Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory

Hossein Sabzian, Mohammad Ali Shafia, Mehdi Ghazanfari and Ali Bonyadi Naeini
Additional contact information
Hossein Sabzian: Department of Progress Engineering, Iran University of Science and Technology, Tehran 16846–13114, Iran
Mohammad Ali Shafia: Department of Progress Engineering, Iran University of Science and Technology, Tehran 16846–13114, Iran
Mehdi Ghazanfari: Department of Progress Engineering, Iran University of Science and Technology, Tehran 16846–13114, Iran
Ali Bonyadi Naeini: Department of Progress Engineering, Iran University of Science and Technology, Tehran 16846–13114, Iran

Sustainability, 2020, vol. 12, issue 7, 1-36

Abstract: Understanding the mechanism underlying the mobile telecommunications technologies (MTTs) diffusion in a country is crucial for telecom planners to know how to accelerate their diffusion by designing appropriate scenarios. Considering the technology diffusion as a bottom-up process, this study is aimed at exploring this mechanism, drawing on insights from diffusion of innovation theory and social network theory. Accordingly, an agent-based model is proposed to investigate how MTTs are diffused in Iran over time. The results of this study show, (1) social network of Iranian society seems more similar to a Watts–Strogatz small-world network than a Barabási–Albert preferential attachment network, where the clustering coefficient is high and average path length is low, (2) compared to the compatibility parameter, the advertisement parameter not only is less influential on diffusion of a targeted MTT (i.e., 4G) but also is not necessary for it, and (3) scenarios having the least number of steps and turning points are more appropriate for continuous diffusion of 4G. The proposed study is empirically validated against real-world data ranging from 7/1/2017 to 12/31/2017. We believe it provides telecom planners insights regarding MTTs diffusion mechanism in a social complex structure and the how of scenario designing for increasing their diffusion.

Keywords: Mobile telecommunications technologies (MTTs); Long term evolution (LTE 4G); Diffusion mechanism; Agent-based modeling (ABM); Social network theory (SNT) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2071-1050/12/7/2904/pdf (application/pdf)
https://www.mdpi.com/2071-1050/12/7/2904/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:7:p:2904-:d:341868

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().