Testing an extension to the model of acceptance of technology in household with undergraduate and graduate students of four universities in three global countries

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dc.creator Fillion, Gérard
dc.creator Ekionea, Jean-Pierre Booto
dc.creator Gonye, Kathy
dc.creator Nguejo, Aurelia Nicole
dc.date.accessioned 2019-06-04T15:28:04Z
dc.date.available 2019-06-04T15:28:04Z
dc.date.issued 2018
dc.identifier http://library2.smu.ca/bitstream/handle/01/28890/asb_proceedings_2018.pdf?sequence=3&isAllowed=y#page=75
dc.identifier.uri http://library2.smu.ca/handle/01/28895
dc.description.abstract Individual adoption of technology has been studied extensively in the workplace, but far less attention has been paid to adoption of technology in the household (Brown & Venkatesh, 2005). Obviously, mobile phone is now integrated into our daily life. Indeed, according to International Data Corporation (IDC), the market reached 1.472 billion mobile phones sold in the world in 2017 (ZDNet, 2018). In addition, according to Statista, there was 4.77 billion mobile phone users worldwide in 2017 while the population was reaching 7.6 billion people, and there will be 5.07 billion mobile phone users worldwide by 2019 (Statista, 2018). The purpose of this study is then to pursue the investigation on the determining factors that make such people around the world are so using the mobile phone. On the basis of the model of acceptance of technology in household (MATH) developed by Brown and Venkatesh (2005) to verify the determining factors in intention to adopt a computer in household by American people, this study extends this moderator-type research model to examine the determining factors in the use of mobile phone in household by undergraduate and graduate students from four universities within three countries over the world. Data were randomly gathered from 750 undergraduate and graduate students from Yaounde in Cameroon, Kinshasa in Congo, and New Brunswick in Canada who own a mobile phone. Data analysis was performed using the structural equation modeling software Partial Least Squares (PLS). The results revealed, among others, that two-third of the variables examined in the study, including the three new variables we added to the Brown and Venkatesh’s research model, showed to be determining factors in the use of mobile phone by undergraduate and graduate students. en_CA
dc.language.iso en en_CA
dc.publisher Atlantic Schools of Business en_CA
dc.subject.lcsh Cell phones -- New Brunswick
dc.subject.lcsh Cell phones -- Cameroon
dc.subject.lcsh Cell phones -- Congo
dc.subject.lcsh Diffusion of innovations -- New Brunswick
dc.subject.lcsh Diffusion of innovations -- Cameroon
dc.subject.lcsh Diffusion of innovations -- Congo
dc.subject.lcsh College students -- New Brunswick
dc.subject.lcsh College students -- Cameroon
dc.subject.lcsh College students -- Congo
dc.title Testing an extension to the model of acceptance of technology in household with undergraduate and graduate students of four universities in three global countries en_CA
dc.type Text en_CA
dcterms.bibliographicCitation Proceedings of the 48th Atlantic Schools of Business conference, Université de Moncton, 2018, pp 75-96


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