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

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...

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Autores principales:	Sahat Hutajulu, Wawan Dhewanto, Eko Agus Prasetio
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	5G agent-based modeling diffusion of innovation mobile network communication Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/d2fcaf2be9d64e22adce3b187b1f5964
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spelling	oai:doaj.org-article:d2fcaf2be9d64e22adce3b187b1f59642021-11-25T19:03:37ZAn Agent-Based Model for 5G Technology Diffusion in Urban Societies: Simulating Two Development Scenarios10.3390/su1322126982071-1050https://doaj.org/article/d2fcaf2be9d64e22adce3b187b1f59642021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12698https://doaj.org/toc/2071-1050Although 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.Sahat HutajuluWawan DhewantoEko Agus PrasetioMDPI AGarticle5Gagent-based modelingdiffusion of innovationmobile network communicationEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12698, p 12698 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	5G agent-based modeling diffusion of innovation mobile network communication Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	5G agent-based modeling diffusion of innovation mobile network communication Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Sahat Hutajulu Wawan Dhewanto Eko Agus Prasetio An Agent-Based Model for 5G Technology Diffusion in Urban Societies: Simulating Two Development Scenarios
description	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.
format	article
author	Sahat Hutajulu Wawan Dhewanto Eko Agus Prasetio
author_facet	Sahat Hutajulu Wawan Dhewanto Eko Agus Prasetio
author_sort	Sahat Hutajulu
title	An Agent-Based Model for 5G Technology Diffusion in Urban Societies: Simulating Two Development Scenarios
title_short	An Agent-Based Model for 5G Technology Diffusion in Urban Societies: Simulating Two Development Scenarios
title_full	An Agent-Based Model for 5G Technology Diffusion in Urban Societies: Simulating Two Development Scenarios
title_fullStr	An Agent-Based Model for 5G Technology Diffusion in Urban Societies: Simulating Two Development Scenarios
title_full_unstemmed	An Agent-Based Model for 5G Technology Diffusion in Urban Societies: Simulating Two Development Scenarios
title_sort	agent-based model for 5g technology diffusion in urban societies: simulating two development scenarios
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d2fcaf2be9d64e22adce3b187b1f5964
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An Agent-Based Model for 5G Technology Diffusion in Urban Societies: Simulating Two Development Scenarios

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