Information technology acceptance models into practice : an applied statistical analysis

Abstract EN

The diversity and multiplicity of IT acceptance models and theories may pose a challenge in terms of model selection.

another challenge is related to proceeding with a study without even considering adopting or adapting a specific model or theory.

to address these challenges, this study which applied the design science paradigm has been conducted.

the researcher has particularly followed the taxonomy development method which provides guidance for researchers interested in developing taxonomies.

the developed taxonomy includes different characteristics, dimensions, and categories.

the study extends previous IT acceptance literature by developing a taxonomy which can help in assessing the degree of potential applicability of different IT acceptance models.

it consists of 3 categories, 19 dimensions involving a total of 91 characteristics.

the proposed taxonomy is of potential value to IT researchers in that it can be used in different ways.

one of which is that it can be used as a guide to consider theories and models other than TAM.

Despite diversity and multiplicity of IT acceptance models, an evaluation of the developed taxonomy of the current study indicates limitations of existing models in terms of addressing : a) IT acceptance at a group rather than an individual level, b) the impact of privacy, and c) the impact of gender on IT acceptance.

the current study calls for a scholarly shift of IT current acceptance research to consider analysing IT acceptance at group and organizational levels.