-------- Original-Nachricht -------- Betreff: [AISWorld] AMCIS 2010 CFP Minitrack Human Differences in Adoption, Use, and Participation with Technology Datum: Wed, 20 Jan 2010 15:12:29 -0500 Von: Dr. A.J. Morgan ajmorgan.hu@gmail.com An: aisworld@lists.aisnet.org

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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