, and governance arrangements; and organizational choices contribute to wider institutional, cultural, and societal consequences.

This track examines AI and organizational transformation across individual, organizational, and societal levels. Its distinctive focus is on cross-level dynamics: how individual experimentation becomes collective practice; how organizational strategies and controls shape human agency; how AI-mediated routines alter knowledge, identity, power, inclusion, and work; and how institutional conditions—including cultural, linguistic, professional, and regulatory contexts—shape organizational implementation.

The track builds on SIG OSRA’s systems perspective by treating AI not as an isolated tool but as part of evolving socio-technical systems. We invite work on intended and emergent transformation, including human–AI collaboration, shadow AI, organizational learning, process and work redesign, strategy, governance, responsible AI, digital representations of organizations, and public or societal consequences. We are especially interested in studies that connect levels of analysis, identify feedback loops or emergent effects, compare contexts, or explain how local practices scale into organizational and societal outcomes.

We welcome theoretical, empirical, design-science, simulation-based, and mixed-methods research, as well as research-informed teaching cases. Submissions may examine one level in depth when implications for other levels are made explicit. Through this multilevel framing, the track contributes to AMCIS 2027’s Digital Humanities theme by foregrounding human agency, knowledge practices, cultural diversity, inclusion, and societal responsibility within AI-enabled organizational change.

Track Chairs:

• Vijayan Sugumaran (Oakland University)

Track Description:

This track provides a forum for academics and practitioners to explore the role of semantics, ontologies, knowledge representation, knowledge graphs, and machine intelligence in developing intelligent information systems and agentic AI. It focuses on how structured representations of concepts, entities, relationships, rules, and domain knowledge enable intelligent systems to understand context, integrate heterogeneous information, reason over knowledge, and support complex organizational decisions.

As AI evolves toward agentic systems capable of reasoning, planning, tool use, collaboration, and autonomous or semi-autonomous action, semantic and knowledge representation technologies provide important foundations for building context-aware, knowledge-grounded, and interoperable agents. The track welcomes research integrating ontologies, knowledge graphs, semantic models, symbolic reasoning, and neuro-symbolic approaches with large language models and agentic architectures. Topics include ontology engineering and alignment, knowledge representation and reasoning, semantic interoperability, knowledge graph construction and reasoning, knowledge-grounded AI, semantic retrieval, and domain knowledge modeling.

Particular attention is given to how these technologies transform organizations through intelligent automation, decision support, knowledge management, process orchestration, organizational learning, and human-AI collaboration. The track also examines the promise and perils of semantic and agentic systems, including opportunities for improved productivity, adaptability, and decision quality alongside challenges involving knowledge quality, uncertainty, explainability, bias, security, privacy, governance, accountability, knowledge evolution, and unintended autonomous actions.

The track invites theoretical, methodological, empirical, and applied contributions advancing knowledge-driven, reasoning-enabled, and trustworthy intelligent systems and their implications for organizations, industries, and society.

Best papers from this track will be invited to extend the paper and publish in the special issues from the following journals. The review process will be fast-tracked.

• International Journal of Intelligent Information Technologies (http://www.igi-global.com/ijiit)

• Journal of Web Engineering (https://journals.riverpublishers.com/index.php/JWE/)

Track Chairs:

• David Eisenberg (Montclair State University)
• Martina Albarelli (New Jersey Institute of Technology)
• Jorge Fresneda (New Jersey Institute of Technology)
• Sophie Agulhon (Aix-Marseille University)
• Tanmoy Sarkar Pias (Stanford University)

Track Description:

The nature of work and organizations is evolving as digital technologies become deeply embedded in the workplace. This has resulted in transformations that alter work itself and challenge core organizational aspects such as employee connectedness, engagement, the formation of meaning and identity in day-to-day activities.

These changes also give rise to new forms of organizing, like the growing use of crowd-based work platforms. Such digital workplace platforms and ecosystems enable more dynamic and fluid work arrangements within and across organizations, offering greater flexibility in terms of when, where, and how we work, as well as opportunities for intellectual capital. As human-AI collaboration becomes increasingly central in these digital environments, it introduces new dynamics in decision-making, creativity, and problem-solving, often blurring the lines between human agency and algorithmic influence. This new landscape presents enormous opportunities to enhance workers’ lives and foster more sustainable, resilient organizations, with broader societal benefits.

However, the mere availability of new technologies and existing labor resources does not ensure enhancements in operational strategizing and corresponding efficiencies and innovation. The interactions of workers and technologies introduce vast complexities that involve obstacles that must be identified, understood, and managed.

