Web-enabled wireless technology: an exploratory study of adoption and continued use intentions

Abstract

This study builds upon previous research by comparing and contrasting the decision to adopt wireless technologies with the decision to continue to use wireless technologies. In the context of web-enabled cell phones, we propose, test and compare the predictive ability of two value-based models using a multi-group analysis. The findings suggest that regardless of whether an individual was choosing to adopt or continue to use a web-enabled cell phone, perceived usefulness, enjoyment and perceived fee influenced perceived value. In turn, perceived value influenced the adoption or continued use decision. Technicality had a significant negative effect on perceived value in the context of continued use, but not for adoption. Our results also suggested a shift in the importance of benefits in the formation of perceived value; perceived usefulness played a greater role for adopters, while enjoyment played a better role for continued users. Lastly, our results indicated that uncertainty avoidance did not mediate the relationship between perceived value and intention in either the continued use or adoption contexts, while habit was significant in its mediation of the relationship between perceived value and continued use intention. Collectively, habit and perceived value explained 71% of the variation in continued use intention.

Social media adoption among university students: the role of gender, perceived usefulness and perceived ease of use

“…Thus the dimensions of the perceived usefulness constructs adopted for this study were significantly predictive of the adoption of social media by the youth (Davis et al, 1992;Lu et al, 2009;Sago, 2013;Lee et al, 2007;Strader et al, 2007). Similarly, the study found the dimensions of perceived ease of use to be significantly predictive of the adoption of social media in line with evidence from extant literature (Burton-Jones and Hubona, 2005;Ilie et al, 2005;Lee et al, 2007;Sago;Setterstrom et al, 2013;Strader et al, 2007;van Slyke, 2007). It is noted that, perceived usefulness and perceived ease of use even though influenced the adoption of technologies such as social media as in this study, with time technologies become very easy to use and their usefulness become obvious.…”

“…This finding is consistent with most previous studies. For example Setterstrom et al (2013) and Sago (2013) note that people adopt some technology because they are less complex to use. On the other hand, if the technology is complicated and a special skill is needed to operate, people will not use or adopt such technology (Davis et al, 1989).…”

“…Considering that human's effort is a limited resource, an application perceived to be easier to use than another is more likely to be adopted by users (Davis et al, 1989). Numerous studies have found perceived ease of use is a major determinant of attitude towards a technology (Burton-Jones and Hubona, 2005; Setterstrom et al, 2013). Sago (2013) concluded that the perceived ease of use of the social media services is the reason for its frequent use.…”

The Technology Integration Model (TIM). Predicting the continued use of technology

“…Several theories of continued use describe a set of variables which predict technology adoption, and then include additional variables to the initial model to explain continued use (Setterstrom, Pearson & Orwig, 2013;Kim & Crowston 2011). Others consider continued use in isolation as its own behavior (Bhattacherjee, 2001;Limayem, Cheung & Chan 2003).…”

The equivalence of Internet versus paper-based surveys in IT/IS adoption research in collectivistic cultures: the impact of satisficing

“…They found that survey research is prominent and an increasing proportion of that research was conducted using Internet surveys (e.g. Kim et al 2009, Setterstrom et al 2012.…”