S Chintalapati - Int J Financ Res, 2021 - academia.edu
… the current study 1) Earlyadopters 2) Early majority EarlyAdopters: Also known as visionaries, the set of buyers that buy into a new product/innovation very early in its life cycle despite …
T Zijlstra, A Durand, S Hoogendoorn-Lanser, L Harms - Transport Policy, 2020 - Elsevier
… In this study, the earlyadopters are people within a certain population who are most likely to … to a machinelearning technique in order to reveal the profile of the earlyadopters (Section …
… In machinelearning, we define anomalies as observations which deviate sufficiently … in Machinelearning (ML) algorithms as there is always some noise, ϵ associated with the learning …
MS Lee, YC Choe, BJ Yoo - Information Systems Review, 2007 - koreascience.kr
… After the early adoptersadoptan IS, the difusion of the System to Other groupS Can be easier by earlyadopters’ voluntary advertisementand helpinadopting the IS. ImStead Of diSCIete …
… It employs machinelearning … , machinelearning models, and deep learning models. Rule-based systems rely on predefined rules for sentiment classification, while machinelearning …
E Bennett - Research in Learning Technology, 2014 - eprints.hud.ac.uk
… 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 earlyadopters in this study. …
… 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 earlyadopters or, at least, …
… In attempting to fill this gap, this paper focuses on the role of earlyadopters in the diffusion of innovation in industrial markets[1]. Earlyadopters are those clients who adopt an …
… of emerged sources, including social media, machineslearning, audio and video files, the … 1, AI and its algorithm based sub branches such as machinelearning, deep learning, neural …