Digital exclusion and relative digital deprivation: Exploring factors and moderators of internet non-use in the UK
Article
Ueno, A., Dennis, C. and Dafoulas, G. 2023. Digital exclusion and relative digital deprivation: Exploring factors and moderators of internet non-use in the UK. Technological Forecasting and Social Change. 197. https://doi.org/10.1016/j.techfore.2023.122935
Type | Article |
---|---|
Title | Digital exclusion and relative digital deprivation: Exploring factors and moderators of internet non-use in the UK |
Authors | Ueno, A., Dennis, C. and Dafoulas, G. |
Abstract | This paper investigates internet non-use in the UK. We apply Resource and Appropriation Theory (RAT), identifying main factors associated with internet non-use in the UK: (1) older age, (2) lower socio-economic classification, (3) disability, (4) less education/qualifications, and (5) lower housing tenure. We extend RAT by exploring magnifying effects of disadvantages, particularly, moderating effects of gender, housing tenure, urban/rural, North/South divide, and ethnicity. Internet non-users tend to be in lower-paid jobs, which impacts productivity even more during than before Covid, closing the loop of the RAT vicious circle. A thread runs through the results on the importance of attitudes and motivation. Accordingly, we recommend interventions based on Relative Digital Deprivation Theory. Once an individual understands that they suffer digital inequality, they are more likely to change attitudes and behavior to reduce inequality. If encouraged by family and friends, they may then view internet non-use as fixable and worth fixing, potentially becoming internet users. |
Keywords | Digital divide; digital poverty; digital exclusion; Resource and Appropriation Theory; Relative Digital Deprivation Theory; Covid-19 |
Sustainable Development Goals | 1 No poverty |
Middlesex University Theme | Health & Wellbeing |
Research Group | Strategic Marketing, Consumer Behaviour and Branding/Identity group |
Publisher | Elsevier |
Journal | Technological Forecasting and Social Change |
ISSN | 0040-1625 |
Electronic | 1873-5509 |
Publication dates | |
Online | 23 Oct 2023 |
Dec 2023 | |
Publication process dates | |
Deposited | 25 Oct 2023 |
Accepted | 15 Oct 2023 |
Submitted | 18 Jan 2023 |
Output status | Published |
Publisher's version | License |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.techfore.2023.122935 |
Language | English |
https://repository.mdx.ac.uk/item/w0v26
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