Diffusion of mobile telephony in India: An empirical study

Ruchita Gupta and Karuna Jain

Technological Forecasting and Social Change, 2012, vol. 79, issue 4, 709-715

Abstract: Diffusion of new technology is an important driver of economic growth. In this paper, diffusion of mobile telephony in India is studied. There is a vast diffusion potential in this country which needs to be exploited efficiently and in a rational way. This paper investigates the social, technological, economical and political (STEP) factors that have influenced the diffusion process of mobile telephony especially the diffusion speed. The epidemic model, which is widely employed in the diffusion studies of mobile telephony, is used for the study. The data is fitted into logistic, gompertz, and bass models by nonlinear least squares and it is found that gompertz model best describes the diffusion process of mobile telephony in India. The study reveals that competition and government intervention played a significant role in accelerating the diffusion speed of mobile telephony by making the technology affordable. It is found that mobile telephony is a substitute for fixed line telephony in India. The findings will be useful in taking managerial decisions with respect to factors in forecasting and controlling the diffusion process of emerging technologies.

Keywords: Mobile telephony; India; Diffusion; Epidemic; Competition (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (49)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162511001703
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:79:y:2012:i:4:p:709-715

DOI: 10.1016/j.techfore.2011.08.003

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 ().