Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6708
Title: Understanding digital inequality : comparing continued use behavioral models of the socio-economically advantaged and disadvantaged
Authors: Hsieh, JJPA
Rai, A
Keil, M
Keywords: Digital divide
Digital inequality
IT policy
Technology acceptance
Socio-economic inequality
Issue Date: Mar-2008
Publisher: MIS Research Center
Source: MIS quarterly, Mar. 2008, v. 32, no. 1, p. 97-126 How to cite?
Journal: MIS quarterly 
Abstract: Digital inequality is one of the most critical issues in the knowledge economy. The private and public sectors have devoted tremendous resources to address such inequality, yet the results are inconclusive. Theoretically grounded empirical research is needed both to expand our understanding of digital inequality and to inform effective policy making and intervention. The context of our investigation is a city government project, known as the LaGrange Internet TV initiative, which allowed all city residents to access the Internet via their cable televisions at no additional cost. We examine the residents’ post-implementation continued use intentions through a decomposed theory of planned behavior perspective, which is elaborated to include personal network exposure. Differences in the behavioral models between socio-economically advantaged and disadvantaged users who have direct usage experience are theorized and empirically tested. The results reveal distinct behavioral models and isolate the key factors that differentially impact the two groups. The advantaged group has a higher tendency to respond to personal network exposure. Enjoyment and confidence in using information and communication technologies, availability, and perceived behavioral control are more powerful in shaping continued ICT use intention for the disadvantaged. Implications for research and practice are discussed.
URI: http://hdl.handle.net/10397/6708
ISSN: 0276-7783
EISSN: 2162-9730
Rights: Copyright © 2008 by the Management Information Systems Research Center (MISRC) of the University of Minnesota. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and full citation on the first page. Copyright for components of this work owned by others than the MISRC must be honored. Abstracting with credit is permitted. To copy otherwise, to post on servers, or to redistribute to lists requires prior specific permission and possibly a fee. Request permission to publish from: MIS Quarterly; Carlson School of Management; University of Minnesota; 321 19th Ave. So.; Minneapolis, MN 55455. ISSN: 0276-7783.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Hsieh Rai Keil (MISQ) 2008.pdf332.17 kBAdobe PDFView/Open
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

251
Last Week
0
Last month
Citations as of May 16, 2017

WEB OF SCIENCETM
Citations

168
Last Week
1
Last month
1
Citations as of Aug 23, 2017

Page view(s)

139
Last Week
6
Last month
Checked on Aug 21, 2017

Download(s)

1,012
Checked on Aug 21, 2017

Google ScholarTM

Check



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.