The track aims to extend our understanding of a) the changing nature and future of work, and b) digital transformations’ role in the human, societal, and technological dimensions of work. This track addresses the impact of people, society and technological innovation on the changing nature and future of work, for theory, research, and practice.

Where adjacent tracks examine AI does analytics, education, or operations, this track asks how work itself, and the experience of working affect workers, their satisfaction, work tasks, productivity, and what processes would be put in place alongside or even instead of workers in the continually evolving changing nature and future of work.

Track Chairs:

• Andrew William Green (Kennesaw State University)
• Clay Posey (Brigham Young University)
• Gregory Bott (The University of Alabama)
• Jonna Järveläinen (University of Jyväskylä)
• Bryan Hammer (University of Montana)

Track Description:

Cybersecurity and privacy continue to evolve as foundational socio‑technical concerns for individuals, organizations, and society. As digital infrastructures grow more interconnected, intelligent, and regulated, the challenges of securing information systems now, perhaps more than ever, span technical architectures, human behavior, organizational governance, and global policy environments.

This track, sponsored by AIS SIGSEC, provides a forum for researchers, educators, and practitioners working in cybersecurity, privacy, digital forensics, assurance, risk management, and auditing. We welcome work that advances theory, practice, and the application of processes, policies, and technologies that support sound cybersecurity and privacy outcomes for individuals, organizations, and society.

Track Chairs

• Elaine Mosconi (Université de Sherbrooke)
• Magno Queiroz (Florida Atlantic University)
• Hongxiu Li (Tampere University)

 Track Description

Data increasingly shape how organizations know, decide, coordinate, innovate, and act. Yet, information systems research has often treated data primarily as inputs to analytics, artificial intelligence, or digital technologies rather than as phenomena worthy of investigation in their own right.

This track advances data studies in information systems by examining how data are designed, produced, interpreted, curated, governed, shared, transformed, and used, and how these processes shape organizations and societies. Aligned with the recently founded SIG Data under AIS, the track brings together research on data, data work, data practices, infrastructures, and ecosystems from sociotechnical, organizational, behavioural, critical, and interdisciplinary perspectives.

We invite research examining how data acquire meaning and value; how data quality, provenance, ownership, access, and responsibility are established; how organizational arrangements and infrastructures enable data to circulate; and how emerging phenomena such as generative AI, synthetic data, digital twins, and machine-generated data are reshaping data practices and governance.

The track also welcomes research addressing the ethical, cultural, societal, and sustainability implications of data and datafication. Consistent with AMCIS 2027’s “Digital Humanities” theme, we encourage studies examining how data represent people, communities, languages, histories, and organizational realities, and how these representations influence knowledge, visibility, inclusion, power, and decision-making.

We welcome theoretical, empirical, design-oriented, computational, and interdisciplinary contributions.

Join us in moving data from the background to the foreground of information systems research by examining its lifecycle and how data, in turn, shapes organizations and societies.

Track Chairs:

• Stephen McCarthy (University College Cork)
• Amir Zadeh (Wright State University)
• Biljana Boshkoska (University of Novo mesto)

Track Description:

The track “Data Science, Analytics, and AI for Digital Humanities” by SIG DSA seeks technical, theoretical, design science, pedagogical, and behavioral research on emerging applications in analytics, data science, and intelligent technologies, including generative and agentic AI. Here, data and method are the object of the contribution: how data are built, how measurement and models are chosen, and how well they are evaluated. It welcomes work applying these methods to human culture, history, creativity, and responsible innovation, drawing on digitized archives, oral histories, museum collections, literary corpora, social media, and born-digital records.

These developments also raise important questions about whose knowledge is represented, how algorithmic systems influence human judgment, and whether technological transformation is inclusive and accountable. The track therefore encourages research addressing cultural representation, algorithmic bias, explainability, privacy, digital inclusion, human-AI collaboration, and responsible system design. It welcomes studies that connect computational innovation with human values and examine how analytics and AI can contribute to cultural understanding, global development, sustainability, and societal well-being.

Hosted in São Paulo, the track especially welcomes work grounded in Brazilian and Latin American contexts and in multilingual and low-resource-language settings, where questions of representation, translation, and measurement are unavoidable rather than optional.

Scope: This track centres on decision support, analytics, collaboration, and knowledge management, asking what data and models make knowable, at what cost, and how reliably that knowledge can be evaluated. Papers focused primarily on the impacts of AI on organizations and society should be submitted to the the AI and Organizational Transformation track (SIG OSRA) track, while papers that treat data, data work, and data practices as the primary object of inquiry are better aligned with the SIG Data track.

