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HICSS minitrack ’Managing Platforms and Ecosystems

 

The “Managing Platforms and Ecosystems” minitrack marks its eleventh instalment, offering scholars the opportunity to explore how digital technologies, such as platforms and ecosystems, reshape organizational boundaries and competitive dynamics. Since its inception at HICSS-49 (see Russell et al. 2021), this minitrack has consistently invited research to embrace the socio-technical nature of platforms and their ecosystems. Today, our understanding of modern competition and organizational survival requires an even more solid understanding of how to manage platforms and ecosystems, as digital technologies have enabled unprecedented complementarities within and across industries (e.g., Cusumano et al. 2019, Constantinides et al. 2018). In this new “digital first” economy (Baskerville et al. 2020), transaction and innovation platforms have become dominant forms of organization (Gawer 2021, de Reuver et al. 2018, van Dijck et al. 2018). Importantly, platforms are no longer peripheral tools but increasingly serve as core organising infrastructure across industries.

Moving forward, we are delighted to invite papers and scholars to our HICSS-60 minitrack to take a (critical) stance on the future of platform ecosystems in the age of artificial intelligence (AI) and data, calls for resilience and sovereignty in a world facing global challenges, and many more. As scholars in this field, we face a landscape defined by

(1) new phenomena,
providing insights from (2) new empirics,
that might (3) require new methods,
and (4) new theories.

We ask scholars to revisit the foundational assumptions about how platforms and ecosystems are theorised and studied. We seek contributions that build, problematize, and theorise around established concepts such as network externalities and generativity, and explore how these systems are being fundamentally challenged and transformed by new technological forces and evolving socio-technical dynamics. These themes may inspire contributions:

Platform & Ecosystems

We are also happy to provide a fast-track for selected papers to Electronic Markets (EM), which will appear in a special topical collection for this minitrack. EM is considered among the leading journals in information systems (impact factor 7.1). The journal is well known for its research on platforms and ecosystems and, therefore, is a perfect fit for submissions to this minitrack. In the following, we provide exemplary provocations for research at the intersections of platforms and ecosystems that provide first glances into the broad research interest of this minitrack.

We are open to a wide set of methodological approaches, including qualitative, computational, and quantitative empirical research, case-based research, field studies, design science, behavioural decision-making experiments, and conceptual research. Further, we seek contributions that problematize or build on diverse theoretical backgrounds such as management science, information systems, computer science, decision science, system science, organisational design, policy making, innovation and strategy, as well as behavioural economics, to continue the scholarly exploration of concepts, theories, models, and tools for managing platforms and ecosystems. These might lie at the intersection between platforms, ecosystems, and current phenomena.

Platforms & Ecosystems + Artificial Intelligence and Data

In the past decade(s), platform research has introduced important mechanisms for explaining platform emergence and growth, such as network externalities (e.g., Eisenmann et al. 2011; Karhu and Ritala, 2021), generativity (e.g., Fürstenau et al., 2023), or legitimization (Taeuscher and Rothe, 2021). However, the increasing centrality of Artificial Intelligence and digital data suggest that the mechanisms of network externalities (e.g., Eisenmann et al. 2011; Karhu and Ritala, 2021), generativity (e.g., Fürstenau et al., 2023), or legitimization (Taeuscher and Rothe, 2021) may no longer be sufficient to explain how platforms and ecosystems are organized, governed, and transformed. Some research suggests that algorithmic agency is or will replace managerial authority through automated coordination (Wang and Pea 2026; Möhlmann et al., 2021). Other emerging research emphasizes that algorithmic agency augments novel forms of interdependence (Stelmaszak et al., 2025). Determining how these logics coexist is essential for redefining current and future platform theories. This track, therefore, is important as a potential bridge to the gap between traditional research and the post-management era of platform ecosystems, which might lead to rearticulation of enduring and human-centric control (see Ramaul et al., 2025).

