CALL FOR PAPERS

Human Differences in Adoption, Use, and Participation with Technology

Mini Track for the Social Inclusion Track at AMCIS 2010

Description:
Technology has become integrated into the fiber of our society in
increasingly important ways.  From the use of the Internet to interact
with virtual communities to the development of electronic medical
records, attention must be paid to not only how technology is being
used, but who is using the technology.  In an effort to increase the
use and usefulness of technological innovations, it is important for
studies to examine how technology is being adopted and used by diverse
populations.

Information Systems researchers have acknowledged the importance of
studies that investigate human and individual differences in
technology adoption, use and participation (Igbaria et al., 1995;
Jackson et al., 1997; Agarwal & Prasad, 1999; Trauth, 2006).  Studies
on the topic have found that individual differences have a direct
effect on the frequency and volume of usage (Burton-Jones & Hubona,
2005). In addition, a myriad of socio-cultural factors may influence
different outcomes in user responses to technological systems (Gefen &
Straub, 1997).  Malhotra and Galletta (1999) also found that social
influences play a significant role in the determination of acceptance
and usage behavior of new adopters of new information.

Currently, in research on human differences in adoption, use, and
participation with technology, factors which are being investigated
include race, culture, age, gender, self-efficacy, and socio-economic
status among others.  The adoption, use and participation with
information and communication technologies (ICT) are opportunities to
advance the growth of social inclusion communities.  Human differences
also help to focus or provide new solutions through ICT to problems of
social inclusion within diverse populations. This track invites papers
that focus on human individual differences amongst the adoption, use,
and participation with ICT in the context of how these differences and
behaviors have broader impact on social inclusion and the digital
divide.  We are interested in including papers that are both
conceptually and empirically based. The topics of interest include but
are not limited to the following:

List of topics

Use of technology for health, education and economic development for
greater social inclusion of individuals and/or organizations
Race, gender, and culture influencing ICT adoption and use of technology
Adoption, use, or participation of technology for the betterment of
social inclusion among Latin and Caribbean countries
The impact of socio-economic factors relevant to adoption, use and
participation of technology
The digital divide
Governments roles through network technologies to achieve
collaboration and togetherness among citizens of social inclusion
The influence of the use and participation of ICT to produce more
socially inclusive communities
How human differences improve and effect the use of or participation
with ICT among social inclusive communities

References:

Agarwal, R. & Prasad, J. (1999). Are individual differences germane to
the acceptance of new
information technologies? Decision Sciences, 30, 361–391.

Burton-Jones, A. & Hubona, G.S. (2005).  Individual differences and
usage behavior: revisiting a
technology acceptance model assumption,” The DATABASE for Advances in
Information
Systems, 36(2), 58-77.

Gefen, D., & Straub, D. W. (1997). Gender differences in the
perception and use of E-mail: An extension
to the technology acceptance model. MIS Quarterly, 21(4), 389-400.

Igbaria, M., Guimaraes, T. & Davis, G. B. (1995). Testing the
determinants of microcomputer usage via a
structural equation model. Journal of Management Information Systems,
11, 87–114.

Jackson, C. M., Chow, S., & Leitch, R.A. (1997). Toward an
understanding of the behavior intention to
use an information system. Decision Sciences, 28(2), 357-387.

Malhotra, Y. and Galletta, D.F. (1999). "Extending the Technology
Acceptance Model to Account for
Social Influence: Theoretical Bases and Empirical Validation," Hawaii
International Conference on Systems Sciences, pp. 6-14.

Trauth, E.M. (2006). Theorizing gender and information technology
research using the individual
differences theory of gender and IT. The Encyclopedia of Gender and
Information Technology (pp. 1154-1159).

Warschauer, M. (2003). Technology and Social Inclusion: Rethinking the
Digital Divide, The MIT Press.

Mini-Track Chairs:

Allison Morgan, Ph.D.
Email: aj_morgan@howard.edu
Department of Information Systems and Decision Sciences
School of Business
Howard University
Washington, DC 20059

Renée Pratt-Toston, Ph.D.
Email: prattr@wlu.edu
Department of Business Administration
The Williams School of Commerce, Economics and Politics
Washington and Lee University
Lexington, VA 24450

Submission Process:
Full paper submissions must be made electronically through the AMCIS online
submission system http://mc.manuscriptcentral.com/amcis2010. Papers will be
peer-reviewed using a double-blind review system and will be considered for
AMCIS Best Paper Awards.

Key Dates:
- Full papers due: March 1, 2010
- Notification of acceptance: April 12, 2010
- Final copy due: April 26, 2010

You may seek more information at http://www.amcis2010.org/home/. You
are also welcome to contact the mini-track chairs.

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