TY - JOUR
T1 - The use of Web 2.0 technologies in marketing classes
T2 - Key drivers of student acceptance
AU - Lowe, Ben
AU - D'Alessandro, Steven
AU - Winzar, Hume
AU - Laffey, Des
AU - Collier, William
N1 - Imported on 12 Apr 2017 - DigiTool details were: month (773h) = September, 2013; Journal title (773t) = Journal of Consumer Behaviour: an international research review. ISSNs: 1472-0817;
PY - 2013/9
Y1 - 2013/9
N2 - With the proliferation in Web 2.0 technologies, many marketing educators are experimenting with new teaching and learning tools (e.g. Facebook, Twitter, YouTube and Second Life). The benefits of such technologies are often touted by scholars, and indeed, there is a good deal of evidence to support such a view. However, increasingly, educators are highlighting some of the limitations of technology in the learning environment. To draw parallels with other new product research in marketing, the adoption of new learning technologies is often not so widespread. The literature exhibits inconsistency about the willingness of students to adopt new technology in a learning environment, but no systematic research into the factors that affect technology acceptance yet exists. This research fills a gap in the literature by applying an augmented Technology Acceptance Model (TAM) to understand students' future intentions to adopt Twitter, a Web 2.0 technology shown to offer students a variety of benefits. By using partial least squares, the research shows that the main proximal driver of student adoption of Twitter is a utilitarian attitude. Students need to be convinced about ‘what's in it for me’, rather than persuaded about the technology's hedonic benefits. Other affective variables such as an individual's affinity with computers and risk tolerance were also found to be important drivers of perceived ease of use and perceived usefulness, the TAM's key antecedents.
AB - With the proliferation in Web 2.0 technologies, many marketing educators are experimenting with new teaching and learning tools (e.g. Facebook, Twitter, YouTube and Second Life). The benefits of such technologies are often touted by scholars, and indeed, there is a good deal of evidence to support such a view. However, increasingly, educators are highlighting some of the limitations of technology in the learning environment. To draw parallels with other new product research in marketing, the adoption of new learning technologies is often not so widespread. The literature exhibits inconsistency about the willingness of students to adopt new technology in a learning environment, but no systematic research into the factors that affect technology acceptance yet exists. This research fills a gap in the literature by applying an augmented Technology Acceptance Model (TAM) to understand students' future intentions to adopt Twitter, a Web 2.0 technology shown to offer students a variety of benefits. By using partial least squares, the research shows that the main proximal driver of student adoption of Twitter is a utilitarian attitude. Students need to be convinced about ‘what's in it for me’, rather than persuaded about the technology's hedonic benefits. Other affective variables such as an individual's affinity with computers and risk tolerance were also found to be important drivers of perceived ease of use and perceived usefulness, the TAM's key antecedents.
U2 - 10.1002/cb.1444
DO - 10.1002/cb.1444
M3 - Article
SN - 1472-0817
VL - 12
SP - 412
EP - 422
JO - Journal of Consumer Behaviour
JF - Journal of Consumer Behaviour
IS - 5
ER -