As the use of AI grows, platform providers collect more and more data to produce superior machine learning applications (Gregory et al., 2021). This suggests a shift from platforms that manage data towards organizing through it (see Alaimo et al., 2020; Alaimo & Kallinikos, 2024), where data actively shapes what is knowable and actionable within a platform ecosystem (Faraj et al. 2026). Large language model platforms such as ChatGPT indicate a shift from producing value through matching complementors and users to learning how to produce content and services from data of millions of complementors on public infrastructures, including the WWW, over time. Data has become a vital resource and decentralized infrastructures such as the emerging data spaces (Beverungen et al., 2022; Otto and Jarke, 2019) are challenging current forms of organizing ecosystems via polycentric platforms (Pujadas et al. 2024), where data and rights to use data are shared under new terms.

Platforms & Ecosystems + Resilience in a World of Global Challenges

Platform ecosystems are considered vital tools to address grand challenges (Nambisan & George, 2024; Ritala, 2024) and societal challenges (Addo, 2022). Platforms play a pivotal role for our societies and economies to become more resilient when crises challenge established ways of life and work. They help to absorb shocks, adapt, and transform to new stable states, for instance, by coordinating physicians during pandemics (Liu et al. 2023) or data in global supply-chain disruptions (Boh et al. 2023). Most platform theorising, however, has been concerned with mechanisms explaining economic growth and development. In recent decades, we have witnessed a trend towards ever more interoperable IT infrastructures (Tilson et al., 2010), and platform governance levers, such as openness, were optimised with orchestrator and ecosystem benefits in mind (Parker & VanAlstyne, 2018). The resulting interdependencies, however, are increasingly recognised from a national-sovereignty perspective (European Parliament 2025) and constitute emerging factors affecting platform governance. Such tendencies may fragment global markets, driving platform ecosystems towards regional (rather than global) interoperability. We encourage scholars to take a critical view of the role of platforms in global crises, utilising phenomena like ESG reporting, digital product passports, conversations on digital sovereignty, or the circular economy. Here, platforms play a pivotal role in measuring the societal, ecological, and economic impact of market offerings. We therefore seek research on platform ecosystems not just as tools for coordinating efforts to address grand challenges, but also as influential mechanisms shaping global economies and societies.

Platforms & Ecosystems + Innovation, Policy, and Purpose

Platforms and ecosystems promise accessibility and democratization of value creation and capture by inverting the firm (Parker et al. 2017) or producing new labour markets in a sharing economy (Nian et al. 2021). We have, however, also learned that platform providers accumulate power, sometimes leading to the misuse of market dominance (Aral, 2021; Khan, 2019; Gawer, 2022). This is important because platforms and ecosystems affect their environment. Recommendation systems of Instagram, for example, have been perceived as harmful for teenagers, eventually inducing testimonies of leading managers before the US Congress. Peer-to-peer lending platforms affected personal decisions on abortion and women's health (Ozer et al. 2022). Thereby platforms have an impact on important societal issues. Sometimes, however, these impacts are unintended or against initially proclaimed intentions, for instance when crowdfunding platforms fail to tear down socioeconomic barriers (Kim and Hann, 2019). This raises broader questions about the institutional role of platform ecosystems, particularly how emerging algorithmic systems mediate responsibilities in practice, while raising questions about legitimacy, accountability, and the distributions of responsibility across private actors, public authorities, and algorithmic systems. We therefore welcome research that examines the co-evolution of platform ecosystems and innovation, policy, and purpose, including how policy interventions shape platforms and how platforms, in turn, influence innovation, policy, and purpose.

Platforms & Ecosystems + New Methodological Approaches

We are eager to widen the set of methodological approaches, including qualitative, computational, and quantitative empirical research, case-based research, field studies, design science, behavioural decision-making experiments, and conceptual research. At the same time, we recognize that increased availability of usage, process, or environmental data may enable novel approaches to computational research (Berente et al. 2019), potentially allowing the generation of insights that can uncover micro mechanisms in platforms or illuminate the broader complexities of ecosystems. In addition, new ML capabilities provide novel avenues for qualitative inquiries. Simulation-based research, including agent-based modeling and system dynamics, can provide promising ways to examine ecosystem-level dynamics, feedback loops, and unintended consequences, and is therefore also suitable for this track. We also welcome research that reflects on the epistemological implications of studying platforms and ecosystems in data- and AI-mediated environments.

