The digital divide and t-government in the United States: using the technology acceptance model to understand usage

Sipior, Janice C.; Ward, Burke T.; Connolly, Regina

doi:10.1057/ejis.2010.64

Cited by 104 publications

(74 citation statements)

References 60 publications

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“…And, if this population of persons experiencing street homelessness can be successful with this method of data collection, perhaps other disenfranchised, difficult-to-track, and difficult-to-reach populations could be followed using web-based data collection methods. Local governments are striving to decrease the Bdigital divide,p roviding free or greatly-discounted wi-fi connectivity as well as mobile computer lab access to low-income geographic areas [52][53][54][55]. Our pilot study shows that these actions, in combination with increased smart phone ownership, may permit more marginalized populations to connect and communicate with investigators.…”

Section: Discussionmentioning

confidence: 87%

How Feasible is Multiple Time Point Web-Based Data Collection with Individuals Experiencing Street Homelessness?

Eyrich‐Garg

Moss

2017

J Urban Health

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Three barriers investigators often encounter when conducting longitudinal work with homeless or other marginalized populations are difficulty tracking participants, high rates of no-shows for follow-up interviews, and high rates of loss to follow-up. Recent research has shown that homeless populations have substantial access to information technologies, including mobile devices and computers. These technologies have the potential both to make longitudinal data collection with homeless populations easier and to minimize some of these methodological challenges. This pilot study's purpose was to test whether individuals who were homeless and sleeping on the streets-the Bstreet homeless^-would answer questions remotely through a web-based data collection system at regular Bfollowup^intervals. We attempted to simulate longitudinal data collection in a condensed time period. Participants (N = 21) completed an in-person baseline interview. Each participant was given a remotely reloadable gift card. Subsequently, weekly for 8 weeks, participants were sent an email with a link to a SurveyMonkey questionnaire. Participants were given 48 h to complete each questionnaire. Data were collected about life on the streets, service use, community inclusion, substance use, and high-risk sexual behaviors. Ten dollars was remotely loaded onto each participant's gift card when they completed the questionnaire within the completion window. A substantial number of participants (67% of the total sample and 86% of the adjusted sample) completed at least seven out of the eight follow-up questionnaires. Most questionnaires were completed at public libraries, but several were completed at other types of locations (social service agencies, places of employment, relative/friend/acquaintance's domiciles, or via mobile phone). Although some of the questions were quite sensitive, very few participants skipped any questions. The only variables associated with questionnaire completion were frequency of computer use and education-both positive associations. This pilot study suggests that collecting longitudinal data online may be feasible with a subpopulation of persons experiencing homelessness. We suspect that participant follow-up rates using web-based data collection methods have the potential to exceed follow-up rates using traditional in-person interviews. If this population of persons experiencing street homelessness can be successful with this method of data collection, perhaps other disenfranchised, difficult-to-track, or difficult-to-reach populations could be followed using web-based data collection methods. Local governments are striving to decrease the Bdigital divide,^providing free or greatly discounted wi-fi connectivity as well as mobile computer lab access to low-income geographic areas. These actions, in combination with increased smart phone ownership, may permit vulnerable populations to connect and communicate with investigators.

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Section: Discussionmentioning

confidence: 87%

How Feasible is Multiple Time Point Web-Based Data Collection with Individuals Experiencing Street Homelessness?

Eyrich‐Garg

Moss

2017

J Urban Health

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“…In a study of a sample of US counties, employment in professional, scientific, technical services was the leading socio-economic factor associated with revenues and payroll for IS and telecommunications/broadcasting industries, while household income and other services were correlates of telecommunications/broadcasting [2]. In research on a technologically-disadvantaged community in the US, small sample findings indicated that usage was associated with the economic factors of employment status and household income [27]. A national U.S. survey study of 941 respondents of internet access found high family income was among the strongest predictors of internet access, while age and graduate education were even stronger [4].…”

Section: Conceptual Models Of Internet Use In Us Statesmentioning

confidence: 99%

“…Over the years, a number of studies [1,2,4,21,27] have examined various aspects of ICT adoption, diffusion, and access. A number of these studies have focused on examining socioeconomic influences on adoption and access for a particular form of ICT, for example, the internet [1,4,28], broadband [8,22], while a few [2,20] have focused on computer adoption in the household along with an array of ICT access.…”

Section: Literature Reviewmentioning

confidence: 99%

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Internet Use and Online Activities in U.S. States: Geographic Disparities and Socio-economic Influences

Pick¹,

Sarkar²,

Parrish³

2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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“…However, the use of TAM has not been used extensively in the case of t-Gov, taking under consideration its nature [36] [37]. Therefore, this study aims to: understand the factors that affect citizens' adoption and on going usage of LGAF, and suggest a conceptual model explaining the dynamics of citizens and acceptance of the LGAF.…”

Section: Technology Acceptance Theoriesmentioning

confidence: 99%

Transformational Government Citizens’ Services Adoption: A Conceptual Framework

Stamati¹,

Παπαδόπουλος²,

Martakos³

2011

Lecture Notes in Computer Science

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Abstract. Despite the need expressed in the literature for shedding light upon the mechanisms that underpin the transformational process of t-Government, there is still research to be conducted regarding the critical factors that affect the citizens' adoption of local government transformational services. To address this gap, this research reports on the findings of the use of the structured-case approach and suggests a framework to investigate the success factors for t-Gov in a Greek context. The paper reveals that transformational government is not a state, but a process entailing experiential judgement. Existing acceptance theories, hence, need to be complemented by additional variables that affect citizens' adoption of transformational services.

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The digital divide and t-government in the United States: using the technology acceptance model to understand usage

Cited by 104 publications

References 60 publications

How Feasible is Multiple Time Point Web-Based Data Collection with Individuals Experiencing Street Homelessness?

How Feasible is Multiple Time Point Web-Based Data Collection with Individuals Experiencing Street Homelessness?

Internet Use and Online Activities in U.S. States: Geographic Disparities and Socio-economic Influences

Transformational Government Citizens’ Services Adoption: A Conceptual Framework

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