Are current models of technology acceptance explanatory enough? An analysis of potentially underexploited psychological correlates of technology acceptance. STANCIU, D. In The 13th eLearning and Software for Education Conference - eLSE 2017, volume 2, pages p616–623, 2017. abstract bibtex Technology becomes increasingly more pervasive in our lives. Therefore, a lot of research interests were invested into uncovering which factors influence technology's acceptance by the to-be or intended user. Amongst many others, social media has become a vehicle and a medium not only for transmission of information but for the construction of knowledge, and even for learning as well. To date, the most prominent models to date with respect to technology acceptance (TAMs) are Venkatesh and colleagues' models, based on their Unified Theory of Acceptance and Use of Technology, and Lowry and colleagues' Hedonic-Motivation System Adoption Model. Both models have their most recent versions developed in the 2010s and both incorporate the most relevant theories and models up to them. However, both models are based and justified on structural equation modelling, which can be a very unforgiving technique with respect to the inclusion of constructs of influence, due to the procedures required by the factor analysis for establishing convergent and discriminant validity. As such, many constructs which are relevant and that can serve to increase the explanatory powers of the above mentioned models, are treated superficially or even overlooked in the study of technology acceptance. One particular example of shortcomings of TAMs is their departure from a number of psychological constructs such as the users' evaluative processes with respect to safety, risk and security, need for connectedness, user self-objectification, users' perceived similarity with others, etc. Our paper presents a literature review to date and exposes constructs that, while not explicitly included in, or taken into consideration by the above-mentioned models, were revealed as having a good potential in explaining the technology acceptance and even to expand the explanatory power of the currently preeminent models.
@inproceedings{stanciu_are_2017,
title = {Are current models of technology acceptance explanatory enough? {An} analysis of potentially underexploited psychological correlates of technology acceptance.},
volume = {2},
abstract = {Technology becomes increasingly more pervasive in our lives. Therefore, a lot of research interests were invested into uncovering which factors influence technology's acceptance by the to-be or intended user. Amongst many others, social media has become a vehicle and a medium not only for transmission of information but for the construction of knowledge, and even for learning as well. To date, the most prominent models to date with respect to technology acceptance (TAMs) are Venkatesh and colleagues' models, based on their Unified Theory of Acceptance and Use of Technology, and Lowry and colleagues' Hedonic-Motivation System Adoption Model. Both models have their most recent versions developed in the 2010s and both incorporate the most relevant theories and models up to them. However, both models are based and justified on structural equation modelling, which can be a very unforgiving technique with respect to the inclusion of constructs of influence, due to the procedures required by the factor analysis for establishing convergent and discriminant validity. As such, many constructs which are relevant and that can serve to increase the explanatory powers of the above mentioned models, are treated superficially or even overlooked in the study of technology acceptance. One particular example of shortcomings of TAMs is their departure from a number of psychological constructs such as the users' evaluative processes with respect to safety, risk and security, need for connectedness, user self-objectification, users' perceived similarity with others, etc. Our paper presents a literature review to date and exposes constructs that, while not explicitly included in, or taken into consideration by the above-mentioned models, were revealed as having a good potential in explaining the technology acceptance and even to expand the explanatory power of the currently preeminent models.},
booktitle = {The 13th {eLearning} and {Software} for {Education} {Conference} - {eLSE} 2017},
author = {STANCIU, Dorin},
year = {2017},
pages = {p616--623}
}
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To date, the most prominent models to date with respect to technology acceptance (TAMs) are Venkatesh and colleagues' models, based on their Unified Theory of Acceptance and Use of Technology, and Lowry and colleagues' Hedonic-Motivation System Adoption Model. Both models have their most recent versions developed in the 2010s and both incorporate the most relevant theories and models up to them. However, both models are based and justified on structural equation modelling, which can be a very unforgiving technique with respect to the inclusion of constructs of influence, due to the procedures required by the factor analysis for establishing convergent and discriminant validity. As such, many constructs which are relevant and that can serve to increase the explanatory powers of the above mentioned models, are treated superficially or even overlooked in the study of technology acceptance. 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