engleski

Technology Adoption at Individual Level: Toward an Integrated Overview

In view of technology adoption at individual level (TechA@IL), numerous theories and models have been put forward to predict and explain human behavior towards technology adoption and actual use. However, while some of these models have enjoyed widespread use, a study that offers a systematic presentation of the progress made in the field of TechA@IL aiming to track models’ evolvement, mutual influence and inter-dependence remains lacking. Consequently, instead of intending to compare theoretical perspectives, including their applicability and explanatory power to acclaim which model is more valid or powerful, this study brings a chronological account of more than half a century of research presenting an overview of relational linkages among seventeen most influential models of TechA@IL. Models’ core independent constructs (i.e., predictors), which affect behavioral intention and influence actual use, are thematically grouped into individual aspects, task & technological aspects, and social & environmental aspects. Thus, based on Eason’s framework, the Triad of Predictors explaining the key dependent constructs of interest, i.e., behavioral intention to use particular technology and its actual use, is proposed. Besides, to provide a comprehensive insight into current state of knowledge with respect to TechA@IL, a succinct account of several hybrid theoretical perspectives is offered. Limitations of the study and potential directions of future research are discussed as well. This research is believed to enhance understanding and appreciation of the progress made in the field of TechA@IL, and should be of interest to both, researchers and practitioners interested in technology adoption.

Technology Adoption ; Individual Level ; Integrated Overview ; Triad of Predictors ; Review

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