Explaining Technology Adoption with Information Cascades, a Study of Microblogging Data

Posted: 29 Apr 2010 Last revised: 8 May 2010

See all articles by Thomas Chesney

Thomas Chesney

Nottingham University Business School

Derek Foster

University of London, Lincoln School of Computer Science

Shaun Lawson

University of Lincoln (UK), School of Computer Science

Date Written: April 23, 2010

Abstract

Initial adoption of technology is examined. Initial adoption refers to the point at which the decision to adopt a technology is made, before the user has formed perceptions of - for instance - how easy it is to use or how useful it is. Adoption behaviour is explained in terms of information cascades. An information cascade exists when a potential technology adopter ignores their private information about the technology and is influenced by the adoption decisions of others. Data were drawn from a microblogging service. Microblogging is a form of social networking where short messages are sent from one blogger to many readers. The system is voluntary and unlike many information systems, gives potential adopters the ability to clearly see the adoption decisions of others. Two empirical analyses support the notion that an individual's decision to adopt is influenced by the decisions of others. A third study examines a possible alternative explanation - that some individuals are lurking, thereby adopting the system although not in the way intended by the developers - and discounts it. We found strong support for the importance of the adoption decision of others in an individual's decision to adopt. A general model of these ideas is one which recognises the importance of what might be termed buzz around a technology and how this can influence adoption decisions.

Keywords: Initial adoption, adoption behavior, information cascades

Suggested Citation

Chesney, Thomas and Foster, Derek and Lawson, Shaun, Explaining Technology Adoption with Information Cascades, a Study of Microblogging Data (April 23, 2010). Nottingham University Business School Research Paper No. 2010-09, Available at SSRN: https://ssrn.com/abstract=1594783 or http://dx.doi.org/10.2139/ssrn.1594783

Thomas Chesney (Contact Author)

Nottingham University Business School ( email )

Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB
United Kingdom

Derek Foster

University of London, Lincoln School of Computer Science

Senate House
Malet Street
London, WC1E 7HU
United Kingdom

Shaun Lawson

University of Lincoln (UK), School of Computer Science ( email )

Lincoln LN2
United Kingdom

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