Overall, we encourage authors to submit their best work on managing platforms and ecosystems to our HICSS minitrack and invite them to engage in collaboration between academia, industry, and policymaking for their research. We thereby welcome submissions from industry and around the world.

Bibliography

Addo, A. (2022). Orchestrating a digital platform ecosystem to address societal challenges: A robust action perspective. Journal of Information Technology, 37(4), 359–386.

Alaimo, C., & Kallinikos, J. (2020). Managing by Data: Algorithmic Categories and Organizing. Organization Studies, 42(9), 1385–1407.

Alaimo, C., & Kallinikos, J. (2024). Data Rules: Reinventing the Market Economy. The MIT Press.

Aral, S. (2021). The Hype Machine: How Social Media Disrupts Our Elections, Our Economy, and Our Health—And How We Must Adapt. Currency.

Baskerville, R., Myers, M. D., & Yoo, Y. (2020). Digital First: The Ontological Reversal and New Challenges for IS Research. Management Information Systems Quarterly, 44(2), 509-523.

Berente, N., Seidel, S., & Safadi, H. (2019). Research commentary—data-driven computationally intensive theory development. Information Systems Research, 30(1), 50-64.

Beverungen, D., Hess, T., Köster, A., & Lehrer, C. (2022). From private digital platforms to public data spaces: implications for the digital transformation. Electronic Markets, 32(2), 493-501.

Boh, W., Constantinides, P., Padmanabhan, B., & Viswanathan, S. (2023). Building digital resilience against major shocks. Management Information Systems Quarterly, 47(1), 343-360.

Bonina, C., Koskinen, K., Eaton, B. and Gawer, A., (2021). Digital platforms for development: Foundations and research agenda. Information Systems Journal, 31(6), 869-902.

Constantinides, P., Henfridsson, O., & Parker, G. G. (2018). Special Issue Introduction: Platforms and Infrastructures in the Digital Age. Information Systems Research, 29(2), 381-400.

Cusumano, M. A., Gawer, A., & Yoffie, D. B. (2019). The business of platforms: Strategy in the age of digital competition, innovation, and power (pp. 1-309). New York: Harper Business.

de Reuver, M., Sørensen, C., & Basole, R. C. (2018). The digital platform: a research agenda. Journal of Information Technology, 33(2), 124-135.

Eisenmann, T., Parker, G., & Alstyne, M. V. (2011). Platform envelopment. Strategic Management Journal, 32(12), 1270–1285.

European Parliament. (2025, June 11). Report on European technological sovereignty and digital infrastructure (A-10-0107/2025). https://www.europarl.europa.eu/doceo/document/A-10-2025-0107_EN.pdf

Faraj, S., Perez-Torrents, J., Mantere, S., & Bhardwaj, A. (2026). A time for monsters: Organizational knowing after large language models. Strategic Organization, 14761270251410675.

Fürstenau, D., Baiyere, A., Schewina, K., Schulte-Althoff, M., & Rothe, H. (2023). Extended generativity theory on digital platforms. Information Systems Research, 34(4), 1686-1710.

Gawer, A. (2021). Digital platforms’ boundaries: The interplay of firm scope, platform sides, and digital interfaces. Long Range Planning, 54(5), 102045.

Gawer, A. (2022). Digital platforms and ecosystems: remarks on the dominant organizational forms of the digital age. Innovation: Organization and Management, 24(1), 110-124.

Garud, R., Kumaraswamy, A., Roberts, A., & Xu, L. (2022). Liminal movement by digital platform‐based sharing economy ventures: The case of Uber Technologies. Strategic Management Journal, 43(3), 447-475.

Gregory, R. W., Henfridsson, O., Kaganer, E., & Kyriakou, H. (2021). The role of artificial intelligence and data network effects for creating user value. Academy of Management Review, 46(3), 534-551.

Karhu, K., & Ritala, P. (2021). Slicing the cake without baking it: Opportunistic platform entry strategies in digital markets. Long Range Planning, 54(5), 101988.

