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Recent Advances in Technology Acceptance Models and Theories

BuchKartoniert, Paperback
520 Seiten
Englisch
Springererschienen am17.03.20221st ed. 2021
This book tackles the latest research trends in technology acceptance models and theories. It presents high-quality empirical and review studies focusing on the main theoretical models and their applications across various technologies and contexts.mehr
Verfügbare Formate
BuchGebunden
EUR213,99
BuchKartoniert, Paperback
EUR213,99

Produkt

KlappentextThis book tackles the latest research trends in technology acceptance models and theories. It presents high-quality empirical and review studies focusing on the main theoretical models and their applications across various technologies and contexts.
Details
ISBN/GTIN978-3-030-64989-0
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2022
Erscheinungsdatum17.03.2022
Auflage1st ed. 2021
Seiten520 Seiten
SpracheEnglisch
IllustrationenXIV, 520 p. 105 illus., 69 illus. in color.
Artikel-Nr.50470988

Inhalt/Kritik

Inhaltsverzeichnis
Is it still valid or outdated? A bibliometric analysis of the Technology Acceptance Model and its applications from 2010-2020.- Models of Acceptance and Use of Technology Research Trends: Literature Review and Exploratory Bibliometric Study.- An integrated conceptual model for understanding the adoption of learning management systems in higher education during the COVID-19 outbreak.- Predicting Adoption of Visual Programming Languages: An Extension of the Technology Acceptance Model.- What Impacts E-Commerce Acceptance of Generation Z? A Modified Technology Acceptance Model.- A systematic review of mobile payment studies from the lens of the UTAUT model.- Conceptualizing a Framework for Understanding the Impact of Dynamic Accounting Information Systems on the Business Processes Capabilities.- A review of learning analytics studies.- Examining the factors affecting the adoption of IoT platform services based on Flipped Learning Model in Higher Education.- Evaluating the impact of knowledge management factors on m-learning adoption: A deep learning-based hybrid SEM-ANN approach.mehr

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