From connectivity to data ecosystems: a progression framework for IoT business models
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Toorajipour, R., Oghazi, P. & Eaton, B. (2026). From connectivity to data ecosystems: a progression framework for IoT business models. Review of Managerial Science. https://doi.org/10.1007/s11846-026-01046-5
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The rapid advancement of IoT technologies has enabled new forms of data flow among devices, people, and organizations. This has brought about the emergence of innovative business models with increasingly sophisticated value propositions. This study develops a typology and progression framework for IoT business models, highlighting how value creation and capture evolve as firms integrate IoT technologies. Based on a systematic literature review and multiple case studies, the present research identifies three distinct business model archetypes—namely, connectivity, servitization, and data ecosystems. Each archetype is characterized by specific mechanisms of value creation and capture. The resulting framework provides insights into support firms seeking to align IoT investments with their capabilities and market positioning. By offering a structured view of business model sophistication, this study contributes to the theoretical understanding of IoT business models, business model sophistication, and data ecosystems, while also informing managerial practice.
Emojulkaisu
ISBN
ISSN
1863-6691
1863-6683
1863-6683
Aihealue
Kausijulkaisu
Review of managerial science
OKM-julkaisutyyppi
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä (vertaisarvioitu)