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An Agent-Based Model for 5G Technology Diffusion in Urban Societies: Simulating Two Development Scenarios

doi: 10.3390/su132212698
Although 5G has been deployed in several countries, stakeholders are still hesitant to adopt the technology. Massive investment and collaboration become prerequisites for this technology to be successfully implemented and bring the most benefit. This research discusses the diffusion of 5G technology to personal end-users and industries and simulates the collaboration model. The simulation analyzes key essential indicators for stakeholders, such as the number of adopters, diffusion time, and total revenue. This study follows the pragmatism philosophy and abductive approach, integrating qualitative and quantitative research, resulting in the diffusion model. The qualitative data was obtained through focus groups and semi-structured interviews with key sources, while quantitative data from 437 people were gathered through a questionnaire. The simulation resulted in a 34% improvement in diffusion time, leading to faster investment return for industry players. This study offers an alternative paradigm compared to the diffusion of innovation theory, especially for new technology distribution. Finally, this research suggests that 5G stakeholders adopt the proposed collaboration strategy to achieve better business indicators.
- Bandung Institute of Technology Indonesia
- School of Business and Management France
Environmental effects of industries and plants, TJ807-830, agent-based modeling, TD194-195, Renewable energy sources, Environmental sciences, diffusion of innovation, GE1-350, mobile network communication, 5G
Environmental effects of industries and plants, TJ807-830, agent-based modeling, TD194-195, Renewable energy sources, Environmental sciences, diffusion of innovation, GE1-350, mobile network communication, 5G
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
