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Measuring the digital divide: A modified benefit-of-the-doubt approach
Journal article   Peer reviewed

Measuring the digital divide: A modified benefit-of-the-doubt approach

Mahdi Mahdiloo, Amir E. Andargoli, Mehdi Toloo, Charles Harvie and Thao Duong
Knowledge-based systems, Vol.261, 110191
2023

Abstract

Benefit of the doubt Composite index Digital divide Digital inclusion index Non-compensatory subindexes Data engineering and data science
In this paper, a modified composite index is developed to measure digital inclusion for a group of cities and regions. The developed model, in contrast to the existing benefit-of-the-doubt (BoD) composite index literature, considers the subindexes as non-compensatory. This new way of modeling results in three important properties: (i) all subindexes are taken into account when assessing the digital inclusion of regions and are not removed (substituted) from the composite index, (ii) in addition to an overall composite index (aggregation of the subindexes), partial indexes (aggregated scores for each subindex) are also provided so that weak performances can be detected more effectively than when only the overall index is measured, and (iii) compared with current BoD models, the developed model has improved discriminatory power. To demonstrate the developed model, we use the Australian digital inclusion index as a real-world example.

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UN Sustainable Development Goals (SDGs)

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#9 Industry, Innovation and Infrastructure

Source: InCites

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
6 Social Sciences
6.10 Economics
6.10.502 Data Envelopment Analysis
Web Of Science research areas
Computer Science, Artificial Intelligence
ESI research areas
Computer Science
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