Electronic government services in Brazil: an analysis based on measures of access and users’ internet skills

Araujo, Marcelo Henrique de; Reinhard, Nicolau; Cunha, Maria Alexandra

doi:10.1590/0034-7612171925

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Article • Rev. Adm. Pública 52 (4) • Jul-Aug 2018 • https://doi.org/10.1590/0034-7612171925 copy

Electronic government services in Brazil: an analysis based on measures of access and users’ internet skills

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

This article aims to analyze how measures to promote Internet access, and users’ competencies influence the use of electronic government services in Brazil. We adopted Sen’s Capability Approach as theoretical framework in order to analyze the microdata from the ICT Households 2013, a national-wide survey coordinated by the Regional Center for Studies on Development of the Information Society (Cetic.br). The results indicate that for social classes C (middle class), D and E (lower class) the increase in the odds ratio of the use of e-gov services is strongly influenced by both internet access preferably at home or work (individual access) as well as the users’ internet skills.

Keywords:
electronic government; capability approach; ICT Households Survey; internet skills

Criteria	Size (n)
Complete database	16,887
Urban region	14,931
Individuals of 16 years of age or older	13,703
Users who have already used the internet	7,783
Users that have used the internet at least once in the past three months	6,739 (sample)
Classes A and B (aggregate)	3,123 (46.3%)
Class C	3,206 (47.6%)
Classes D and E (aggregate)	410 (6.1%)

Internet Access Location (most frequent)	Social Class
Internet Access Location (most frequent)	A and B	C	D and E
Home	78.7%	67.7%	45.9%
Work	16.5%	12.1%	12.2%
School	0.5%	1.2%	2.0%
Someone else’s house	1.4%	9.4%	17.1%
Telecenter (free public access center)	0.1%	0.5%	1.0%
Cybercafé (paid public access center)	1.1%	6.5%	16.8%
On the move	1.5%	2.2%	4.9%
Other locations	0.1%	0.6%	0.2%

Usage Pattern Dimension (Latent Factors)	Variables/Items	Explained Variation (%)	Minimum Factor Loadings	KMO	KR-20
Communication	6	63.43	0.69	0.83	0.71
Looking Up Information and Transactions	8	63.30	0.62	0.90	0.82
Multimedia	7	61.59	0.61	0.86	0.77
Education and Work	5	68.42	0.76	0.85	0.74
Content Creation and Sharing	3	84.00	0.90	0.75	0.83
Downloads	4	81.60	0.87	0.84	0.80

Internet Usage Pattern	Clusters
Internet Usage Pattern	1	2	3	4
Communication	0.15314	0.17767	-0.69462	1.07973
Looking Up Information and Transactions	-0.24106	0.60677	-0.75588	1.20723
Multimedia	0.34944	-0.03575	-0.74378	1.18041
Education and Work	-0.34153	0.54513	-0.69025	1.24767
Content Creation and Sharing	0.40748	-0.05434	-0.71951	1.08437
Downloads	0.72016	-0.43915	-0.75100	1.19420

Access Location	User profile clusters
	Interactive Use		Professional Use		Limited Use		Broad Use
	Class C	Classes D and E	Class C	Classes D and E	Class C	Classes D and E	Class C	Classes D and E
Home	1.52	-	-	-	0.39	-	3.4	-
Work	-	-	-	-	0.51	-	3.5	0.99
Someone else’s house	-	-	0.61	0.25	-	2.8	-	-
Telecenter	-	-	-	-	-	-	-	-
Cybercafé	-	-	-	-	-	2.57	-	0.22
On the move	-	-	-	-	0.57	3	4.9	-

User Groups	Class C	Classes D and E
Interactive Use	1.3	2.072
Professional Use	3.14	5.62
Limited Use	0.21	0.16
Broad Use	6.8	6.78

Internet Access Location	Class C	Classes D and E
Home	1.6	1.6
Work	2.2	1.99
Someone else’s house	-	-
Telecenter	-	-
Cybercafé	-	-
On the move	-	-

Fundação Getulio Vargas Fundaçãoo Getulio Vargas, Rua Jornalista Orlando Dantas, 30, CEP: 22231-010 / Rio de Janeiro-RJ Brasil, Tel.: +55 (21) 3083-2731 - Rio de Janeiro - RJ - Brazil
E-mail: rap@fgv.br

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[1] Marcelo Henrique de Araujo - PhD Candidate in Business Administration in the School of Economics, Business and Accounting at the University of São Paulo (FEA-USP). E-mail: marcelo.haraujo@usp.br.