Track Chairs:

• Vikas Jain (The University of Tampa)
• Vishanth Weerakkody (University of Bradford)

Track Description:

Governments and public institutions worldwide face increasing pressure to develop collaborative, innovative and adaptive forms of governance that respond effectively to evolving citizen needs and expectations. Simultaneously, they must address complex challenges including migration, geo-political uncertainties, socio-economic disparity, environmental pressures, public health threats, and rapidly changing labour markets. Citizens expect public services that are accessible, responsive, transparent and capable of addressing complex public problems, creating a need for new models of digital governance.

The emergence of next generation technologies including artificial intelligence, 6G and high-speed connectivity, quantum and edge computing, is creating new opportunities to deliver more intelligent, connected and citizen-centred public services. The convergence of these technologies, however, is not simply accelerating digital service delivery; it is reshaping how governments operate, make decisions and engage with citizens and society. At the same time, their rapid evolution raises fundamental questions around privacy, security, trust, inclusion, accountability, ethics and appropriate regulatory and governance frameworks. Reimagining digital government therefore requires moving beyond technology adoption to critically examine how emerging digital capabilities can be harnessed to create public value and more inclusive, resilient and human-centred forms of governance.

This track therefore provides a space for both innovation and critical inquiry. It welcomes research examining the multiple dimensions of transformation that intelligent and connected technologies are enabling across governments and public institutions. We invite studies that focus on design, management, and implementation of emerging technologies in the distinctive public sector context, addressing the novel opportunities and challenges facing digital government research. Papers that can combine methodological rigour with practical relevance are particularly welcome.

Track Chairs:

• Maximilian Schreieck (University of Innsbruck)
• Andreas Hein (University of St. Gallen)
• Julia Kotlarsky (University of Auckland)

Track Description:

Digital platforms and emerging technologies are reshaping traditional sourcing. To capture the dynamics and interactions of sourcing and platform phenomena, the Track Digital Sourcing, Platforms, and Ecosystems highlights research that investigates topics relating to digital sourcing, platforms, and ecosystems. These topics include but are not limited to (1) digital sourcing issues, such as sourcing decisions and outcomes, organizing and governing sourcing relationships, collaboration, innovation and knowledge management processes in sourcing relationships, and various sourcing configurations and models, (2) digital platform ecosystems issues, including motivation to partner, governance of platform ecosystems and partnerships, co-innovation and development processes, and outcomes and (3) the impact of technologies such as Artificial Intelligence (AI), Internet of Things (IoT), low-code/no-code platforms, and distributed ledger technologies (DLT) like blockchain on sourcing and platform ecosystems. We welcome studies that examine these topics from multiple perspectives, including client and supplier firms, platform vendors, complementors, and individual actors. All methods and levels of analysis, including individual-, firm-, inter-organizational, and ecosystem-level, are welcome.

Track Chairs:

• Benedict Bender (University of Potsdam)
• Marcus Grum (University of Potsdam)
• Christian Leyh (Technische Hochschule Mittelhessen)
• Renee Pratt (University of North Georgia)

Track Description:

Information systems (IS), specifically enterprise systems (ES), have allowed companies to integrate operations throughout the enterprise. The integration scope of ES has been expanding and now often includes customer activities, supply chains, and platform ecosystems. Over the past two decades, technological and managerial/organizational innovations have extended the affordances of enterprise solutions while challenging traditional approaches to their design and coordination. With the changing needs of corporate strategy and the business environment, ES must continuously evolve toward enterprise-level IS.

Unlike many other classes of IS, enterprise-level IS comprise various artefact types due to their requirements for integration and alignment, as well as their complex nature. The enterprise level also implies that diverse stakeholders and perspectives must be considered across business and IT boundaries, corporate functions, and often legal entities. The complexities of enterprise-level IS are embodied not only in their components and interdependencies, but also in the resulting dynamics and emergence over time. The challenge to integrate technological innovations and adapt business processes within enterprise-level IS continues. IS are continually enhanced with technological innovations, creating challenges for adopting these changes at enterprise and ecosystem levels. Because of their complexity and integrated nature, enterprise-level IS are difficult to implement and are associated with a variety of organizational changes.

As such, this track seeks to explore current issues, from academic and practical perspectives, surrounding the evolution of integrated IS and themes related to information systems’ internal and external integration. This spans topics such as strategic, operations, social, project and process management, supply chains, emerging technologies, and platform approaches to IS. In alignment with the AMCIS 2027 theme of Digital Humanities, the track also welcomes research examining how enterprise-level IS can support inclusive knowledge creation and sharing, represent diverse stakeholder perspectives, foster intercultural collaboration, and help organizations and ecosystems address societal challenges.

