Framework for user acceptance: Clustering for fine-grained results

Teachers' acceptance and use of an educational portal

“…We argue, in line with the gender similarities hypothesis (Hyde 2005), that personal characteristics other than gender and age exist that have a more profound impact on technology acceptance. Previous studies have already found personality to influence users' technology acceptance (Sykes, Venkatesh et al 2007;Devolder, Pynoo et al 2008;Pynoo, Devolder et al 2009) while technology users also differ in terms of technology readiness (Parasuraman 2000) and innovativeness (Rogers and Shoemaker 1971;Marcinkiewicz 1993;van Braak 2001). Pynoo et al (2011) also found that right from the beginning teachers seem to adopt a base frequency of logging into their institution's portal site.…”

Exploring the implications of wearable virtual reality technology for museum visitors' experience: A cluster analysis

“…Individuals tend to have a different acceptance behaviour of IT in relation to socio‐demographic variables (e.g., age and gender) and psychographic characteristics (e.g., personality; Devolder et al, ). Accordingly, visitors witnessing technology‐mediated experiences at heritage attractions (e.g., museums) are likely to be segmented into different subgroups.…”

“…Del Chiappa, Andreu, and Gallarza (), for example, showed that emotions can be a suitable variable for segmentation of visitors at a museum and called for further studies aimed at deepening our understanding regarding the emotional responses that the museum visitation—as enhanced by social media, AR, and VR—elicit in visitors. In this direction, previous research (e.g., Devolder, Pynoo, Sijnave, Voet, & Duyck, ) suggested that individuals tend to have a different acceptance behaviour of information technology (IT) in relation to their socio‐demographics (e.g., age and gender) and psychographic characteristics (e.g., personality); this suggests that visitors witnessing technology‐mediated experiences at heritage attractions (e.g., museums) can be profiled into different subgroups. However, existing literature has not properly addressed this research area, and there is still a lack of research aimed at profiling visitors at museums based on their perceptions' and attitudes towards VR and investigating whether significant differences exist among them based on their socio‐demographic characteristics (e.g., age, gender, and level of education) and their emotional responses towards the visit as mediated and enhanced by VR.…”

IT adoption in social care: A study of the factors that mediate technology adoption

“…Further studies have been conducted outside the U.K., comprising a wide range of methods and contexts and indicate that it is an issue of global concern. These include an application of the decomposed theory of planned behavior in a social services setting in the United States (Zhang & Gutierrez, ), technology power in health and social care in Canada (Poland, Lehoux, Holmes, & Andrews, ), Business Process Reengineering in Danish social service administration (Hagedorn‐Rasmussen & Vogelius, ), social services contracting in the United States (Romzek & Johnston, ), nursing in Taiwan (Chen, Wu, Su, & Yang, ), physicians in the United States (Bhattacherjee & Hikmet, ; Klein, ), technology and nursing in Australia (Barnard & Gerber, ; Barnard, ), occupational therapists’ perception of information and communication technology in Australia (Taylor & Lee, ), Enterprise Resource Planning adoption among surgeons in Denmark (Jensen & Aanestad, ), meeting patients’ needs with ISs in Holland (Riet, Berg, Hiddema, & Sol, ), emergency room caregivers’ use of Radio Frequency Identification technology (Chen et al, ), and the process of technology acceptance in a Belgian university hospital (Devolder, Pynoo, Sijnave, Voaet, & Duyck, ).…”

“…Bhattacherjee, Limayem, and Cheung ( ) use UTAUT to examine users’ intentions to switch between IT providers. Devolder et al ( ) employ UTAUT, five factor model and the technology readiness index and conclude that it is necessary to acknowledge the individuality of subgroups of users during the implementation of new technologies.…”