Khan, L. M. (2019). The separation of platforms and commerce. Columbia Law Review, 119(4), 973-1098.

Kim, K., & Hann, I. H. (2019). Crowdfunding and the democratization of access to capital—An illusion? Evidence from housing prices. Information Systems Research, 30(1), 276-290.

Kokshagina, O. (2022). Open Covid‐19: Organizing an extreme crowdsourcing campaign to tackle grand challenges. R&D Management, 52(2), 206–219.

Liu, Y., Xu, X., Jin, Y., and Deng, H. (2023). Understanding the digital resilience of physicians during the COVID-19 pandemic:An empirical study. Management Information Systems Quarterly, 47(1), 391-422.

Möhlmann, M., Zalmanson, L., Henfridsson, O., & Gregory, R. (2021). Algorithmic Management of Work on Online Labor Platforms: When Matching Meets Control. Management Information Systems Quarterly, 45(4), 1999–2022.

Nambisan, S., & George, G. (2024). Digital Approaches to Societal Grand Challenges: Toward a Broader Research Agenda on Managing Global-Local Design Tensions. Information Systems Research, 35(4), 2059–2076.

Nian, T., Zhu, Y. A., & Gurbaxani, V. (2021). The Impact of the Sharing Economy on Household Bankruptcy. Management Information Systems Quarterly, 45(3), 1213-1248.

Otto, B., & Jarke, M. (2019). Designing a multi-sided data platform: findings from the International Data Spaces case. Electronic Markets, 29(4), 561-580.

Ozer, G. T., Greenwood, B. N., & Gopal, A. (2022). Digital multisided platforms and women’s health: An empirical analysis of peer-to-peer lending and abortion rates. Information Systems Research, 34(1), .

Parker, G. G., & Van Alstyne, M. W. (2018). Innovation, openness, and platform control. Management Science, 64(7), 3015–3032.

Parker, G., Van Alstyne, M., & Jiang, X. (2017). Platform Ecosystems. Management Information Systems Quarterly, 41(1), 255-266.

Pujadas, R., Valderrama, E., & Venters, W. (2024). The value and structuring role of web APIs in digital innovation ecosystems: The case of the online travel ecosystem. Research Policy, 53(2), 104931

Ramaul, L., Ritala, P., Kostis, A., & Aaltonen, P. (2025). Rethinking How We Theorize AI in Organization and Management: A Problematizing Review of Rationality and Anthropomorphism. Journal of Management Studies.

Ritala, P. (2024). Grand challenges and platform ecosystems: Scaling solutions for wicked ecological and societal problems. Journal of Product Innovation Management, 41(2), 168–183.

 

Russell, M., Rothe, H., & Huhtamäki, J. (2021). Introduction to the Minitrack on Managing the Dynamics of Platforms and Ecosystems. In Proceedings of the 54th Hawaii International Conference on System Sciences (p. 6109).

Stelmaszak, M., Möhlmannn, M., & Sørensen, C. (2025). When Algorithms Delegate to Humans: Exploring Human-Algorithm Interaction at Uber. Management Information Systems Quarterly, 49(1), 305–330.

Taeuscher, K., & Rothe, H. (2021). Optimal distinctiveness in platform markets: Leveraging complementors as legitimacy buffers. Strategic Management Journal, 42(2), 435-461.

Tilson, D., Lyytinen, K., & Sørensen, C. (2010). Research commentary—Digital infrastructures: The missing IS research agenda. Information Systems Research, 24(4), 748–759.

Van Dijck, J., Poell, T., & De Waal, M. (2018). The platform society: Public values in a connective world. Oxford University Press.

Wang, G., & Pea, R. (2026) Algorithmic Autonomy in Data-Driven AI. Communications of the ACM, Online First

Chairs

Fast-Track Option

In collaboration with the Editorial Board of Electronic Markets (EM), we are proud and happy to provide a fast-track option for selected papers to a ​​topical collection at EM. EM is considered among the leading journals in information systems (impact factor 7.1). The journal is well-known for its research on platforms and ecosystems and thereby provides a perfect fit for submissions to this minitrack.