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

Author

Listed:
  • Sahat Hutajulu

    (Institut Teknologi Bandung, School of Business Management, Bandung 40132, Indonesia)

  • Wawan Dhewanto

    (Institut Teknologi Bandung, School of Business Management, Bandung 40132, Indonesia)

  • Eko Agus Prasetio

    (Institut Teknologi Bandung, School of Business Management, Bandung 40132, Indonesia)

Abstract

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.

Suggested Citation

  • Sahat Hutajulu & Wawan Dhewanto & Eko Agus Prasetio, 2021. "An Agent-Based Model for 5G Technology Diffusion in Urban Societies: Simulating Two Development Scenarios," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12698-:d:680787
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    References listed on IDEAS

    as
    1. Hutajulu, Sahat & Dhewanto, Wawan & Prasetio, Eko Agus, 2020. "Two scenarios for 5G deployment in Indonesia," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    2. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    3. Mart van der Kam & Annemijn Peters & Wilfried van Sark & Floor Alkemade, 2019. "Agent-Based Modelling of Charging Behaviour of Electric Vehicle Drivers," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(4), pages 1-7.
    4. Kowalska-Pyzalska, Anna & Maciejowska, Katarzyna & Suszczyński, Karol & Sznajd-Weron, Katarzyna & Weron, Rafał, 2014. "Turning green: Agent-based modeling of the adoption of dynamic electricity tariffs," Energy Policy, Elsevier, vol. 72(C), pages 164-174.
    5. Duncan J. Watts & Steven H. Strogatz, 1998. "Collective dynamics of ‘small-world’ networks," Nature, Nature, vol. 393(6684), pages 440-442, June.
    6. J. Gareth Polhill & Lee-Ann Sutherland & Nicholas M. Gotts, 2010. "Using Qualitative Evidence to Enhance an Agent-Based Modelling System for Studying Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(2), pages 1-10.
    7. Dania Marabissi & Lorenzo Mucchi & Romano Fantacci & Maria Rita Spada & Fabio Massimiani & Andrea Fratini & Giorgio Cau & Jia Yunpeng & Lucio Fedele, 2018. "A Real Case of Implementation of the Future 5G City," Future Internet, MDPI, vol. 11(1), pages 1-16, December.
    8. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
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