Home > Research > Publications & Outputs > Measuring residential internet service adoption...
View graph of relations

Measuring residential internet service adoption patterns

Research output: Working paper

Published

Standard

Measuring residential internet service adoption patterns. / Robertson, A; Soopramanien, D G R; Fildes, R A.

Lancaster University : The Department of Management Science, 2005. (Management Science Working Paper Series).

Research output: Working paper

Harvard

Robertson, A, Soopramanien, DGR & Fildes, RA 2005 'Measuring residential internet service adoption patterns' Management Science Working Paper Series, The Department of Management Science, Lancaster University.

APA

Robertson, A., Soopramanien, D. G. R., & Fildes, R. A. (2005). Measuring residential internet service adoption patterns. (Management Science Working Paper Series). The Department of Management Science.

Vancouver

Robertson A, Soopramanien DGR, Fildes RA. Measuring residential internet service adoption patterns. Lancaster University: The Department of Management Science. 2005. (Management Science Working Paper Series).

Author

Robertson, A ; Soopramanien, D G R ; Fildes, R A. / Measuring residential internet service adoption patterns. Lancaster University : The Department of Management Science, 2005. (Management Science Working Paper Series).

Bibtex

@techreport{537dbfa89773436a953f38d21a05effc,
title = "Measuring residential internet service adoption patterns",
abstract = "Successful ICT policy analyses and implementation rely on a sufficient knowledge of how and why consumers adopt new technologies. For instance, analysts of the digital divide may need to quantify the factors that are perceived to drive this ICT usage gap. This paper focuses on understanding the key factors involved in residential internet choice, and therefore the digital divide. Using survey data collected in the UK, internet choice structure is analysed using a discrete choice model that embodies both human characteristic and product attribute data. The benefit of this approach is that it is possible to statistically test if the factors of choice vary between dial-up and broadband services. A logit model is estimated and this model reveals that price and income elasticity effects vary systematically by household type. This finding will be important to market planners wishing to understand and quantify the impact of the assessed factors on digital division.",
keywords = "Broadband, Internet, Logit, Digital Divide, Price",
author = "A Robertson and Soopramanien, {D G R} and Fildes, {R A}",
year = "2005",
language = "English",
series = "Management Science Working Paper Series",
publisher = "The Department of Management Science",
type = "WorkingPaper",
institution = "The Department of Management Science",

}

RIS

TY - UNPB

T1 - Measuring residential internet service adoption patterns

AU - Robertson, A

AU - Soopramanien, D G R

AU - Fildes, R A

PY - 2005

Y1 - 2005

N2 - Successful ICT policy analyses and implementation rely on a sufficient knowledge of how and why consumers adopt new technologies. For instance, analysts of the digital divide may need to quantify the factors that are perceived to drive this ICT usage gap. This paper focuses on understanding the key factors involved in residential internet choice, and therefore the digital divide. Using survey data collected in the UK, internet choice structure is analysed using a discrete choice model that embodies both human characteristic and product attribute data. The benefit of this approach is that it is possible to statistically test if the factors of choice vary between dial-up and broadband services. A logit model is estimated and this model reveals that price and income elasticity effects vary systematically by household type. This finding will be important to market planners wishing to understand and quantify the impact of the assessed factors on digital division.

AB - Successful ICT policy analyses and implementation rely on a sufficient knowledge of how and why consumers adopt new technologies. For instance, analysts of the digital divide may need to quantify the factors that are perceived to drive this ICT usage gap. This paper focuses on understanding the key factors involved in residential internet choice, and therefore the digital divide. Using survey data collected in the UK, internet choice structure is analysed using a discrete choice model that embodies both human characteristic and product attribute data. The benefit of this approach is that it is possible to statistically test if the factors of choice vary between dial-up and broadband services. A logit model is estimated and this model reveals that price and income elasticity effects vary systematically by household type. This finding will be important to market planners wishing to understand and quantify the impact of the assessed factors on digital division.

KW - Broadband

KW - Internet

KW - Logit

KW - Digital Divide

KW - Price

M3 - Working paper

T3 - Management Science Working Paper Series

BT - Measuring residential internet service adoption patterns

PB - The Department of Management Science

CY - Lancaster University

ER -