AIS Newsletter

IS SECTION / AMERICAN ACCOUNTING ASSOCIATION.

In the Literature—Research on User Participation/Acceptance of IT

ADOPTION OF TECHNOLOGY-MEDIATED LEARNING IN THE U.S.

Zafer D Ozdemir, Kemal Altinkemer, John M Barron. Decision Support Systems. May 2008. Vol. 45, Iss. 2; pg. 324

 

Abstract (Summary)

Technology-mediated learning (TML) has been a growing trend among higher education institutions in the U.S., especially after the inception of e-commerce. In this paper, we develop an analytical framework that focuses on the relationship between the extent of TML adoption and students' return from a higher education degree. This framework is used to derive hypotheses about how adoption levels should vary based on the institutional and student characteristics of a university. Using an extensive data set for the 2000-2001 academic year, our empirical work supports hypotheses concerning the importance of the quality and location of institutions as well as students' time value on the TML adoption decision. Specifically, we find that TML is used more in lower-ranked universities, in states with high population densities, and at the graduate than the undergraduate level. These results provide insights on the kind of institutions and program offerings that stand to gain the most from adopting TML. [PUBLICATION ABSTRACT]

 

 

 

 

 

 

 

 

 

HOW DOES PERSONALITY MATTER? RELATING THE FIVE-FACTOR MODEL TO TECHNOLOGY ACCEPTANCE AND USE

Sarv Devaraj, Robert F Easley, J Michael Crant. Information Systems Research. Mar 2008. Vol. 19, Iss. 1; pg. 93, 15 pgs

Abstract (Summary)

The five-factor model (FFM) of personality has been used to great effect in management and psychology research to predict attitudes, cognitions, and behaviors, but has largely been ignored in the IS field. We demonstrate the potential utility of incorporating this model into IS research by using the FFM personality factors in the context of technology acceptance. We propose a dispositional perspective to understanding user attitudes and beliefs, and examine the effect of user personality-captured using the FFM's big five factors-on both the perceived usefulness of and subjective norms toward the acceptance and use of technology. Using logged usage data from 180 new users of a collaborative technology, we found general support for our hypotheses that the FFM personality dimensions can be useful predictors of users' attitudes and beliefs. We also found strong support for the relationships between intention to use and system use. [PUBLICATION ABSTRACT]

 

 

 

 

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