Track Chairs:

• Jon W. Beard (Iowa State University)
• Araz Jabbari (Université Laval)
• Shawn Ogunseye (Bentley University)

Track Description:

Systems Analysis and Design (SAND) has been a foundational component of the Information Systems (IS) discipline since its inception and remains central to the field as digital systems become increasingly embedded in the everyday activities of individuals, organizations, and societies. As dependence on information systems continues to expand, so too does the importance of understanding how such systems are conceived, designed, implemented, and governed. Many of the traditional assumptions of the field are being challenged, for the emergence of artificial intelligence (AI) is fundamentally transforming SAND. AI-enabled tools can increasingly elicit requirements, create models, generate code, test software, and monitor systems in operation. Software agents now interact with information systems alongside human users, while individuals with little-to-no formal technical training can develop applications through vibe-coding. Further, systems are no longer static artifacts delivered at deployment; instead, they must evolve dynamically throughout their operational life cycles.

These developments do not diminish the importance of SAND. Instead, they elevate its significance. As the effort required to produce models and develop software decreases, system quality increasingly depends on the ability to understand complex problems, articulate requirements and constraints with precision, and rigorously validate the resulting solutions. Accordingly, SAND’s intellectual core is shifting from documentation and elicitation toward problem framing, critical evaluation, and governance. Further, SAND is evolving from a largely linear progression of documents and deliverables into a continuous and iterative activity. The role of the analyst is also evolving, from producing detailed specifications to orchestrating AI-assisted design processes, verifying machine-generated outputs, and ensuring that resulting systems satisfy requirements for safety, fairness, accountability, transparency, and societal legitimacy.

Where adjacent tracks often focus on what is designed and built, SIGSAND’s emphasis is on the process and related activities in developing and using those tools and techniques, not specifically on the technology or product produced.

Track Chairs:

• Abhishek Behl (Keele University)

Track Description:

Digital Humanities asks how information systems can support innovative, inclusive, and critical approaches to human culture and meaning. Games are one of the sharpest instruments available for that inquiry. They are cultural artefacts and creative industries; they are designed information systems with rules, states, feedback, and data; and they are social spaces in which millions of people learn, work, compete, cooperate, and make sense of the world.

The SIG GAME track invites theoretically grounded and methodologically rigorous research on games, gamification, gameful design, and play in and around information systems.

We invite three broad kinds of contribution:

Games as phenomenon — the industries, platforms, communities, economies, labour, and cultures of play, and their societal consequences.

Games as method — play and game design as instruments of research: experiments, simulations, design-science artefacts, serious-play workshops, and participatory co-design.

Games as solution — gameful interventions addressing real problems in education, health, sustainability, work, marketing, heritage, and civic life.

Illustrative topics of interest

Games, heritage, memory, and the digital archive; historical and cultural representation in play

Generative AI in game design, narrative, and co-creation; human–AI creative collaboration and authorship

Serious play, Lego Serious Play, and game-based qualitative and mixed-method research designs

Dark patterns, manipulative monetisation, loot mechanics, and consumer protection

Gameful systems for sustainability, climate literacy, and circular-economy behaviour

Serious games in health, therapy, rehabilitation, care, and digital wellbeing

Problematic gaming, toxicity, moderation, and safety by design

Gamification at work, in HR and people analytics, and in algorithmic management

Esports ecosystems, competitive integrity, and performance analytics

Virtual worlds, XR, metaverse economies, virtual goods, and digital identity

Accessibility, disability-inclusive design, localisation, and linguistic diversity in games

Game analytics, player modelling, telemetry, and computational methods for play data

Theory development: motivation, flow, self-determination, affordances, and gameful experience

Track Chairs:

• Shengnan Yang (Western University)
• Han-fen Hu (University of Nevada, Las Vegas)

Track Description:

Digital technologies are increasingly shaping not only how people work, communicate, and make decisions, but also how knowledge is created, represented, interpreted, and shared across cultures and societies. Developments in artificial intelligence, digital platforms, data-driven systems, and other emerging technologies are opening new possibilities for cultural expression and knowledge production while simultaneously raising questions about representation, inclusion, power, and whose knowledge and values are embedded in digital systems.

