… stages, with buyers being categorised as early adopters or pioneers. However, if electric …
A machine learning model, based on the k-means method, is used for the analysis, creating …

… the current study 1) Early adopters 2) Early majority Early Adopters: Also known as visionaries,
the set of buyers that buy into a new product/innovation very early in its life cycle despite …

… In this study, the early adopters are people within a certain population who are most likely to
… to a machine learning technique in order to reveal the profile of the early adopters (Section …

… In machine learning, we define anomalies as observations which deviate sufficiently … in
Machine learning (ML) algorithms as there is always some noise, ϵ associated with the learning …

… After the early adoptersadoptan IS, the difusion of the System to Other groupS Can be easier
by early adopters’ voluntary advertisementand helpinadopting the IS. ImStead Of diSCIete …

… It employs machine learning … , machine learning models, and deep learning models.
Rule-based systems rely on predefined rules for sentiment classification, while machine learning …

… In attempting to fill this gap, this paper focuses on the role of early adopters in the
diffusion of innovation in industrial markets[1]. Early adopters are those clients who adopt an …

… The Technology Inclined attitude scores the highest on average, above 4 (out of a maximum
of 10 and a minimum of −10), meaning that respondents might be early adopters or, at least, …

… The discussion starts with the top level and works down the model’s levels illuminating the
extent to which there is a fit or dissonance with the data from the early adopters in this study. …

… We conjecture that this difference in results may arise from our focus on early-stage … early
adopters may have greater incentives to adopt NCAs for their workers since such adopters …