Predicting wearable IoT Adoption: Identifying core consumers through Machine learning algorithms

Author:

Choi Yunwoo,Lee Changjun,Han Sangpil

Funder

Korea Ministry of Science and ICT

Publisher

Elsevier BV

Reference57 articles.

1. Factors influencing the adoption of smart wearable devices;Adapa;International Journal of Human-Computer Interaction,2018

2. A Study on Lifestyle Typology and the Relationship between Lifestyle and Purchasing Behavior of University Students in Korea;Ahn;The Korean Journal of Advertising and Public Relations,2005

3. Towards a wearable education: Understanding the determinants affecting students’ adoption of wearable technologies using machine learning algorithms;Al-Emran;Education and Information Technologies,2023

4. Predicting the intention to use google glass: A comparative approach using machine learning models and PLS-SEM;AlHamad;International Journal of Data and Network Science,2021

5. Lifestyle Segmentation of IPTV Subscribers and their Attitudes toward Advertising;An;The Korean Journal of Advertising,2012

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