We are particularly interested in research that critically examines how local values, historical conditions, and institutional arrangements influence the development and use of emerging technologies. This track centers comparative, cross-cultural, and non-Western perspectives on digital technologies; papers focused primarily on AI or autonomous systems without such a dimension may be better suited to the AI and Autonomous Systems track (SIG AIAA).

Relevant areas of focus in this track include the design and use of technologies across diverse cultural and institutional contexts; the organizational and industrial implications of digital transformation in global settings; Indigenous and non-Western perspectives that challenge dominant technological paradigms; critical perspectives that examine power, exclusion, and alternative knowledge systems; and the ethical and societal consequences of emerging technologies, particularly concerning equity, sustainability, and long-term impact.

This track invites submissions on international and cross-cultural aspects of IS through diverse theoretical and methodological approaches. While comparative and cross-national studies remain central, we especially encourage work integrating indigenous knowledge, language diversity, and alternative frameworks to enrich perspectives on digital transformation and emerging technologies in global contexts. We especially welcome research engaging Latin America, the Global South, multilingual communities, and other culturally diverse or underrepresented contexts.

Track Chairs:

• Savanid Vatanasakdakul (Carnegie Mellon University in Qatar)
• Pratyush Bharati (University of Massachusetts Boston)
• Chadi Aoun (Carnegie Mellon University in Qatar)

Track Desciption:

Sustainability and climate change are global issues with many cultural, organizational, technical, societal, regulatory, economic, and individual dimensions. Just as computer-based information systems have been a driving force for societal progress, Green IS can be a driving force for strategic sustainable solutions in organizations and communities.

Green IS enables the transformative power of information systems to support the multiple dimensions of sustainability. It addresses the world’s greatest challenges including shrinking access to non-renewable resources, decreased energy and food security, social inequalities, and environmental degradation due to climate change. IS can play a pivotal role in enabling sustainable solutions, which greatly increase the effectiveness and efficiency of modern communities and enterprises. Consequently, IS research can contribute to this transformation towards a multidimensional perspective to sustainability.

This track is open to any type of research within the scope of Green IS and Sustainability as well as those that adapt research and industry experiences into teaching cases and modules.

Track Chairs:

• Rich Klein (Florida International University)
• Kaushik Ghosh (Suffolk University)
• Haijing Hao (Bentley University)

Track Description:

The convergence of artificial intelligence, digital platforms, automation, and data-centric innovations has profoundly transformed healthcare, driving significant advances in health informatics and health information technology (HIT). The Healthcare Informatics and Health Information Technology (HIT) track seeks research on groundbreaking technology innovations and applications in healthcare while encouraging interdisciplinary theoretical perspectives and methodological approaches beyond traditional information systems (IS) and HIT disciplines.

Information systems and technology innovations offer significant potential to transform care delivery, improve quality and efficiency, enhance patient, caregiver, and provider interactions, and expand access to treatments and services. At the same time, healthcare digitalization raises important questions about human experiences, organizational practices, culture, ethics, communication, equity, and the evolving relationships among patients, providers, and healthcare institutions. Digital humanities perspectives can enrich this research by examining the human, cultural, historical, ethical, and societal dimensions of digital healthcare, including the use and interpretation of digital texts, narratives, data, and other cultural artifacts.

The track welcomes research that demonstrates novel contributions to the IS discipline while drawing upon computer science, economics, organizational behavior, public policy, public health, engineering, management, strategy, the humanities, and social sciences. Research may employ computational, quantitative, qualitative, interpretive, historical, and human-centered approaches.

Completed research and research-in-progress may address opportunities and challenges facing healthcare; advances in HIT, electronic health (e-health), telemedicine, and mobile health (m-health); artificial intelligence and automation; digital health platforms and data ecosystems; and healthcare-specific IS concerns, including technology adoption and diffusion, systems design and implementation, and IS success. The track also welcomes research on the broader human and societal implications of healthcare digitalization, including digital health narratives and communication, AI ethics, representation and bias in health data, health equity and access, and how digital technologies reshape healthcare practices, identities, relationships, and institutions.

Track Chairs:

• David Wilson (Brigham Young University)
• Miguel Ignacio Aguirre-Urreta (Florida International University)
• Dezhi Wu (University of South Carolina)

Track Description:

The AMCIS 2027 HCI Track will provide a forum for AIS members to present, discuss, and explore a wide range of issues related to Human-Computer Interaction and Information Systems. Human-Computer Interaction (HCI) is an interdisciplinary area that has attracted researchers, educators, and practitioners from several disciplines. It essentially deals with the design, evaluation, adoption, and use of information technology, with a common focus on improved user performance and experience. New and exciting research opportunities are emerging, including issues and challenges concerning people’s interactions with various information technologies, and increasingly with generative and agentic AI systems, that can be examined from an organizational, managerial, psychological, social, or cultural perspective. Consistent with the AMCIS 2027 theme of Digital Humanities, this track also welcomes work that examines how people, culture, and technology shape one another. This track welcomes papers that aim at advancing our understanding of human-computer interaction at the individual, work group, organization, or society levels. Submissions may use any type of research method.

