WEB AND WIRELESS SITE USABILITY: UNDERSTANDING DIFFERENCES AND MODELING USE.

Author List: Venkatesh, Viswanath; Ramesh, V.;
MIS Quarterly, 2006, Volume 30, Issue 1, Page 181-205.
Recent research has presented a conceptualization, metric, and instrument based on Microsoft Usability Guidelines (MUG; see Agarwal and Venkatesh 2002). In this paper, we use MUG to further our understanding of web and wireless site use. We conducted two empirical studies among over 1,000 participants. In study 1, conducted in both the United States and Finland, we establish the generalizability of the MUG conceptualization, metric, and associated instrument from the United States to Finland. In study 2, which involved longitudinal data collection in Finland, we delved into an examination of differences in factors important in determining web versus wireless site usability. Also, in study 2, based on a follow-up survey about site use conducted 3 months after the initial survey, we found support for a model of site use that employs the MUG categories and subcategories as predictors. The MUG-based model outperformed the widely employed technology acceptance model both in terms of richness and variance explained (about 70 percent compared to 50 percent).
Keywords: modeling; Usability guidelines; wireless
Algorithm:

List of Topics

#140 0.215 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#33 0.197 web site sites content usability page status pages metrics browsing design use web-based guidelines results implications portal loyalty navigability addition
#28 0.168 cultural culture differences cross-cultural states united status national cultures japanese studies japan influence comparison versus china participants country singapore diverse
#72 0.106 skills professionals skill job analysts managers study results need survey differences jobs different significantly relative required motivation programmers technical factors
#9 0.091 using subjects results study experiment did conducted task time used experienced use preference experimental presented decision-making empirical significantly effects better
#160 0.088 mobile telecommunications devices wireless application computing physical voice phones purchases ubiquitous applications conceptualization secure pervasive differential usability increasing local location