EconPapers    
Economics at your fingertips  
 

Investigating the role of customer's disadoption and dynamic shifts in mobile cellular diffusion: Evidence from emerging economies

Shakshi Singhal, Yasmeen Bano and Ompal Singh

Technological Forecasting and Social Change, 2025, vol. 219, issue C

Abstract: The rapid expansion of mobile cellular telecommunications has significantly improved consumer well-being, making it one of the most transformative innovations of the past 25 years. However, the diffusion patterns of mobile cellular subscriptions in emerging markets remain underexplored. This study develops a predictive model that analyzes customer attrition and dynamic shifts in adoption parameters, addressing key limitations of previous models. Unlike traditional approaches, our model explicitly accounts for the imitative effects of interpersonal communication, customer defection, and evolving market conditions, offering a more realistic representation of service adoption. Using mobile subscription data from BRICS economies, empirical findings highlight the impact of marketing strategies, economic conditions, and disadoption rates on adoption patterns. The model’s predictive accuracy is validated through empirical analysis, demonstrating superior performance to existing diffusion models. These insights provide telecom operators and IT managers with a data-driven approach to optimize market strategies, anticipate adoption trends, and enhance service retention efforts in developing economies.

Keywords: Diffusion of services; Mobile telecommunications; Changepoint analysis; Disadoption; Emerging markets; BRICS economies (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162525002835
Full text for ScienceDirect subscribers only

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:eee:tefoso:v:219:y:2025:i:c:s0040162525002835

DOI: 10.1016/j.techfore.2025.124252

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-08-29
Handle: RePEc:eee:tefoso:v:219:y:2025:i:c:s0040162525002835