This track treats the person, not the system, as the primary object of study. Papers belong here when the contribution explains or improves what people perceive, think, feel, decide, or do when interacting with technology, judged against human outcomes such as performance, usability, or trust. AI is welcome here as the thing people interact with, as in work on how users calibrate reliance on AI teammates. Artificial Intelligence and Autonomous Systems (SIG AIAA) is the better home when the object of study is the AI system itself, its capability, architecture, or evaluation, even when human participants appear. Envisioning and Designing Intelligent Technologies for the Future (SIG SAND) is the better home when the contribution is a novel system or the method that produced it. Submit here when the interaction is the focus.

Track Chairs:

• Asli Akbulut (Grand Valley State University)
• Geoffrey Dick (St. John’s University)
• Reza Vaezi (Kennesaw State University)

Track Description:

Information systems (IS) education plays an important role in enabling a more equitable and socially conscious digital future. However, IS educators face several challenges in the current environment, including improving enrollments, preparing students for evolving professional landscapes, and updating curricula to integrate new and emerging technologies such as augmented and virtual reality, artificial intelligence (AI), machine learning, robotics, blockchain, and the Internet of Things. Educators must also help students critically assess the broader implications of these technologies. These challenges highlight the importance of sharing IS education-related knowledge, research, pedagogical practices, and curricular innovations.

In line with the AMCIS 2027 conference theme, “Digital Humanities,” IS education has an important role in shaping how students understand the relationship among digital technologies, people, knowledge, culture, and society. As digital technologies increasingly influence how knowledge is created, preserved, and shared, IS educators are uniquely positioned to help students develop both technological competence and the critical perspectives needed to understand digital innovation. This includes considering issues such as inclusion, accessibility, privacy, ethics, diversity, digital well-being, and the ways in which technology can amplify or marginalize different voices.

Supported by SIGED, this track provides an opportunity for IS educators and researchers to exchange ideas, techniques, and applications through workshops, panels, and paper presentations. Submissions may focus on improving the teaching of specific courses or on broader, big picture topics. In times of rapid technological and societal change, the track emphasizes digital innovation, emerging technologies, and quality advances in IS instruction and curriculum. Consistent with the conference theme, we particularly invite submissions examining how IS education can promote innovative, critical, inclusive, and human-centered approaches to digital technologies. Submissions using IS to advance education in other disciplines are also welcome.

Track Chairs:

• Daniel Heinz (Karlsruhe Institute of Technology)
• Christian Bartelheimer (University of Göttingen)
• Flávia Maria Santoro (Inteli, Instituto de Tecnologia e Liderança)
• Mahei Manhai Li (University of St. Gallen)

Track Description:

Agentic and generative AI systems now sit in the middle of service delivery. They write the language in which service is delivered, translate across languages and registers, decide which requests to escalate and which to close, and take actions that used to require human initiative. This shifts who holds initiative in a service encounter, what resources circulate in exchange, and who answers for the outcome when a machine executes part of the service. The institutional arrangements that used to settle those questions are being rewritten along the way, while value is still decided by the beneficiary, in a particular use context, on that beneficiary’s own terms.

We invite research on value co-creation in service systems and ecosystems where agency is distributed across human and technological actors: how resources are orchestrated for continued value-in-use across repeated encounters, how service processes are designed and executed when an agent can choose its own path, how rights and responsibilities are delegated and held to account, what agentic support does to service innovation and entrepreneurship, and how service work itself changes.

Service research that does not center on AI is just as welcome, including service design and service engineering, platform ecosystems, and public and social service provision, where agency, institutions and beneficiary-determined value are equally at stake. All methodological traditions fit here: design science, qualitative and interpretive research, experiments, surveys, computational and mixed methods.

Given the setting in São Paulo, we especially encourage submissions from Latin American scholars and studies of service systems in multilingual, culturally plural or resource-constrained settings, where whose language a system encodes is not an abstract question.

Authors looking for a shared vocabulary can draw on the SIG SVC positioning lexicon and generativity-agency matrix in the AIS eLibrary (https://aisel.aisnet.org/sprouts_proceedings_sigsvc_2025/10/).

