In:
Libri, Walter de Gruyter GmbH, Vol. 72, No. 2 ( 2022-06-27), p. 183-198
Abstract:
This research attempts to explore digital divide among tribes in Taiwan and to reveal relevant important tribal contextual features. Firstly, we collect residents’ connection event logs from the free wireless Internet, i-Tribe. Those connect behaviors are quantified as average of daily connection frequency, daily connection time, daily data transmission, inter-login time, Internet speed, and connection quality which are corresponding to evaluate how often, how long, how much, how active, how fast and the effectiveness of the information and communication technology (ICT) accessibility of tribes. Then the tribes are grouped into tribal clusters optimally by a rank aggregation algorithm and are asked if there are significant differences among them by three stages of hypothesis testing. After the phenomenon of digital divide is confirmed, some important contextual features, longitude, female dependency ratio, network environment level, economic service level, and policy cooperation level, are identified using the ordinal regression model (ORM).
Type of Medium:
Online Resource
ISSN:
0024-2667
,
1865-8423
DOI:
10.1515/libri-2021-0114
Language:
English
Publisher:
Walter de Gruyter GmbH
Publication Date:
2022
detail.hit.zdb_id:
2066691-3
detail.hit.zdb_id:
3374-1
SSG:
24,1
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