Abstract
In this paper we present a framework for evaluating the social impact of high-bandwidth Internet provision and use in Australia. High-bandwidth Internet will be provided through a national broadband network to be rolled out gradually and which began in 2011. The framework is based around four key aspects: (1) identifying provision of the national broadband network as an intervention, (2) specification of important outcomes, (3) understanding the behavioural link between intervention and outcomes and (4) conduct of high-quality population-based empirical research. The framework is sufficiently flexible that it can be adapted and applied to various regions of Australia and, depending on the appropriate focus, to the conduct of different types of studies. It is hoped that, by focusing attention on the human behavioural link between high-bandwidth Internet provision and individual outcomes in the general community, we will be able to identify ways of promoting social inclusion and other benefits through appropriate use of the national broadband network .
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Abbreviations
- ACBI:
-
Australian Centre for Broadband Innovation
- CSIRO:
-
Commonwealth Scientific and Industrial Research Organisation
- GIS:
-
Geographic information system
- G-NAF:
-
Geocoded National Address File
- HBI:
-
High-bandwidth Internet
- NBN:
-
National broadband network
- RISIR:
-
Regional Initiative for Social Innovation and Research
- TPB:
-
Theory of Planned Behaviour
References
Ajzen I (1991) The theory of planned behaviour. Organ Behav Hum Dec 50:179–211
Ajzen I (2006) Constructing a TPB questionnaire: conceptual and methodological considerations. http://people.umass.edu/aizen/pdf/tpb.measurement.pdf. Accessed 12 Jul 2012
Armitage CJ, Conner M (2001) Efficacy of the theory of planned behaviour: a meta-analytic review. Br J Soc Psychol 40:471–499
Bagozzi RP (2007) The legacy of the technology acceptance model and a proposal for a paradigm shift. J Assoc Inf Syst 8:244–254
Chen HY (2003) A note on the prospective analysis of outcome-dependent samples. J Roy Statist Soc Ser B 65:575–584
Choudrie J, Dwivedi YK (2004) Towards a conceptual model of broadband diffusion. J Comput Inform Tech 12:323–338
Choudrie J, Dwivedi YK (2006) Investigating factors influencing adoption of broadband in the household. J Comput Inform Syst 46:25–34
Dane SD, Stenner K, Hobman EV (2012) Predicting subjective well-being: material versus psycho-social needs. Report EP 124179. Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manage Sci 35:982–1002
Diener E, Emmons R, Larsen J, Griffin S (1985) The satisfaction with life scale. J Pers Assess 49:71–75
Dwivedi YK, Choudrie J, Brinkman WP (2006) Developing a survey instrument to examine consumer adoption of broadband. Ind Manag Data Syst 106:700–718
Dwivedi YK, Williams MD, Lal B, Mustafee N (2010) An analysis of literature on consumer adoption and diffusion of information system/information technology/information and communication technology. Int J Electron Gov Res 6:58–73
Fishbein M, Cappella JN (2006) The role of theory in developing effective health communications. J Commun. doi:10.1111/j.1460-2466.2006.00280
Hayes R (2011) Valuing broadband benefits. Institute for a broadband-enabled society. University of Melbourne, Melbourne
Jeyaraj A, Rottman JW, Lacity MC (2006) A review of the predictors, linkages, and biases in IT innovation adoption research. J Inf Technol. doi:10.1057/palgrave.jit.2000056
Leeuw F, Vaessen J (2009) Impact evaluations and development: NONIE guidance on impact evaluation. World Bank, Washington, DC
McLachlan GJ, Peel D (2000) Finite mixture models. Wiley, New York
Montano DE, Kasprzyk D (2008) Theory of reasoned action, theory of planned behaviour, and the integrated behavioural model. In: Glanz K, Rimmer BK, Viswanath K (eds) Health behavior and health education. Theory, research, and practice, 4th edn. Jossey-Bass, San Franciso, CA
Mundfrom DJ, Shaw DG, Lu Ke T (2005) Minimum sample size recommendations for conducting factor analyses. Int J Test 5:159–168
Rogers EM (1995) Diffusions of innovations. Free Press, New York
Ryff CD (1989) Happiness is everything, or is it? Explorations on the meaning of psychological well-being. J Pers Soc Psychol 57:1069–1081
Silva L (2007) Post-positivist review of technology acceptance model. J Assoc Inf Syst 8:255–266
Skrondal A, Rabe-Hesketh S (2004) Generalized latent variable modeling. Chapman and Hall, Boca Raton, FL
Venkatesh V, Morris MG, Davis GB, Davis FD (2003) User acceptance of information technology: toward a unified approach. Mis Quart 27:425–477
Venkatesh V, Davis FD, Morris MG (2007) Dead or alive? The development, trajectory and future of technology adoption research. J Assoc Inf Syst 8:267–286
Watson D, Clark LA, Tellegen A (1988) Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol 54:1063–1070
Williams T (2011) Connecting communities: the impact of broadband on communities in the UK and its implications for Australia. Huawei Technologies Co. Ltd, Sydney
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Dane, S. et al. (2013). A Framework for Evaluating the Impact of High-Bandwidth Internet Provision and Use on Digital Literacy and Social Life Outcomes in Australia. In: Linger, H., Fisher, J., Barnden, A., Barry, C., Lang, M., Schneider, C. (eds) Building Sustainable Information Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-7540-8_8
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DOI: https://doi.org/10.1007/978-1-4614-7540-8_8
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