Track Chairs:

• Diana Young (Trinity University)
• Paola A. Gonzalez (Dalhousie University)

Track Description:

The IS Leadership and the IT Profession track provides a forum for scholars interested in understanding how information systems (IS) leadership and the IT profession are evolving in a period of rapid change. As organizations increasingly rely on digital infrastructures, artificial intelligence, cybersecurity capabilities, data governance, platform ecosystems, and digitally enabled innovation, IS leaders and IT professionals play a central role in shaping strategy, managing transformation, developing talent, and ensuring responsible technology use.

This track invites research that examines the leadership challenges and professional issues faced by IT executives, senior technology leaders, project leaders, technical specialists, consultants, and emerging digital professionals as they procure, implement, govern, and maintain Information Systems. We are specially interested in work that advances academic understanding while remaining closely connected to practice. Relevant topics include but are not limited to, IS leadership, digital leadership, IT workforce development, career pathways, professional identity, leadership capabilities, governance, cybersecurity leadership, AI adoption, digital transformation, ethics, diversity and inclusion in the IT profession, and the changing nature of IS work.

Though IS leadership and the IT profession are widely discussed in the practitioner press, there remains a continued need for academic research that explains how IT careers unfold, how digital capabilities are developed, and how organizations can support effective, ethical, inclusive, and sustainable technology work. IT professionals, whether serving as CIOs, CTOs, CISOs, CDOs, CAIOs, project leaders, cybersecurity managers, enterprise architects, software professionals, consultants, or individual contributors, represent the human and organizational core of the IS discipline. Their decisions, identities, capabilities, and career trajectories shape how digital technologies generate value, risk, opportunity, and change. Mini-tracks will cover the range of the track interest and authors will be encouraged to submit both conceptual and empirical papers contributing to both research and practice that employ a variety of quantitative and qualitative methodologies.

Track Chair:

• Michael A. Erskine (Middle Tennessee State University)
• Daniel Rush (Boise State University)
• Tanja Elina Havstorm (Örebro University)

Track Description:

In today’s highly competitive marketplace, organizations continue to look for ways to maximize the value of their projects. Information technology (IT) projects continue to face challenges related to uncertainty, emerging technologies, and evolving societal demands. IT projects have become notorious for high failure rates, escalating costs, and budget overruns. Both research and practice suggest that many IT projects struggle to meet functionality and quality targets.

Research has identified multiple reasons for these challenges: project escalation, poor risk management, failure to manage user expectations, weak governance, ineffective learning from past projects, or challenges related to virtual, hybrid, and AI-assisted projects. The insights gained from research in this area are highly relevant to practice and offer opportunities to extend and refine existing theories. As a research community, we still have much to learn about improving IT project outcomes in ways that not only deliver technological value but also foster resilience, sustainability, and societal impact.

This track welcomes papers addressing a wide range of IT project management topics, particularly those that engage with the theme of Digital Humanities.

Track Chairs:

• Nik Rushdi Hassan (University of Minnesota Duluth)
• Emmanuel Monod (ABPMP China)
• Devinder Thapa (University of Agder)

Track Description:

Digital Humanities has evolved as a field of study since the early days as humanities computing when it was narrowly described as the use of computational methods to preserve, disseminate and study literature, history, and cultural heritage. The theme of Digital Humanities invites the Information Systems (IS) community to reconsider the relationship between digital technologies and the human purposes they are meant to serve. This challenge has become especially urgent with the rapid emergence of Generative Artificial Intelligence (GenAI) and increasingly agentic forms of artificial intelligence. These technologies do more than automate existing tasks or provide new computational capabilities. They participate in the production of language, images, knowledge, decisions, and meanings; reshape how people learn, work, create, organize, and communicate; and increasingly mediate relationships between individuals, institutions, and society. As a result, many of the most consequential questions surrounding digital technologies are no longer purely technical or managerial. They are also philosophical questions concerning human agency, knowledge, responsibility, trust, creativity, identity, justice, values, and what it means to live well in an increasingly digital world. This track invites discussions of such philosophical issues of IS phenomena that place digital humanities and other people-centered perspectives at the center. Digital Humanities itself, for instance, has experienced its own processes of change for decades. These experiences may provide important lessons for understanding IS phenomena in organizations more broadly. This broader understanding may be inspired by different philosophical traditions, whether they are ontological, epistemological or axiological, engendering intellectual progress through the humanities as a source of concepts, methods, theories, and experiences, that can help IS researchers and practitioners better understand and explain their own phenomena.

