Managing the Dynamics of Platforms and Ecosystems (HICSS minitrack)
We are delighted to invite papers and participation to our HICSS-55 minitrack on ‘Managing the Dynamics of Platforms and Ecosystems’. The minitrack follows our six years of successful exploration of this topic since HICSS-49 (see Russell et al. 2021).
News vom 18.02.2021
It is well understood that, in order to compete and survive, organizations have to consider platform- and ecosystem-centric perspectives. Today, digital technologies shape firm identities, physical and digital resources merge, and even traditionally physical industries become “digital first” (e.g., Wessel et al. 2021, Baskerville et al. 2020). Platforms and ecosystems play a central role in the rapid emergence and proliferation of the technologies that afford this digital transformation (e.g., human-machine ecosystems, digital twins, cloud services, artificial intelligence, 5G).
Although understanding the value and importance of platforms and ecosystems across various industries and domains has grown significantly over the years, there is still a paucity of research examining the dynamic and evolutionary aspects. Building on last year’s experience, we seek contributions that focus on the “dynamic” aspects of platforms and ecosystems. How do platforms and ecosystems emerge and what are the mechanisms driving their evolution? How do platforms and ecosystems adapt to changes in the technological, social, economic, ecologic, or political environment? How can specific platform and ecosystem actors succeed within these dynamics and manage even unintended consequences?
The minitrack seeks contributions that problematize or build on diverse theoretical backgrounds such as management science, information systems, computer science, decision science, system science, organizational design, policy making, and behavioral economics to continue the scholarly exploration of concepts, theories, models, and tools for managing platforms and ecosystems. We are open to a wide set of methodological approaches including empirical research, case-based research, field studies, design science, behavioral decision-making experiments, and conceptual research. We encourage collaboration between academia, industry, and policy making and welcome submissions from industry and around the world.
For the minitrack call, we encourage topics of interest associated with such inquiries and beyond:
Theories, models, and empirical studies of platform and ecosystem dynamics
Taxonomies, vocabularies, ontologies, and other forms of shared language to exchange knowledge on platforms and ecosystems
Open and closed resources in the dynamics of platforms and ecosystems, including emergent roles of boundary resources, software, and data
Innovation in platforms and ecosystems
(In)stability of identity for platforms, ecosystems, and actors over time
Change of power, autonomy and control in platforms and ecosystems
Evolving platform and ecosystem business models
Mechanisms driving the dynamics, growth, and evolution of platforms and ecosystems
Technological and competitive disruption in ecosystems
Orchestration strategies for platforms and ecosystem
Studies on the unintended consequences of (micro)mechanisms on platform and ecosystem success (or failure)
Approaches for controlling the power of the network effects and mitigating their unintended consequences
Dynamic analytics, visualization, and decision support for platform and ecosystems
New methods to study platform and ecosystem management
Baskerville, R. L., Myers, M. D., & Yoo, Y. (2020). Digital First: The Ontological Reversal and New Challenges for Information Systems Research. MIS Quarterly, 44(2), 509-523.
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).
Wessel, L., Baiyere, A., Ologeanu-Taddei, R., Cha, J., & Blegind Jensen, T. (2021). Unpacking the difference between digital transformation and IT-enabled organizational transformation. Journal of the Association for Information Systems, 22(1), 6.
Freie Universität Berlin
University of Oulu