A System Dynamics Modeling Framework for Forecasting the Diffusion of IoT-Enabling Technologies
As the telecommunications landscape evolves with rapid technological advancements, forecasting the diffusion of emerging technologies is imperative for strategic planning and decision-making. This article presents a comprehensive system dynamics modeling framework designed for forecasting the diffusion of IoT-enabling technologies. The framework's versatility is demonstrated through an example case study focusing on the diffusion of 5G-IoT technology in the smart home market.
Authors
- Nikolaos Kanellos (ORCID: https://orcid.org/0000-0001-7333-9644)
- Dimitris Katsianis (ORCID: https://orcid.org/0000-0002-7094-4029)
- Dimitris Varoutas (ORCID: https://orcid.org/0000-0002-9101-6221)
Institutions
- National and Kapodistrian University of Athens (GR)
Publication Details
- Journal
- IEEE Communications Magazine
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1109/mcom.002.2400115
- Citations
- 2
- Primary Topic
- Innovation Diffusion and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.98