Track Chairs:

• José Pineda (California State University, Long Beach)
• André Freire (Federal University of Lavras)
• Taiane Ritta Coelho (Federal University of Paraná)
• Macedonio Alanis (Tecnológico de Monterrey)

Track Description:

The Spanish, Portuguese, and Latin American Information Systems Research Track at AMCIS is dedicated to advancing IS research in and about Latin America. Given that Latin America constitutes a significant portion of the Americas, with its population predominantly speaking Spanish or Portuguese, this track creates an important platform for the dissemination of rigorous and high-quality research in these languages. It also welcomes scholarly contributions in English that focus on the Latin American context.

This track is sponsored by the Latin American and Caribbean Association of Information Systems (LACAIS) chapter of the Association of Information Systems (AIS), reflecting the shared commitment to fostering academic excellence and cross-cultural dialogue within the global information systems community.

In line with AMCIS 2026’s theme, this track centers Latin American perspectives on the convergence of AI, automation, digital platforms, and data-centric innovation, examining how these forces can be governed and designed for equitable, sustainable impact across Spanish- and Portuguese-speaking contexts. We particularly welcome work on responsible deployment, trust and privacy, and the future of work and well-being, including studies of AR/VR, edge computing, FinTech, and autonomous systems in regional public and private sectors.

Track Chairs:

• Sara Moussawi (Carnegie Mellon University)
• Raquel Benbunan-Fich (Baruch College, City University of New York)

Track Description:

Social Computing encompasses research at the intersection of social behavior and computing technologies, highlighting how digital innovations shape, and are shaped by, the ways people connect, collaborate, and engage with one another. This track welcomes submissions from diverse research methods and perspectives, inviting work that investigates the socio-technical dynamics of platforms, algorithms, and infrastructures that mediate social interaction, decision-making, and collective action.

In line with the AMCIS 2027 theme of Digital Humanities, we particularly welcome papers that examine how social computing technologies shape the ways people create and share knowledge, communicate, collaborate, and participate in cultural and civic life. As digital platforms, algorithms, and AI-powered systems increasingly mediate social interaction, cultural expression, collective memory, and public discourse, critical questions arise about representation, inclusion, intercultural dialogue, trust, privacy, equity, and well-being.

Submissions may explore, but are not limited to, the following topics:

• AI-enhanced algorithms in social networking, recommendation, and filtering systems
• Social computing’s role in shaping work, collaboration, and organizational life
• Digital platforms as arenas for civic engagement, collective action, or policy influence
• The implications of automation, data-driven design, and algorithmic governance for social life
• Social computing and well-being, including issues of connection, isolation, or toxicity
• Ethical and societal challenges, including bias, privacy, equity, and public trust

Through diverse perspectives and methods, this track aims to deepen our understanding of how social computing technologies both enable and challenge meaningful, equitable, and sustainable social interactions in an increasingly digitized world. Papers belong in this track when digitally mediated social interaction, digital platforms, or collective behavior constitutes the primary phenomenon under investigation.

Track Chairs:

• Sam Zaza (Middle Tennessee State University)
• Maud Adjeley Ashong Elliot (University of Professional Studies, Accra)

Track Descriptions:

The Social Inclusion track welcomes relevant empirical and theoretical research, in either completed research or emergent research format, that relates to the mission of SIG Social Inclusion (SIG SI). While research about inclusion spans multiple facets of everyday life, this year we adopt the theme of the conference and call for papers related to diversity, equity and inclusion (DEI) and ethical issues related to the adoption and use of emergent technologies, AI and algorithmic biases, and digital platforms and societal challenges for e-inclusion as the world experiences digital transformation. In addition, we welcome papers that tackle the general topics of inclusion: the under-representation 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.

Track Chairs:

• Russell Torres (University of North Texas)
• Parisa Aasi (Texas A&M University)
• Jack D. Becker (University of North Texas)

Track Description:

Indeed, for many businesses today, success depends upon appropriate tactical and strategic uses of their information and digital technologies. The need for speed, efficiency, agility, and mobility continues to place information and digital technologies at the forefront of organizational strategies and tactics. Complementing this demand, is an increased interest in artificial intelligence (AI) and big data analytics, requiring organizations to consider the competitive implications of the data to which they have access. Submissions to the Strategic & Competitive Uses of Information and Digital Technologies track may include complete papers and research-in-progress (ERF). Papers may be conceptual, theoretical, or empirical research. Any research that focuses on the strategic and competitive use of information and digital technologies (SCUIDT) will find a home in this track.